Arman Gheysvandi
Volume 22, SEPEHR , April 2013, , Pages 98-101
Abstract
Recently, the necessity of considering natural resources as the basis and foundation for the development of economic infrastructure in developing countries (like ours) has become quite clear. The necessity of decent development and management, allocating facilities, using domestic potentials and knowledge ...
Read More
Recently, the necessity of considering natural resources as the basis and foundation for the development of economic infrastructure in developing countries (like ours) has become quite clear. The necessity of decent development and management, allocating facilities, using domestic potentials and knowledge of natural geographical spaces are among the priorities of the country management. Nowadays, planning has been accepted as the most influential tool in facing complex problems and providing key solutions for managing crisis and allocating facilities. This requires a holistic and complete knowledge of the geographic area on one hand, and integrated, synchronic analysis of all influential elements in that area. This knowledge and analysis needs a system which can store all spatial features in an information bank and represent them according to the needs of the planner in the form of map and information tables. Geographic Information System (GIS) has been introduced in the last decades as one the most influential planning tools in collecting, analyzing and representing information visualy. The present article seeks to investigate the status and role of information system in different studies on natural resources and its influences.
Parastoo Khosravian Arab; Gholamhosein Rastegarnasab; Zahra Arzjani; Mansooreh Banazadeh
Volume 23, Issue 89 , May 2014, , Pages 99-101
Abstract
In the present century, a massive scientific, intellectual and philosophic revolution has happened in our understanding of the universe. Meta space theory introduces new dimensions to the accepted four dimensions of space-time. In fact, according to this theory the world is located in a Meta dimensional ...
Read More
In the present century, a massive scientific, intellectual and philosophic revolution has happened in our understanding of the universe. Meta space theory introduces new dimensions to the accepted four dimensions of space-time. In fact, according to this theory the world is located in a Meta dimensional space. Scientifically, this theory accompanies Kaluza-Klein theory or super gravity. But superstring is its most developed formula, which even predicts the exact number of dimensions. So, six other spatial dimensions are added to the three commonplace dimensions of space (length, width and height) and the one dimension of time. Therefore, the present article seeks to display that science certainly needs higher dimensions to describe hidden layers of natural laws. So that, even known laws of the nature expressed in higher dimensions become surprisingly simpler, symmetrical and more beautiful and nature finds its real position in a geometry with higher dimensions.
Ehsan Alvandi; Mahtab ForootanDanesh; Mohammadreza Dahmardehghalenow
Abstract
Extended Abstract
Introduction
Certain kinds of land use can change the hydrology of the Watershed, altering the way water and pollutants move through the drainage basin. For example, as an area of land is converted from open space (e.g. woodland) to residential, the amount of runoff for that area ...
Read More
Extended Abstract
Introduction
Certain kinds of land use can change the hydrology of the Watershed, altering the way water and pollutants move through the drainage basin. For example, as an area of land is converted from open space (e.g. woodland) to residential, the amount of runoff for that area of land will increase as the amount of impervious surface increases. Rain, which would have once seeped into the soils beneath the forest floor and been absorbed by tree roots, instead flows off impervious surfaces (roofs, driveways, streets, parking lots, etc.) into the nearest stream, pond, or lowland area. Landuse change due to human activities, is one of the important issues in the regional planning. In many areas of Iran, land use and land management, regardless of land abilitycaused the loss of capital and reduced the capacity of the environment. Land suitability is the fitness of a given type of land for a defined use. The land may be considered in its present condition or after improvements. The process of land suitability classification is the appraisal and grouping of specific areas of land in terms of their suitability for defined uses. Land evaluation is a process for matching the characteristics of land resourcesfor certain uses using a scientifically standardized technique. The results can beused as a guide by land users and planners to identify alternative land uses.
Materials & Methods
In this study, using multi-criteria decision- making methods and GIS, modeling suitability of land for urban development, and determining the compatibility between existing applications, in Ziarat watershed of Golestan province, was investigated.Ziarat watershed is important in Golestan Province and yet critical in terms of land use change, erosion and flooding. In this basin, regardless of ecological capability for urban development and the lack of attention, land use change happened in the recent years. In this study, referring to the 10 experts in the relevant fields and using Analytical Hierarchy Process (AHP) is a weight for each criterion. The Analytic Hierarchy Process (AHP) is a structured technique for organizing and analyzing complex decisions based on mathematics and psychology.In this study, combining maps of criterion and suitability of land for urban development of SAW and TOPSIS technique was used. Finally, the study examines the compatibility between existing land use inZiaret watershed ofGolestan province.
Results & Discussion
According to the results, the residential areas using TOPSIS and SAW techniques were 37 and 79.4 hectares of the total area of Ziarat watershed, respectively. But the current situation of the residential areas in the watershed were 141.3 ha. In modeling land suitability for urban development due to the presence of spatial dependency between criterion maps, the best way to combine criteria and calculate the suitability of the user, is using the TOPSIS technique. The results of land uses compatibility showed that, residential land use with compatibility 0.118245 was the lowest compatibility between current land uses in the watershed.
Conclusion
Given the abilities of GIS and multi-criteria decision-making methods in modeling the suitability of land for urban development,the more accurate the expert opinions and the more updated the data and information, the better results will be achieved using these tools and techniques.Therefore this technique is very effective in the watershed in case of lack of data. Also, when there exist complications due to a number of qualitative and quantitative criteria, MCDM plays an important role.As the results of land suitability modeling using SAW and TOPSIS techniques with the aid of specific software functionality ArcGIS 10.1, it is clear that a small area of the basin have created conditions of urban areas. According to the results of land suitability modeling, the catchment area of residential areas is more than twice the land area.Also, residential areas have been constructed in the basin in inappropriate places such as steep slopes and river boundaries, and do not have residential conditions.
Pouria Kharazi; mohammad reza Yazdani; Haideh Ara; payam khazaealpour
Abstract
Extended Abstract 1. Introduction Problem related to water scarcity has always been one of the most important issues to be considered in arid and semi-arid regions. Due to the seasonality of surface water drainages and subsurface structures in these regions, it is necessary to use structures which ...
Read More
Extended Abstract 1. Introduction Problem related to water scarcity has always been one of the most important issues to be considered in arid and semi-arid regions. Due to the seasonality of surface water drainages and subsurface structures in these regions, it is necessary to use structures which control and store the water flow in order to be used during arid seasons. One of these types of structures is underground dam to control the flow of water in the subsurface. In semiarid and arid areas in which deserts are progressing, exploitation of water has been focused on underground surface water resources having the trouble of stability (Ouerdachi, L., et al., 2012). These conditions require the use of surface and underground short dams for exploiting water in developing countries with arid weather situations. At present, these kinds of structures have been desirably featured in terms of both implication and efficacy in performance (Nilsson 1986, Cavalcanti, N.B., 2001). 2. Materials and methods The area studied is part of Semnan province and its surroundings are 216467 hectares in width which geographically have the coordinates of 53D 81M to 53D 15M eastern longitude and 35D 13M to 35D 85M northern latitude. Evaluation of station climes studied by both Domarten and Amberje indicates that the studied span has a semi dry-cold climate at heights reaching cold-arid climate where lower-height areas exist. The situation of considered area is shown in Figure 1. With respect to climatic conditions, there are many syllabic flows throughout side hills of the area where underground dam’s establishment is a proper way to control aridity problem in arid seasons of this area. The most significant data of this study are related to topography, geology, underground water, and aqueduct resources. Software used in this research are both expert choice to prioritize and Geography information systems to combine data. In this research, basic criteria of evaluation including water, pedestals, fountain, economic-social criteria have been targeted at the highest range placing indicators and incidentals criteria at other categories of AHP. Then, proper locations for underground dam establishment have been prioritized. 3. Results and discussion Based on Gorry and Morton method, decision-making supportive systems are either the systems capable of transporting data or computerized systems which can be used to solve our problems clearly or partly clearly known or unknown respectively (Gorry, G. A., and Morton, M.S., 1971). Decision-making supportive systems are models which receive vast majority of data and deliver many solutions specifically designed to overcome the existing problem (Klosterman, R.E., 1997). Decision support systems (DSs) used in identifying proper location to underground dam establishment possess AHP mode and are used in three stages. 4. Conclusion Considering climatic conditions over the area studied and existing stream, Underground dam establishment highly affects both performance revising and balancing act in underground water removal. Using new methods instead of traditional and time-consuming ones, can highly help with saving time and cost to underground dam location-finding. In the first step of this research, presented DSs considering eliminating criteria in the area of 216467 hectares in width assign suitable pedestal in each limit which is capable of potential underground dam establishment. Then, in the second step, the most suitable strait in each limit is assigned to the underground dam establishment. In the latest step after weighting each main criterion at its related map and as well adding total values of map pixels together in a software called GIS, 8 locations to underground dam establishment at the second step of location-finding in fifth scenario were prioritized as follows: First scenario (weights equality of four main criteria) locations: 5, 3, 2, 4, 6, 1 Second scenario (priority with water criterion) locations: 5, 3, 2, 6, 1, 4 Third scenario (priority with pedestals criterion) locations: 5, 6, 4, 3, 1, 2 Forth scenario (priority with fountain criterion) locations: 3, 6, 4, 5, 1, 2 Fifth scenario (priority with economic-social issues) locations: 3, 1, 5, 4, 2, 6 As shown in most scenarios, pedestals A and D mostly take first to third place. Furthermore, theses pedestals as the best ones catering for all groups’ opinion to underground dam establishment can be offered.
