基于AERMOD模型在滇西某产业园区规划环评大气环境影响预测中应用的研究

Application of AERMOD Model in Atmospheric Environmental Impact Prediction for Planning EIA of an Industrial Park in Western Yunnan

  • 摘要: 大气环境影响预测是规划环境影响评价(EIA)中环境承载力评估的核心环节。针对传统单模型预测在复杂地形条件下空间分辨率不足、多源污染扩散模拟精度有限等问题,以滇西某地产业园区规划为案例,构建了"大范围快速筛选-重点区域精细化模拟"的双层级预测体系。研究证实,AERMOD模型耦合高分辨率地形数据的应用框架,可有效解决规划环评中"全域覆盖"与"局部精度"的矛盾,提出的"源-流-汇"协同管控策略为高原山地型工业园区的可持续发展提供了科学依据。

     

    Abstract: Atmospheric environmental impact prediction is a core component of environmental carrying capacity assessment in the planning environmental impact assessment (EIA). Aiming at the problems of insufficient spatial resolution and limited accuracy in simulating multi-source pollution diffusion under complex terrain conditions using traditional single-model predictions, this study takes the planning of an industrial park in western Yunnan as a case to construct a two-tier prediction system of “large-scale rapid screening - refined simulation in key areas”. The study confirms that the application framework of the AERMOD model coupled with high-resolution terrain data can effectively resolve the contradiction between “full-area coverage” and “local accuracy” in the planning EIA. The proposed “source-flow-sink” collaborative control strategy provides a scientific basis for the sustainable development of industrial parks in plateau and mountainous areas.

     

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