在划定地下水补给潜力区时有效利用灾难多标准决策分析法

Md. Nasir, Uddin Khan, Md. Nozibul Haque
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引用次数: 0

摘要

基于托姆(Thom)[1] 灾难理论(CT)的多标准决策分析已被广泛应用于解决各种社会、物理和自然科学问题。它已成为利用地理信息系统(GIS)确定一个地区地下水潜力的重要工具。本文旨在利用 Li 等人[2]提出的标准化公式和朱宏伟[3]提供的修正公式,有效地应用灾变理论。根据水文地质参数的性质,在标准化过程中酌情使用了朱宏伟的公式,以确保最不重要的特征也能得到关注,而使用李晓明的公式则无法做到这一点。使用四种公式得到的所有主题的特征标准化值按升序排序,以估算归一化值,确保没有一个特征的归一化值超过其他标准化值非常接近但较低的特征。在地理信息系统环境中有效利用 CT 技术,通过整合土地类型、坡度、排水密度、与地表水体的距离、土壤渗透性、地表粘土厚度、降雨量、地形崎岖指数、地形弯曲指数、地形湿润指数和地形位置指数等影响补给的因素,划定了孟加拉国库什蒂亚区中西部的地下水补给潜力区。对于有效的 CT 技术,地下水补给潜力区被划分为非常好(28.76%)、好(32.17%)和一般好(39.05%)。但在 CT 技术使用不当的情况下,覆盖面积分别为 17.24%、54.05% 和 28.71%,而最敏感的因素分别是降雨量和排水密度。最后,利用地下水补给数据对补给潜力区进行了验证,有效和不当使用 CT 技术的决定系数分别为 0.92 和 0.84。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective Use of Catastrophe Multicriteria Decision Analysis in Delineating Groundwater Recharge Potential Zones
Multicriteria decision analysis based on Thom’s [1] Catastrophe Theory (CT) has been applied extensively in solving various social, physical and natural sciences problems. It has become a key tool for identifying the groundwater potentiality of an area with a Geographic Information System (GIS). This paper aimed to apply catastrophe theory effectively by utilizing the standardization formulae suggested by Li et al. [2] and the modified formulae provided by Hongwei Zhu [3]. Depending on the nature of a hydrogeological parameter, CT formulae were chosen to ensure that the least important features also get attention during standardization using Hongwei Zhu's formulae where applicable, which were not possible using Li’s formulae. The standardized values of the features of all the themes obtained using four formulae were sorted in ascending order to estimate the normalized values to ensure that no normalized value of a feature exceeds the others having very close but lower standardized values. The effective use of CT technique was employed in a GIS environment to delineate groundwater recharge potential zones of the middle-west part of Kushtia district, Bangladesh, by integrating influential recharge factors, such as land type, slope, drainage density, distance from surface water bodies, soil permeability, surface clay thickness, rainfall, topographic ruggedness index, topographic curvature index, topographic wetness index and topographic position index. The groundwater recharge potential zones were classified as very good (28.76%), good (32.17%), and moderately good (39.05%) for effective CT technique. But in case of the improper use of CT covering area were 17.24%, 54.05% and 28.71% respectively, and the respective most sensitive factors are rainfall and drainage density. Finally, recharge potential zones were validated using groundwater recharge data with a determinant coefficient of 0.92 and 0.84 for effective and improper use of CT technique respectively.
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