Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prioritizing Areas Prone to Critical Soil Erosion by Using Multiple Criteria Decision Analysis and GIS Techniques
In India, due to uneven rainfall distribution and land use changes, soil erosion patterns vary spatially and temporally significantly. Soil erosion refers to the detachment of soil particles on the land surface due to natural geological processes and transport by means of natural geological agents like water, wind, etc. It may accelerate due to poor land management and anthropogenic activities. The eroded soil particles cause sedimentation in reservoirs and reduce the carrying capacity of waterbodies, leading to changes in water quality and alteration of the cross-section of rivers. This study integrates Analytical Hierarchical Process (AHP) and Fuzzy Analytical Hierarchical Process (FAHP) to identify the areas prone to critical soil erosion. The areas prone to soil erosion are identified by integrating drainage density, elevation, ground slope, land use land cover (LULC), rainfall, and soil map. Soil erosion-prone areas obtained using AHP and FAHP are cross-verified by performing river bank shifting analysis using multi-temporal global surface waterbodies data on Google Earth Engine (GEE). River bank shifting analysis calculates the amount of the area (in hectares) prone to soil erosion and deposition at a frequency of every 5 years from 2000–2020, using a Geographic Information System (GIS). This study is aimed to reduce the investments, is weather independent, and prioritizes areas prone to soil erosion temporally and spatially.
Prioritizing Areas Prone to Critical Soil Erosion by Using Multiple Criteria Decision Analysis and GIS Techniques
In India, due to uneven rainfall distribution and land use changes, soil erosion patterns vary spatially and temporally significantly. Soil erosion refers to the detachment of soil particles on the land surface due to natural geological processes and transport by means of natural geological agents like water, wind, etc. It may accelerate due to poor land management and anthropogenic activities. The eroded soil particles cause sedimentation in reservoirs and reduce the carrying capacity of waterbodies, leading to changes in water quality and alteration of the cross-section of rivers. This study integrates Analytical Hierarchical Process (AHP) and Fuzzy Analytical Hierarchical Process (FAHP) to identify the areas prone to critical soil erosion. The areas prone to soil erosion are identified by integrating drainage density, elevation, ground slope, land use land cover (LULC), rainfall, and soil map. Soil erosion-prone areas obtained using AHP and FAHP are cross-verified by performing river bank shifting analysis using multi-temporal global surface waterbodies data on Google Earth Engine (GEE). River bank shifting analysis calculates the amount of the area (in hectares) prone to soil erosion and deposition at a frequency of every 5 years from 2000–2020, using a Geographic Information System (GIS). This study is aimed to reduce the investments, is weather independent, and prioritizes areas prone to soil erosion temporally and spatially.
Prioritizing Areas Prone to Critical Soil Erosion by Using Multiple Criteria Decision Analysis and GIS Techniques
Lecture Notes in Civil Engineering
Dutta, Subashisa (Herausgeber:in) / Chembolu, Vinay (Herausgeber:in) / Prashanth, Thallam (Autor:in) / Ganguly, Sayantan (Autor:in) / Gummadi, Manoj (Autor:in)
International Conference on River Corridor Research and Management ; 2022
18.08.2023
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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