Chang impact analysis of level 3 COVID-19 alert on air pollution indicators using artificial neural network
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Chang impact analysis of level 3 COVID-19 alert on air pollution indicators using artificial neural network
Authors
Keywords
-
Journal
Ecological Informatics
Volume 69, Issue -, Pages 101674
Publisher
Elsevier BV
Online
2022-05-14
DOI
10.1016/j.ecoinf.2022.101674
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy)
- (2022) Elza Bontempi et al. ENVIRONMENTAL RESEARCH
- PM2.5 and water-soluble inorganic ion concentrations decreased faster in urban than rural areas in China
- (2022) Yangyang Zhang et al. Journal of Environmental Sciences-China
- Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns
- (2021) Zongbo Shi et al. Science Advances
- The effect of COVID-19 pandemic on human mobility and ambient air quality around the world: A systematic review
- (2021) Sasan Faridi et al. Urban Climate
- A machine learning model for predicting PM2.5 and nitrate concentrations based on long-term water-soluble inorganic salts datasets at a road site station
- (2021) Guan-Yu Lin et al. CHEMOSPHERE
- Assessing the change of ambient air quality patterns in Jiangsu Province of China pre-to post-COVID-19
- (2021) Uzair Aslam Bhatti et al. CHEMOSPHERE
- Positive association between outdoor air pollution and the incidence and severity of COVID-19. A review of the recent scientific evidences
- (2021) Montse Marquès et al. ENVIRONMENTAL RESEARCH
- Characterization of temporal PM2.5, nitrate, and sulfate using deep learning techniques
- (2021) Guan-Yu Lin et al. Atmospheric Pollution Research
- Forecasting Air Quality in Taiwan by Using Machine Learning
- (2020) Mike Lee et al. Scientific Reports
- A versatile low-cost sensing device for assessing PM2.5 spatiotemporal variation and quantifying source contribution
- (2020) Shih-Chun Candice Lung et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Deep Learning for Prediction of the Air Quality Response to Emission Changes
- (2020) Jia Xing et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Wintertime Particulate Matter Decrease Buffered by Unfavorable Chemical Processes Despite Emissions Reductions in China
- (2020) Danny M. Leung et al. GEOPHYSICAL RESEARCH LETTERS
- The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil
- (2020) Guilherme Dantas et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Effect of restricted emissions during COVID-19 on air quality in India
- (2020) Shubham Sharma et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Abrupt decline in tropospheric nitrogen dioxide over China after the outbreak of COVID-19
- (2020) Fei Liu et al. Science Advances
- The complex chemical effects of COVID-19 shutdowns on air quality
- (2020) Jesse H. Kroll et al. Nature Chemistry
- Changes in U.S. air pollution during the COVID-19 pandemic
- (2020) Jesse D. Berman et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19
- (2020) Huang Zheng et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Amplified ozone pollution in cities during the COVID-19 lockdown
- (2020) Pierre Sicard et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Improved air quality and associated mortalities in India under COVID-19 lockdown
- (2020) Hasan Raja Naqvi et al. ENVIRONMENTAL POLLUTION
- The COVID-19 pandemic: Impacts on cities and major lessons for urban planning, design, and management
- (2020) Ayyoob Sharifi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Changes in air quality during COVID-19 ‘lockdown’ in the United Kingdom
- (2020) Calvin Jephcote et al. ENVIRONMENTAL POLLUTION
- Assessing the impact of COVID-19 pandemic on urban transportation and air quality in Canada
- (2020) Xuelin Tian et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Ozone source apportionment over the Yangtze River Delta region, China: Investigation of regional transport, sectoral contributions and seasonal differences
- (2019) Li Li et al. ATMOSPHERIC ENVIRONMENT
- Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan
- (2019) Fang-Yi Cheng et al. Scientific Reports
- Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
- (2019) Cong Liu et al. NEW ENGLAND JOURNAL OF MEDICINE
- Significant changes in chemistry of fine particles in wintertime Beijing from 2007 to 2017: Impact of clean air actions
- (2019) Yangmei Zhang et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Predicting PM 10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)
- (2018) Sechan Park et al. JOURNAL OF HAZARDOUS MATERIALS
- Adaptive Deep Learning-based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations
- (2018) Ping-Wei Soh et al. IEEE Access
- Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction
- (2018) Jiachen Zhao et al. CHEMOSPHERE
- Recursive neural network model for analysis and forecast of PM10 and PM2.5
- (2017) Fabio Biancofiore et al. Atmospheric Pollution Research
- Characterizing local traffic contributions to particulate air pollution in street canyons using mobile monitoring techniques
- (2011) Leonard M. Zwack et al. ATMOSPHERIC ENVIRONMENT
- A noticeable shift in particulate matter levels after platform screen door installation in a Korean subway station
- (2011) Ki-Hyun Kim et al. ATMOSPHERIC ENVIRONMENT
- Modeling Spatial Patterns of Traffic-Related Air Pollutants in Complex Urban Terrain
- (2011) Leonard M. Zwack et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Evolution of Organic Aerosols in the Atmosphere
- (2009) J. L. Jimenez et al. SCIENCE
- A study of ground-level ozone pollution, ozone precursors and subtropical meteorological conditions in central Taiwan
- (2007) Dai-Hua Tsai et al. JOURNAL OF ENVIRONMENTAL MONITORING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now