Saeed Maleki; Ali Shojaeean; Ghasem Farahmand
Abstract
Extended Abstract
Introduction
Urban heating is one of the most well-known forms of local manipulation of the climate by mankind, so that changes in the use of land cover in urban areas can lead to an increase in urban temperatures relative to the air temperature in rural areas. This phenomenon has ...
Read More
Extended Abstract
Introduction
Urban heating is one of the most well-known forms of local manipulation of the climate by mankind, so that changes in the use of land cover in urban areas can lead to an increase in urban temperatures relative to the air temperature in rural areas. This phenomenon has been quantified in the form of the Urban Heat Islands (UHI) and has been studied and recorded for over 150 years in various cities of the world. The effect of the Urban Heat Island refers to an increase in the temperature of each man-made area, with respect to the surrounding surfaces. This phenomenon in urban areas refers to an increase in the temperature of cities with respect to the rural and suburban areas. On the other hand, the heat island directly affects the health of urban wildlife. Each year, in the United States, about 1,000 animals die due to the temperature rise, and more than that are destroyed because of the urban air harmful compounds. These changes in the pattern of winds have very important and dangerous consequences, such as the transmission of air pollution and dispersed toxic particles from cities to the suburbs, to disruption the people’s comfort within the city, which is why the heat islands are now considered as the causes of worrying about people’s health. Moreover, the heat islands change the wind patterns in the cities and surrounding areas. The suburban breeze is a dominant phenomenon in cities that are located on a flat land. The presence of heat islands, in addition to temperature changes, causes changes in land processes such as early flourishing of urban plants and longer growing season.
Materials and Methods
The present research has been an applied research in terms of targeting and a field-analytical one in terms of data collection. In order to reach the final goal of the research, the meteorological statistics of the synoptic meteorological station of Urmia city was studied first. Then, the study of different regions of the city was done in terms of temperature given the 9 stations set up inside the city and the suburbs. The data of 9 stations set up in the city was adjusted by installing a dry temperature sensor at an altitude of 180 cm, in cooperation with the municipality of Urmia, at a minimum and maximum daily rate of two hours (7:30 am and 5:30 pm) in hourly, daily and monthly forms. It should be noted that, the desired statistical period is from April 21, 2015 to July 22, 2015, and the readout pattern is on a daily basis, and its output is in the form of 1st to 4th of each month (days 7, 15, 22 and 29 of each month).
Result and conclusion
The rapid growth of urbanization and the increase in the population of Urmia city has caused significant changes in the physical and natural conditions of the city. This increase and expansion of the urbanization trend has affected some of the meteorological quantities in a way that, the performed studies indicate that the minimum temperature of Urmia city during the twenty year period is increasing in all months of the year compared with the neighboring stations. Nevertheless, specifying the limits of the Urmia heat island requires more precise studies. The study of the isothermal map of the average maximum temperature in the months of May, June and July, 2015 indicates that the Velayat-e-Faqih square station with a temperature of 29.41 degrees Celsius accounts for the highest temperature compared with eight other stations and in fact, has formed the center of the heat island. At the same time, the station for the license plate exchange center in the city of Urmia with a maximum temperature of 22.27 Celsius, is the coolest station compared to other stations, indicating a heat difference of 6.64 Celsius in the city. According to the above map, the intensity of the heat island decreases by distancing from center of the city. But the most important result that can be obtained from the above maps is the extension of maximum temperature curve toward parts of the East and South-east. The reasons for the high average temperature at the station of the municipality town and the station of Golman Khane can be summarized as follows:
The existence of 90% of industrial uses, workshops and factories at the edge of these stations
Wind flow
Given that wind is the most effective barrier against the formation of heat islands, the combination of the wind field with the pattern of heat island’s spatial variations shows significant results, which is a sign of the great impact of wind on the quality of formation of the heat island. The wind contributes to the extension of the heat island’s curve through the transfer of suspended particles and gases existing in the urban atmosphere.
Zohreh Maryanaji; Sayyed Akbar Hosseini; Hamed Abbasi
Abstract
Extended Abstract Introduction Growing demands for energy, increasing living standards and increasing use of electrical energy along with the overheating of planet Earth, as well as environmental problems and threats to human health are among the issues that attract the world’s attention to the ...
Read More
Extended Abstract Introduction Growing demands for energy, increasing living standards and increasing use of electrical energy along with the overheating of planet Earth, as well as environmental problems and threats to human health are among the issues that attract the world’s attention to the use of renewable energies. So, new energy resources, including wind energy, account for one third of the energy needed for countries in the annual planning. Since Hamadan is one of the provinces in Iran with severe winds with relatively good continuity, the use of this energy in wind turbines is indispensable for generating electricity at the provincial level, especially in impassable areas. Today, many dangers, including the threat of climate, change the Earth’s environment. This controls the methods that can reduce the use of renewable energies such as solar, geothermal, wind, etc. Strong and frequent winds are very important energy sources for many parts of the country. In this study, the average and maximum wind speed yearly energy (annually and seasonally) and its energy based on the data from nine synoptic stations in Hamadan province in the climate period of 2000-2014 have been analyzed and spatial velocity of wind speed and its energy in this region were studied. Materials & Methods: The length of the statistical period in the present study was 10 years. After checking the accuracy of the data, the mean and maximum of the seasonal and annual wind speed were calculated and drawn. Then wind energy was calculated using wind power density (watts per square meter), air density (g / cm3), wind speed (m/s). To investigate the spatial distribution of wind energy potential in Hamadan province based on the obtained information, the values were zoned using Kriging method in GIS. Finally, the probability of occurrence and the prediction of the return period of wind were calculated using the Log Pearson type 3 method. Results & Discussion According to the zoning plan, the maximum annual wind speed in the Hamadan is related to the southern parts of the province. Some parts of the province in Kabudrahang are accompanied by intense storms. In winter, maximum wind speed is determined by the instability of air and weather in areas of Hamadan province. The Average annual wind speed zoning pattern indicates that the east parts of Hamadan and some parts of Malayer and Razan have the highest average wind speed (above 3 meters per second), while in other parts of the province it is less than 3 meters per second. The Eastern part of Hamadan province (from the South east to the North east), are the windiest region of the province, and in most of the times of a year these parts have the potential of wind power production. Some regions of the Southwest are also capable of producing wind power during the year. Conclusion The role of topography on wind speed in Hamadan province is noteworthy. The mountainous regions of the province such as Hamadan, Nahavand and Asadabad are more exposed to the winds of the plains - mountains. Hot wind is also one of the meteorological phenomena due to the mountain effects, which is often found in the city of Hamadan. The East and parts of the city of Malayer, and especially in the Northern areas of the province with the highest average wind speed (above three meters per second) and the West and Southwest shown with minimum wind speed during the period specified. Most of the year, the most windy areas, Eastern and Northern regions of the province, have the ability to produce electricity from wind energy. Kabodarahang plain areas of the city of Razan have the highest wind energy potential in watts per square meter and the greatest potential for energy production from wind in Hamadan is in spring and autumn. In the studied area, Nojeh station (North of the province) with more than 18%, and then Malayer station (Southeast of the province) with more than 17%, have the priority for establishing wind turbines due to wind speed persistence. By studying the occurrence of wind speed in the meteorological stations of Hamadan province, some areas of the Razan plain and Kabudrahang are suitable for planning wind power usage.
