利用水质指数和地理信息系统比较评估地表水水质的时空变化

IF 2.7 4区 地球科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Aysenur Uslu, Secil Tuzun Dugan, Abdellah El Hmaidi, Ayse Muhammetoglu
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引用次数: 0

摘要

需要对地表水水质的时空变化进行全面的比较分析,尤其是在面临多种污染源的地区。虽然之前的研究已经探索了单个水质指数(WQIs)的使用,但对不同水质指数在复杂环境背景下评估水质动态时的表现了解有限。本研究旨在评估三种水质指数(加拿大环境部长理事会 (CCME)、国家卫生基金会 (NSF) 和河流水质评价系统 (SEQ-Eau))和国家水质法规在评估水质动态方面的有效性。试点研究区域是土耳其安塔利亚市的 Acısu 溪,那里的农业生产方式和废水处理排放物损害了水质。进行了长达一年的密集监测研究,包括现场测量、多种物理化学和细菌学参数分析。CCME 和 SEQ-Eau 指数将上游的水质划分为优/良,并逐渐恶化至下游的极差,显示出很强的相关性。然而,NSF 指数在评估某些监测站/时段的水质时,由于蚀损和刚性问题而显示出较低的准确性。监管方法将不同采样时段/监测站的水质分为中等或良好,其准确性也较低。这项研究的新颖之处在于它采用了综合方法来确定影响水质指标性能的方法因素。建议将统计分析、人工智能或多标准决策方法纳入水质指标,以加强地表水水质评估和管理策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comparative evaluation of spatiotemporal variations of surface water quality using water quality indices and GIS

Comparative evaluation of spatiotemporal variations of surface water quality using water quality indices and GIS

There is a need for a comprehensive comparative analysis of spatiotemporal variations in surface water quality, particularly in regions facing multiple pollution sources. While previous research has explored the use of individual water quality indices (WQIs), there is limited understanding of how different WQIs perform in assessing water quality dynamics in complex environmental settings. The objective of this study is to evaluate the effectiveness of three WQIs (Canadian Council of Ministers of the Environment (CCME), National Sanitation Foundation (NSF) and System for Evaluation of the Quality of rivers (SEQ-Eau) and a national water quality regulation in assessing water quality dynamics. The pilot study area is the Acısu Creek in Antalya City of Turkey, where agricultural practices and discharge of treated wastewater effluents impair the water quality. A year-long intensive monitoring study was conducted includig on-site measurements, analysis of numerous physicochemical and bacteriological parameters. The CCME and SEQ-Eau indices classified water quality as excellent/good at the upstream, gradually deteriorating to very poor downstream, showing a strong correlation. However, the NSF index displayed less accuracy in evaluating water quality for certain monitoring stations/sessions due to eclipsing and rigidity problems. The regulatory approach, which categorized water quality as either moderate or good for different sampling sessions/stations, was also found less accurate. The novelty of this study lies in its holistic approach to identify methodological considerations that influence the performance of WQIs. Incorporating statistical analysis, artificial intelligence or multi-criteria decision-making methods into WQIs is recommended for enhanced surface water quality assessment and management strategies.

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来源期刊
Earth Science Informatics
Earth Science Informatics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
4.60
自引率
3.60%
发文量
157
审稿时长
4.3 months
期刊介绍: The Earth Science Informatics [ESIN] journal aims at rapid publication of high-quality, current, cutting-edge, and provocative scientific work in the area of Earth Science Informatics as it relates to Earth systems science and space science. This includes articles on the application of formal and computational methods, computational Earth science, spatial and temporal analyses, and all aspects of computer applications to the acquisition, storage, processing, interchange, and visualization of data and information about the materials, properties, processes, features, and phenomena that occur at all scales and locations in the Earth system’s five components (atmosphere, hydrosphere, geosphere, biosphere, cryosphere) and in space (see "About this journal" for more detail). The quarterly journal publishes research, methodology, and software articles, as well as editorials, comments, and book and software reviews. Review articles of relevant findings, topics, and methodologies are also considered.
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