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Akademický článek

Remote Sensing Fine Estimation Model of PM2.5 Concentration Based on Improved Long Short-Term Memory Network: A Case Study on Beijing–Tianjin–Hebei Urban Agglomeration in China

Autor: Yiye Ji, Yanjun Wang, Cheng Wang, Xuchao Tang, Mengru Song

Publikováno v: Remote Sensing, Vol 16, Iss 22, p 4306 (2024)

The accurate prediction of PM2.5 concentration across extensive temporal and spatial scales is essential for air pollution control and safeguarding public health. To address the challenges of the uneven coverage and limited number of traditional PM2.

Externí odkaz: https://doaj.org/article/d201f68d3b204d67a092e33fde1e1500

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Akademický článek

Estimating PM2.5 concentrations in a central region of China using a three-stage model

Autor: Yue Jing, Long Pan, Yanling Sun

Publikováno v: International Journal of Digital Earth, Vol 16, Iss 1, Pp 578-592 (2023)

Owing to uneven environmental monitoring site distribution, there are significant spatial data gaps for concentrations of ambient fine particles with diameters ≤ 2.5 µm (PM2.5) obtained using traditional monitoring methods. Satellite products are

Externí odkaz: https://doaj.org/article/9f916660def147589db329b9c9ad7f02

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Akademický článek

Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions

Autor: Liang, Lu ^{a, ∗}, Daniels, Jacob ^b, Bailey, Colleen ^b, Hu, Leiqiu ^c, Phillips, Ronney ^a, South, John ^a

Publikováno v: In Environmental Pollution 15 August 2023 331 Part 1

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Akademický článek

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Akademický článek

Time Series Simulation and Forecasting of Air Quality Using In-situ and Satellite-Based Observations Over an Urban Region

Autor: A. Choudhary, P. Kumar, S. K. Sahu, C. Pradhan, S. K. Singh, M. Gašparović, A. Shukla and A. K. Singh

Publikováno v: Nature Environment and Pollution Technology, Vol 21, Iss 3, Pp 1137-1148 (2022)

Air quality is directly associated with the health of society. So, it becomes essential to forecast air pollution, which assumes an imperative part in air pollution warnings and control. A time-series simulation approach was adapted for the forecasti

Externí odkaz: https://doaj.org/article/ccceda46a6cc4403bdeb516d94ac9dfe

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