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首页> 外文期刊>The Science of the Total Environment >Assessing river water quality using water quality index in Lake Taihu Basin, China
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Assessing river water quality using water quality index in Lake Taihu Basin, China

机译:利用太湖流域水质指数评价河流水质

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摘要

Lake Taihu Basin, one of the most developed regions in China, has received considerable attention due to its severe pollution. Our study provides a clear understanding of the water quality in the rivers of Lake Taihu Basin based on basin-scale monitoring and a water quality index (WOJ) method. From September 2014 to January 2016, four samplings across four seasons were conducted at 96 sites along main rivers. Fifteen parameters, including water temperature, pH, dissolved oxygen (DO), conductivity, turbidity (tur), permanganate index (COD_(Mn)), total nitrogen, total phosphorus, ammonium (NH_(4-)N), nitrite, nitrate (NO_(3-)N), calcium, magnesium, chloride, and sulfate, were measured to calculate the WOJ. The average WOJ value during our study period was 5933; consequently, the water quality was considered as generally "moderate". Significant differences in WOJ values were detected among the 6 river systems, with better water quality in the Tiaoxi and Nanhe systems. The water quality presented distinct seasonal variation, with the highest WOJ values in autumn, followed by spring and summer, and the lowest values in winter. The minimum WQI (WQJ_(min)), which was developed based on a stepwise linear regression analysis, consisted of five parameters: NH4-N, COD_(Mn), NO_3-N, DO, and tur. The model exhibited excellent performance in representing the water quality in Lake Taihu Basin, especially when weights were fully considered. Our results are beneficial for water quality management and could be used for rapid and low-cost water quality evaluation in Lake Taihu Basin. Additionally, we suggest that weights of environmental parameters should be fully considered in water quality assessments when using the WOJ_(min) method.
机译:太湖流域是中国最发达的地区之一,由于其严重的污染而备受关注。我们的研究基于流域规模监测和水质指数(WOJ)方法,对太湖流域河流的水质有了清晰的了解。 2014年9月至2016年1月,在沿主要河流的96个地点进行了四个季节的四个采样。 15个参数,包括水温,pH,溶解氧(DO),电导率,浊度(tur),高锰酸盐指数(COD_(Mn)),总氮,总磷,铵(NH_(4-)N),亚硝酸盐,硝酸盐测量(NO_(3-)N),钙,镁,氯化物和硫酸盐以计算WOJ。我们研究期间的平均WOJ值为5933;因此,水质一般被认为是“中等”。在这六个河流系统中,WOJ值存在显着差异,在跳溪和南河系统中水质较好。水质呈现明显的季节变化,秋季的WOJ值最高,春季和夏季次之,冬季的最低。基于逐步线性回归分析开发的最小WQI(WQJ_(min))由五个参数组成:NH4-N,COD_(Mn),NO_3-N,DO和tur。该模型在代表太湖流域的水质方面表现出卓越的性能,尤其是在充分考虑了权重的情况下。我们的研究结果有利于水质管理,可用于太湖流域的快速低成本水质评价。此外,我们建议在使用WOJ_(min)方法进行水质评估时应充分考虑环境参数的权重。

著录项

  • 来源
    《The Science of the Total Environment》 |2018年第15期|914-922|共9页
  • 作者单位

    State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China;

    State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China;

    State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China;

    State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China;

    State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Water quality assessment; WQI; WQI_(min); River; Lake Taihu Basin; Yangtze River Delta;

    机译:水质评估;WQI;WQI_(min);河;太湖流域;长三角;

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