A holistic water quality risk assessment and key parameter identification approach coupling comparative water quality index (WQI) models: a six-year monitoring study in Danjiangkou Reservoir, China

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Xizhi Nong, Xianjie Yi, Lihua Chen, Jiahua Wei
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引用次数: 0

Abstract

The Danjiangkou Reservoir (DJKR), the source of the world’s longest inter-basin water diversion, the Middle Route of the South-to-North Water Diversion Project (MRSNWDPC), has attracted global attention for its water quality. This study collected water samples monthly from 31 monitoring sites between January 2017 and December 2022, assessing 18 water quality parameters. Multivariate statistical methods and five water quality index (WQI) models were employed to comprehensively evaluate water quality, optimizing critical parameter identification and enhancing the predictive reliability of water quality changes. Compared to traditional WQI approaches, our method offers improved accuracy in assessing water quality variations and risks. The findings reveal that the tributary river systems were classified by pollution degree, while reservoirs were categorized based on adjacent geographical locations. WQI values in the Danjiangkou Reservoir basin ranged from 82.70 to 91.24, indicating that the water quality was consistently “good” to “excellent”. Key water quality indicators, i.e., ammonia nitrogen (NH3-N), permanganate index (CODMn), dissolved oxygen (DO), chemical oxygen demand (COD), total phosphorus (TP), and total nitrogen (TN), and heavy metals, i.e., selenium (Se), copper (Cu), mercury (Hg), and cadmium (Cd), were used to construct WQImin models for different clusters. These models demonstrated explanatory solid power for evaluating water quality (R2 > 0.9). Four weighting methods—equal weight, rank sum, rank reciprocal, and rank order centroid—were applied to determine the WQImin and WQI models. The results identified equal weight as the optimal WQImin model construction method. The carcinogenic risks of chromium (Cr) and arsenic (As) ranged from 4.03 × 10–5 to 4.66 × 10–5, within the acceptable level of 1 × 10–4 to 1 × 10–6. The hazard quotients for all heavy metals were below "1", and non-carcinogenic risks were higher for children than for adults. Overall, the heavy metals in DJKR presented no significant human health risks. After the MRSNWDPC became fully operational, the DJKR maintained excellent water quality, with the reservoir's water deemed safe for drinking and other uses. This study provides a scientific basis for managing water quality in DJKR and other large-scale hydroengineering projects.

耦合水质指数(WQI)比较模型的整体水质风险评估和关键参数识别方法:中国丹江口水库六年监测研究
丹江口水库(DJKR)是世界上最长的跨流域引水工程--南水北调中线工程(MRSNWDPC)的水源地,其水质受到全球关注。本研究在 2017 年 1 月至 2022 年 12 月期间,每月从 31 个监测点采集水样,评估 18 个水质参数。采用多元统计方法和五种水质指数(WQI)模型对水质进行综合评价,优化了关键参数的识别,提高了水质变化的预测可靠性。与传统的水质指数方法相比,我们的方法提高了评估水质变化和风险的准确性。研究结果表明,支流河系按污染程度分类,而水库则根据相邻地理位置分类。丹江口水库流域的水质指数值介于 82.70 至 91.24 之间,表明水质始终处于 "良 "至 "优 "之间。利用氨氮(NH3-N)、高锰酸盐指数(CODMn)、溶解氧(DO)、化学需氧量(COD)、总磷(TP)、总氮(TN)等主要水质指标和硒(Se)、铜(Cu)、汞(Hg)、镉(Cd)等重金属指标构建了不同组群的 WQImin 模型。这些模型在水质评价方面表现出了很强的解释力(R2 > 0.9)。在确定 WQImin 和 WQI 模型时,采用了四种加权方法--等权重法、秩和法、秩倒数法和秩序中心法。结果表明,等权重法是最佳的 WQImin 模型构建方法。铬(Cr)和砷(As)的致癌风险介于 4.03 × 10-5 至 4.66 × 10-5 之间,在 1 × 10-4 至 1 × 10-6 的可接受范围内。所有重金属的危害商数都低于 "1",儿童的非致癌风险高于成人。总体而言,DJKR 中的重金属不会对人类健康造成重大风险。在 MRSNWDPC 全面投入运行后,DJKR 保持了极佳的水质,水库水被认为可安全饮用和用于其他用途。这项研究为管理 DJKR 和其他大型水利工程项目的水质提供了科学依据。
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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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