平原水库水质评价、污染源划分及环境管理对策——以天河为例

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jing Gao , Jian Li , Tianheng Tong , Jianying Chao , Zhiqiang Dong , Jianmin Zhan
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引用次数: 0

摘要

天河是蚌埠市116万居民唯一的应急储备饮用水源。最近,湖水显示出明显的富营养化和污染迹象。为了解湖泊水质退化的变化规律及驱动因素,本研究对该湖泊进行了水质监测与评价。研究结果表明:天河水质指数(WQI)在60.560 ~ 81.724之间,总体水质在“好”与“中”之间波动;湖泊水体平均营养水平指数(TLI)为63.23,呈中度富营养化特征。受气候因子和人为活动的影响,水质表现出明显的季节和空间分布特征。主成分分析/因子分析(PCA/FA)结果表明,主要水质指标包括叶绿素a (Chla)、5天生化需氧量(BOD5)、铵态氮(NH3-N)、总氮(TN)和总磷(TP)。利用这5个指标和相对权重建立的最小水质指数(WQImin)模型具有较高的水质评价精度,决定系数(R2)和均方根误差(RMSE)分别为0.886和2.586。污染源分配分析表明,农业径流和生活污水排放是污染物负荷的主要来源。湖底沉积物中氮(N)和磷(P)的内源释放被确定为次要来源。该研究可提高公众对小型水库安全供水的认识,为平原水库的环境管理提供新的参考和效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Water quality evaluation, pollution sources apportionment, and environment management strategies in plain reservoirs: A case study of Tianhe Lake, China

Water quality evaluation, pollution sources apportionment, and environment management strategies in plain reservoirs: A case study of Tianhe Lake, China
Tianhe Lake serves as the sole emergency reserve drinking water source for Bengbu City’s 1.16 million residents. Recently, the lake’s water has shown significant signs of eutrophication and contamination. In order to understand the change rules and driving factors behind of water quality degradation, this study conducted water quality monitoring and evaluation of the lake. The study results revealed that the water quality index (WQI) of Tianhe Lake ranged from 60.560 to 81.724, indicating overall water quality fluctuating between “good” and “moderate”. The average trophic level index (TLI) of lake water was 63.23, characterized by moderate eutrophication. Influenced by climatic factors and anthropogenic activities, water quality exhibited significant seasonal and spatial distribution characteristics. Principal component analysis/factor analysis (PCA/FA) results indicated that the key water quality indicators included Chlorophyll-a (Chla), five-day biochemical oxygen demand (BOD5), ammonium nitrogen (NH3-N), total nitrogen (TN), and total phosphorus (TP). The minimal water quality index (WQImin) models developed using these five indicators and relative weights exhibited higher accuracy in water quality assessment, with the coefficient of determination (R2) and Root Mean Square Error (RMSE) values of 0.886 and 2.586, respectively. Pollution source apportionment analysis suggested that agricultural runoff and domestic sewage discharge were the predominant contributors to pollutant loads. Endogenous release of nitrogen (N) and phosphorus (P) from lake bottom sediments was identified as a secondary source. This study can enhance public awareness regarding safe water supply from small-scale reservoirs and provide new references and benefits for the environment management of plain reservoirs.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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