摘要
为优化城市人群密集区的大气环境风险评价工作,本文以石化企业为例,探究网格化方法在城市人群密集区开展大气环境风险评价的可行性和合理性。研究结果表明,网格化方法可显著简化关心点选取的工作量。在最不利气象条件下,大气毒性终点浓度-1和-2的影响范围最大分别为0 m、2005.6 m,有毒有害物质浓度最大为138.93 mg m^(3),持续时间为3578 s,伤害概率最大为1.18×10^(-10)次a;在最常见气象条件下,大气毒性终点浓度-1和-2的影响范围最大分别为0 m、1203.97 m,有毒有害物质浓度最大为170.32 mg m^(3),持续时间为3593 s,伤害概率最大为4.86×10^(-10)次a。整体来看,风险事故发生概率极低。预测结果符合《建设项目环境风险评价技术导则》(HJ 169—2018)的要求,表明网格化方法在城市人群密集区大气环境风险评价中具有较高的应用价值,可为相关研究和实践提供借鉴。
To optimize the risk assessment of atmospheric environment in densely populated urban areas,this article takes petrochemical enterprises as an example to explore the feasibility and rationality of using grid method to carry out atmospheric environment risk assessment in densely populated urban areas.The results show that the grid method can significantly simplify the work of selecting points of concern.Under the most unfavorable meteorological conditions,the maximum influence range of atmospheric toxicity endpoint concentrations -1 and -2 is 0 m and 2005.6 m respectively,the maximum concentration of toxic and harmful substances is 138.93 mg m^(3),the duration is 3578 s,and the maximum damage probability is 1.18×10^(-10) times a;under the most common meteorological conditions,the maximum influence range of atmospheric toxicity endpoint concentrations -1 and -2 is 0 m and 1203.97 m respectively,the maximum concentration of toxic and harmful substances is 170.32 mg m^(3),the duration is 3593 s,and the maximum damage probability is 4.86×10^(-10) times a.Overall,the probability of risk accidents is extremely low.The predicted results meet the requirements of the Technical Guidelines for Environmental Risk Assessment of Construction Projects(HJ 169-2018),and this method can provide reference for conducting atmospheric environmental risk assessment in densely populated urban areas.
作者
李丰江
魏永鹏
落义明
陈敏
潘峰
LI Fengjiang;WEI Yongpeng;LUO Yiming;CHEN Min;PAN Feng(School of Atmospheric Sciences,Lanzhou University,Lanzhou 730000,China)
出处
《环境影响评价》
2025年第2期54-59,共6页
Environmental Impact Assessment
基金
甘肃省技术开发项目(LZSH-2024-JS-31)
兰州大学技术服务项目(GWHT20240026223)。
