区域空气质量管理:在东部IGP地区采用数据驱动的空气分流方法
P C Anandh1, Sachchida Nand Tripathi2, Nimit Godhani1
1Centre for Excellence-Advanced Technologies for Monitoring Air-quality iNdicators, National Aerosol Facility, Indian Institute of Technology Kanpur, Kanpur 208016, India.
Environmental science & technology
|November 25, 2025
概括
印度的清洁空气需要农村监测. 该AMRIT项目使用低成本传感器识别了比哈尔的五个空气区域,在90%的时间里揭示了不健康的PM2.5水平.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 大气化学 大气化学
背景情况:
- 确保印度所有人的清洁空气至关重要,但目前的监测和管理以城市为中心.
- 空气质量状况和农村地区的综合战略缺乏.
- 印度河平原 (IGP) 面临着严重的空气污染挑战.
研究的目的:
- 解决印度农村空气质量监测和管理方面的研究缺口.
- 实施农村地区使用土著技术 (AMRIT) 的环境空气质量监测项目.
- 为有效的空气质量管理划定数据驱动的空气流域.
主要方法:
- 在比哈尔的所有街区部署了538个低成本传感器 (LCS) 节点.
- 利用数据驱动的机器学习技术来划定空域.
- 监控的细颗粒物 (PM2.5) 污染.
主要成果:
- 在比哈尔省内确定了五个不同的空降区.
- 甘河以北的空降基地更为普遍 (南部有3个对2个).
- 西北地区的空气分流1显示了特别高的污染水平.
- 在季风后和冬季,PM2.5水平超过了国家标准的两到三倍.
- 在所有空气流域中,大约90%的天气质量记录不良.
结论:
- 已识别的空气对于比哈尔的有针对性的空气污染减少策略至关重要.
- 这些空气分流区将支持制定管理PM2.5污染的包容性政策.
- 阿米里特项目为改善印度农村空气质量管理提供了一个框架.
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