Forecasting urban PM10 and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF–Chem CO tracer model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Forecasting urban PM10 and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF–Chem CO tracer model

Published:2011-05 Issue:16 Volume:45 Page:2769-2780
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Saide Pablo E.,Carmichael Gregory R.,Spak Scott N.,Gallardo Laura,Osses Axel E.,Mena-Carrasco Marcelo A.,Pagowski Mariusz

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference52 articles.

1. Air Quality Index Guide,2010

2. Overview of the European project FUMAPEX;Baklanov;Atmospheric Chemistry and Physics,2006

3. Integrated systems for forecasting urban meteorology, air pollution and population exposure;Baklanov;Atmospheric Chemistry and Physics,2007

4. Towards improving the simulation of meteorological fields in urban areas through updated/advanced surface fluxes description;Baklanov;Atmospheric Chemistry and Physics,2008

5. Improvement of the Forecast of Air Quality and of the Knowledge of the Local Meteorological Conditions in the Metropolitan Region;Cassmassi,1999

Cited by 189 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. Short-term air pollution prediction using graph convolutional neural networks;Technological Forecasting and Social Change;2024-11

2. A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism;Atmospheric Environment;2024-10

3. A deep learning model incorporating frequency domain information for ultra multi-step air pollutant forecasting: A case study of Shanghai;Atmospheric Pollution Research;2024-10

4. Daily PM2.5 concentration prediction based on variational modal decomposition and deep learning for multi-site temporal and spatial fusion of meteorological factors;Environmental Monitoring and Assessment;2024-08-29

5. Forecasting daily PM2.5 concentrations in Wuhan with a spatial-autocorrelation-based long short-term memory model;Atmospheric Environment;2024-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3