Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Shengwen, Liang"'
Autor:
Yafei Li, Lu Yao, Jingyi Yang, Jianhui Wu, Xiao Tang, Shengwen Liang, Yufen Zhang, Yinchang Feng
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 278, Iss , Pp 116354- (2024)
After the resumption of work and production following the COVID-19 pandemic, many cities entered a “transition phase”, characterized by the gradual recovery of emission levels from various sources. Although the overall PM2.5 emission trends have
Externí odkaz:
https://doaj.org/article/d453e5501013478db9ce3c95054e08a7
Autor:
Hui Liu, Baoyin He, Yadong Zhou, Xiaoqin Yang, Xiaoyang Zhang, Fei Xiao, Qi Feng, Shengwen Liang, Xinmeng Zhou, Congju Fu
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 5, Pp 776-798 (2021)
Eutrophication is the leading cause of freshwater impairment. Of China’s major cities, Wuhan has the largest coverage of the lake area, while lake eutrophication is increasing. Thus, the objective of this study was to monitor and assess lake eutrop
Externí odkaz:
https://doaj.org/article/bad55621476f4a9ca643eedfa20b736f
Autor:
Yadong Zhou, Baoyin He, Congju Fu, Claudia Giardino, Mariano Bresciani, Hui Liu, Qi Feng, Fei Xiao, Xinmeng Zhou, Shengwen Liang
Publikováno v:
European Journal of Remote Sensing, Vol 54, Iss 1, Pp 461-475 (2021)
With the rapid development of economy, many lakes in Wuhan have been polluted to different degrees and suffer from eutrophication. The main objective of this study was to conduct the monthly trophic state assessments of waters in Wuhan from March 201
Externí odkaz:
https://doaj.org/article/9d28d7be90e243a38832a906ac7e8b71
Autor:
Jiaqiang Liao, Bin Zhang, Wei Xia, Zhongqiang Cao, Yimin Zhang, Shengwen Liang, Ke Hu, Shunqing Xu, Yuanyuan Li
Publikováno v:
Environment International, Vol 128, Iss , Pp 70-76 (2019)
Background: A few studies reported that exposure to high levels of residential surrounding green spaces was associated with better cognitive development in primary school children. However, no studies have been conducted to examine such association i
Externí odkaz:
https://doaj.org/article/d59f4cd34cc04ebe88dd20764754b266
Publikováno v:
CCF Transactions on High Performance Computing. 4:302-320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5f0b772b0b02d17644b2bd37ac7bb23
https://doi.org/10.1007/s42514-022-00103-1
https://doi.org/10.1007/s42514-022-00103-1
Publikováno v:
IEEE Transactions on Computers. 70:1511-1525
Graph neural networks (GNNs) emerge as a powerful approach to process non-euclidean data structures and have been proved powerful in various application domains such as social networks and e-commerce. While such graph data maintained in real-world sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75b3f052a64d50072fbb8426693ebffa
https://doi.org/10.1109/tc.2020.3014632
https://doi.org/10.1109/tc.2020.3014632
Autor:
Shengwen Liang, Fei Xiao, Congju Fu, Baoyin He, Xiaoqin Yang, Hui Liu, Xiaoyang Zhang, Yadong Zhou, Qi Feng, Xinmeng Zhou
Publikováno v:
GIScience & Remote Sensing. 58:776-798
Eutrophication is the leading cause of freshwater impairment. Of China’s major cities, Wuhan has the largest coverage of the lake area, while lake eutrophication is increasing. Thus, the objective ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70594b651f342f3162d93a1c69f5bdd0
https://doi.org/10.1080/15481603.2021.1940738
https://doi.org/10.1080/15481603.2021.1940738
Publikováno v:
Proceedings of the 59th ACM/IEEE Design Automation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aed6f53df937255d4217d06e773a9904
https://doi.org/10.1145/3489517.3530560
https://doi.org/10.1145/3489517.3530560
Publikováno v:
Atmosphere, Vol 10, Iss 1, p 3 (2018)
Ambient air quality monitoring data and radar tracking sonde data were used to study the atmospheric boundary layer structure (ABLS) and its changing characteristics over Wuhan. The boundary layer structure index (BLSI), which can effectively describ
Externí odkaz:
https://doaj.org/article/3184234837644a0c91795e2cfc62e632
Autor:
Chang Yuan, Zuwu Wang, Hairong Cheng, Jin Chen, Shengwen Liang, Siqian Su, Pengcheng Wang, Yi Zhan, Luxiang Jiang, Ying Xiong
Publikováno v:
Fuel. 337:126869
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32925534a8e9b934fd3af0d03c07f5ab
https://doi.org/10.1016/j.fuel.2022.126869
https://doi.org/10.1016/j.fuel.2022.126869