The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The p...The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The primary goal was to create a more accurate map to estimate vegetation criteria (above ground biomass AGB), soil organic matter, soil texture, and the hydrothermal coefficient using Landsat 8 satellite imagery. The analysis used Landsat 8 imagery from the 2016 summer season with a resolution of 30 meters, time series MODIS vegetation products (MOD13, MOD15, MOD17) averaged over 16 days from June to August 2000-2016, an SRTM DEM with a resolution of 30 meters, and a field survey of measured biomass and soil data. In total, 6 main factors were classified and quality evaluation criteria were developed for 17 criteria, each with 5 levels. In this research the spatial MCDM (multi-criteria decision-making) method and AHP based GIS were applied. This was developed for each criteria layer’s value by multiplying parameters for each factor obtained from the pair comparison matrix by the weight addition, and by the suitable evaluation of several criteria factors affecting cropland. General accuracy was 88%, while PLS and RF regressions were 82.3% and 92.8%, respectively.展开更多
Because the groundwater is considered as the major source of 99%of all retrievable fresh water,optimization of its usage would be very crucial.Groundwater artificial recharge(GAR)using surface water is the recommende...Because the groundwater is considered as the major source of 99%of all retrievable fresh water,optimization of its usage would be very crucial.Groundwater artificial recharge(GAR)using surface water is the recommended solution because that increases the aquifer storage.Detection of aquifer storage site is the first step in designing GAR projects.The main objective of this research is the identification of suitable GAR sites scattered in the Shahrekord plain,Chaharmahal-va-Bakhtiari province of Iran,using Boolean and Fuzzy logic.Data affecting GAR including ground surface slope,soil infiltration rate,vadoze zone thickness,electrical conductivity of the surface water,land-use,and stream network were collected.After provision of digital maps,they were classified,weighted,and integrated through Boolean and Fuzzy operators.The result revealed almost 4.25%of the whole plain area is appropriate for GAR based on Boolean.Also,4.79 and 17.94%of the plain area are suitable and rather favorable,respectively,based on Fuzzy.Finally,34 locations were introduced with priorities A,B,and AB as being potentially suitable for GAR.The relationship between geomorphology and suitable areas for GAR based on Boolean and Fuzzy method indicated that the majority of these areas were located on colluvial fans units.展开更多
文摘The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The primary goal was to create a more accurate map to estimate vegetation criteria (above ground biomass AGB), soil organic matter, soil texture, and the hydrothermal coefficient using Landsat 8 satellite imagery. The analysis used Landsat 8 imagery from the 2016 summer season with a resolution of 30 meters, time series MODIS vegetation products (MOD13, MOD15, MOD17) averaged over 16 days from June to August 2000-2016, an SRTM DEM with a resolution of 30 meters, and a field survey of measured biomass and soil data. In total, 6 main factors were classified and quality evaluation criteria were developed for 17 criteria, each with 5 levels. In this research the spatial MCDM (multi-criteria decision-making) method and AHP based GIS were applied. This was developed for each criteria layer’s value by multiplying parameters for each factor obtained from the pair comparison matrix by the weight addition, and by the suitable evaluation of several criteria factors affecting cropland. General accuracy was 88%, while PLS and RF regressions were 82.3% and 92.8%, respectively.
文摘Because the groundwater is considered as the major source of 99%of all retrievable fresh water,optimization of its usage would be very crucial.Groundwater artificial recharge(GAR)using surface water is the recommended solution because that increases the aquifer storage.Detection of aquifer storage site is the first step in designing GAR projects.The main objective of this research is the identification of suitable GAR sites scattered in the Shahrekord plain,Chaharmahal-va-Bakhtiari province of Iran,using Boolean and Fuzzy logic.Data affecting GAR including ground surface slope,soil infiltration rate,vadoze zone thickness,electrical conductivity of the surface water,land-use,and stream network were collected.After provision of digital maps,they were classified,weighted,and integrated through Boolean and Fuzzy operators.The result revealed almost 4.25%of the whole plain area is appropriate for GAR based on Boolean.Also,4.79 and 17.94%of the plain area are suitable and rather favorable,respectively,based on Fuzzy.Finally,34 locations were introduced with priorities A,B,and AB as being potentially suitable for GAR.The relationship between geomorphology and suitable areas for GAR based on Boolean and Fuzzy method indicated that the majority of these areas were located on colluvial fans units.
