A new spatial multi-criteria decision support tool for site selection for implementation of managed aquifer recharge

被引:159
|
作者
Rahman, M. Azizur [1 ]
Rusteberg, Bernd [1 ]
Gogu, R. C. [2 ,4 ]
Lobo Ferreira, J. P. [3 ]
Sauter, Martin [1 ]
机构
[1] Univ Gottingen, Geosci Ctr, D-37077 Gottingen, Germany
[2] Tech Univ Civil Engn, RO-020296 Bucharest, Romania
[3] Natl Lab Civil Engn LNEC, P-1700066 Lisbon, Portugal
[4] Romanian Acad, Res Inst Artificial Intelligence, RO-050711 Bucharest, Romania
关键词
Artificial recharge; Site selection; Spatial multicriteria analysis; Decision support; Querenca-Silves aquifer; ARTIFICIAL-RECHARGE; FUZZY QUANTIFIERS; GIS; IDENTIFICATION; GROUNDWATER; KNOWLEDGE; OPERATORS; BASIN; AREAS;
D O I
10.1016/j.jenvman.2012.01.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study reports the development of a new spatial multi-criteria decision analysis (SMCDA) software tool for selecting suitable sites for Managed Aquifer Recharge (MAR) systems. The new SMCDA software tool functions based on the combination of existing multi-criteria evaluation methods with modern decision analysis techniques. More specifically, non-compensatory screening, criteria standardization and weighting, and Analytical Hierarchy Process (AHP) have been combined with Weighted Linear Combination (WLC) and Ordered Weighted Averaging (OWA). This SMCDA tool may be implemented with a wide range of decision maker's preferences. The tool's user-friendly interface helps guide the decision maker through the sequential steps for site selection, those steps namely being constraint mapping, criteria hierarchy, criteria standardization and weighting, and criteria overlay. The tool offers some predetermined default criteria and standard methods to increase the trade-off between ease-of-use and efficiency. Integrated into ArcGIS, the tool has the advantage of using GIS tools for spatial analysis, and herein data may be processed and displayed. The tool is non-site specific, adaptive, and comprehensive, and may be applied to any type of site-selection problem. For demonstrating the robustness of the new tool, a case study was planned and executed at Algarve Region, Portugal. The efficiency of the SMCDA tool in the decision making process for selecting suitable sites for MAR was also demonstrated. Specific aspects of the tool such as built-in default criteria, explicit decision steps, and flexibility in choosing different options were key features, which benefited the study. The new SMCDA tool can be augmented by groundwater flow and transport modeling so as to achieve a more comprehensive approach to the selection process for the best locations of the MAR infiltration basins, as well as the locations of recovery wells and areas of groundwater protection. The new spatial multicriteria analysis tool has already been implemented within the GIS based Gabardine decision support system as an innovative MAR planning tool. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:61 / 75
页数:15
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