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基于地理信息系统-多准则决策分析模型的灌溉水质评估:来自土耳其安卡拉的案例研究。

Assessment of irrigation water quality by a Geographic Information System-Multicriteria Decision Analysis-based model: A case study from Ankara, Turkey.

机构信息

Geological Engineering Department, Aksaray University, Aksaray, Turkey.

Civil Engineering Departmant, Giresun University, Giresun, Turkey.

出版信息

Water Environ Res. 2019 Nov;91(11):1420-1432. doi: 10.1002/wer.1133. Epub 2019 Jun 19.

DOI:10.1002/wer.1133
PMID:31033099
Abstract

In this study, the irrigation water quality of Eryaman region in Ankara (Turkey) has been investigated using a Geographic Information System-Multicriteria Decision Analysis (GIS-MCDA)-based model. Two different irrigation water quality indices (IWQI-A and IWQI-B) based on Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) have been developed to provide a single suitability score for all criteria of irrigation water quality. The irrigation water quality indices were composed of 3 main criteria and 11 sub-criteria. Based on irrigation water quality indices, four suitability classes have been identified as (a) excellent, (b) good, (c) permissible, and (d) unsuitable. Irrigation water quality maps were created by using kriging method and the water quality index scores. The temporal variation of irrigation water quality was evaluated using the models created for July 2007, 2010, and 2015 years. The most suitable areas for irrigation water are concentrated in the eastern and western parts of the region where the IWQI-B scores were >0.85. In recent years, the deterioration in irrigation water quality has increased in the southern parts of the basin. This research has demonstrated that the indices created by using DEA and AHP methods are reliable indicators to assess irrigation water quality. PRACTITIONER POINTS: Water quality indices can be used to depict the overall water quality status in water management planning. To avoid problems when modeling groundwater quality, the factors that have the most effect on water quality should be selected. Analytic Hierarchy Process and Data Envelopment Analysis techniques are efficient and reliable methods to determine water quality.

摘要

本研究采用基于地理信息系统-多准则决策分析(GIS-MCDA)的模型,对安卡拉(土耳其)埃雷曼地区的灌溉水质进行了调查。基于层次分析法(AHP)和数据包络分析(DEA),开发了两种不同的灌溉水质指数(IWQI-A 和 IWQI-B),为所有灌溉水质标准提供了单一的适宜性评分。灌溉水质指数由 3 个主要标准和 11 个次标准组成。根据灌溉水质指数,确定了 4 个适宜类别,分别为:(a)优秀、(b)良好、(c)可接受和(d)不适宜。通过使用克里金方法和水质指数得分,创建了灌溉水质图。利用为 2007 年 7 月、2010 年和 2015 年创建的模型评估了灌溉水质的时间变化。最适合灌溉的地区集中在该地区东部和西部,那里的 IWQI-B 得分>0.85。近年来,流域南部的灌溉水质恶化有所增加。这项研究表明,使用 DEA 和 AHP 方法创建的指数是评估灌溉水质的可靠指标。实用要点:水质指数可用于描述水资源管理规划中的整体水质状况。为避免在地下水水质建模过程中出现问题,应选择对水质影响最大的因素。层次分析法和数据包络分析技术是确定水质的有效且可靠的方法。

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