Yan Chang-An, Zhang Wanchang, Zhang Zhijie, Liu Yuanmin, Deng Cai, Nie Ning
State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093, P. R. China; Kunming Institute of Environmental Science, Kunming 650032, P.R. China.
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing 100094, P. R. China.
PLoS One. 2015 Mar 13;10(3):e0119130. doi: 10.1371/journal.pone.0119130. eCollection 2015.
Water quality assessment at the watershed scale requires not only an investigation of water pollution and the recognition of main pollution factors, but also the identification of polluted risky regions resulted in polluted surrounding river sections. To realize this objective, we collected water samplings from 67 sampling sites in the Honghe River watershed of China with Grid GIS method to analyze six parameters including dissolved oxygen (DO), ammonia nitrogen (NH3-N), nitrate nitrogen (NO3-N), nitrite nitrogen (NO2-N), total nitrogen (TN) and total phosphorus (TP). Single factor pollution index and comprehensive pollution index were adopted to explore main water pollutants and evaluate water quality pollution level. Based on two evaluate methods, Geo-statistical analysis and Geographical Information System (GIS) were used to visualize the spatial pollution characteristics and identifying potential polluted risky regions. The results indicated that the general water quality in the watershed has been exposed to various pollutants, in which TP, NO2-N and TN were the main pollutants and seriously exceeded the standard of Category III. The zones of TP, TN, DO, NO2-N and NH3-N pollution covered 99.07%, 62.22%, 59.72%, 37.34% and 13.82% of the watershed respectively, and they were from medium to serious polluted. 83.27% of the watershed in total was polluted by comprehensive pollutants. These conclusions may provide useful and effective information for watershed water pollution control and management.
流域尺度的水质评估不仅需要调查水污染情况并识别主要污染因子,还需要确定导致周边河段污染的污染风险区域。为实现这一目标,我们采用网格地理信息系统(Grid GIS)方法,在中国红河 流域的67个采样点采集水样,分析溶解氧(DO)、氨氮(NH₃-N)、硝态氮(NO₃-N)、亚硝态氮(NO₂-N)、总氮(TN)和总磷(TP)这六个参数。采用单因子污染指数和综合污染指数来探究主要水污染物并评估水质污染水平。基于这两种评估方法,运用地统计分析和地理信息系统(GIS)来可视化空间污染特征并识别潜在的污染风险区域。结果表明,该流域的总体水质已受到多种污染物的影响,其中总磷、亚硝态氮和总氮是主要污染物,严重超标Ⅲ类标准。总磷、总氮、溶解氧、亚硝态氮和氨氮的污染区域分别占流域面积的99.07%、62.22%、59.72%、37.34%和13.82%,污染程度从中度到重度。流域总面积的83.27%受到综合污染物的污染。这些结论可为流域水污染控制和管理提供有用且有效的信息。