基于Dempster-Shafer证据理论的综合模型开发用于化学园区的污染源分析
XueShan Bai1, YongJie Yang2, XiZhao Tian1
1Hebei Key Laboratory of Environment Monitoring and Protection of Geological Resources, Hebei Geological Environment Monitoring Institute, Shijiazhuang, 050021, China.
Heliyon
|November 29, 2023
概括
本研究引入了一种新的DS证据理论方法,有效地结合多个受体模型的污染源分析结果. 该方法准确地识别化学园区的关键污染源,有助于环境管理.
科学领域:
- 环境科学 环境科学
- 化学工程是化学工程的重要组成部分.
- 数据分析 数据分析
背景情况:
- 污染源分析对于化工园管理至关重要.
- 存在多种受体模型,但选择最好的是一种挑战.
- 现有的模型可以产生无与伦比的结果,缺乏细致性.
研究的目的:
- 介绍一个南方化学园区污染源分析的案例研究.
- 应用DS证据理论方法来结合不同受体模型的结果.
- 在化工园区内识别和量化初级污染源.
主要方法:
- 使用的受体模型:正定矩阵分解,主要成分分析-多重线性回归和Unmix.
- 应用DS证据理论来整合和协调来自单个受体模型的发现.
- 分析了污染物特性和模型与受体之间的差异.
主要成果:
- D-S证据理论模型成功确定了四个主要污染源.
- 金属加工行业 (45.73%) 是一个主要的污染源,污染物包括Cr,Ni,Zn,Cr,VI和Cu.
- 电子制造 (25.12%),化学剂生产 (15.62%) 和基于石油的材料 (13.53%) 是其他重要的来源.
结论:
- D-S证据理论方法有效地解决了个体受体模型的局限性.
- 这种综合方法提供了更全面,更准确的污染源分析.
- 这些发现为化学园区的环境管理和政策制定提供了宝贵的见解.
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