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Hydrological response-based watershed prioritization in semiarid, basaltic region of western India using frequency ratio, fuzzy logic and AHP method

机译:基于水文响应的水平,使用频率比,模糊逻辑和AHP方法在西部印度玄武岩地区的水平响应优先级

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Watersheds from semiarid regions are more sensitive to hydrological processes and sustainability of water resources than humid regions. Hence, it is indispensable to determine the response of watersheds to hydrological processes for water resource management. Thus, the hydrological response-based watershed prioritization study has been undertaken for eight sub-watersheds from semiarid, basaltic region of Western Ghats of India. Intent to this, a novel index has been parameterized using thematic layers such as drainage density, geology, soil, slope, landform classification, land use/land cover, rainfall and runoff (DGSLR). This study evaluates the performance of DGSLR index using three models, namely analytical hierarchy process (AHP), frequency ratio (FR) and fuzzy logic for sub-watershed-wise prioritization. The FR ratio showed the highest value for very high drainage density (8.73) indicating most probability for a high hydrological response. According to AHP weight, most influencing factors to hydrological processes are precipitation (25%), slope (19%) and land use/land cover (14%) followed by landform classification (11%). These three methodsare prioritizedstudy area into four classes, i.e., very high, high, moderate and low using area-weighted average method. These models showed that very high-priority area lies near the outlet of the watershed as well as the upper part of the watershed in high to very high priority in all three models. It covers 33.12% of the total area having a high average slope with high drainage density in sub-watersheds 1, 3, 7 and 8. The predictive capability of DGSLR index was computed by the area under the curve (AUC) and receiver operating characteristic(ROC) method, revealed average accuracy for FR method (AUC=89%) better than AHP method (AUC=77%) and fuzzy logic (AUC=76%). This novel index could be used by the water resources researchers and planners in any terrain to understand the hydrological response.
机译:来自半干旱地区的流域对水文过程和水资源的可持续性比潮湿地区更敏感。因此,确定流域对水资源管理水文过程的响应是不可或缺的。因此,基于水文响应的流域优先化研究已经为来自印度西霍氏沼玄武岩地区的八个次流域进行了研究。为此,新颖的指数已经使用专题层进行了参数化,例如排水密度,地质,土壤,坡度,地形分类,土地使用/陆地覆盖,降雨和径流(DGSLR)。本研究评估了使用三种模型的DGSLR指数的性能,即分析层次处理(AHP),频率比(FR)和模糊逻辑,用于子流域优先级排序。 FR比显示出非常高的排水密度(8.73)的最高值,表明最高水文反应的概率。根据AHP的重量,大多数影响水文过程的因素是沉淀(25%),斜坡(19%)和土地使用/陆地覆盖(14%),然后是地形分类(11%)。这三种方法是优先考虑的区域分为四类,即非常高,高,中等和低的使用区域加权平均方法。这些模型表明,非常高优先的区域位于流域的出口附近以及在所有三种模型中高到高度优先的流域的上部。它占据了33.12%的总面积,具有高平均坡度,具有高引流密度的副流域1,3,7和8. DGSLR指数的预测能力由曲线(AUC)和接收器操作特性下的区域计算(ROC)方法,显示比AHP方法(AUC = 77%)和模糊逻辑(AUC = 76%)更好的FR方法(AUC = 89%)的平均精度。这种新颖的指数可以由水资源研究人员和规划者在任何地形中使用以了解水文反应。

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