2022
DOI: 10.1016/j.scitotenv.2022.153684
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Spatially non-stationary relationships between urbanization and the characteristics and storage-regulation capacities of river systems in the Tai Lake Plain, China

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Cited by 12 publications
(2 citation statements)
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“…By constructing a hydrological–hydrodynamic model and evaluating the dynamic regulation and storage capacity during the flood season, we found that the polder‐type flood control pattern reduces the regulation and storage function of the river system, which adversely affects the dynamic regulation and storage capacity. Previous studies have shown that as urbanization has accelerated in recent years, the regional runoff yield has subsequently increased, and static regulation and storage capacity has dramatically declined (Gao et al, 2018; Lei et al, 2022; Xu, Xu, et al, 2018). Although the construction of polders has reduced the probability of waterlogging in the polder area, it has also reduced the regulation and storage of the river system for flooding and increased the potential regional damage to the ecological system and the flood risk (Harbul'akova et al, 2017; Laks & Walczak, 2020; Xu & Liu, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…By constructing a hydrological–hydrodynamic model and evaluating the dynamic regulation and storage capacity during the flood season, we found that the polder‐type flood control pattern reduces the regulation and storage function of the river system, which adversely affects the dynamic regulation and storage capacity. Previous studies have shown that as urbanization has accelerated in recent years, the regional runoff yield has subsequently increased, and static regulation and storage capacity has dramatically declined (Gao et al, 2018; Lei et al, 2022; Xu, Xu, et al, 2018). Although the construction of polders has reduced the probability of waterlogging in the polder area, it has also reduced the regulation and storage of the river system for flooding and increased the potential regional damage to the ecological system and the flood risk (Harbul'akova et al, 2017; Laks & Walczak, 2020; Xu & Liu, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…If the Z value is >1.96, it indicates that there is a positive spatial autocorrelation at the significance level of 5%, which is manifested as high-value or low-value congeneric clustering. If the Z value is < -1.96, it indicates that there is a negative spatial correlation at the significance level of 5%, which indicates high-value and low-value heterogeneous clustering ( 55 , 56 ). In other cases, it indicates that the attribute characteristics do not have correlation and are randomly distributed.…”
Section: Methodsmentioning
confidence: 99%