Seyyed Yaser Hakimdoust; Alimohammad Pourzeidi; Mohammad Saleh Gerami
Abstract
Introduction
Precipitation is an atmospheric factor, its quantity and distribution vary considerably in different parts of the planet, and is one of the most influential climatic elements that has always been influenced by the climate. Its amount changes in time and place continuously.Knowing the temporal ...
Read More
Introduction
Precipitation is an atmospheric factor, its quantity and distribution vary considerably in different parts of the planet, and is one of the most influential climatic elements that has always been influenced by the climate. Its amount changes in time and place continuously.Knowing the temporal and spatial distribution of rainfall is a useful tool for understanding how non-uniform distribution of water resources and vegetation in each region takes place.Precipitation occurs when the wet weather and the climb factor exist both in the region.In other words, the wet air must rise to a certain height so that it can reach the saturation point due to the subsequent cooling down, and in the next, the cloud produces precipitation.The absence of any of these two factors prevents the occurrence of precipitation.
Rainfall variation is considered as a key factor in the structure and functioning of ecosystems, but its impact on scale and magnitude is much less than its spatial variation.The climatic element, especially precipitation, has significant changes in time periods.Therefore, the recognition of the element of precipitation as one of the two elements of the climate and its changes in different times and places allows the optimal utilization of the natural environment.The amountand spatial distribution of rainfall is a fundamental factor for decision making, design and evaluation of hydrological models as well as water management and planning.Temporal spatial variations have diverse and varied impacts on the management and planning of water resources along a water basin.Climate change is one of the factors affecting the change of water resources.Precipitation, as a highly variable element, has always been a concern for climatologists and waterologistsas a fundamental factor in the blue balance. The extreme variability of rainfall along the time-space has a variety of study approaches.The purpose of this research is to identify the conditions of rainfall in Mazandaran province. Therefore, the location of rainfallin this province was investigated.In this regard, identification of the effective factors of the occurrence of these rainfall in different seasons and their role in the province has been addressed and its results will be available as a scientific and practical solution.
Materials and Methods
In this study, for the purpose of identifying the rainfall in the province of Mazandaran, five years of rainfall from 2006 to 2010 have been used from a total of 12 synoptic stations.Using extracted data from precipitation graphs, rainfall of more than 10 mm was extracted in the studied area.Then the data were categorized into four parts: spring, summer, autumn, and winter of the year. To create the database, they entered the SPSS and ARC GIS10 software.In the spatial analysis of the data, the semi-modification of these models has been used, which was calculated using ARC GIS10 software.The methods used in the zoning of Kriging and IDW models for fitting include: IDW with three potentials of 1,2,3, and the Kriging method with spherical, circular, exponential, Gaussian, and spherical models, which is performed with conventional Kriging technique.Also, for statistical comparison of models, root mean square error of RMSE, MAE, RMSE and their correlation coefficient were used.Then, optimal mapping based on multivariate regression was fitted based on the simulation method and the recursive method of six variables in rainfall generation including latitude and longitude, number of rainfall days, elevation, relative humidity and dew point temperature. The effects of these factors on rainfall in the province will be evaluated in different seasons and annually.
ResultsandDiscussion
The results of the spring survey show that there were 5 stations out of 12 stations without rainfall.These stations are located in the plain and in the mountain range of the region.The analysis showed that the correlation coefficient between variables is R^2= 967, which indicates a strong relationship between the set of independent variables and the dependent variable.85.8% of rainfall in the spring season in Mazandaran province depend on these variables. In the summer, only 2 stations in the province did not experience rainfall ranges, both of which were at high altitudes and include the station Alasht and Kyasar.Variables show a very strong relationship in the summer with a correlation coefficientof R^2=0.995 which is 0.9. 9%of rainfall in Mazandaran province depends on these six variables.The fall season is one of the high seasons in the province of Mazandaran. Only one station (Siahbisheh) has been registered from 12 storm rainfall stations.Estimates show that the six variables analyzed in this chapter with a correlation coefficient of R^2 = 0.983 represent a strong correlation.The results of the winter season show that all stations in Mazandaran province have rainfall, although it includes fewer days than theautumn season.All stations experience at least one day at Alasht Station for up to 7 days in Ramsar.The results of the analysis show that in winter, the correlation coefficient is R^2 = 0.996.
Conclusion
For zoning of the study area, the IDW method with three potentials of 1, 2, 3 and the Kriging method have been used with spherical, circular, exponential and Gaussian models. The evaluation and determination of the best model and verification of the produced maps was carried out. Also, for statistical comparison of the models, the root mean square errors of RMS, MAE, RMSE and their correlation coefficient were used, which, the best model for zoning was the IDW model with two potentials of 1,3 and ordinary circular kriging. Optimal mapping was done by multivariate regression based on the model of synchronous and retrograde method, and six variables that have the greatest effect on rainfall, including latitude and longitude, rainfall days, elevation, relative humidity and dew point temperature were studied.The results show that the correlation values of these six variables are 0.97 in spring, 0.99 in summer, 0.98 in autumn, 0.99 in winter and 0.99 in annual rainfall which indicates a strong relationship between these six variables in the rainfall ofMazandaran province.
Sayyad asghari Saraskanrood; behrooz khodabandelo; Ahmad Naseri; Ali moradi
Abstract
Extended Abstract Introduction Currently, two general methods are used for classification of digital satellite images: pixel-based and object-oriented processing. Unlike pixel-based Methods, object-oriented techniques employ different geometric, spatial, spectral, and form-based algorithms, and selecting ...
