摘要
针对目前小尺度大气扩散模型欠缺和油气田站点挥发性有机物(VOCs)大气污染特点,文章基于空间分析方法和高斯烟羽模型,开发了多物种、多排放方式的小尺度反应性大气扩散模型体系,分别为点源无化学反应、点源有化学反应、面源无化学反应、面源有化学反应四种模型;并选用SharpDev项目开发框架进行系统搭建,Python语言开发后台计算过程,使其能根据用户输入参数自动计算油气田站点源及面源污染扩散情况、并完成可视化展示,该软件系统的开发和应用为类似油气田站点大气污染物扩散、迁移和预判提供了方法基础。
In view of the absence of small-scale atmospheric diffusion models and the characteristics of volatile organic compounds(VOCs)pollution in oil and gas fields,this paper developed a multi-species and multi-emission small-scale reactive atmospheric diffusion model system based on spatial analysis method and Gaussian plume model,which includes four models:point source without chemical reaction,point source with chemical reaction,non-point source without chemical reaction and non-point source with chemical reaction.The SharpDev project development framework is used to build the system,and Python language is used to develop the background calculation process,so that it can automatically calculate the pollution diffusion situation of oil and gas field station source and non-point source according to the user input parameters,and complete the visual display.The development and application of this software system provides a method basis for the diffusion,migration and prediction of air pollutants in similar oil and gas fields.
作者
刘菊会
李朝松
卓琴
何晨
刘超
Liu Juhui;Li Chaosong;Zhuo Qin;He Chen;Liu Chao(Technical Monitoring Center of PetroChina Changqing Oilfield Company)
出处
《油气田环境保护》
CAS
2024年第3期23-27,共5页
Environmental Protection of Oil & Gas Fields
关键词
VOCS
大气扩散模拟
地理信息系统
小尺度
VOCs
atmospheric diffusion simulation
geographic information system
small scale
