Department of Environment Science and Engineering, Fudan University, Shanghai 200433, China.
Int J Environ Res Public Health. 2020 Sep 2;17(17):6388. doi: 10.3390/ijerph17176388.
Xuzhou is the hub city of the east route of China's South-to-North Water Diversion (SNWD) project and implemented dozens of measures to ensure the water quality security of the water transmission line. In order to detect the effectiveness of water quality improvement measures, the monthly water quality data of five water quality parameters from 2005 to 2015 of six state-controlled monitoring sites in Xuzhou section were selected for analysis. The results showed that the water quality improved from 2.95 in 2005 to 2.74 in 2015, as assessed by the comprehensive water quality identification index (CWQII), and basically reached the Class III standards of China's Environmental Quality Standard for Surface Water (GB3838-2002) from 2011 to 2015. The trend analysis showed that the decline of ammonia nitrogen (NH-N) was the most obvious among the five water quality parameters. However, the concentrations of phosphorus (TP) showed significant upward trends at three sites. The positive abrupt change of time series of water quality occurred in 2009-2011. The identification of influencing factors of water quality changes by multivariate statistical methods found that the urbanization factor accompanied by a decrease in agricultural nonpoint source pollution emissions and the enhancement of wastewater treatment capacity, the closure of factories with substandard emissions and precipitation were the major influencing factors of most water quality parameters, which confirmed the effectiveness of measures for water quality improvement in Xuzhou.
徐州市是中国南水北调东线工程的枢纽城市,采取了数十项措施确保输水管线的水质安全。为了检测水质改善措施的效果,选取了徐州市段 6 个国控监测点 2005 年至 2015 年 5 项水质参数的逐月水质数据进行分析。结果表明,采用综合水质标识指数(CWQII)评价,徐州市的水质从 2005 年的 2.95 改善到 2015 年的 2.74,2011 年至 2015 年基本达到《地表水环境质量标准》(GB3838-2002)的Ⅲ类标准。趋势分析表明,5 项水质参数中氨氮(NH-N)的下降最为明显。然而,有 3 个站点的磷(TP)浓度呈显著上升趋势。2009-2011 年水质时间序列发生了正突跃变化。采用多元统计方法识别水质变化的影响因素发现,城镇化因子伴随着农业非点源污染排放量的减少和污水处理能力的增强,以及超标排放工厂的关闭和降水是大多数水质参数的主要影响因素,这证实了徐州市水质改善措施的有效性。