论文标题
使用遥感数据来识别印度的空气污染特征
Use of Remote Sensing Data to Identify Air Pollution Signatures in India
论文作者
论文摘要
空气质量对一个国家的社会经济地位有重大影响，并确定主要的空气污染来源是解决该问题的核心。在空间和时间分布的空气质量数据获取范围内，印度的各种各样的挑战是这种分析的挑战。 Sentinel-5P卫星的发射有助于观察到比以前在全球范围内衡量的多种空气污染物。在本章中，从Sentinel-5p卫星检索到的时空多污染物数据用于群集状态以及印度的地区以及相关的平均每月污染签名以及每个集群所描绘的平均每月污染签名和趋势。都可以使用污染物的污染物来识别群集的签名，以识别国家和地区的污染物。
Air quality has major impact on a country's socio-economic position and identifying major air pollution sources is at the heart of tackling the issue. Spatially and temporally distributed air quality data acquisition across a country as varied as India has been a challenge to such analysis. The launch of the Sentinel-5P satellite has helped in the observation of a wider variety of air pollutants than measured before at a global scale on a daily basis. In this chapter, spatio-temporal multi pollutant data retrieved from Sentinel-5P satellite is used to cluster states as well as districts in India and associated average monthly pollution signature and trends depicted by each of the clusters are derived and presented.The clustering signatures can be used to identify states and districts based on the types of pollutants emitted by various pollution sources.
