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• W2890947256 abstract "The present study focuses on future scenarios of land-use suitability zone (LSZ) mapping based on the analytic hierarchy process (AHP) for agricultural sustainability. Proposed case study area is Dwarakeswar - Gandheswari river basin, India. Future estimation of LULC and climate scenarios has been performed. Dynamic Conversion of Land-Use and its Effects (Dyna-CLUE) model and Statistical DownScaling Model (SDSM) are used for this analysis. CLUE model performs the dynamic simulation of land use conversion based on competition between land uses. Future LULC maps are utilized for LSZs mapping. Future LULC scenarios are developed starting from the year 1990. Various hydro-meteorological and geological parameters (Elevation, slope, rainfall, soil, geology, future LULC, groundwater level, evapotranspiration (ET), soil moisture and NDVI) are considered for LSZs. Overall LULC classification accuracy of 1990, 2000 and 2010 is 94.29%, 95.70% and 95%. The LSZs (poor, moderate, good, very good and unsuitable) are evaluated with four scenarios (for the years 2010, 2030, 2050 and 2080). The results reveal a maximum conversion of cultivated land to urban built-up land. The accuracy of the predictive LULC model is tested using receiver operating characteristic (ROC: Built-up- 0.985) curves. Moreover, the unsuitable zones for agricultural sustainability are on the downstream portion of the river basin. Finally, LSZs are validated by using 20 soil moisture field sample points in the proposed command area. These analyses provide valuable information to land use planners for taking a preliminary decision." @default.
• W2890947256 created "2018-09-27" @default.
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• W2890947256 date "2018-12-01" @default.
• W2890947256 modified "2023-10-11" @default.
• W2890947256 title "Future scenarios of land-use suitability modeling for agricultural sustainability in a river basin" @default.
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• W2890947256 doi "https://doi.org/10.1016/j.jclepro.2018.09.099" @default.
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