基于多准则决策的水资源退化荒漠化风险制图(以喀山平原为例)

S. Pishyar, H. Khosravi, A. Tavili, A. Malekian
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引用次数: 3

摘要

为了研究伊斯法罕省卡尚地区的水资源退化状况,本研究根据伊朗和世界上已有的沙漠化研究,选取了地下水下降、水盐度、灌溉效率、井-坎儿井开发比、抽水时间、动物和人类用水短缺以及水负平衡等8个指标。确定现有评价模型。根据MEDALUS模型和选取的指标,绘制了研究区沙漠化地图。采用多准则决策法对所选指标进行加权,选取权重大于0.5的指标作为最有效的沙漠化指标。再次,利用最有效的指标编制了研究区沙漠化现状图。最后,对两幅沙漠化图进行了比较。结果表明,地下水下降、水矿化度、抽水时间和水负平衡对水资源退化的影响最大。对比两幅地下水退化图的结果表明,在8个指标的退化图上,临界条件c和临界条件b分别占总面积的87.78%和8.30%。而最有效指标提供的地图显示,99.15%的面积属于临界条件“c”,只有0.849%的面积属于临界条件“b”。因此,在评价沙漠化状况时,最好先采用加权法和排序法确定指标。这将查明对该地区沙漠化现象没有产生重大影响的指标,并防止它们对沙漠化等级和减分产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Desertification Risk Mapping based on Water Resources Degradation using Multi Criteria Decision Making (Case Study: Kashan Plain)
In this study, to study the status of water resources degradation in Kashan region, Isfahan Province, eight indices including: drop in groundwater, water salinity, irrigation efficiency, Well-to-Qanat development ratio, the pumping time, shortage of water supplies for animals and humans and the water negative balance were selected according to previous studies conducted on desertification in Iran and the world. Existing evaluation models were determined. Desertification map of the study area was provided according to MEDALUS model and selected indices. The selected indices were weighted using a multi-criteria decision method and each index having weight more than 0.5 were selected as the most effective indices of desertification. Again, the desertification status map of the study area was prepared by the most effective indices. Finally, the two desertification maps were compared. The results showed that the drop in groundwater, water salinity, the pumping time and water negative balance have the most effect on water resources degradation among selected indices. The results of comparing two groundwater degradation maps showed that based on map provided with eight indices, 87.78 and 8.30 percent of the total area are classified in critical conditions c and b, respectively. While the map provided by the most effective indicators shows that 99.15% of the total area is classified in the critical condition "c" and just 0.849% is classified in the critical condition "b". It can be concluded that to assess desertification status, it is better to first determine the indicators by weighting and prioritizing methods. This will identify the indicators that have not had a significant effect on the desertification phenomenon in the area and prevent their impact on desertification classes and reduction of scores.
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