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首页> 外文期刊>Natural resources research >Groundwater Potential Mapping in a Rural River Basin by Union (OR) and Intersection (AND) of Four Multi-criteria Decision-Making Models
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Groundwater Potential Mapping in a Rural River Basin by Union (OR) and Intersection (AND) of Four Multi-criteria Decision-Making Models

机译:由联盟(或)和四个多标准决策模型的地区河流盆地地下水潜力映射

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Targeting groundwater in the river basin like Chandrabhaga with seasonal drought is a very urgent task especially for mitigating irrigation demand during the non-monsoon period. This paper delineated suitable groundwater potential zones based on the analytical hierarchy process (AHP), modified AHP, PCA-based weight and knowledge-based weight of multiple input parameters. For providing more certainty of the target zones in the derived models, union and intersection of all models were performed. A GIS-based multi-criteria approach using 13 relevant parameters has been adopted in this work. From the first four models, it is found that very suitable areas vary from 7.5 to 11% of the total basin area. The union and intersection models of the four individual models, respectively, delineated 13.91% and 3.69% suitable areas. Among the six models, the average yield of groundwater (5.96 L/s) is maximum in case of the intersection model, which is, therefore, more reliable than others. In case of the union model, the suitable area has 0.2 L/s less average yield than the intersection model. Therefore, for the harvesting more water, very good potential area delineated in the intersection model can be targeted. All these models will nevertheless help decision-makers to judge whether the existing groundwater harvesting structures are located properly or whether reorientation is needed.
机译:在河流河流域上瞄准地下水,季节性干旱是一个非常紧迫的任务,特别是在非季风期间减轻灌溉需求。本文基于分析层次处理(AHP),改进的AHP,基于PCA的重量和基于知识的多输入参数的重量,划定了合适的地下水潜在区域。为了在派生模型中提供更确定的目标区域,执行所有模型的联盟和交叉点。在这项工作中采用了基于GIS的多标准方法,采用了13个相关参数。从前四种模型,发现非常合适的区域从总盆地区域的7.5%变化。四种单独模型的联盟和交叉线模型分别划定了13.91%和3.69%的合适区域。在六种模型中,在交叉点模型的情况下,地下水(5.96L / s)的平均产量最大,因此,这是比其他型号更可靠。在联合模型的情况下,合适的区域的平均产量比交叉点模型为0.2L / s。因此,为了收获更多的水,可以针对交叉点模型描绘的非常好的潜在区域。尽管如此,所有这些模型都将有助于决策者判断现有的地下水收集结构是否正确或是否需要重新定位。

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