A model for particulate matter (PM2.5) prediction for Delhi based on machine learning approaches
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference23 articles.
1. Urban Roadside Monitoring, Modeling and Mapping of Air Pollution.;Masood;Applied Journal of Environmental Engineering Science;,2018
2. Tracking ambient PM2. 5 build-up in Delhi national capital region during the dry season over 15 years using a high-resolution (1 km) satellite aerosol dataset.;Chowdhury;Atmospheric Environment,2019
3. Multi-pollutant exposure profiles associated with term low birth weight in Los Angeles County.;Coker;Environment international,2016
4. Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the American Heart Association.;Brook;Circulation,2010
5. Toxicological and epidemiological studies of cardiovascular effects of ambient air fine particulate matter (PM2. 5) and its chemical components: coherence and public health implications.;Lippmann;Critical reviews in toxicology,2014
Cited by 62 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. A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing;Engineering Applications of Artificial Intelligence;2024-10
2. Comparative analysis of machine learning models for predicting PM2.5 concentrations using meteorological and chemical indicators;Journal of Atmospheric and Solar-Terrestrial Physics;2024-10
3. Assessing Statistical Models for Predictive Accuracy of PM2.5 Pollution in Delhi, India;REST Journal on Data Analytics and Artificial Intelligence;2024-09-05
4. Transforming air pollution management in India with AI and machine learning technologies;Scientific Reports;2024-09-02
5. Machine Learning Based PM 2.5 and 10 Concentration Modeling for Delhi City;Journal of the Indian Society of Remote Sensing;2024-08-24
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