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Multi-Criteria Decision Making Approach for Watershed Prioritization Using Analytic Hierarchy Process Technique and GIS

机译:层次分析与GIS相结合的流域划分的多标准决策方法

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Watershed prioritization based on the natural resources and physical processes involves locating critical areas of erosion, which produce maximum sediment yield to take up conservation activities on priority basis. The present study was taken up with a specific objective of prioritization of micro-watersheds using Multi-Criteria Decision Approach - Analytic Hierarchy Process (AHP) based SYI model (AHPSYI) under GIS environment for a case study area of Mayurakshi watershed in India. This method basically uses information of Potential Erosion Index (PEI) and Sediment Delivery Ratio (SDR), indicative of transport capacity. In the present study, sediment delivery factors viz., topography, vegetation cover, proximity to water courses and soil were translated into GIS layers and integrated using Boolean conditions to create a data layer of spatially distributed SDIs' across the watershed. For assessment of PEI, important watershed parameters viz., land use/land cover, soil, slope, and drainage density maps were integrated in the GIS environment using Weighted Linear Combination method (WLC) by assigning weights to themes and ranks to features of individual theme using AHP technique. A comparison between AHPSYI based sub watershed prioritization map with that of prioritization map based on the observed sediment yield data revealed that about 78 % of the area showed concurrence. Thus, it can be inferred that the watershed prioritization based on only thematic layers can be dependable to maximum extent. Subsequently, proposed approach was adopted for prioritization of the study area at micro watershed scale, where area under high and very high categories together constitutes around 33 % of the study area. Around 100 micro-watersheds out of 276 watersheds are under moderate to very high category respectively, signifying the need for watershed management.
机译:根据自然资源和物理过程对流域划分优先次序,需要确定侵蚀的关键区域,这些区域将产生最大的沉积物产量,以便优先开展保护活动。本研究的特定目标是使用多准则决策方法-基于GIS环境下基于层次分析法(AHP)的SYI模型(AHPSYI)对微流域进行优先排序,以印度Mayurakshi流域为例。此方法基本上使用潜在侵蚀指数(PEI)和沉积物输送比(SDR)的信息来表示运输能力。在本研究中,将沉积物输送因子,即地形,植被覆盖,靠近水道和土壤的情况转换为GIS图层,并使用布尔条件进行整合,以创建流域内空间分布SDI的数据层。为了评估PEI,使用加权线性组合法(WLC)将权重分配给主题,并将权重分配给个人特征,从而将重要的流域参数(即土地利用/土地覆盖,土壤,坡度和排水密度图)整合到GIS环境中主题使用AHP技术。基于AHPSYI的子流域优先排序图与基于观测到的沉积物产量数据的优先排序图之间的比较表明,约有78%的区域表示同意。因此,可以推断出,仅基于主题层的分水岭优先级可以在最大程度上可靠。随后,采用建议的方法在微观分水岭规模上对研究区域进行优先排序,其中高和非常高类别下的区域合计占研究区域的33%左右。在276个流域中,大约有100个微流域属于中度到非常高的类别,这表明需要对流域进行管理。

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