| 引用本文: | 杨 晨,徐明德,郭 媛.基于MIKE21的汾河水库突发环境事件数值模拟[J].灌溉排水学报,2017,36(11):115-121. |
| YANG Chen,XU Mingde,GUO Yuan.基于MIKE21的汾河水库突发环境事件数值模拟[J].灌溉排水学报,2017,36(11):115-121. |
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| 摘要: |
| 为揭示汾河水库突发环境事件时污染物的迁移扩散规律，识别水库潜在风险源，采用实测数据对二维水动力-水质模型进行率定与验证，并以二甲苯泄漏为例，考虑事件源、浓度、排放入口、风动力因素，设置11种情景模拟污染物的迁移扩散规律。结果表明，污染物初始质量浓度决定汾河水库受污染程度；风动力是影响污染物扩散的关键因素，风向决定污染物扩散路径，风速增加1倍时，污染物扩散速率和超标面积分别增加46.5%和64.2%，风速相同时，西北风比西南风更有利于污染物的扩散；排放口的水量及水流流速也是影响污染物扩散的关键因素，东侧排放口污染物的扩散速率大于西侧入口及北部入口。 |
| 关键词: 水库； 突发环境事件； MIKE21； 数值模拟 |
| DOI：10.13522/j.cnki.ggps.2017.11.019 |
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| Numerical Simulation of Pollutant Migration in Fenhe Reservoir Following an Accident Using the MIKE21 Model |
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YANG Chen， XU Mingde， GUO Yuan
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College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
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| Abstract: |
| We predicted the potential migration and attenuation of pollutants in Fenhe reservoir following an accident using two-dimensional hydrodynamic and chemical transport models. Taking the leakage of xylene as an example, we simulated its movement under 11 scenarios by considering accident source, contaminant concentration, location of the entry to the reservoir, as well as wind speed. The results showed that initial concentration controlled risk of the contaminant, and the wind speed was the key factor controlling the spread of the plume. Wind direction determined the pathway of the pollutant migration. When the wind speed increased from 1.63 m/s to 3.26 m/s, the diffusive rate and the polluted area increased by 46.5% and 64.2% respectively. At the same wind speed, northwest wind affected diffusive rate more significantly than southwest wind. The amount of water and water velocity also impacted pollutant spreading. The diffusive rate when the pollutant entered the reservoir from the east was greater than those entering the reservoir from the west and north. |
| Key words: reservoir; emergent environmental incident; MIKE21; numerical simulation |
