Inverse distance weight interpolation method for missing data of PM2.5 spatiotemporal series

Inverse distance weight interpolation method for missing data of PM2.5 spatiotemporal series

BackgroundFine particulate matter (PM2.5) monitoring stations may generate missing data for a certain period of time due to various factors. This data loss will adversely affect air quality assessment and pollution control decision-making. ObjectiveTo propose an inverse distance weighted (IDW) spati...

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Bibliographic Details
Main Authors: Yurou LIANG, Hongling WU, Weipeng WANG, Feng CHENG, Ping DUAN
Format: Article
Language:English
Published: Editorial Committee of Journal of Environmental and Occupational Medicine 2025-02-01
Series:环境与职业医学
Subjects:
fine particulate matter
spatiotemporal series
interpolation
inverse distance weighted
particle swarm optimization
Online Access:http://www.jeom.org/article/cn/10.11836/JEOM24236
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