Spatial estimation of urban air pollution with the use of artificial neural network models
Author:
Publisher
Elsevier BV
Subject
Atmospheric Science,General Environmental Science
Reference58 articles.
1. Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks;Abdul-Wahab;Environ. Model. Software,2002
2. Combining principal component regression and artificial neural networks for more accurate predictions of ground-level ozone;Al-Alawi;Environ. Model. Software,2008
3. Development of the models to estimate particulate matter from thermal infrared band of Landsat Enhanced Thematic Mapper;Amanollahi;Int. J. Environ. Sci. Technol.,2013
4. An experimental study of nighttime air-pollutant transport over complex terrain in Athens;Asimakopoulos;Atmos. Environ. Part B - Urban Atmos.,1992
5. Exposure-response functions for health effects of ambient air pollution applicable for China - a meta-analysis;Aunan;Sci. Total Environ.,2004
Cited by 147 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. Modeling the air pollution process using a novel multi-site and multi-scale method with adaptive utilization of spatio-temporal information;Chemosphere;2024-02
2. Effects of street plants on atmospheric particulate dispersion in urban streets: A review;Environmental Reviews;2024-01-29
3. Sparse Grid Imputation Using Unpaired Imprecise Auxiliary Data: Theory and Application to PM2.5 Estimation;ACM Transactions on Knowledge Discovery from Data;2024-01-12
4. Air quality modeling for smart cities of India by nature inspired AI—A sustainable approach;Advances in Computers;2024
5. Prediction of air quality pollutants using artificial intelligence techniques: A review;WOMEN IN PHYSICS: 7th IUPAP International Conference on Women in Physics;2024
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