Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Guangqiu Huang"'
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 257, Iss , Pp 114960- (2023)
Ozone (O3) pollution in the atmosphere is getting worse in many cities. In order to improve the accuracy of O3 prediction and obtain the spatial distribution of O3 concentration over a continuous period of time, this paper proposes a VAR-XGBoost mode
Externí odkaz:
https://doaj.org/article/159c6c43924e4a1b9c409633580ea075
Publikováno v:
Systems, Vol 10, Iss 6, p 263 (2022)
With the economic development in China, haze risks are frequent. It is important to study the urban haze risk assessment to manage the haze disaster. The haze risk assessment indexes of 11 cities in Fenwei Plain were selected from three aspects: the
Externí odkaz:
https://doaj.org/article/e79a8d3d388d44f5b1fbf9a70b5b5487
Publikováno v:
Buildings, Vol 12, Iss 10, p 1661 (2022)
Emissions of volatile organic compounds (VOCs) from the building industry in China are increasing. Predicting future trends in China’s building industry VOCs will help the implementation of China’s construction VOCs emission reduction policy. The
Externí odkaz:
https://doaj.org/article/8d8c181851c0438eba82c4c5c12ffc13
Publikováno v:
Atmosphere, Vol 13, Iss 3, p 483 (2022)
As VOCs pose a threat to human health, it is important to accurately capture changes in VOCs concentrations and sense VOCs concentrations in relevant areas. Therefore, it is necessary to improve the accuracy of VOCs concentration prediction and reali
Externí odkaz:
https://doaj.org/article/1b1e798be81a44619261e1a63cf256e9
Publikováno v:
Atmosphere, Vol 12, Iss 12, p 1626 (2021)
Air pollution has become a serious problem threatening human health. Effective prediction models can help reduce the adverse effects of air pollutants. Accurate predictions of air pollutant concentration can provide a scientific basis for air polluti
Externí odkaz:
https://doaj.org/article/1289deefd1e543358d158c133e60579c
Autor:
Chao, Bian1,2 (AUTHOR) 15526387@qq.com, Guangqiu, Huang1 (AUTHOR) bianjingyuan568@163.com
Publikováno v:
Scientific Reports. 10/18/2024, Vol. 14 Issue 1, p1-28. 28p.
Publikováno v:
Environmental Science and Pollution Research. 30:5103-5125
As air pollution worsens, the fast prediction of air pollutant concentration becomes increasingly important for public health. This paper proposes a new cross-domain prediction model of air pollutant concentration based on federated learning (FL), di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6301a10bb068ce3806658a81a97fbc31
https://doi.org/10.1007/s11356-022-22454-6
https://doi.org/10.1007/s11356-022-22454-6
Autor:
Yi Zhang, Guangqiu Huang
Publikováno v:
Environmental Science and Pollution Research. 29:79388-79412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bd734716f6994e164d590a4e9a25165
https://doi.org/10.1007/s11356-022-21335-2
https://doi.org/10.1007/s11356-022-21335-2
Publikováno v:
Environmental Science and Pollution Research. 29:55003-55025
In the process of exploiting mineral resources, dust enters the environment through air suspended particles and surface runoff, which has a serious impact on the atmospheric environment and human health. From all-year and seasonal scenarios, the migr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95ca71973eb6bbbb878dc74a9511c198
https://doi.org/10.1007/s11356-022-19706-w
https://doi.org/10.1007/s11356-022-19706-w
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 10; Pages: 6292
Fine particulate matter (PM2.5) has a continuing impact on the environment, climate change and human health. In order to improve the accuracy of PM2.5 estimation and obtain a continuous spatial distribution of PM2.5 concentration, this paper proposes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55764d7c9c2808db9c67f8728c33bd39