Hooshmand Ataie; Sadat Hasheminasab; Marzieh Zarean; Reyhaneh Heydari
Volume 23, SEPEHR , July 2014, , Pages 32-40
Abstract
Weather and climate, along with safety level and political-social situation of tourist attractions have the most influential role and contribution in tourist attractions. In this study, physiologic equivalent temperature (PET) was applied and climatic elements like average dry-bulb temperature, relative ...
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Weather and climate, along with safety level and political-social situation of tourist attractions have the most influential role and contribution in tourist attractions. In this study, physiologic equivalent temperature (PET) was applied and climatic elements like average dry-bulb temperature, relative humidity, wind speed, steam pressure and cloudiness (cloud amount) were used in 5 synoptic stations in a 20 year time period (1989-2009). Then, data were transferred to RayMan and results were inferred in the form of daily climatic calendars. The present article seeks to understand climatic-tourist conditions and the influence of each climatic elements on the human physiological structure in each days of a year. Results indicate that cold-stress exist in most days of the year which is the most important climatic limitation in these mentioned stations. Desirable climate covers only a short period of year, so that in Zarine-obato 65 days, in Saqez 46 days, in Bijar 43 days, in Qorve 40 days and finally in Sanandaj 33 days have desirable climate.
Hooshmand Ataei
Volume 22, Issue 87 , November 2013, , Pages 54-58
Abstract
The present article aims to review the overall appearance of Chahar Mahal va Bakhtiyari bio climate and the influence of climatic parameters on human comfort using Terjang method. The aforementioned element is applicable in many different fields, such as urban engineering, medical science, architecture, ...
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The present article aims to review the overall appearance of Chahar Mahal va Bakhtiyari bio climate and the influence of climatic parameters on human comfort using Terjang method. The aforementioned element is applicable in many different fields, such as urban engineering, medical science, architecture, tourism, etc. In order to reach this goal, we prepared bioclimatic zoning maps on a monthly scale using Terjang zoning method and applying parameters of temperature, relative humidity, sunshine and wind hours across 8 synoptic and climatologic stations in a 50 year period (1958-2007). To produce these maps using Terjang method, we applied statistical-graphical software, elevation gradient, and especially buffering soft wares such as Arcgis 9.2, Autocad map. Data analysis in the specified period detected monthly bio climates in Chahar Mahal va Bakhtiyari province. So that in February, just one bio climatic area (k2) is sensible across the province due to external climatic elements’ domination, while in April combined influences of external and local elements creates three bio climatic types (4W, 3M, 2C) and the influence of local elements creates two bio climates in summer (4W, 5H). In December, influential elements change and monthly bio climates return to just one bio climate (2k, very cool with cold nights -2/-3).
Hooshmand Ataei; Afsaneh Analooei
Volume 22, SEPEHR , July 2013, , Pages 49-52
Abstract
Soil erosion and production of sediments are among the most important natural resource problems which depends on climatic situation, soil reliefs and land use. The present study investigates the relation between watershed management activities like banquette and check dam or detention dams with soil ...
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Soil erosion and production of sediments are among the most important natural resource problems which depends on climatic situation, soil reliefs and land use. The present study investigates the relation between watershed management activities like banquette and check dam or detention dams with soil erosion and production of sediments in Manderjan watershed which is located in Sarab, Zayande Rud dam. This watershed covers 230 km2. Precipitation statistics from Chadegan climatology station and Sediment monitoring network in Manderjan during 1978-2002 were used along with land use map and erosion map based on 1979 satellite images. Manderjan watershed is located in West Isfahan province and has cold weather with temperate summers. Its average annual precipitation is evaluated 420 mm. Because of being located between Daran Mountains (Dalankuh) in North and Zagros mountains in west, it has multiple streams and an average slope of 13.3% in north-south direction. Therefore, different watershed management activities (banquette and check dam or detention dams) could have a significant effect on prevention of erosion. Descriptive case study was used along with field study and library investigation.
Houshmand Ata'ii; Sorayya Alijani Alijanvand
Volume 21, Issue 82 , September 2012, , Pages 57-63
Abstract
The present article shortly introduces Bazoft basin (one of Karun subbasins) and discusses different methods of predicting flood discharges, all of which requires specific local data. Due to lack of statistics in most basins and subbasins of the country, the suggested solutions require less ...
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The present article shortly introduces Bazoft basin (one of Karun subbasins) and discusses different methods of predicting flood discharges, all of which requires specific local data. Due to lack of statistics in most basins and subbasins of the country, the suggested solutions require less hydrological statistics. Flood modelling is one of these solutions which requires fixed physiographic data and can be used for estimating and evaluating floods in basins which lack statistics. Bazoft subbasins have the potential to produce flood, while they face lack of statistics in many cases. With physiographic information and digital maps of the area and also with available statistical data in 30 studied basins (figure 3), the possibility of establishing logical relations between physiographic features and flood discharges with different return periods will be investigated. On the other hand, a GIS data bank seems necessary for easy access in later applications and capability of updating information and relations in any of these subbasins. Information on flood discharge (with different return periods), as the most important distinguishing parameter of floods, is especially important. In floods with shorter statistical period, establishing a regional relation between physiographic characteristics of the basin or subbasin seems logical. After completing and prolonging statistics, different statistical distributions will be fitted using SMADA software. Predicted value of statistical distributions (Log Pearson type3, Pearson type3, Gamble) and observational data were used to find the most appropriate distribution in least squares test and a distribution was selected for each station. With these distributions, flood discharges with different return periods of 2 to 1000 years were estimated. Then, physiographic features of the basin (like area, perimeter, and average slope of the basin, length of the main canal and shape coefficient) were linked with predicted discharges of different return periods using linear regression and multi-variable nonlinear regression in Minitab software. A larger number of parameters are involved in flood predicting models used for estimating discharges with short return periods.
Hushmand Ata'ii; Mandana Basaatzadeh Karandi
Volume 17, Issue 66 , August 2008, , Pages 46-51
Abstract
In this paper, while introducing a brief overview of Chaharmahal and Bakhtiari province, the most important zoning method (Terjung) has been discussed using parameters of temperature, relative humidity, sunny and windy hours in 8 synoptic and climatological stations during a statistical period of 40 ...
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In this paper, while introducing a brief overview of Chaharmahal and Bakhtiari province, the most important zoning method (Terjung) has been discussed using parameters of temperature, relative humidity, sunny and windy hours in 8 synoptic and climatological stations during a statistical period of 40 years. Next, bioclimatic zoning maps were prepared on a seasonal scale.
In order to achieve these maps the Terjung method, statistical-graphical software, elevation gradient, and especially the buffering of AutoCAD map and ArcView were used. Data analysis during this period revealed the ecological groups of Chaharmahal and Bakhtiari province. In winter, due to the dominance of external climatic factors, only one bioclimatic region (K2) is discernible throughout the province; in the spring, the combined effect of external and local factors create three bioclimatic types (W2, M3, C2) and in the summer season the effect of local factors create two bioclimatic types (W4, H5). By change in the effective factors in the autumn, the bioclimatic types (C2, C3, K2) are dominant in the Chahar Mahal and Bakhtiari province during this season.
