Implementation of a GEOAI model to assess the impact of agricultural land on the spatial distribution of PM2.5 concentration-Reference-Cited by-同舟云学术

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Implementation of a GEOAI model to assess the impact of agricultural land on the spatial distribution of PM2.5 concentration

Published:2024-03 Issue: Volume:352 Page:141438
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Gianquintieri Lorenzo^ORCID,Oxoli Daniele^ORCID,Caiani Enrico Gianluca^ORCID,Brovelli Maria Antonia

Funder

Fondazione Cariplo

Publisher

Elsevier BV

Reference33 articles.

1. Predicting daily PM2.5 exposure with spatially invariant accuracy using Co-existing pollutant concentrations as predictors;Araki;Atmosphere,2022

2. The Global Health Cost of PM2.5 Air Pollution: A Case for Action beyond 2021;Awe,2022

3. The role of biomass burning agricultural emissions in the indo-gangetic plains on the air quality in New Delhi, India;Bray;Atmospher. Environ.,2019

4. Influence of land use and meteorological factors on PM2.5 and PM10 concentrations in Bangkok, Thailand;Cheewinsiriwat;Sustainability,2022

5. The need for ammonia abatement with respect to secondary PM reductions in Europe;Erisman;Environ. Pollut.,2004

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Spatial–Temporal Patterns of Air Pollution Concentration and Their Relationship with Land Use;Atmosphere;2024-06-09

2. State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods;Environment, Development and Sustainability;2024-04-02

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