通过高空间时间分辨率传感器网络识别工业园区的VOC排放热点
Xiaocan Bai1, Yuhan Huang1, Yanhui Wang1
1School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, PR China.
Environment international
|June 28, 2025
概括
高密度挥发性有机化合物 (VOC) 传感器网络有效地确定了工业园区的污染源. 这项技术可以精确识别高排放工厂,以更好地管理污染.
科学领域:
- 环境科学 环境科学
- 大气化学 大气化学
- 工业生态学 工业生态学
背景情况:
- 工业活动是挥发性有机化合物 (VOC) 污染的主要来源.
- 准确及时识别高排放工业设施对于有效的污染控制至关重要.
- 现有的监测方法在确定工业园区内的特定污染源方面面临挑战.
研究的目的:
- 部署和评估高密度的VOC传感器网络,以实时监测污染.
- 描述VOC污染水平并确定不同工业环境中的排放来源.
- 评估传感器网络在识别主要污染工厂方面的有效性.
主要方法:
- 在一个包装印刷工业园区,一个精细化学工业园区和一个城市地区部署了三个高密度的VOC传感器网络.
- 分析每小时平均VOC度和污染特征.
- 将VOC度轮图与气象数据相结合.
- 确定污染工厂的验证,使用下风追踪VOC物种通过气体染色体质谱学.
主要成果:
- 包装印刷和精细化学工业园区的VOC度明显高 (分别为1.62-2.75和1.27-1.70倍),而不是城市地区.
- 这些工业园区的污染水平超过了其他工业区报告的污染水平,原因是排放因子或排放流量较高.
- 通过将传感器数据与气象信息相结合,在两个工业园区成功识别了主要污染工厂,并通过物种追踪进行了验证.
结论:
- 高密度的VOC传感器网络为实时监测VOC变化的有效工具.
- 这项技术可以在各种工业环境中精确识别高污染工厂.
- 这些发现为精细的VOC污染排放控制和管理策略提供了宝贵的见解.
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