Read More
Extended Abstract Introduction Currently, two general methods are used for classification of digital satellite images: pixel-based and object-oriented processing. Unlike pixel-based Methods, object-oriented techniques employ different geometric, spatial, spectral, and form-based algorithms, and selecting the most efficient algorithm in this process requires a lot of experience in image processing. In addition, multiple algorithms usually offer different results and this in many cases makes the selection of efficient algorithms difficult. In general, pixel-based classification includes supervised and unsupervised methods. Examples of these methods include maximum likelihood, neural network and support vector machine. Maximum likelihood method is one of the most effective methods used for image classification. Object-oriented methods take advantage of knowledge-based algorithms, and thus overcome problems pixel-based method faces because of not using geometric and textual information. In order to achieve high classification accuracy, two methods of pixel-based and object-oriented classification are compared in this research. On the one hand, integrated planning and management of urban areas, and on the other hand, collecting reliable information regarding land use makes this kinds of studies indispensable. Materials&Methods Present study seeks to extract urban land use map. Thus, necessary data was received from Sentinel-2. Moreover, ENVI 5.3, eCognation 9, SNAP, ArcGIS 10.3, Google Earth, and land-use data were also used to process images and analyze data. In SNAP, atmospheric correction process was performed on images collected from the study area using SEN2COR plug-in. Samples collected from each class of Sentinel-2 satellite image were mapped on the image area. Pixel classification algorithms, support vector machines, maximum likelihood, artificial neural network, Minimum Distance to Mean (MDM), parallelepiped and Mahalanobis distance were used. Finally, land use classes (residential, gardens and green spaces, wastelands and passageways) in the study area were mapped using different classification algorithms. For object-oriented classification using nearest neighbor algorithm, the satellite image was first segmented in eCognation software using the Multiresolution Segmentation Algorithm. Parameters such as scale, shape and compactness were also studied in the image segmentation stage. Through trial and error, an appropriate value was selected for parameters used in segmentation. For practical comparison of the results, the same educational data was used in both object-oriented and pixel-based classification methods. Then, the most important methods for assessing accuracy including overall precision and kappa coefficient were extracted. Results & Discussion As one of the most important methods used for extracting information from remotely sensed images, classification allows users to produce various types of information such as coverage maps, and land-use maps. Classification of satellite data includes segregation of similar spectral sets and classification of sets with the same spectral behavior. Regarding the resolution of images used (10 m) in this study, only 4 land-use classes possessed the required resolution capability for pixel-based classification of Sentinel-2 satellite images. These classes include built-up (residential) area, waste land, urban green space and street network. In this regard, support vector machine, maximum likelihood, artificial neural network, Minimum Distance to Mean, parallelepiped and Mahalanobis distance were used for classification. Classification results indicate that compared to other pixel-based methods, maximum likelihood method and Minimum Distance to Mean method show a precision of 85% or higher. In present study, geometric properties of land use classes (including scale, shape, and compactness) were used for segmentation and this process was performed by multiresolution method. For this purpose, results of image segmentation process were analyzed based on different parameters (with different scales) and spatial resolution of the image. In this way, appropriate values for segmentation were selected based on the specific features of the study area (an urban environment) through trial and error. Then, the proper image segmentation was selected and prepared for the classification stage using the above mentioned parameters. In the next step, 20 effective parameters including statistical indices, mean score of bands, NDVI index, standard deviation of the bands and geometric index were used for classification. Conclusion The present study took advantage of six pixel-based methods (Support Vector Machine, Maximum Likelihood, Neural Network, Minimum Distance to Mean, Parallelepiped, and Mahalanobis) along with object-oriented classification method to produce a land-use map for Zanjan city. The accuracy of classification in different methods were compared and statistically analyzed using overall accuracy coefficient, kappa coefficient, user’s accuracy, and producer’s accuracy. The results of statistical analysis of the accuracy coefficients indicated that Minimum Distance to Mean and Maximum Likelihood method -with a Kappa coefficient of 90% and 85% respectively- are acceptable methods for land use mapping. Moreover, comparing pixel-based and object-oriented methods, it is possible to conclude that object-oriented approach with a Kappa coefficient of 0.95% and overall accuracy of 97.9% shows a higher potentiality. Nearest Neighbor algorithm is one of the most important reasons for achieving this high accuracy in object-oriented classification. In addition to the spectral information, this method uses information collected about issues like texture, form, position, and content for the classification process. Methods used in this study prove the accuracy of objective-oriented technique by employing effective parameters and developing rules to modify the initial classification of object-oriented technique. Another advantage of object-oriented method (as compared to pixel-based methods) is that apart from spectral information and statistical data, it is possible to apply several other indicators such as shape, texture, color, dimensions and altitude of the phenomena in the final land use map produced by this method. Finally, it should be noted that object-oriented classification has been developed for high resolution spatial data.
Reza Borna
Abstract
Extended Abstract
Introduction
Dust is one of the atmospheric and climatic disasters whose occurrence causes environmental damages, respiratory and heart diseases, land and air traffic, tourist and agricultural problems, etc. Considering the great damages of this phenomenon and the possibility ...
Read More
Extended Abstract
Introduction
Dust is one of the atmospheric and climatic disasters whose occurrence causes environmental damages, respiratory and heart diseases, land and air traffic, tourist and agricultural problems, etc. Considering the great damages of this phenomenon and the possibility of an increase in its occurrence in the coming years, the attention of the government and the implementation of appropriate solutions are essential in this regard. It is obvious that, before implementing the operational plans, the appropriate ways of dealing with this phenomenon can be found by having sufficient information and knowledge about it and the way and causes of its occurrence. To this end, it is essential to use the experiences and findings of other countries in this field in order to take a substantial step in this way by applying the right and principled methods. Some of the most important objectives of this research are to identify the factors affecting the dust phenomenon in Khuzestan province, to identify the methods of preventing the effects of dust in Khuzestan province, to use the AHP model for ranking the methods of preventing the effects of dust using the Analytic Hierarchy Process (AHP) in the study area.
Materials & Methods
The methodology of this research is analytical-descriptive, and the research is of applied type. In this research, the meteorological statistics of 12 meteorological synoptic stations of Khuzestan province were used during the period 0f 2001-2014 and, the map of the dispersion of dust storms in Khuzestan province was prepared. Considering the experts’ opinions, the major criteria which include the criteria of individual factors, extraterritorial factors and State factors were determined and then, the sub-criteria were determined for each criterion. After determining the criteria, the hierarchical graph of the criteria was created. Then, the criteria were compared with each other in the pairwise comparison matrices and the weight of each criterion relative to another one was assigned to that criterion in terms of the priority value. After the completion of the paired comparison matrices, the tree of criteria was created in EC2000 software, then, the applied scores were entered into the EC2000 software and the relative weight of each criterion resulted from the sum of the product of the significance of criteria and sub-criteria was obtained. The analysis of the inconsistency rate value is performed by EC2000 software during the pairwise comparison for each set.
Discussion & Results
Based on the yearly frequency of the occurrence of days with dust phenomenon during the 13 year statistical period (2001-2014), a total of 592.7 dusty days has been reported for the province of Khuzestan at the meteorological stations under study. The study of the data of all stations indicated that the highest frequency of dusty days was related to the Omidieh station with 125 days, then Dezful with 84.8 days and the lowest frequency was related to the Behbahan station with 22 days. The criteria studied in the dust phenomenon and the ranking of the methods for preventing its effects in Khuzestan, are diverse and complicated. Effective criteria in the ranking of the methods for preventing the effects of dust phenomenon are individual factors, extraterritorial factors and State factors that, each one of the main criteria has sub-criteria. In order to rank the methods of preventing the effects of dust phenomenon in Khuzestan province, observing the hygiene of houses and residential areas, keeping to personal hygiene (using masks and washing the mouth and nose), forming joint regional working groups (countries affected by dust), utilizing international facilities, adhering to regional and international commitments, Soil conservation programs, conservation and revival of wetlands and water resources, mulching, constructing windbreaks, sprinkling pebble, growing vegetation, providing medical equipment and informing people about the dangers of dust were selected, and using the Analytical Hierarchy Process ( AHP) model and Expert Choice software were evaluated.
Conclusions
The results of the calculations obtained from the application of Expert Choice software show that among the criteria studied, the State factors are the most influential index in ranking the methods of preventing the effects of dust phenomenon in Khuzestan, among other criteria. Considering the analysis of the sensitivity based on efficiency, the State factors criterion is more important than other criteria. In the analysis of sensitivity, individual factors, extraterritorial factors and State factors account for 29.7%, 16.3% and 54% of the total weight, respectively. Among the sub-criteria of individual factors, personal hygiene (using masks and washing the mouth and nose) with a weight of 0.750, accounts for the highest weight in ranking the methods of preventing the effects of dust phenomenon. Observing hygiene in houses and residential areas is at the next priority with a weight of 0.250. Among the sub-criteria of the extraterritorial factors, the formation of regional joint working groups of regional (countries affected by dust) with a weight of 0.540, adherence to the regional obligations has the highest role in the ranking of the methods of preventing the effects of dust phenomenon. The international sub-criterion with a weight of 0.297 and utilizing international facilities within the weight range of 0.163, have the subsequent priorities in the ranking of the methods of preventing the effects of dust phenomenon. Among the sub-criteria of the State factors, informing people about the dangers of dust with the weight of 0.263, soil conservation programs within the weight range of 0.155, providing medical equipment with the weight of 0.147, Conservation and revival of wetlands and water resources with the weight of 0.127 and creation of vegetation with the weight of 0.124 have the highest role in the methods of preventing the effects of dust phenomenon, respectively.
Mohsen Pour Khosravani; S. Elham Mousavi
Abstract
Extended Abstract Introduction Natural conditions and physical limitations determine the suitability of an area for the development of the city. Therefore, ignoring the effects of these factors and conditions such as the position of the floodplain, steep, existence of bedrock ... on the development can ...
