State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Water Sci Technol. 2013;67(6):1332-8. doi: 10.2166/wst.2013.007.
The analysis of river pollution and assessment of spatial and temporal variation in hydrochemistry are essential to river water pollution control in the context of rapid economic growth and growing pollution threats in China. In this study, we focused on hydrochemical characteristics of the Luanhe River Basin (China) and evaluation of 12 hydrochemical variables obtained from 32 monitoring stations during 2001-2010. In each study year, the streams were monitored in the three hydrological periods (April, August, and October) to observe differences in the impacts of agricultural activity and rainfall pattern. Multivariate statistical methods were applied to the data set, and the river water hydrochemical characteristics were assessed using the water quality identification index (WQIIM). The results showed that parameters had variable contribution to water quality status in different months except for ammonia nitrogen (NH4-N) and total nitrogen (TN), which were the most important parameters in contributing to water quality variations for all three periods. Results of WQIIM revealed that 18 sites were classified as 'meeting standard' while the other 14 sites were classified as 'not meeting standard', with most of the seriously polluted sites located in urban area, mainly due to discharge of wastewater from domestic and industrial sources. Sites with low pollution level were located primarily in smaller tributaries, whereas sites of medium and high pollution levels were in the main river channel and the larger tributaries. Our findings provide valuable information and guidance for water pollution control and water resource management in the Luanhe River Basin.
在中国经济快速增长和污染威胁不断加剧的背景下,分析河流污染并评估水化学时空变化对于河流水污染控制至关重要。本研究聚焦于中国滦河流域的水化学特征,评估了 2001-2010 年间 32 个监测站获得的 12 个水化学变量。在每个研究年份中,对三条河流在三个水文期(四月、八月和十月)进行监测,以观察农业活动和降雨模式的影响差异。本研究应用多元统计方法对数据集进行分析,并使用水质识别指数(WQIIM)评估河流水化学特征。结果表明,除氨氮(NH4-N)和总氮(TN)外,参数在不同月份对水质状况的贡献具有变异性,TN 和 NH4-N 是所有三个时期影响水质变化的最重要参数。WQIIM 的结果表明,有 18 个站点被归类为“达标”,而其余 14 个站点被归类为“不达标”,大部分严重污染的站点位于城市地区,主要是由于生活污水和工业废水的排放。污染水平较低的站点主要位于较小的支流,而中高污染水平的站点则位于主河道和较大的支流。本研究结果为滦河流域水污染控制和水资源管理提供了有价值的信息和指导。