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淮河干流近十年水质时空变化影响因素定量化研究。

The quantification of the influencing factors for spatial and temporal variations in surface water quality in recent ten years of the Huaihe River Basin, China.

机构信息

Key Laboratory of Surficial Geochemistry, Ministry of Education, Nanjing University, Nanjing, 210023, China.

School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210023, China.

出版信息

Environ Sci Pollut Res Int. 2022 Jun;29(29):44490-44503. doi: 10.1007/s11356-021-18282-9. Epub 2022 Feb 8.

Abstract

Temporal and spatial variations in river water quality and the factors influencing such variations are important basis and prerequisites for identifying pollution sources and improving river water environment. Monthly data for 22 indicators at 485 surface water quality (SWQ) monitoring sites (46,560 groups) in the Huaihe River Basin (HRB) from 2011 to 2018 were analyzed. This paper assessed temporal and spatial changes in SWQ in the HRB and identified the main factors influencing the changes and each factor's contribution to the changes. The five-day biological oxygen demand, permanganate index, fluoride, ammonium nitrogen, and total phosphorus were the main pollutants. Spatial cluster analysis indicated that the HRB could be divided by SWQ into areas I-IV from light to heavy pollution. Areas I and IV were nitrogen and phosphorus nutrients pollution, and areas II and III were heavy metals and organic pollution. Area IV (poor SWQ) locates mainly north of the Huaihe mainstream with annual average rainfall ≤ 640 mm. SWQ in the HRB has been improving for two decades, with an inflection point in 2015 between 2011 and 2018, and rainfall change is an important factor for the inflection point. The urbanization rate, industrial water consumption, and rainfall were the key factors influencing SWQ changes in the watershed with significant hydrological zonation, with urbanization rate and rainfall increased, industrial water consumption decreased, the SWQ was gradually improved. The key factors contributing to SWQ changes in the future will be the sewage treatment rate and rainfall changes caused by natural variations.

摘要

淮河流域水质时空变化特征及其影响因素分析

淮河流域(HRB)2011—2018 年月度 485 个地表水监测点位 22 项指标的 46560 组监测数据,分析了 HRB 水质的时空变化特征,识别了影响水质变化的主要因素及其对水质变化的贡献。五日生化需氧量、高锰酸盐指数、氟化物、氨氮和总磷是主要污染物。空间聚类分析表明,HRB 可按水质由轻到重分为 I—IV 区。I 区和 IV 区为氮磷营养物污染,II 区和 III 区为重金属和有机污染。IV 区(水质较差)主要位于淮河流域主流以北,年平均降雨量≤640mm。淮河流域水质在过去 20 年呈改善趋势,2015 年出现拐点,转折点出现在 2011—2018 年期间。降雨变化是出现拐点的重要因素。在具有显著水文分带性的流域中,城镇化率、工业用水量和降雨量是影响水质变化的关键因素,随着城镇化率和降雨量的增加、工业用水量的减少,流域水质逐渐得到改善。未来影响水质变化的关键因素将是污水处理率和由自然变化引起的降雨量变化。

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