Read More
Extended Abstract Introduction Natural conditions and physical limitations determine the suitability of an area for the development of the city. Therefore, ignoring the effects of these factors and conditions such as the position of the floodplain, steep, existence of bedrock ... on the development can cause serious and complex problems (sarvar, et al., 2014, 96). Urban development is the harmonious and balanced expansion of the surface assigned to the residential buildings in a city, with the surfaces required by other applications at a standard level (ghrekhloo et al, 2011). In many sources, the physical expansion of cities is defined as a dynamic and continuous process in which the physical limits of the city and its physical spaces increase in vertical and horizontal directions in terms of quantity and quality (Pour Ahmad et al, 2014). High population growth and migration caused unplanned constructions and unrestrained expansion of cities and has created a lot of changes in their spatial constructions. The lack of knowledge and awareness of these limitations and the lack of preserving their limits led to the development of the city towards these obstacles and ultimately, urban areas will face serious problems. Therefore, the balanced development of cities requires planning principles. Accordingly, this research tries to determine the optimal areas for the physical development of the Dalaky and Vahdatiyeh towns, while considering the variables affecting the location of these two towns with the help of the Geographic information system (GIS) and mathematical methods of MCDM. Research Methodology The research method in this study is descriptive-analytical, based on practical type. In this research, the required information was collected using field and library methods and then, the subject under study was investigated using Excel, AutoCad, ARC GiS and GOOGLE Earth software and SAW, Dematel and AHP methods in two stages. At the first stage, geomorphological maps were prepared as the base maps using 1: 100000 geological and 1: 50000 topographic maps -K753 series, pages 6148 IV and 6248 I, digital elevation model (DEM) and satellite imagery. Then, at the second stage, the AHP method was used to weight the sub-criteria and the SAW, DEMATEL and AHP methods were used to weight the main criteria of the research and ultimately the final map was prepared. In general, AHP helps decision-makers to choose the best option by comparing criteria and sub criteria. In this way, decision-makers compare criteria and sub-criteria in pairs, and there is no need to consider all criteria at one stage. Results and discussion The variables and indices in this study are 5 criteria: slope, mother materials, geoform, land surfaces and climatic elements; and 6 sub-criteria: distance from human elements, distance from runoff, distance from the tectonic structure, temperature, precipitation, wind speed; and 10 indices: distance to urban settlements, distance from the road, distance from groves, distance from agricultural lands, distance from the alluvial fans, distance from the river, distance to Galli, distance from alluvial terraces and distance to reverse and strike-slip faults. After evaluating these indices, AHP, Dematel and SAW techniques were used to analyze them. Conclusion Urban physical development is one of the main issues of urban growth, and if the physical development is not a desirable location in cities, there will be many negative impacts both from natural and human aspects on the cities. Unauthorized growth of urban areas and the development of these areas in the natural environment regardless of natural hazards, recognizing regional geomorphic conditions, environmental hazards, and urban planning are necessary to determine the safe and sustainable environment for the expansion of cities. In this research, the geomorphological and environmental hazards in the study area have been investigated using the Saw, Dematel and AHP models; the opportunities and constraints have been expanded in different directions of the Dalaki and Vahdatiyeh cities, and finally the best direction for the expansion of these cities in the future was determined. Although both the DEMATEL and AHP model compare each parameter to other parameters, but, because the AHP model compares the weight of the classes of each criterion based on the preference of one class to all classes of that criterion, it provides better results. The results show that the SAW method also suggests some results by direct determination of the weights. Therefore, with regard to the contradiction of the final results of parameter weighting, the weights have been integrated in this research using the average rating method. Accordingly, the mother material parameter with an average rating of 1.33 is the most preferred parameter, and the slope and land surface parameters with an average rating of 3.67, have the least preference in weighting factors. According to these surveys, the lands of the south-east, north, north-east and the eastern slopes are the most suitable directions for the physical development of two towns of Dalaki and Vahdatyeh.
Saeed salmani; Hamid Ebrahimy; Keyvan Mohammadzade; Khalil Valizadeh Kamran
Abstract
Extended Abstract Introduction With the advent of remote sensing technology, huge volume of remotely sensed data is now availablein different areas. As the fastest and the most cost-efficient method, satellite data is available for both researchers and responsible authorities seeking to produce land ...
Read More
Extended Abstract Introduction With the advent of remote sensing technology, huge volume of remotely sensed data is now availablein different areas. As the fastest and the most cost-efficient method, satellite data is available for both researchers and responsible authorities seeking to produce land use (LU) maps. Compared to traditional methods, object based image analysis (OBIA) techniques use more comprehensive datasets,including geometric information (shape and placement of phenomena), digital elevation models, andvarious spectralindicesfor LU classification.Therefore, different OBIA methods have been widely used forclassification of satellite imageriesin different regions. Despite large amount of researches performed in this area, little attention has been paid to the systematic comparison ofdifferent object-based methods. Therefore, examining different techniques used for object-based processing of satellite imageries in diffrent situations can be considered as an appropriate research field for researchers. The present studyexamines some powerful OBIA classification techniques such as threshold, nearest neighbor algorithm and fuzzy object based classification to determine the most suitable OBIA algorithm for classification of Ikonos satellite images. Materials & methods An Ikonos satellite imagery was used in this studywhich included red, green, blue and near-infrared bandswith spatial resolution of 4 m and a1 m resolutionpanchromatic band.Object based classification can be implemented in three general phases: segmentation, classification, and accuracy assessment.The present study has appliedmulti-resolution segmentation method in the segmentation phase. Three techniques ofthreshold, nearest neighbor algorithm and fuzzy based OBIA were also used for classification. Results &discussion The present study takes advantage of various features to extract land use classesfrom Ikonos satellite imageswith high level of accuracy.Textual information (Grey Level Co-occurrenceMatrix), mean of the imagery’s spectral bands, geometry (shape, density and asymmetry), and normalized difference vegetation index (NDVI)were among these features.Compared to threshold method,nearest neighbor algorithm withoverall accuracy of 92% and kappacoefficient of 0.9hada higher level of accuracy.Also, FOS algorithm was used to optimize the nearest neighbor technique. This algorithm optimizes intervals between the training samples using secondary information provided by the user.The eighteenth dimension, which contains the mean of spectral bands3 and 4, vegetation index, brightness, length to width ratio, indices of shape, compactness, asymmetry, texture information (homogeneityand contrast), were determined by FOS algorithmas the best dimension for extracting each LU classes. Finally,featuresproposed by FOS algorithm were used for image classification in nearest neighbor method.This optimizing process is considered to be one of the main reasons for superior performance ofnearest neighbor technique compared to threshold method. Conclusion In this research, three OBIA methods including threshold technique, nearest neighbor algorithm and fuzzy based OBIA algorithm were compared based on their capability in producing land use map from Ikonos satellite image. Identical ground control pointsof the study areawere used to classify and compare the results of these three OBIA classification methods.Finally, the best classification algorithmwas determinedbased on thevalues of accuracy assessment metrics including overall accuracy and kappa coefficient. Results indicate thatwith overall accuracy of 97%, and kappa coefficient of 0.95, fuzzy based OBIA classification algorithm has thehighest accuracy as compared to nearest neighbor algorithm and threshold method. Generally, the accuracy of fuzzy based OBIA classification method largely depends on the selection of appropriateclassification parameters and suitablealgorithm to obtain membership degrees.Investigating membership degree of effective parameters in the classification and using parameters with maximum degree of membership are considered to be two main reasons for achieving this high accuracy. Results of the present study indicate that fuzzy based OBIA techniqueis the best algorithm for classification ofIKONOS satellite images in the study area, andareas with similar conditions. This findingcanguide researchers and organizations producingLU map from IKONOS satellite imagery. Finally, investigating different techniques using satellite imageries (imageries with different spatial resolution, and received from areas with different land uses) is considered to be an appropriate area of study for OBIA researches.
Kaveh Jafarzadeh; GholamReza Sabzghabaei; Shahram Yousefi Khangah; satar soltanian
Abstract
Extended abstract
Introduction
City has long been regarded as one of the human achievements by civilizations. Urban structure is part of the basic and mainconcepts of urban engineering knowledge and, in fact, is the foundation of its formation, and it is of great importance that some urban planners ...
Read More
Extended abstract
Introduction
City has long been regarded as one of the human achievements by civilizations. Urban structure is part of the basic and mainconcepts of urban engineering knowledge and, in fact, is the foundation of its formation, and it is of great importance that some urban planners in developed countries regard it as equal to the spatial planning of the city. Today, lots of driving forces exert pressure on the environment. Change in land use and land cover is one of the pressures caused by driving factors such as population and its increase. The destruction of urban landscape, and change in land use and land cover are cases that constantly pressure the environmentof the country. Land use change is a complex and dynamic process thatinterconnect natural and human systems, therefore it directly relatesto many environmental issues that are globally significant. So, it can be stated that changes in urban structure has always been one of the most important factors, by whichmanhas influenced his environment. Given the role of environment in human life, precise information about the environmental change and the process of their changes should be achieved,which, can determine the extent of the expansion and destruction of resources, and guide these changes in appropriate courses by predicting urban structure changes.
