Che Rui, Lin Shu, Fan Zhong-Ya, Li Wen-Jing, Zeng Fan-Tang, Mao Ben-Jian, Shi Lei, Huang Zhi-Wei
School of Environment, Jinan University, Guangzhou 510632, China.
National Key Laboratory of Water Environment Simulation and Pollution Control, Guangdong Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510535, China.
Huan Jing Ke Xue. 2019 Oct 8;40(10):4440-4449. doi: 10.13227/j.hjkx.201902042.
In order to research the impact of continuous extreme rainfall on the water quality of the Dongjiang River, which is a drinking water source, the characteristics of extreme rainfall events in the basin were analyzed for last 38 years. The impacts of these events on water quality are discussed by considering both hydrological data and water quality data. Using SWAT2012 software, a high-precision basin model was established for the flux of major pollutants during extreme rainfall and water quality. The results indicate that there were 173 extreme rainfall events in the Dongjiang River basin over the past 38 years. The annual frequency of extreme rainfall events in high-flow years was higher than in other years. During the year, rainfall was mainly affected by climate, particularly from March to September (80%), with the peak rainfall usually occurring in June. Spatially, the Zengcheng-Bolo-Huizhou-Longmen area had the highest frequency of extreme events. During the study period, rainfall was significantly positively correlated with the concentrations of cyanide, Pb, Fe, Mn, TP, and with turbidity, and the correlation coefficients for the concentrations of TP and turbidity with rainfall were relatively high. Rainfall was significantly negatively correlated with pH, conductivity, the concentration of Zn, as well as some other indicators. These observations show that water quality is affected by rainfall to some extent. Turbidity, TN, ammonia nitrogen, and TP concentrations all showed increasing trends, to different degrees, during rainstorm runoff periods. Turbidity and TP concentrations showed a significant and consistent relationship with flow rate, peaking earlier than the flow rate peak (by approximately 1 d), showing a significant initial flushing effect. The pH curve showed an opposite trend to the flow rate, forming a "V" shape, which may be affected by the rainfall, soil acidity, and confluence conditions in the upstream mountains. Ammonia nitrogen was subject to initial flushing in the early stages of extreme rainfall but was diluted by the clean rainwater; initially, ammonia nitrogen showed high values that declined during the middle and late stages. The variations in pollutant loads were consistent with that of runoff flux, and the peaks in TN, ammonia nitrogen, and TP flux appeared later than the flow peak (by approximately 1 d), thus differing from the pollutant concentration peak. The pollutant load mainly showed a significant increase during storm runoff periods. The proportion of pollutant COD, ammonia nitrogen, and TP transported by 59.48% of the runoff reached 68.42%, 54.68%, and 70.20%, respectively, demonstrating the characteristics of rapid and high-impact pollutant loads. These characteristics have a great influence on the quality of Dongjiang River drinking water and it is suggested that initial rainwater treatment should be strengthened to reduce the negative impact of rainstorm runoff periods on water quality.
为研究持续极端降雨对作为饮用水源的东江水质的影响,分析了该流域近38年极端降雨事件的特征。通过综合考虑水文数据和水质数据,探讨了这些事件对水质的影响。利用SWAT2012软件,建立了高精度流域模型,用于模拟极端降雨期间主要污染物通量和水质情况。结果表明,东江流域在过去38年中有173次极端降雨事件。高流量年份极端降雨事件的年发生频率高于其他年份。一年中,降雨主要受气候影响,尤其是3月至9月(占80%),降雨峰值通常出现在6月。在空间上,增城—博罗—惠州—龙门地区极端事件发生频率最高。研究期间,降雨与氰化物、铅、铁、锰、总磷浓度以及浊度呈显著正相关,总磷浓度和浊度与降雨的相关系数相对较高。降雨与pH值、电导率、锌浓度以及其他一些指标呈显著负相关。这些观测结果表明,水质在一定程度上受降雨影响。在暴雨径流期间,浊度、总氮、氨氮和总磷浓度均不同程度地呈现上升趋势。浊度和总磷浓度与流量呈现显著且一致的关系,峰值出现时间早于流量峰值(约提前1天),呈现出显著的初期冲刷效应。pH值曲线与流量呈现相反趋势,形成“V”形,这可能受到上游山区降雨、土壤酸度和汇流条件的影响。氨氮在极端降雨初期受到初期冲刷,但被清洁雨水稀释;初期氨氮值较高,在中后期下降。污染物负荷变化与径流通量一致,总氮、氨氮和总磷通量峰值出现时间晚于流量峰值(约1天),因此与污染物浓度峰值不同。污染物负荷在暴雨径流期间主要呈现显著增加。59.48%的径流输送污染物化学需氧量、氨氮和总磷的比例分别达到68.42%、54.68%和70.20%,体现出污染物负荷快速且影响大的特点。这些特征对东江饮用水水质有很大影响,建议加强初期雨水处理,以减少暴雨径流期对水质的负面影响。