Pourghasemi Hamid Reza, Honarmandnejad Fatemeh, Rezaei Mahrooz, Tarazkar Mohammad Hassan, Sadhasivam Nitheshnirmal
Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran.
Soil Science Department, School of Agriculture, Shiraz University, Shiraz, Iran.
Environ Sci Pollut Res Int. 2021 Jul;28(28):37894-37917. doi: 10.1007/s11356-021-13300-2. Epub 2021 Mar 15.
Water-induced erosion poses severe harm to the sustainable development of land and water resources that is essential for attaining agricultural sustainability in Qareaghaj catchment of Fars Province, Iran. This study evaluates the topo-hydrological, morphometric, climatic, and environmental characteristics of Qareaghaj catchment for prioritizing the sub-watersheds that are susceptible to erosion caused by water. We tested and compared a novel ensemble multi-criteria decision-making (MCDM) model, namely the weighted aggregated sum product assessment-analytical hierarchy process (WASPAS-AHP) with prevailing benchmark ensemble MCDM models including VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR)-AHP and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)-AHP for ranking sub-watersheds and determining the most significant parameter that influences water erosion (WE) in Qareaghaj catchment. The outcome of weights using pairwise comparison matrix (PCM) of AHP reveals that normalized difference vegetation index (NDVI), mean annual rainfall (MAR), slope degree (SD), and slope length and steepness factor (LS) governs the WE in Qareaghaj catchment. The prioritization rankings of sub-watersheds obtained using the VIKOR-AHP, TOPSIS-AHP, and WASPAS-AHP models demonstrate that SW31, SW63, and SW94 had the highest priority rank with a score of 0.047, 0.69, and 0.477, respectively. The comparison of rankings from the models using Spearman's correlation coefficient tests (SCCT) and Kendall's tau correlation coefficient tests (KTCCT) revealed that WASPAS-AHP had a higher correlation with TOPSIS-AHP and VIKOR-AHP ensemble models. The outcome of MCDM models was validated based on the erosion potential method (EPM), which displayed that the VIKOR-AHP model was better for mapping the erosion susceptibility than TOPSIS-AHP and WASPAS-AHP models. Thus, the erosion susceptibility mapping based on the VIKOR-AHP ensemble model can be considered for developing new strategies and land use policies in order to control WE in Qareaghaj catchment.
水蚀对土地和水资源的可持续发展造成了严重危害，而土地和水资源的可持续发展对于实现伊朗法尔斯省卡雷阿加吉集水区的农业可持续性至关重要。本研究评估了卡雷阿加吉集水区的地形水文、形态测量、气候和环境特征，以便对易受水蚀影响的子流域进行优先排序。我们测试并比较了一种新型的集成多准则决策（MCDM）模型，即加权聚合和乘积评估-层次分析法（WASPAS-AHP），以及流行的基准集成MCDM模型，包括VlseKriterijumska optimizacija I Kompromisno Resenje（VIKOR）-AHP和逼近理想解排序法（TOPSIS）-AHP，用于对子流域进行排名，并确定影响卡雷阿加吉集水区水蚀（WE）的最重要参数。使用层次分析法的成对比较矩阵（PCM）得出的权重结果表明，归一化植被指数（NDVI）、年平均降雨量（MAR）、坡度（SD）以及坡度长度和陡度因子（LS）对卡雷阿加吉集水区的水蚀有控制作用。使用VIKOR-AHP、TOPSIS-AHP和WASPAS-AHP模型得出的子流域优先排序结果表明，SW31、SW63和SW9分别具有最高优先级，得分分别为0.047、0.69和0.477。使用斯皮尔曼相关系数检验（SCCT）和肯德尔tau相关系数检验（KTCCT）对模型排名进行比较后发现，WASPAS-AHP与TOPSIS-AHP和VIKOR-AHP集成模型具有更高的相关性。基于侵蚀潜力方法（EPM）对MCDM模型的结果进行了验证，结果表明，VIKOR-AHP模型在绘制侵蚀敏感性方面比TOPSIS-AHP和WASPAS-AHP模型更好。因此，为了控制卡雷阿加吉集水区的水蚀，可以考虑基于VIKOR-AHP集成模型进行侵蚀敏感性绘图，以制定新的战略和土地利用政策。
