黄河流域大黑河水质时空特征及控制因素[j]。

Q2 Environmental Science
Chang Yue, Rui-Zhong Gao, Li-Min Duan, Hui Tong, Long-Mei Xie, Li-Jing Fang, Ke-Ling Wang, Bing Sun
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引用次数: 0

摘要

黄河流域作为重要的生态安全屏障和人口活动的经济核心带,在中国社会发展和生态安全中发挥着重要作用。为探讨流域典型支流水环境质量的时空变化及其影响因素,本研究基于2013 - 2022年大黑河流域21个监测站12个方面的水环境数据和逐月降雨径流数据。采用熵加权水质指数(EWQI)、逐步多元线性回归、层次聚类分析和Pearson相关分析等方法综合评价流域水质变化,探讨流域水质控制因素。结果表明:①大黑河流域水质达到地表水V级及以上标准,丘陵山区水质最好,研究期间整体水质有所改善。②丘陵山区水质优于平原区和城镇建成区,EWQI模型中各指标优化后影响水质的主要控制因素为TN、BOD5、TP、NH4+-N和高锰酸盐指数,决定系数为0.952。③在空间尺度上,大黑河流域监测站可分为三类。S2站L1类雨后水质变差,S14站L2类雨后水质变好,S21站L3类雨后水质变好,3类站点冬季水质总体变差。④流域生态环境质量指数与径流量呈正相关,与降雨量相关性不显著,特征污染物主要为营养盐和有机质。通过揭示黄河流域典型支流水质时空变化特征及其对降雨径流非点源污染的响应关系,为黄河典型支流水质达标控制与管理提供科学参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Spatial and Temporal Characteristics and Controlling Factors of Water Quality of the Dahei River in the Yellow River Basin].

As an important ecological security barrier and an economic core belt for population activities, the Yellow River Basin plays an important role in China's social development and ecological security. To investigate the spatial and temporal changes in the water environmental quality of typical tributaries in the basin and the factors affecting them, this study was based on 12 aspects of water environmental data and month-by-month rainfall and runoff data from 21 monitoring stations in the Dahei River Basin from 2013 to 2022. The entropy-weighted water quality index (EWQI), stepwise multiple linear regression, hierarchical cluster analysis, and Pearson correlation analysis were used to comprehensively assess the changes in the water quality of the basin and to investigate the factors controlling the water quality. The results showed that: ① The water quality of Dahei River Basin reached the standard of surface water class V and above; the water quality in hilly and mountainous areas was the best; and the overall water quality improved during the study period. ② The water quality in hilly and mountainous areas was better than that in plain areas and built-up areas of cities and towns, and the main controlling factors affecting the water quality after optimization of the indicators in the EWQI model were TN, BOD5, TP, NH4+-N, and permanganate index, with a coefficient of determination of 0.952. ③ On a spatial scale, the monitoring stations in the Dahei River Basin could be clustered into three categories. The water quality of the S2 station in the L1 category deteriorated after rainfall, whereas water quality improved after rainfall at site S14 in the L2 category and at site S21 in the L3 category, and water quality deteriorated overall at all three categories of sites in the winter. ④ The EWQI of the basin had a positive correlation with runoff and a non-significant correlation with rainfall; the main characteristic pollutants were nutrient salts and organic matter. By revealing the spatial and temporal variations of water quality in typical tributaries of the Yellow River Basin and its response relationship to non-point source pollution triggered by rainfall and runoff events, this study can provide scientific references for the control and management of water quality attainment in typical tributaries of the Yellow River.

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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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