作者: Satiprasad Sahoo , Indrani Sil , Anirban Dhar , Anupam Debsarkar , Pulakesh Das
DOI: 10.1016/J.JCLEPRO.2018.09.099
关键词: Environmental science 、 Elevation 、 Analytic hierarchy process 、 Downscaling 、 Evapotranspiration 、 Normalized Difference Vegetation Index 、 Land use 、 Drainage basin 、 Water resource management 、 Agricultural land
摘要: Abstract The present study focuses on future scenarios of land-use suitability zone (LSZ) mapping based the analytic hierarchy process (AHP) for agricultural sustainability. Proposed case area is Dwarakeswar - Gandheswari river basin, India. Future estimation LULC and climate has been performed. Dynamic Conversion Land-Use its Effects (Dyna-CLUE) model Statistical DownScaling Model (SDSM) are used this analysis. CLUE performs dynamic simulation land use conversion competition between uses. maps utilized LSZs mapping. developed starting from year 1990. Various hydro-meteorological geological parameters (Elevation, slope, rainfall, soil, geology, LULC, groundwater level, evapotranspiration (ET), soil moisture NDVI) considered LSZs. Overall classification accuracy 1990, 2000 2010 94.29%, 95.70% 95%. (poor, moderate, good, very good unsuitable) evaluated with four (for years 2010, 2030, 2050 2080). results reveal a maximum cultivated to urban built-up land. predictive tested using receiver operating characteristic (ROC: Built-up- 0.985) curves. Moreover, unsuitable zones sustainability downstream portion basin. Finally, validated by 20 field sample points in proposed command area. These analyses provide valuable information planners taking preliminary decision.