从点源到土壤的大气化学物质的空间特定流量估计
Xinyue Chen1, Meie Wang2, Tian Xie2
1State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Environmental pollution (Barking, Essex : 1987)
|March 21, 2024
概括
这项研究结合了CALPUFF和质量平衡模型,以准确预测工业化学物质流入土壤的情况. 这种创新方法量化了工业点源的多环芳 (PAH) 贡献,揭示了重要的区域影响.
科学领域:
- 环境科学 环境科学
- 大气化学 大气化学
- 地质化学 地质化学
背景情况:
- 由于空间异质性和量化不确定性,从工业来源到土壤的区域化学流量预测具有挑战性.
- 多环芳 (PAH) 是来自工业活动的重要污染物,影响土壤生态系统.
- 准确评估工业点源对土壤污染的贡献,对于环境管理至关重要.
研究的目的:
- 开发和验证一种创新的方法,用于准确预测从工业点源到土壤的区域化学流量.
- 量化工业点源对土壤多环芳 (PAH) 污染的贡献.
- 结合大气分散建模和质量平衡方法的优势,以改进流量估计.
主要方法:
- 整合加州空气资源委员会 (CALPUFF) 对PAHs在大气中的分散模型.
- 应用一个质量平衡模型,结合神经网络衍生的PAHs流动的空间分布系数.
- 在中国江省的一个石化地区进行的案例研究,以验证组合模型的有效性.
主要成果:
- 组合模型有效估计了工业对土壤PAHs的贡献,点源贡献了49%-89%的Phenanthrene (Phe) 和65%-100%的甲 (BaP).
- 对于Phe和BaP流的CALPUFF预测通常低于质量平衡模型的结果,表明不同的空间分布模式.
- 通过沉积从点源的平均Phe流量为2.68毫克m−2∙a−1 (约. 60%的总量),而BaP流量为0.0755毫克m−2·a−1 (0.1%-3.65%的总量).
结论:
- 综合的CALPUFF和质量平衡方法成功地解决了从工业点源到土壤的区域化学流量量化的挑战.
- 工业点源在区域土壤中PAH污染中发挥着重要作用,特别是对于Phenanthrene.
- 这种方法提高了沉积量化的准确性,并澄清了特定工业来源与土壤化学流量的相关性.
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