Storm runoff differentially influences the nutrient concentrations and microbial contamination at two distinct beaches in northern China
Storm runoff differentially influences the nutrient concentrations and microbial contamination at two distinct beaches in northern China
复制标题
暴雨径流对中国北方两个不同海滩的营养物浓度和微生物污染产生不同的影响
DOI：
10.1016/j.scitotenv.2019.01.369
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发表时间：
2019
影响因子：
9.8
通讯作者：
Wang Guangyi
中科院分区：
文献类型：
--
作者：
He Yike;He Yaodong;Sen Biswarup;Li Hao;Li Jiaqian;Zhang Yongfeng;Zhang Jianle;Jiang Sunny C;Wang Guangyi
随着沿海开发的加剧和植被景观的丧失，中国沿海城市暴雨径流量显著增加。为了保护人类健康和宝贵的娱乐资源，有必要对沿海污染进行定量了解。本文研究了暴雨径流对我国北方两个主要海水浴场营养盐和病原微生物的影响。东山海滩位于城市河流入海口附近，主要受非点源污染影响，而沿海海滩虎头岩海滩主要受雨水排放口点源污染影响。暴雨径流显著（P < 0.001）降低了两个海滩的盐度和叶绿素含量，但仅降低了虎头岩海滩的溶解性无机氮含量，东山海滩的大肠杆菌含量降低了68.7%，这可能与风暴流的稀释作用有关。这与风暴径流导致沿海海滩粪便污染增加的说法相矛盾。风暴后两个海滩的副溶血性弧菌增加，东山海滩为155.7%，虎礁海滩为136.7%。不管风暴的影响，两者都是。coliandV.东山海滩的副溶血性弧菌明显高于虎头岩，说明受周围地形的影响。最后，基于环境和微生物参数回归开发的统计模型显示出估计E浓度的预测能力（调整R2> 0.5）。东山海滩和V.在虎岩海滩发现了副溶血性贫血总体而言，研究结果表明，在减弱降雨对洗浴水质中微生物病原体浓度的影响方面，各个海滩具有独特的作用，并为休闲用水管理和公共卫生保护提供了独特的预测模型。
With the escalating coastal development and loss of vegetated landscape, the volume of storm runoff increases significantly in Chinese coastal cities. To protect human health and valuable recreational resources, it is necessary to develop a quantitative understanding of coastal pollution. Here we studied the influence of storm runoff on the nutrients and microbial pathogens at two popular bathing beaches in northern China. Dongshan Beach, located near the mouth of an urban river, is influenced by non-point source pollution while Tiger-Rock Beach, a coastal beach, is primarily influenced by a point source from a storm drain outfall. Storm runoff significantly (P < 0.001) decreased the salinity and Chlapost-storm at both the beaches, but only reduced the concentration of dissolved inorganic N at Tiger-Rock Beach.Escherichia colidecreased by 68.7% at Dongshan Beach, possibly due to the dilution effect of the stormflow, contradicting the notion of elevated fecal contamination in coastal beaches from storm runoff.Vibrio parahaemolyticusincreased at both beaches post-storm, by 155.7% at Dongshan Beach and 136.7% at Tiger-Rock Beach. Regardless of storm impact, bothE. coliandV. parahaemolyticuswere much higher at Dongshan Beach than that at Tiger-Rock, suggesting the influence of different surrounding topographies. Lastly, the statistical models developed based on the environmental and microbial parameters regression showed predictive power (adjusted R2> 0.5) to estimate the concentration ofE. coliat Dongshan Beach andV. parahaemolyticusat Tiger-Rock Beach. Overall, the results suggest the unique role of the individual beaches in attenuating the effect of rainfall on the concentration of microbial pathogens in bathing water quality and provide unique predictive models for recreational water management and public health protection.