Materials and Methods
In this research, an eight-year period ofthe Google Earth images from Digital Globe, Astrium satellites for the years 2007-2015 was used to model the changes of the urban structure in the study area. These images were then digitized to identify the desired uses. The required preprocessing was carried out by implementing the rules of topology, and the map of user changes for the two periods of 2007 and 2015 was prepared by inserting the images into the ENVE software, and land use was located in 12 educational, religious, park and green spaces, Residential, agricultural, gardens, industrial, sports, tree cover, wasteland and industrial land classes.Then, the transfer force modeling was carried out using the Perceptron of Multi-layer Artificial Neural Networks and 11 variables that include slope, direction, elevation, distance from residential areas, distance from agricultural lands, distance from the gardens, distance from the water zone, distance from the tree cover, distance from barren lands and distance from the road. Then, theassignment of changes to each use was calculated using the Markov Chain, and the modeling for the year 1402 was carried out using the hard prediction and calibration periodmodelofthe years1386to1394.At the end, the urban structureof 1402 was predicted using the Calibration period of 1386 to 1394.
Results and discussion
The results of monitoring the changes showed that agricultural uses (437) and tree cover (9) have decreased, while other uses have increased during two study periods. The reasons for these changes can be largely due to the increase in population and the increase in the needs of the population along with the agricultural not being cost effective, and the roads, wastelands, gardens, educational, religious, water zones, parks and green spaces, industrial, sports and residential uses have had an increasing trend. The results of modeling the transition forceusing artificial neural network showed high accuracy in most of the sub-models. The total error in modeling was obtained for the year 1394, which illustrates the high adaptability of the projected image of the model with the image of the ground reality and the acceptability of the model.The results of modeling for the year 1402 indicatea very high increase in the use of residential (195 hectares) and garden (104 hectares), and a significant reduction of 33 hectares in agricultural use.
Conclusion
In general, it can be stated that the trend of Changes in the urban structure ofGhaemshahr, especially in agricultural and residential sectors is enormous, which leads to the degradation and destruction of the natural environment and the fragmentation of communication corridors that guarantee the balance and sustainability of wild life and the environment. All of these factors are due tothe poor urban and environmental management, including control, supervision and monitoring and the lack of proper planning. The findings of this research call for the necessity of more attention to the sustainable exploitation of the land and preventing its destruction in this city. The results obtained from the prediction of the future also indicate the reliability and validity of the model that is fully consistent with the reality and can be used as an executive model in the future vision planningfor the city ofQaemshahr, and it is possible to prevent damages to the city and its nature through proper urban planning and decision-making of managers.
Faramarz Khoshakhlagh; Nemat Ahmadi; Mostafa Karimi
Abstract
Introduction The notion of climate change indicates a significant change in climate and environmental conditions over a long period of time (from a few decades to centuries). These changes can occur in mean radiation, temperature, precipitation, atmospheric patterns, wind, and other climate parameters. ...
Read More
Introduction The notion of climate change indicates a significant change in climate and environmental conditions over a long period of time (from a few decades to centuries). These changes can occur in mean radiation, temperature, precipitation, atmospheric patterns, wind, and other climate parameters. Increased global average temperature and occurrence of climate extremes such as floods, storms, hails, tropical storms, heat waves, sea level rise and melting of polar ice caps are the most important effect of climate change. The present study sought to analyze the effect of climate change and global warming on temperature trends in Iran atmospheric levels. One advantage of the present study is that it investigates temperature changes at sea surface and other atmospheric levels, whereas many recent researches just emphasize on sea level. Materials and methods The present study used data received from the European Center for Medium-range Weather Forecast (ECMWF) for a period of 60 years, from 1951 to 2010, with a network resolution of 1 × 1° Latitude and Longitude for sea level data (Slp) and 850, 700 and 500 hPa levels. After converting extracted data using statistical extension of Net-cdf for excel 2007, the temperature trend for sea levels of 850, 700 and 500 hPa were calculated. The correlation between temperature and its anomalies was measured using elevation levels of 850, 700 and 500 hPa and the temperature anomaly maps and synoptic pattern were developed on a regional scale, and finally their relationship with temperature trends were analyzed and interpreted. Results and Discussion Iran had an average temperature of 18.06 °C during the 60 year period (1951 to 2010). 1999, with an average temperature of 20 C°, was the hottest year during this time. From 1993 onwards (except for 1997 and 2007), the average temperature was more than the 60-year average (18.06 C°). By comparing 30-year periods (from 1951 to 1980 and from 1981 to 2010) with each other, we observed that sea level temperature increase in the second 30-year period was more than the first period temperature increase at other atmospheric levels. This increase is most possibly due to the effects of global warming. Temperature increase in the first and second periods were 0.24 and 0.63 °C, respectively. Because of closeness to sea level and under the influence of surface conditions, 850 hPa level shows maximum temperature increase compared to other atmospheric levels (after sea level). Also due to the impact of sea level during the first and second periods, this factor is highly correlated with the sea level atmospheric condition. Despite the fact that correlation values of 850, 700 and 500 hPa levels were significant in both first and second periods at 1% level, they have increased in second period at all atmospheric levels. In other words, there is a clear increasing trend in the second period and few decreasing changes are observed. Regarding the patterns observed at sea level in the second period, two low-pressure closed cell trough which had been observed in the first period in India and Pakistan, merged in the second period. At 850 hPa, the subtropical high pressure located over Atlantic in the first period moved to East Africa in the second period and created a closed high pressure subtropical cell over Libya with an elevation of 1500 hPa. Compared to the first period, this high pressure cell has a higher altitude. At 700 hPa level, STHP ridge extended significantly in the second period, and in this period, central regions of Iran exhibit wide ranges of air sinking with a deep layer of warm air. Conclusion Over the 60 year-period, temperature of atmospheric levels in Iran have exhibited an increasing trend, which from 1993 onwards had a much steeper slope of increase. Compared to the first period (with almost normal periods of increasing and decreasing, and a slightly fluctuating rhythm), the second thirty-year period is expected to exhibit a constant and continuous increase. Additionally, warmer SLP at sea level and 850 hPa level, the northward expansion of the Hadley cell, and finally more intense subsidence of STHP toward lower atmospheric levels (above sea level and 850 hPa) exacerbate the effects of global warming on Iran atmosphere.
Shirin Mohammahkhan; Hamid Ganjaeian; Laila Garosi; Zahra Zanganetabar
Abstract
Extended Abstract
Introduction
The land subsidence is the descending or collapse of the land under the influence of natural and human factors. The land subsidence is one of the issues that are being exacerbated by human factors, including excessive exploitation of groundwater. Subsidence can affect ...
Read More
Extended Abstract
Introduction
The land subsidence is the descending or collapse of the land under the influence of natural and human factors. The land subsidence is one of the issues that are being exacerbated by human factors, including excessive exploitation of groundwater. Subsidence can affect many constructions and facilities, causing problems for the industry, the environment, etc. This phenomenon is one of the most important environmental hazards that have been less considered than other natural phenomena due to the low human losses. The Qorveh plain is considered as one of the plains which have been introduced as a forbidden plain in the province of Kurdistan in recent years due to the over-exploitation of groundwater. Considering the amount of groundwater level drop and its direct impact on the subsidence level of the region, the present study evaluates the subsidence rate of the Qorveh plain during the period of 2017.12.19 to 2016.01.11. In this research, in order to evaluate the status of the groundwater drop, the statistical data from the Regional Water Organization of Kurdistan province has been used, and the Sentinel-1 images and the SBAS method were used (due to the unique capabilities of this method in terms of dimension, cost, time and accuracy compared to other remote sensing techniques) to estimate the subsidence rate of the region.
