Meteorological influence on forecasting urban pollutants: Long-term predictability versus extreme events in a spatially heterogeneous urban ecosystem-Reference-Cited by-同舟云学术

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Meteorological influence on forecasting urban pollutants: Long-term predictability versus extreme events in a spatially heterogeneous urban ecosystem

Published:2022-03 Issue: Volume:814 Page:152537
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Ulpiani Giulia,Duhirwe Patrick Nzivugira,Yun Geun Young,Lipson Mathew J.

Funder

Korea Ministry of Environment

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference65 articles.

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2. A Monte Carlo comparison between ridge and;Al-Hassan;Appl. Math. Sci.,2009

3. Multivariate time series forecasting with LSTM for Madrid, Spain pollution;Alhirmizy,2019

4. Correlation between air pollution and weather data in urban areas: assessment of the city of Rome (Italy) as spatially and temporally independent regarding pollutants;Battista;Atmos. Environ.,2017

5. Reconstructing primary and secondary components of PM2.5 composition for an urban atmosphere;Behera;Aerosol Sci. Technol.,2010

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3. Seasonal Characteristics of Forecasting Uncertainties in Surface PM2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region;Advances in Atmospheric Sciences;2024-03-21

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