Huang L - Search Results

1

Mimicking atmospheric photochemical modelling with a deep neural network.

Xing J, Zheng S, Li S, Huang L, Wang X, Kelly JT, Wang S, Liu C, Jang C, Zhu Y, Zhang J, Bian J, Liu TY, Hao J. Xing J, et al. Among authors: huang l. Atmos Res. 2022 Jan;265:1-11. doi: 10.1016/j.atmosres.2021.105919. Atmos Res. 2022. PMID: 34857979 Free PMC article.

2

Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions.

Hu J, Huang L, Chen M, Liao H, Zhang H, Wang S, Zhang Q, Ying Q. Hu J, et al. Among authors: huang l. Environ Sci Technol. 2017 Sep 5;51(17):9950-9959. doi: 10.1021/acs.est.7b03193. Epub 2017 Aug 17. Environ Sci Technol. 2017. PMID: 28787143

3

Rapid Inference of Nitrogen Oxide Emissions Based on a Top-Down Method with a Physically Informed Variational Autoencoder.

Xing J, Li S, Zheng S, Liu C, Wang X, Huang L, Song G, He Y, Wang S, Sahu SK, Zhang J, Bian J, Zhu Y, Liu TY, Hao J. Xing J, et al. Among authors: huang l. Environ Sci Technol. 2022 Jul 19;56(14):9903-9914. doi: 10.1021/acs.est.1c08337. Epub 2022 Jul 6. Environ Sci Technol. 2022. PMID: 35793558

4

Improved prediction of hourly PM_2.5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model.

Chen Y, Huang L, Xie X, Liu Z, Hu J. Chen Y, et al. Among authors: huang l. Sci Total Environ. 2024 Feb 20;912:168672. doi: 10.1016/j.scitotenv.2023.168672. Epub 2023 Nov 26. Sci Total Environ. 2024. PMID: 38016563

5

Double high pollution events in the Yangtze River Delta from 2015 to 2019: Characteristics, trends, and meteorological situations.

Qin Y, Li J, Gong K, Wu Z, Chen M, Qin M, Huang L, Hu J. Qin Y, et al. Among authors: huang l. Sci Total Environ. 2021 Oct 20;792:148349. doi: 10.1016/j.scitotenv.2021.148349. Epub 2021 Jun 9. Sci Total Environ. 2021. PMID: 34147813

6

[Synergistic Emission Reduction of Carbon Dioxide and Atmospheric Pollutants Under Different Low-carbon Development Scenarios of the Power Industry in Jiangsu Province].

Xing XW, Huang L, Hu JL. Xing XW, et al. Among authors: huang l. Huan Jing Ke Xue. 2024 Nov 8;45(11):6326-6335. doi: 10.13227/j.hjkx.202311231. Huan Jing Ke Xue. 2024. PMID: 39628222 Chinese.

7

Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China.

Liu T, Wang C, Wang Y, Huang L, Li J, Xie F, Zhang J, Hu J. Liu T, et al. Among authors: huang l. Chemosphere. 2020 Jun;249:126515. doi: 10.1016/j.chemosphere.2020.126515. Epub 2020 Mar 19. Chemosphere. 2020. PMID: 32220684

8

Investigating the PM_2.5 mass concentration growth processes during 2013-2016 in Beijing and Shanghai.

Sun J, Liang M, Shi Z, Shen F, Li J, Huang L, Ge X, Chen Q, Sun Y, Zhang Y, Chang Y, Ji D, Ying Q, Zhang H, Kota SH, Hu J. Sun J, et al. Among authors: huang l. Chemosphere. 2019 Apr;221:452-463. doi: 10.1016/j.chemosphere.2018.12.200. Epub 2019 Jan 4. Chemosphere. 2019. PMID: 30654259

9

Improving the accuracy of O₃ prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China.

Xiong K, Xie X, Mao J, Wang K, Huang L, Li J, Hu J. Xiong K, et al. Among authors: huang l. Environ Pollut. 2023 Feb 15;319:120926. doi: 10.1016/j.envpol.2022.120926. Epub 2022 Dec 21. Environ Pollut. 2023. PMID: 36565912

10

[Elucidating the Impacts of Meteorology and Emission Changes on Concentrations of Major Air Pollutants in Major Cities in the Yangtze River Delta Region Using a Machine Learning De-weather Method].

Fu WX, Huang L, Ding JH, Qin MM, Yu XN, Xie FJ, Hu JL. Fu WX, et al. Among authors: huang l. Huan Jing Ke Xue. 2023 Nov 8;44(11):5879-5888. doi: 10.13227/j.hjkx.202301119. Huan Jing Ke Xue. 2023. PMID: 37973073 Chinese.

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