Material and Methods
In this research, first, the status of the groundwater of the Qorveh plain and the drop rate of its level has been investigated. Then, the subsidence rate of the area and its relation with the groundwater drop has been investigated. Radar interferometry and SBAS were used to evaluate the subsidence of the study area. Radar interferometry method is one of the most powerful tools for monitoring the subsidence phenomenon. By comparing the phases of two radar images taken from a region at two different times, this method can determine the land surface changes at that time interval. The phase taken from a feature on the land surface is proportional to its distance to the radar sensor. Therefore, making any changes in this distance affects the measured phase. In this research, the Sentinel-1 images (2017.12.19 and 2016.01.11) have been used to perform the radar interferometry.
Discussion and results
The hydrograph of the alluvial aquifer of the Qorveh plain has been provided for the water years of 1966-1676 to 2010-2011. During the 24 yeas, the groundwater level fluctuations in this plain are -13.29 meters, with an annual average of -0.55 meters. The least rate of dropping in the wells is in the wells located south of the Qorveh plain, and the rate increases toward the eastern and northeastern parts. In this research, the subsidence rate of the Qorveh Plain was estimated from 2017.12.19 to 2016.01.11 using the SBAS method. The final map indicates that during this period, the study area subsided between +61 and 216 cm, with the lowest subsidence occurring in the southern areas of the Qorveh plain, which corresponding to the sedimentary heights and slopes of Badr and Parishan and the rate has increased toward the east and west of the Qorveh plain.
Conclusion
The results of this study indicate that Qorveh Plain has witnessed a sharp drop in groundwater level over the recent years. Considering that the southern parts of the Qorveh plain corresponds to the heights and slopes of Badr and Parishan, and the rate of exploiting groundwater in these parts is lower, the rate of subsidence is less. The plain has also subsided further towards theeastern, western and northern parts and the outlet of the Shoor River, due to the growing increase of exploitation. The results indicate that the rate of subsidence is consistent with the rate of groundwater drop so that in the southern part which corresponds to the Badr and Parishan slopes, the rate was less than 10 millimeters during the period of 2017.12.19 to 2016.01.11. The results of the SBAS method indicate that the study area had subsidence of 216 mm during the 2 years and also a 61 mm uplift. Based on the final result, the highest rate of subsidence was related to the eastern and western parts of Qorveh plain and on the outskirts of the city of Dezaj and the villages of Ghasem-Abad, Shokuh-Abad, Avangan, Ganji, and others. A series of the aforementioned factors suggests that the Qorveh plain subsides about 20 centimeters per year. This is due to the over-exploitation of the groundwater. Unlike some areas where the displacement (subsidence and uplift) is due to the tectonic conditions, the results of this study have shown that in the Qorveh plain, the subsidence has a direct relationship to the drop of the groundwater. Therefore, it is necessary to monitor the use of groundwater, especially in the agricultural sector, and the rate of the exploitation should be proportional to the amount of recharge because in addition to the water shortage problems, the continuous use of the groundwater can lead to the irreversible risks of subsidence.
Geographic Data
Atikeh Afzali; Masoud Moghnee Tabari
Abstract
Extended Abstract IntroductionIncreasing population and urban development, increasing use of cars, increasing the number of private cars, Also the narrow width of the streets and the lack of supply of marginal park space, especially in the central parts, have caused many problems for large and densely ...
Read More
Extended Abstract IntroductionIncreasing population and urban development, increasing use of cars, increasing the number of private cars, Also the narrow width of the streets and the lack of supply of marginal park space, especially in the central parts, have caused many problems for large and densely populated cities. Parking lots as one of the most important urban infrastructures play a major role in reducing these problems. Today, in large cities, with the correct location of public parking lots, optimally manage of urban traffic is possible by increasing the provision of services to a large number of vehicles. Materials and MethodsIn this research, first, effective criteria were extracted according to the opinion of Babol Municipality experts. The information layers of each criterion were prepared in the GIS environment and to equalize the layers, each criterion was classified, Then, the identified criteria were weighted using ANP technique and with the help of Super Decision software, and then pairwise comparisons were done. Weighted layers were combined by ANP method, were placed on top of each other in the GIS environment based on the influence of each layer (relative weight) and the map of the optimal areas for the construction of public parking lots was obtained. Results and DiscussionIn this research, the inconsistency coefficient obtained was 0.07. Criteria prioritization showed that, "Distance from the road", "Distance from offices use" and "Distance from business use" criteria with a significance coefficient of 0.25, 0.24 and 0.15 respectively had the highest weights. Arc GIS software was used to prepare the final maps. Finally, suitable places for creating public parking lots were determined by applying the final weight of the criteria and overlapping the layers. According to the final location map, areas with very high potential, areas with high capability and areas with medium capability each have 3.11, 55.75 and 36.56 percent of urban lands, respectively. Areas with very high and high potential are mostly located in the northwestern, northeastern, southwestern and central parts of the city. ConclusionThe results indicate that the spatial distribution of existing parking lots in the city is not related to the effective criteria in these parking lots. According to the residential use map and population density and due to the epidemic of private car use, there is no match between the number of parking spaces in the city and their spatial distribution and population density. The result of urban parking location zoning using the ANP model and comparing it with existing parking lots in the city shows that The class of areas with high capacity for parking lots is located in parts of the city where there are no parking areas and there is an urgent need to create these types of users. This factor indicates that the location of existing parking lots in Babol city has been done without considering effective factors and criteria. All parking lots are located in one part of the city and at a close distance from each other. There is a need to create many public parking lots in other parts of the city, according to the urban population, until the per capita is closer to the reality. Considering the population of Babol city, which is 250,217 people, and the number of public parking lots, which is 6, this amount per capita is very low.
Esmaeil Nasiri
Volume 11, Issue 44 , February 2002, , Pages 57-60
Abstract
Urbanization is the art of living together, hence the city is the place of clever and thoughtful crystallization of this art; in other words, city is a place in which a number of people with different thoughts, beliefs and ideas are gathered together, united by common dreams, desires and views. The healthy ...
Read More
Urbanization is the art of living together, hence the city is the place of clever and thoughtful crystallization of this art; in other words, city is a place in which a number of people with different thoughts, beliefs and ideas are gathered together, united by common dreams, desires and views. The healthy city is a topic that has been raised by many officials and experts in relevant fields including geography and urban planning over recent decades following the city's rapid growth and urbanization and lack of proper planning that would suit the needs of urban communities. Its facilities are supposed to be in line with the citizens' biological needs and based on mutual respect for citizenship rights and emphasis on sustainable urban development.
Mas'oud Mo'ayyeri
Volume 13, Issue 51 , November 2004, , Pages 58-61
Abstract
In geographic studies, soil is not the focus of attention only as a natural resource, but more of a crucial asset which is exposed to a fatal threat called erosion, and thus needs to be examined, protected and maintained. From the point of view of geomorphology, the concept of erosion is on the one hand ...
Read More
In geographic studies, soil is not the focus of attention only as a natural resource, but more of a crucial asset which is exposed to a fatal threat called erosion, and thus needs to be examined, protected and maintained. From the point of view of geomorphology, the concept of erosion is on the one hand connected with the processes affecting the face of the earth and, and on the other, with factors that act against soil conservation. It is clear that the level and type of erosion of soil varies from place to place, and awareness of these quantities can be greatly useful in planning.The concept of erosion is a very broad and deep topic in geomorphology that can be considered from different perspectives.The geographic concept of erosion is not the same as its concept as considered in geology, physics or soil science. The term erosion is derived from the verb “to erode”, and is referred to as the set of processes in which the external surface of the earth's crust loses its stability and is displaced. This concept involves the processes of degradation, dissolution, carriage and sedimentation. According to studies conducted in Iran, an average of 1,500 tons of soil is washed out by water erosion per year. This means that every year, one millimeter of soil thickness in the country is lost (Karami, 1993, thesis) Considering the position and characteristics of Najaf Abad Plain watershed system, it seems that the energy generated by collision of rain drops to the surface of the earth and the resulting runoff is the most important erosive force in the watershed system, which, in interaction with erodible factors, determines the rate of soil erosion. Therefore, in this paper, in order to assess the erosion dangers and estimate its quantity and level, the application of the SLEMSA model has been emphasized, because in this model, utilization of curvature correlations and consideration of the interactions of the factors involved in erosion are given the priority.
