Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Shifeng, Sun"'
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112620- (2024)
Understanding the value of ecosystem services (ESV) and the mechanisms that influence it is pivotal for upholding ecological equilibrium and fostering sustainable development in the densely populated regions of the Tibetan Plateau. In this study, we
Externí odkaz:
https://doaj.org/article/02b2fe6db17040eb8985523ba35aca7c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract To improve the accuracy of runoff forecasting, a combined forecasting model is established by using the kernel extreme learning machine (KELM) algorithm optimised by the butterfly optimisation algorithm (BOA), combined with the variational m
Externí odkaz:
https://doaj.org/article/623b622316814687a39d4589058dc7e6
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Enhancing flood forecasting accuracy, promoting rational water resource utilization and management, and mitigating river disasters all hinge on the crucial role of improving the accuracy of daily flow prediction. The coupled model of Complet
Externí odkaz:
https://doaj.org/article/5793ddb9e8144467854a8c7bf9991245
Publikováno v:
Water Supply, Vol 23, Iss 11, Pp 4742-4758 (2023)
Precipitation prediction is one of the important issues in meteorology and hydrology, and it is of great significance for water resources management, flood control, and disaster reduction. In this paper, a precipitation prediction model based on the
Externí odkaz:
https://doaj.org/article/8b4b828bf0da4ba1a936bf852d6b502c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract In order to enhance the simulation of BMPs (Best Management Practices) reduction effects in unmonitored watersheds, in this study, we combined the physically-based hydrological model Soil & Water Assessment Tool (SWAT) and the data-driven mo
Externí odkaz:
https://doaj.org/article/e1879d78c99a409dbc4ad8f69576767f
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-21 (2023)
Abstract Against the backdrop of accelerated global climate change and urbanization, the frequency and severity of flood disasters have been increasing. In recent years, influenced by climate change, the Hai-River Basin (HRB) has experienced multiple
Externí odkaz:
https://doaj.org/article/a48ee6eac2f1433da51a818da7132420
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The accurate prediction of monthly runoff in the lower reaches of the Yellow River is crucial for the rational utilization of regional water resources, optimal allocation, and flood prevention. This study proposes a VMD-SSA-BiLSTM coupled mo
Externí odkaz:
https://doaj.org/article/3c790629c8c34655904ff05bbe072049
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0302588 (2024)
Hebi is located in the northern part of China's Henan Province and is a typical receiving area for China's South-to-North Water Diversion Project. The assessment of habitat quality and water yield over a long time series is important for evaluating t
Externí odkaz:
https://doaj.org/article/43406a5c4fb44e9a8341baf4cfb19223
Publikováno v:
In Environmental Pollution 15 December 2023 339
Publikováno v:
Ecological Indicators, Vol 153, Iss , Pp 110421- (2023)
The connectivity of urban water systems can enhance the connectivity of regional rivers, lakes, and water systems, which can improve the regional water environment and water ecology to a certain extent, and enhance the water disaster prevention capab
Externí odkaz:
https://doaj.org/article/5615da62d1d34a2da04d4315218fb4ad