Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shouwei Sha"'
Publikováno v:
IEEE Access, Vol 8, Pp 15232-15240 (2020)
The subway station passenger flow prediction model can forecast passenger volume in the future. This model helps to carry out safety warnings and evacuation of passenger flow in advance. Based on the data of the Shanghai traffic card, the passenger v
Externí odkaz:
https://doaj.org/article/cd17fe19e8884c3490ce3fe3b47d942d
Autor:
Shouwei Shang, Leizhi Wang, Weijian Guo, Leilei Zhang, Yintang Wang, Xin Su, Lingjie Li, Yuan Chen
Publikováno v:
Water, Vol 16, Iss 17, p 2510 (2024)
There exist conflicts of interest between upstream and downstream regions in flood control and drainage; how to balance these conflicts and achieve collaborative flood management remains an important scientific problem. To explore a balanced governan
Externí odkaz:
https://doaj.org/article/60ba793933df4046b484688a85615b2a
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2024)
To systematically explore land use/cover change (LUCC) trends and driving mechanisms at the large watershed scale under the background of climate change and rapid urbanization. Taking the lower reaches of the Yangtze River (LRYR) as the research obje
Externí odkaz:
https://doaj.org/article/c1faadfb340c4a8682df434cbc47a26e
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Night years have witnessed the construction of sponge city in China. In recent years, more frequent extreme rainstorm has put more pressure on urban flood control and waterlogging elimination, and the construction of sponge city has been facing many
Externí odkaz:
https://doaj.org/article/991ae4cf728e4625a74415f863c1e633
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Theories of psychotherapy suggest that human mental problems associate with deficiencies in critical thinking. However, it currently remains unclear whether both critical thinking skill and critical thinking disposition relate to individual differenc
Externí odkaz:
https://doaj.org/article/9f3e9faa46d54075899c7ff3a78056a7