2017―2018年西江干流水体高锰酸盐指数的变化特征及环境质量评价
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作者单位:

1. 中国水产科学研究院珠江水产研究所, 广东 广州 510380;
2. 农业农村部淡水生物多样性保护重点实验室, 中国水产科学研究院长江水产研究所, 湖北 武汉 430223

作者简介:

刘乾甫(1982-),男,博士,助理研究员,从事渔业水域环境监测与评价研究.E-mail:liuqfwh@163.com

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中图分类号:

S931

基金项目:

农业农村部淡水生物多样性保护重点实验室开放课题(LFBC0909);中国水产科学研究院基本科研业务费项目(2017HY-ZC0704);珠江重要渔业水域常规监测(9020190036).


Dynamic patterns of the permanganate index from 2017 to 2018 in surface waters of the mainstream of the Xijiang River and water environment evaluations
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Affiliation:

1. Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China;
2. Key Laborary of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China

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    摘要:

    为了解西江干流水体高锰酸盐指数(CODMn)的时空特征及影响因素,分别于2017年9月、12月和2018年3月、6月对西江红水河大湾至肇庆江段进行了季节调查,并对其水环境质量进行了初步分析与评价。结果表明:该水域CODMn质量浓度变化范围为0.73~4.83 mg/L,均值为2.67 mg/L;季节均值呈6月(3.08mg/L) > 12月(3.03 mg/L) > 9月(2.94mg/L) > 3月(1.62 mg/L)的变化特征;依据CODMn水平,13个样点可聚为3个类群,CODMn数值上呈聚群III > 聚群I > 聚群II情况;水体CODMn污染指数(超标率为12月 > 6月 > 9月 > 3月;水质标识指数评价结果得到西江干流大部分时期水质类别为I~II类,少数时期为III类,其中3月水质最好,都为I类,9月、12月为II类,6月为II~III类;统计分析结果显示CODMn与水温(WT)、TP呈显著正相关,与盐度(Sal)、DO、透明度(SD)、NO3-N、NO2-N、叶绿素a (Chl a)和N/P比值呈显著负相关,并受到TP和PO4-P和DO的显著性影响。西江干流水体污染目前尚不严重,水质优于中国境内其他主要河流;分析认为河流水动力情势及周边人类活动干扰是决定水体CODMn含量高低的重要因素;水体还原性有机质与TP具有一定的同源性,来自区域点源。

    Abstract:

    To understand the dynamic patterns of the permanganate index (CODMn) and impact factors in the surface water of the mainstream of Xijiang River, seasonal investigations were conducted between Dawan of Hongshui River and Zhaoqing of Xijiang River from September 2017 to June 2018. The water quality was analyzed and evaluated basing on the present study. During the investigation, the CODMn concentration varied in the range of 0.73~4.83 mg/L, and the mean value was 2.67 mg/L. The seasonal CODMn mean value were 3.08 mg/L (June), 3.03 mg/L (December), 2.94 mg/L (September), and 1.62 mg/L (March). The 13 sample stations were clustered in three groups, and the highest content of CODMn was found in cluster Ш, followed by cluster I, with the lowest in cluster II. Results of pollution conditions based on CODMn were in the range of 0.18~1.21, whereas the corresponding water quality levels were "no pollution" to "light pollution." The temporal water pollution for the annual average content of CODMn in water from the 13 sites in descending order was December, June, September, and March. The water quality identification index and levels based on CODMn showed that at most times in one year the water quality classification belonged to class I or II, and the last times belonged to class III. Specifically, water quality in March was best with assigned to class I, followed by periods in September and December, which was belonged to class II, and the worst water quality was in June, which belonged to class II to III. Correlation analysis with other physical and chemical factors showed that CODMn had a significant positive correlation with water temperature and total phos phorus, and it was significantly negatively correlated with salinity, dissolved oxygen (DO), secchi depth, total phosphorus, nitrate nitrogen, nitrite nitrogen chlorophyll a, and N:P. Stepwise regression analysis showed that CODMn concentration was significantly affected by total phosphorus, phosphate, and DO. According to the present study, it was determined that the water environment in mainstream of Xijiang River was lightly polluted and the water quality was better than most of the other rivers in our country. It was also concluded that the hydrodynamic situation of the river and human settlements near the sampling area were the factors affecting the CODMn concentration. Additionally, it was determined that the reducibility of organic matter came from "point source pollution" in the investigation area, which was in common with the sources of water total phosphorus mass.

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刘乾甫,赖子尼,李跃飞,高原,杜浩.2017―2018年西江干流水体高锰酸盐指数的变化特征及环境质量评价[J].中国水产科学,2019,26(6):1194-1204
LIU Qianfu, LAI Zini, LI Yuefei, GAO Yuan, DU Hao. Dynamic patterns of the permanganate index from 2017 to 2018 in surface waters of the mainstream of the Xijiang River and water environment evaluations[J]. Journal of Fishery Sciences of China,2019,26(6):1194-1204

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  • 在线发布日期: 2019-11-06
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