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Watershed prioritization based on soil and water hazard model using remote sensing, geographical information system and multi-criteria decision analysis approach

机译:基于遥感,地理信息系统和多标准决策分析方法的土壤和水灾危害模型的流域优先级

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摘要

This study includes the application of analytical hierarchy process (AHP) based multi-criteria decision analysis (MCDA) for prioritising vulnerable area of watershed for soil and water conservation measures based on impact analysis of different soil and water hazard conservation factors. To prioritise the vulnerable areas, the Bindra watershed which is part of Chhattisgarh State in India has been selected and divided into 16 sub-watersheds. Soil and water hazard rate index (SWHRI) was identified in GIS environment using soil loss (SL), sediment yield (SY), sediment transport index (STI), runoff potential (RP), and land capability class (LCC). Study found that, out of 16 sub-watersheds, 3 sub-watersheds (SW-11, SW-12, and SW-16), and 2 sub-watersheds (SW-1 and SW-4) falling under very high and very low priority zone respectively, therefore soil conservation measures in these areas should be implemented immediately through scientifically developed techniques.
机译:本研究包括基于分析层次过程(AHP)的多标准决策分析(MCDA)在不同土壤和水灾害保护因子的影响分析的基础下,用于水土保持措施优先考虑流域脆弱区域。 为了优先考虑脆弱地区,已选择是印度Chhattisgarh州的一部分的Bindra流域,并分为16个分水岭。 使用土壤损失(SL),沉积物产量(SY),沉积物输送指数(STI),径流潜力(RP)和陆地能力等级(LCC),在GIS环境中鉴定了土壤和水危害率指数(SWHRI)。 研究发现,在16个次流域,3个次流域(SW-11,SW-12和SW-16)中,以及2个次流域(SW-1和SW-4)落下的非常高而非常 低优先级区域,因此应立即通过科学开发的技术立即实施这些地区的土壤保护措施。

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