Land use regression models coupled with meteorology to model spatial and temporal variability of NO2 and PM10 in Changsha, China-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Land use regression models coupled with meteorology to model spatial and temporal variability of NO2 and PM10 in Changsha, China

Published:2015-09 Issue: Volume:116 Page:272-280
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Liu Wu,Li Xiaodong,Chen Zuo,Zeng Guangming,León Tomás,Liang Jie,Huang Guohe,Gao Zhihua,Jiao Sheng,He Xiaoxiao,Lai Mingyong

Funder

National Nature Science Foundation of China

Specialized Foundation for the Doctoral Program of Higher Education, China

Young Teacher's Growth Program of Hunan University

Program for Changjiang Scholars and Innovative Research Team in University

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference44 articles.

1. Estimation of outdoor NOx, NO2, and BTEX exposure in a cohort of pregnant women using land use regression modeling;Aguilera;Environ. Sci. Technol.,2008

2. The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies;Arain;Atmos. Environ.,2007

3. Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe – the ESCAPE project;Beelen;Atmos. Environ.,2013

4. Spatial and temporal variability of air pollution in Birmingham, Alabama;Blanchard;Atmos. Environ.,2014

5. Mapping urban air pollution using GIS: a regression-based approach;Briggs;Int. J. Geogr. Inform. Sci.,1997

Cited by 103 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. Optimizing NO2 monitoring network using a background map for spatial heterogeneity stratification;Atmospheric Environment;2024-09

2. Do Machine Learning Methods Improve Prediction of Ambient Air Pollutants with High Spatial Contrast? A Systematic Review;Environmental Research;2024-08

3. Short-Term Associations of Road Density and Road Features with In-Vehicle PM2.5 during Daily Trips in the Washington, D.C. Metro Area;Environments;2024-06-26

4. Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models;Science of The Total Environment;2024-05

5. Time Series Forecasting with Missing Data Using Generative Adversarial Networks and Bayesian Inference;Information;2024-04-15

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