Mahbubeh Khosravinejad; Seyyed Eskandar Seydaei; Hosseyn Serami
Volume 21, SEPEHR , February 2013, , Pages 66-69
Abstract
In developed societies, a major proportion of the population live in cities and they are immersed in urban life style. Thus, village and rural life is a strange and yet interesting concept for the urban population. This is the main stimulus for changing villages into a tourism attraction. Rural tourism ...
Read More
In developed societies, a major proportion of the population live in cities and they are immersed in urban life style. Thus, village and rural life is a strange and yet interesting concept for the urban population. This is the main stimulus for changing villages into a tourism attraction. Rural tourism is one of the influential factors in the relation between city and village which will have some consequences. Thus, investigating tourism in holiday homes and the mutual relation between city and village is of a significant applied importance.
Shahriar Khaledi; Mahdi Feizollah Poor; Sayyad Asghari
Volume 20, Issue 78 , August 2011, , Pages 70-74
Abstract
Frequency analysis of events is a set of methods that, using probability rules, investigate the probability of a phenomenon’s repeat over time. The purpose of these analyses is to obtain the period of return of measured events and to estimate the value of an event for a specified return period, ...
Read More
Frequency analysis of events is a set of methods that, using probability rules, investigate the probability of a phenomenon’s repeat over time. The purpose of these analyses is to obtain the period of return of measured events and to estimate the value of an event for a specified return period, which is outside of the scope of registered events and is used to design the projects. Gombel (1) and Log Pearson (3) methods are among these analyses. In this paper, using these two methods, we investigate the probability of occurrence of minimum of volume flux and maximum of daily rainfall in the Kamal Chai Basin in the south of the city of Sabalan. In addition, the Maxus formula (3) has been used to secure data adequacy. According to these surveys, the precipitation less than 44 mm in 24 hours is of a probability of 96%. And likewise, the volume flux will be higher than 1.12 cubic meters per second by 95%.
Mehran Maghsudi; Hamid Bidi
Volume 16, Issue 62 , August 2007, , Pages 77-79
Abstract
India has a vast coastal area of about 7,500 km long with a vast store of sandy minerals such as ilmenite, rutile, zircon, monazite, silimanite and garnet. The purpose of this study is to provide map of coastal land forms using multi-spectral remote sensing in order to be able to identify areas ...
Read More
India has a vast coastal area of about 7,500 km long with a vast store of sandy minerals such as ilmenite, rutile, zircon, monazite, silimanite and garnet. The purpose of this study is to provide map of coastal land forms using multi-spectral remote sensing in order to be able to identify areas suitable for land surveys carried out with the aim of discovering alluvial minerals.
Generally, surface substances are the result of the interaction of three different variables:
1. The nature of sub-surface rocks;
2. The internal movements of the Earth, called tectonic regimes;
3. Active external processes, mainly controlled by the factor of climate.
Therefore, an accurate geomorphological study of formation of alluvial minerals in all scales seems necessary. (Rajamanickam, 1997/ Sutherland et al., 1985) Coastal areas have special advantages for the exploration of coastal alluvial minerals.
India has a vast coastal area of about 7,500 km long with a vast store of sandy minerals such as ilmenite, rutile, zircon, monazite, silimanite and garnet. Most of these sediments, with the exception of some alluvial deposits on land and sands, are mainly located in the coastal strip of the Indian subcontinent. The Tamil Nadu coastline is about 975 kilometers, 915 kilometers of which are on the east coast and 60 kilometers off the west coast of India. Detailed (60 km) and preliminary (519 km) surveys were carried out on 579 km of coastal length. However, 396 kilometers still have to be surveyed.
Investigations on sediments containing heavy minerals in the hills and sandy beaches by close grid sample on 508 kilometers of coastal length indicate high concentrations of heavy minerals from surface to depths of several meters. (Mohanand Rajamanickam, 2000)
Seyyed Kazem Alavi Panah
Volume 18, Issue 72 , February 2010, , Pages 80-80
Rahim Sarvari; Sharareh Nourani
Volume 21, Issue 81 , April 2012, , Pages 86-90
Ali Jozi Khamselooei; Hoda Javaheran
Volume 22, Issue 87 , November 2013, , Pages 87-92
Abstract
The nature and essence of cities are intermingled with different issues such as political, economic, cultural, physical, juridical and environmental subjects. Therefore, “urban security” is a hybrid and complex concept. Because, city is influenced by many national and global units. Thus, ...
Read More
The nature and essence of cities are intermingled with different issues such as political, economic, cultural, physical, juridical and environmental subjects. Therefore, “urban security” is a hybrid and complex concept. Because, city is influenced by many national and global units. Thus, designing a defensible urban space is one of the most important topics in securing metropolises. These spaces may include designing secure residential spaces, integrating public spaces with different land uses (commercial centers, governmental offices and other important organizations), controlling population density in important urban areas in different time periods and improving transportation systems and crisis management. With access to comprehensive information and general data, we can prepare a map of urban crisis and improve urban security and safety by implementation of optimal solutions. The pattern of spatial changes in cities and the framework of urban land use are among the most important issues in urban security and safety which indicate the importance of passive defense planning. Urban spatial planning is among the most important leverages which shows the vulnerability of different urban areas in the case of natural and human crisis in different time and locations. Urban security and safety depends on very complex patterns of density related causes and multiple effects. The complexity of these patterns suggests that providing simple commentaries and describing specific causes have a limited value in optimizing urban security and safety. The present article seeks to evaluate the role of passive defense in providing and optimizing security of metropolises, and suggests fundamental strategies for decreasing secondary crisis (after the occurrence of primary crisis such as flood, earthquake, fire and urban chaos. It seems that the passive defense approach is a new strategic view in establishing the security of metropolises and building a healthy and secure city.
Mohammad Ra'uf Heydarifar; Hamid Reza Jalilian
Volume 20, Issue 80 , February 2012, , Pages 88-96
Abstract
The border is the main factor in defining the country and is one of the cornerstones of the science of political geography, but following many discussions about open borders in the European Union, today we witness border elimination issues within the framework of country elimination. Though globalists ...
Read More
The border is the main factor in defining the country and is one of the cornerstones of the science of political geography, but following many discussions about open borders in the European Union, today we witness border elimination issues within the framework of country elimination. Though globalists - which form a wide range - herald the existence of a steady process of border elimination in the future, but we can simultaneously witness the strengthening of the borders in some parts of the world. In this regard, this article describes the reconciliation and geo-economic and geopolitical linkages on the northern borders of the United States with regard to the process of globalization based on a neorealist approach. This means that, with economic liberalization within NAFTA, security needs to address the various threats at the border have become more and more important. The satisfactory solution to this has been a technological one that has brought the geo-nuclear and geopolitical linkage and reconciliation along the border.
Rasul Rabbani; Alireza Ghaffari
Volume 20, Issue 79 , November 2011, , Pages 88-93
Abstract
The Persian Gulf is an area in the Middle East that is geopolitically important and attracted by world powers due to its unique features throughout history. In this article, the author seeks to investigate the explanation of the conditions, characteristics, issues and problems of the Gulf states as well ...
Read More
The Persian Gulf is an area in the Middle East that is geopolitically important and attracted by world powers due to its unique features throughout history. In this article, the author seeks to investigate the explanation of the conditions, characteristics, issues and problems of the Gulf states as well as the causes of failure in the Persian Gulf states to establish a relationship between them at high levelsو and tries to provide an appropriate solution to prevent possible crises. This region has always been paid great attention by international powers due to the availability of special oil reserves and a special strategic location, due to which the powers in adopting their foreign policy inevitably have to take into account the effective components of the countries of the region and its potential conditions.
Accordingly, one of the issues that is important and somehow plays a key role in determining the foreign policy of the countries of the region is the Crisis. For this purpose, one of the issues that needs to be addressed in this regard, is to provide appropriate strategies and to adopt an active strategy to manage and overcome existing crises (Management Crisis) with regard to the need to create, maintain and consolidate the mutual or multilateral regional relations and the necessity of determining the strategy for political, economic and cultural cohesion of the neighboring countries in order to fulfil the security of the Persian Gulf region.
