Department of Geography, Vidyasagar University, Midnapore, West Bengal, India.
Sci Total Environ. 2020 Sep 10;734:139474. doi: 10.1016/j.scitotenv.2020.139474. Epub 2020 May 16.
Kangsabati basin located in tropical plateau region faces multiple problems of soil erosion susceptibility (SES), soil fertility deterioration, and sedimentation in reservoirs. Hence, identification of SES zones in thirty-eight sub-basins (SB) for basin prioritization is necessary. The present research addressed the issue by using four multi-criteria decision-making (MCDM) models: VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR), technique for order preference by similarity to ideal solution (TOPSIS), simple additive weighing (SAW), compound factor (CF). To determine the best fitted method from MCDM for erosion susceptibility (ES), a comparison has been made with Soil and Water Assessment Tool (SWAT), where fifteen morphometric parameters were considered for MCDM, and meteorological data, soil, slope and land use land cover (LULC) were considered for SWAT model. Two validation indices of percentage change and intensity change were used for evaluation and comparison of MCDM results. With SWAT model performance, SWAT calibration and uncertainty analysis programs (CUP) was used for sensitive analysis of SWAT parameters on flow discharge and sediment load simulation. The results showed that 23, 16, 18 SB have high ES; therefore they were given 1 to 3 ranks, whereas 31, 37, 21SB have low ES, hence given 38 to 36 rank as predicted by MCDM methods and SWAT. MCDM validation results depict that VIKOR and CF methods are more acceptable than TOPSIS and SAW. Calibration (flow discharge R 0.86, NSE 0.75; sediment load R 0.87, NSE 0.69) and validation (flow discharge R 0.79, NSE 0.55; sediment load R 0.79, NSE 0.76) of SWAT model indicated that simulated results are well fitted with observed data. Therefore, VIKOR reflects the significant role of morphometric parameters on ES, whereas SWAT reflects the significant role of LULC, slope, and soil on ES. However, it could be concluded that VIKOR is more effective MCDM method in comparison to SWAT prediction.
坎桑巴蒂盆地位于热带高原地区,面临着土壤侵蚀敏感性 (SES)、土壤肥力退化和水库淤积等多个问题。因此,有必要确定三十八个子流域 (SB) 的 SES 区,以便对盆地进行优先排序。本研究通过使用四种多准则决策 (MCDM) 模型来解决这个问题:VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR)、逼近理想解的排序方法 (TOPSIS)、简单加法权重 (SAW) 和复合因子 (CF)。为了确定 MCDM 中最适合用于侵蚀敏感性 (ES) 的方法,与土壤和水评估工具 (SWAT) 进行了比较,其中 MCDM 考虑了十五个形态参数,而 SWAT 模型则考虑了气象数据、土壤、坡度和土地利用/土地覆被 (LULC)。使用百分比变化和强度变化两个验证指标来评估和比较 MCDM 结果。使用 SWAT 模型性能,SWAT 校准和不确定性分析程序 (CUP) 对 SWAT 参数对流量和泥沙负荷模拟的敏感性进行了分析。结果表明,23、16、18 个子流域具有高 ES,因此它们被赋予 1 到 3 的等级,而 31、37、21 个子流域具有低 ES,因此被赋予 38 到 36 的等级,这是由 MCDM 方法和 SWAT 预测的。MCDM 验证结果表明,VIKOR 和 CF 方法比 TOPSIS 和 SAW 更具可接受性。SWAT 模型的校准(流量 R 0.86,NSE 0.75;泥沙负荷 R 0.87,NSE 0.69)和验证(流量 R 0.79,NSE 0.55;泥沙负荷 R 0.79,NSE 0.76)表明,模拟结果与观测数据拟合良好。因此,VIKOR 反映了形态参数对 ES 的重要作用,而 SWAT 反映了 LULC、坡度和土壤对 ES 的重要作用。然而,可以得出结论,与 SWAT 预测相比,VIKOR 是一种更有效的 MCDM 方法。