Zobrazeno 1 - 10
of 234
pro vyhledávání: '"air quality forecast"'
Publikováno v:
IEEE Access, Vol 12, Pp 132038-132055 (2024)
Efficient and accurate air quality forecasting contributes significantly to environmental governance, health promotion, and the development of smart cities. However, few existing models can achieve multi-scale feature fusion and long sequence time se
Externí odkaz:
https://doaj.org/article/4d3196952bd645c5909b6725faa3ed07
Autor:
Seoyeon Kim, Jinseok Kim, Hyejung Hu, Meongdo Jang, Jae-Bum Lee, Sung Chul Hong, Okgil Kim, Jung-Hun Woo
Publikováno v:
Asian Journal of Atmospheric Environment, Vol 17, Iss 1, Pp 1-14 (2023)
Abstract Using updated emission inventories can enhance the accuracy of air quality forecast models. Given China’s rapid economic growth and Korea’s geographical and meteorological position on the windward side of China, updating China’s emissi
Externí odkaz:
https://doaj.org/article/cbb6952d5d2248679c7b8eb12c252115
Autor:
Deying Wang, Jizhi Wang, Yuanqin Yang, Wenxing Jia, Junting Zhong, Yaqiang Wang, Xiaoye Zhang
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
This study focused on weather and environmental numerical prediction and public demand. It expanded the concept and technology growth points in new fields in terms of new tasks for major prediction services for “large-scale public events.” This i
Externí odkaz:
https://doaj.org/article/2b0b68754bd9412cb7ff75c64d0c9db6
Akademický článek
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Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data
Autor:
S. Saminathan, C. Malathy
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Air pollution is a serious challenge to humankind as it poses many health threats. It can be measured using the air quality index (AQI). Air pollution is the result of contamination of both outdoor and indoor environments. The AQI is being monitored
Externí odkaz:
https://doaj.org/article/dcb60faeeda44fb2b7e048ec3bc56f72
Publikováno v:
Journal of Innovation & Knowledge, Vol 8, Iss 2, Pp 100294- (2023)
This work dissects the application of big data and artificial intelligence (AI) technology in environmental protection monitoring. The application principle of big data in environmental data collection is analysed based on atmospheric science and AI
Externí odkaz:
https://doaj.org/article/f87d3b4b0c5748a490676c2c3994ab7e
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Air pollution is an issue across the world. It not only directly affects the environment and human health, but also influences the regional and even global climate by changing the atmospheric radiation budget, resulting in extensive and serious adver
Externí odkaz:
https://doaj.org/article/bfd58cb86c44492b9a82092d3d0834f6
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/5ea14808b5c143cbab12bf163ee8f46f
Publikováno v:
Atmosphere, Vol 14, Iss 2, p 393 (2023)
Accurate assessments of exposure to urban air pollution with higher traffic emissions and its health risks still face several challenges, such as intensive computation of air pollution modeling and the limited availability of personal activity data.
Externí odkaz:
https://doaj.org/article/3cf10bf7429f4246b63ea4477370af90
Akademický článek
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