School of Environment, Northeast Normal University, Changchun 130024, China.
Int J Environ Res Public Health. 2018 Mar 15;15(3):521. doi: 10.3390/ijerph15030521.
Water environmental risk is the probability of the occurrence of events caused by human activities or the interaction of human activities and natural processes that will damage a water environment. This study proposed a water environmental risk index (WERI) model to assess the water environmental risk in the Yinma River Basin based on hazards, exposure, vulnerability, and regional management ability indicators in a water environment. The data for each indicator were gathered from 2000, 2005, 2010, and 2015 to assess the spatial and temporal variations in water environmental risk using particle swarm optimization and the analytic hierarchy process (PSO-AHP) method. The results showed that the water environmental risk in the Yinma River Basin decreased from 2000 to 2015. The risk level of the water environment was high in Changchun, while the risk levels in Yitong and Yongji were low. The research methods provide information to support future decision making by the risk managers in the Yinma River Basin, which is in a high-risk water environment. Moreover, water environment managers could reduce the risks by adjusting the indicators that affect water environmental risks.
水环境风险是指人类活动或人类活动与自然过程相互作用所引发的事件发生的概率,这些事件可能会破坏水环境。本研究提出了一个水环境风险指数(WERI)模型,该模型基于水环境中的危害、暴露、脆弱性和区域管理能力指标,评估饮马河流域的水环境风险。每个指标的数据均采集自 2000 年、2005 年、2010 年和 2015 年,采用粒子群优化和层次分析法(PSO-AHP)方法评估水环境风险的时空变化。结果表明,饮马河流域的水环境风险从 2000 年到 2015 年逐渐降低。长春市的水环境风险级别较高,而伊通县和永吉县的风险级别较低。本研究提供的方法为饮马河流域的风险管理者提供了决策支持信息,因为该流域处于高风险的水环境中。此外,水环境管理者可以通过调整影响水环境风险的指标来降低风险。