Storm runoff differentially influences the nutrient concentrations and microbial contamination at two distinct beaches in northern China.

Sci Total Environ

Center for Marine Environmental Ecology, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China. Electronic address:

Published: May 2019

AI Article Synopsis

  • Coastal development and vegetation loss in Chinese cities increase storm runoff, necessitating insights into beach pollution to safeguard health and recreational resources.
  • The study compared two beaches: Dongshan Beach, affected by non-point source pollution from an urban river, and Tiger-Rock Beach, impacted by a storm drain outfall.
  • Results showed storm runoff decreased salinity and chlorophyll a at both beaches while influencing nutrient concentrations differently; E. coli levels dropped at Dongshan Beach, but Vibrio parahaemolyticus rose at both, indicating varied impacts based on environmental conditions.

Article Abstract

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 Chl a post-storm at both the beaches, but only reduced the concentration of dissolved inorganic N at Tiger-Rock Beach. Escherichia coli decreased 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 parahaemolyticus increased at both beaches post-storm, by 155.7% at Dongshan Beach and 136.7% at Tiger-Rock Beach. Regardless of storm impact, both E. coli and V. parahaemolyticus were 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 R > 0.5) to estimate the concentration of E. coli at Dongshan Beach and V. parahaemolyticus at 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.

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http://dx.doi.org/10.1016/j.scitotenv.2019.01.369DOI Listing

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