Research Center for Hazard Mitigation and Prevention, National Central University, Taoyuan, 32001, Taiwan; Department of Civil Engineering, National Central University, Taoyuan, 32001, Taiwan.
Department of Civil Engineering, National Central University, Taoyuan, 32001, Taiwan.
Environ Res. 2021 Mar;194:110693. doi: 10.1016/j.envres.2020.110693. Epub 2020 Dec 30.
The petrochemical industry produces many air pollutants during production, such as airborne particulate matters (PM and PM), sulfur oxides, nitrogen oxides, volatile organic compounds, carbon oxides, etc. Petrochemical industrial accidents are more likely to cause major air pollution hazards in a short period. Therefore this study simulated diffusion and performed air pollution spatial risk analysis for potential air pollutants generated by the petrochemical industry using meteorological observation data from 2017 to 2019. The study targets were No. 6 Naphtha Cracker Complex Petrochemical Industrial Park (6NCC) of Formosa Petrochemical Corporation and Taichung Thermal Power Plant (TTPP) in central Taiwan. We used the industrial source complex model short term (ISCST3) air simulation model developed by the US Environmental Protection Agency to simulate pollutant diffusion under different weather conditions and seasons. Air pollution spatial risk was investigated for neighboring hospitals and schools for pollutant emission and diffusion to provide feedback to petrochemical related industry's risk management. Emission areas (6NCC and TTPP) were all in the southwest since the main air pollution accumulation and diffusion is to the northeast during monsoon season (October through March). Air pollution April through September each year is more evenly distributed, with pollutant concentrations low in all directions, approximately half the concentration in winter. Simulated air pollutant concentrations often overlapped with high risk population clusters (schools and hospitals). 6NCC posed little impact on nearby schools throughout the year; whereas TTPP posed relatively low risks to nearby schools and hospitals in summer, with slightly higher risk for Shenren Elementary School in Shengang township, Changhua County in winter. Overall 6NCC posed higher risk for Mailiao and Taixi townships in Yunlin County; whereas the TTPP posed higher risk on Longjing District of Taichung City, Shengang and Xianxi townships in Changhua County, particularly during winter. The results of this study will help the petrochemical industry and public health authority to wider manage air pollution risks.
石化工业在生产过程中会产生许多空气污染物,例如空气中的颗粒物(PM 和 PM)、硫氧化物、氮氧化物、挥发性有机化合物、碳氧化物等。石化工业事故更有可能在短时间内造成重大的空气污染危害。因此,本研究利用 2017 年至 2019 年的气象观测数据,模拟扩散过程,并对石化工业潜在空气污染物进行空气污染空间风险分析。研究对象是台湾中部的 Formosa 石化公司的 6 号石脑油裂解石化工业园区(6NCC)和台中火力发电厂(TTPP)。我们使用美国环境保护署开发的工业源综合模型短期(ISCST3)空气模拟模型来模拟不同天气条件和季节下污染物的扩散。对附近的医院和学校进行空气污染空间风险调查,以了解污染物的排放和扩散情况,为石化相关行业的风险管理提供反馈。排放区(6NCC 和 TTPP)均位于西南方向,因为在季风季节(10 月至 3 月),主要的空气污染积聚和扩散方向是东北方向。每年 4 月至 9 月的空气污染分布较为均匀,各个方向的污染物浓度都较低,大约是冬季的一半。模拟的空气污染物浓度经常与高风险人口聚集区(学校和医院)重叠。6NCC 对全年附近的学校影响不大;而 TTPP 对附近的学校和医院夏季的风险相对较低,彰化县伸港乡的神仁国小冬季风险略高。总体而言,6NCC 对云林县麦寮和台西乡的风险较高;而 TTPP 对台中市龙井区、彰化县伸港和线西乡的风险较高,尤其是在冬季。本研究的结果将有助于石化行业和公共卫生当局更广泛地管理空气污染风险。