Fatemeh Mohammadyari; Hossein Aghdar; Reza Basiri
Abstract
Abstract[1]
Groundwater is of particular importance in arid and semi-arid areas.In this research, chemical properties of groundwater in arid and semi-arid regions of Mehran and Dehloran were studied using geo-statistical methods.Sodium, chlorine, sulfate, TDS and TH were evaluated variables.The ...
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Abstract[1]
Groundwater is of particular importance in arid and semi-arid areas.In this research, chemical properties of groundwater in arid and semi-arid regions of Mehran and Dehloran were studied using geo-statistical methods.Sodium, chlorine, sulfate, TDS and TH were evaluated variables.The semi-variogram of each parameters were calculated using GS + software and different models were fitted.After the normalization of the data, the variogram was plotted, and the interpolation was carried out by the method ofIDW and kriging in GIS software. The criterion for choosing an appropriate interpolation model was a lowerRMSE and a stronger spatial structure. The results show that the Kriging method is superior to the IDW method.Therefore maps were prepared using this method. The results show a strong correlation of the qualitative data of the region's water and the spatial structure is a Gaussian model function.Finally, by using fuzzy logic and Shouler classification, a zoning map of the area for drinking was prepared.According to the final map, 37% of the area is suitable for drinking, 13% is relatively suitable and 50% is inappropriate.As a result, the water quality of the area studied,is not desirable for drinking. Overlaying of the zoning map and the map resulted from the analysis of the obvious points showed that the points with high concentrations and on the threshold of the alert are placed side by side and in the wrong category of the zoning map.High levels of hardness rate and other elements in parts of the region are increasing.This is due to the substitution of alluvial deposits with Gachsaran Formation.Therefore, the main factor for the reductionof the water’s quality can be Gachsaran formation.
[1] - به دلیل کیفیت نامناسب متن چکیده مبسوط انگلیسیِ ارائه شده توسط نویسنده مسئول مقاله، نشریه به ناچار اقدام به ترجمه مجدد متن چکیده فارسی و انتشار آن به جای چکیده مبسوط انگلیسی نموده است.
Fatemeh Mohammadyari; Hamidreza Pourkhabaz; Morteza Tavakoli; Hossein Aghdar
Abstract
Knowledge of qualitative and quantitative characteristics of changes are extremely important in environmental planning, land use planning and sustainable development. Currently, using vegetation maps is one of the key factors in data production for macro and micro planning. In this research, information ...
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Knowledge of qualitative and quantitative characteristics of changes are extremely important in environmental planning, land use planning and sustainable development. Currently, using vegetation maps is one of the key factors in data production for macro and micro planning. In this research, information of Landsat ETM + and OLI sensors were used to display the temporal and spatial changes of vegetation in Behbahan city in 1999 and 2013 and the value of NDVI index was calculated for two years. In order to evaluate the quality changes of vegetation, the numerical values of the index were classified into 4 classes of different lush green vegetation including land with excellent, very good, good, and poor coverage. Then, the changes were determined using CROSSTAB. The results showed that the qualitative and quantitative changes in vegetation for the study area have been extensive over 14 years, so that, the area of lands with excellent, very good and poor coverage has increased and the area of landswith good coverage, has decreased. The greatest increase in areashas occurred in lands with excellent coverage, so that, it has increased from 5069.76 hectares (ha) in 1999 to 7735.5 ha in 2013. Also, the highestdecrease in areas has occurred in lands with good coverage thathas reached from 34061.4 ha to 27434.43 ha. Finally, the regression equation was obtained to show better relationship between the two parameters of vegetation and temperature. The results confirmed the point that the areas covered with vegetation have lower temperature and vegetation has cooling effects on the surrounding. Therefore, the degradationof the region’s vegetationwill be followed by the warming of the city and many other environmental consequences.
