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
相关论文
共 50 条
  • [31] Site selection for artificial recharge with treated wastewater with the integration of multi-criteria evaluation and ELECTRE III
    Marwa Mahmoudi
    Abdelwaheb Aydi
    Hatem Ibrahim
    [J]. Environmental Science and Pollution Research, 2021, 28 : 46748 - 46763
  • [32] Landfill Site Selection by AHP Based Multi-criteria Decision Making Tool: A Case Study in Kolkata, India
    Majumdar A.
    Hazra T.
    Dutta A.
    [J]. Journal of The Institution of Engineers (India): Series A, 2017, 98 (3) : 277 - 283
  • [33] Site selection for a data centre - a multi-criteria decision-making model
    Daim, Tugrul U.
    Bhatla, Ashok
    Mansour, Mohammad
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING, 2013, 6 (01) : 10 - 22
  • [34] Spatial multi-criteria decision making approach for wind farm site selection: A case study in Balikesir, Turkey
    Yildiz, S. S.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 192
  • [35] Site selection for EVCS in Istanbul by GIS and multi-criteria decision-making
    Kaya, Omer
    Tortum, Ahmet
    Alemdar, Kadir Diler
    Codur, M. Yasin
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 80
  • [36] A Proposed Method for Multi-Criteria Group Decision Making: An Application to Site Selection
    Radwan, Nouran M.
    Elstohy, Rasha
    Hanna, Wael K.
    [J]. APPLIED ARTIFICIAL INTELLIGENCE, 2021, 35 (07) : 505 - 519
  • [37] GIS-based multi-criteria decision analysis for parking site selection
    Ozturk, Derya
    Kilic-Gul, Fatmagul
    [J]. KUWAIT JOURNAL OF SCIENCE, 2020, 47 (03)
  • [38] A review of multi-criteria decision making applications for renewable energy site selection
    Shao, Meng
    Han, Zhixin
    Sun, Jinwei
    Xiao, Chengsi
    Zhang, Shulei
    Zhao, Yuanxu
    [J]. RENEWABLE ENERGY, 2020, 157 : 377 - 403
  • [39] Spatial and multi-criteria decision analysis-based methodology for landfill site selection in growing urban regions
    Ersoy, Hakan
    Bulut, Fikri
    [J]. WASTE MANAGEMENT & RESEARCH, 2009, 27 (05) : 489 - 500
  • [40] Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision-making
    Ahmadisharaf, Ebrahim
    Tajrishy, Masoud
    Alamdari, Nasrin
    [J]. JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2016, 59 (08) : 1397 - 1417