Spatiotemporal variation characteristics and source identification of water pollutants in Shayinghe River basin

文献类型： 外文期刊

第一作者： Zhang, Yan

作者： Zhang, Yan;Dou, Ming;Dou, Ming;Zhang, Yan;Li, Ping;Liang, Zhijie;Zhang, Yan;Li, Ping;Liang, Zhijie;Wang, Cai;Dai, Pengcheng

作者机构：

关键词： cluster analysis; pollution sources; Shayinghe River; Spatio-temporal variation characteristics; water pollution index

期刊名称：RIVER RESEARCH AND APPLICATIONS （ 影响因子：2.443； 五年影响因子：2.516 ）

ISSN： 1535-1459

年卷期：

页码：

收录情况： SCI

摘要： To understand the spatiotemporal variation characteristics and the sources of water pollutants in the Shayinghe River Basin, water quality monitoring data of the five water quality indexes (biochemical oxygen demand: BOD5, permanganate index: CODMn, ammonium nitrogen: NH3-N, total phosphorus: TP and dissolved oxygen: DO) were collected from 11 monitoring stations and divided into 6 categories (classes I, II, III, IV, V and inferior class V). The spatiotemporal distribution characteristics of the water pollutants were comprehensively identified by the water pollution index method (WPI), Mann-Kendall trend test, cluster analysis and box-plot analysis method, and the effects of the pollution source, runoff and sluice regulation were analyzed for water pollutants. The results indicated that the water quality standard of classes mainly belonged to class IV or above in Shayinghe River Basin, accounting for about 70%, but the water quality standard reached class I and class II for less than 15%. The water pollutants presented a significant decreasing trend, and the NH3-N and TP were the key control indexes for the monitoring stations in the Shayinghe River Basin. The exceeding rates of WPI values showed a significantly decreasing trend at Baidukou, Mawan, Huangqiao, Zhoukou Sluice, Jieshou, Fuyang Sluice and Yingshang Sluice by controlling the NH3-N and TP. The WPI values showed obvious variations in January 2011, March 2013 and October 2014 at the Baisha Reservoir, Mawan and Chengwan. The WPI values were divided into two major categories with respect to time. The non-flood season should be used as the key period for water quality management and control; the variability of WPI values was relatively large from January to June, November, and December, and the variability of WPI values was relatively low from July to October. The monitoring sections were spatially divided into three major categories. The WPI values had the greatest variability at Huangqiao and a relatively small variability at Baisha Reservoir, Mawan and Chengwan. The study results could provide the scientific basis for realizing targeted pollution source treatment, improving the effectiveness of water quality management and ecological environment, and a theoretical foundation for pollution control and water quality improvement in the Shayinghe River Basin.

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