Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhizhou Zhu"'
Publikováno v:
International Journal of Disaster Risk Science, Vol 15, Iss 1, Pp 116-133 (2024)
Abstract This study presents a novel method for optimizing parameters in urban flood models, aiming to address the tedious and complex issues associated with parameter optimization. First, a coupled one-dimensional pipe network runoff model and a two
Externí odkaz:
https://doaj.org/article/ff41ac69bd234dd788203207d2ff6ddc
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103908- (2024)
In current urban flood modeling, challenges arise from the inadequate consideration of heterogeneous underlying urban surface characteristics and the complexity of parameter optimization processes. This study integrates multiple machine learning meth
Externí odkaz:
https://doaj.org/article/44336e6dc7994827acecd09210c95c3b
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 51, Iss , Pp 101627- (2024)
Study region: The Caochangmen area in the Gulou District, Nanjing City, China, is a typical flood-prone and well-defined region. Study focus: This paper addresses the limitations of the current ''single-driver'' approach in simulating urban waterlogg
Externí odkaz:
https://doaj.org/article/4278a4c14bd34dbe8e7176c636d73ee8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 6327-6333 (2023)
Various nonpharmaceutical interventions (NPIs) were implemented to alleviate the COVID-19 pandemic since its outbreak. The transmission dynamics of other respiratory infectious diseases, such as seasonal influenza, were also affected by these interve
Externí odkaz:
https://doaj.org/article/2410c31a9dcd46d5b012c4ecf11e7d7b