Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Wen-Chuan Wang"'
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 3, Pp 943-970 (2023)
In runoff prediction, the prediction accuracy is often affected by the non-linear and non-stationary characteristics of the runoff series. In this study, a coupled forecasting model is proposed that decomposes the original runoff series by an improve
Externí odkaz:
https://doaj.org/article/c306ab37252045d0be29a0389f1ff01a
Publikováno v:
Journal of Hydroinformatics, Vol 23, Iss 4, Pp 724-739 (2021)
This paper presents an energy model for determining the overland flow velocity in order to improve the low accuracy problem in flow concentration simulation. It furnishes a novel idea for studying flow concentration in ungauged basins. The model can
Externí odkaz:
https://doaj.org/article/c1828d1166c047b9903907447555af7f
Autor:
Bao-Jian Li, Jing-Xin Yang, Qing-Yuan Luo, Wen-Chuan Wang, Tai-Heng Zhang, Ling Zhong, Guo-Liang Sun
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Monthly runoff forecasting plays a vital role in reservoir ecological operation, which can reduce the negative impact of dam construction and operation on the river ecosystem. Numerous studies have been conducted to improve monthly runoff forecast ac
Externí odkaz:
https://doaj.org/article/d8f6fe5e09404fc5a0e00e42f702cd35
Publikováno v:
Water Science and Engineering, Vol 14, Iss 1, Pp 28-35 (2021)
Drought generally has significant impacts on crops. It is essential to quantitatively evaluate the relationship between crop production and drought degree to provide technical support for drought disaster prevention. In this study, a drought degree i
Externí odkaz:
https://doaj.org/article/ecf1b791450c4da787d4d7ccf871ed2e
Publikováno v:
Water Science and Engineering, Vol 13, Iss 2, Pp 136-144 (2020)
Based on conventional particle swarm optimization (PSO), this paper presents an efficient and reliable heuristic approach using PSO with an adaptive random inertia weight (ARIW) strategy, referred to as the ARIW-PSO algorithm, to build a multi-object
Externí odkaz:
https://doaj.org/article/fe7097b8841e437da46a00ca245fe23d
Publikováno v:
Water, Vol 14, Iss 21, p 3514 (2022)
The Latent Heat Flux (LE) is an important component of surface water heat transfer and hydrological cycle, and monitoring it is of great value for water resource management and crop water demand estimation. The Heihe River Basin has complex topograph
Externí odkaz:
https://doaj.org/article/082fdc3868a247dcb8f8e428c93943fd
Publikováno v:
Water Science and Engineering, Vol 11, Iss 3, Pp 177-186 (2018)
The Palmer drought severity index (PDSI) is physically based with multivariate concepts, but requires complicated calibration and cannot easily be used for multiscale comparison. Standardized drought indices (SDIs), such as the standardized precipita
Externí odkaz:
https://doaj.org/article/e8b46c56bc0a4e018ec4f47fa7ba20f8
Publikováno v:
Water, Vol 13, Iss 22, p 3282 (2021)
To reveal the influence process of land use changes on runoff variation trends, this paper takes the Luojiang River of China as the study area, and the Soil and Water Assessment Tool (SWAT) model was constructed to quantitatively analyze the impact o
Externí odkaz:
https://doaj.org/article/95d9a106087f4a918160f190a615df05
Publikováno v:
Water, Vol 13, Iss 12, p 1694 (2021)
The river ecosystem has the characteristics of the coexistence of clarity and ambiguity. The starting point of eco-friendly reservoir operation is to fully consider the ecological water requirements of the lower reaches of the reservoir, so it also h
Externí odkaz:
https://doaj.org/article/459590c2deff47848b76c53a1833c1de
Publikováno v:
Forests, Vol 9, Iss 6, p 339 (2018)
Understanding the response of flood frequency to impact factors could help water resource managers make better decisions. This study applied an integrated approach of a hydrological model and partial least squares (PLS) regression to quantify the inf
Externí odkaz:
https://doaj.org/article/551285380b8048c9a00f87b1757fdae1