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of 151
pro vyhledávání: '"Wen-Chuan Wang"'
Autor:
Wen-chuan Wang, Miao Gu, Yang-hao Hong, Xiao-xue Hu, Hong-fei Zang, Xiao-nan Chen, Yan-guo Jin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract Accurate runoff forecasting is of great significance for water resource allocation flood control and disaster reduction. However, due to the inherent strong randomness of runoff sequences, this task faces significant challenges. To address t
Externí odkaz:
https://doaj.org/article/041fe1025c434822a8c562add52f6d20
Akademický článek
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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
Autor:
K. P. Sudheer, K. S. Kasiviswanathan
Publikováno v:
Journal of Hydroinformatics. 16:1461-1463
[No abstract available]
Publikováno v:
Nature Environment and Pollution Technology, Vol 21, Iss 1, Pp 297-302 (2022)
Water quality in irrigation areas is related to food security and many other national strategies. This study takes China’s Yingkou Irrigation District as the research object and analyzes 4 water quality indicators, including NH4+-N, TP, DO and COD,
Externí odkaz:
https://doaj.org/article/0173e90704b74ec98a81d4e48994bce3
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:
Nature Environment and Pollution Technology, Vol 19, Iss 4, Pp 1585-1592 (2020)
Reservoirs play a key role in many infrastructure functions for people like flood control, irrigation, and water supply. In this work, we focused on the water quality evaluation model for Shimen Reservoir. Based on the monthly changes of factors such
Externí odkaz:
https://doaj.org/article/f276aecd2e2b4b9b9fbf38db6617778b
Publikováno v:
Nature Environment and Pollution Technology, Vol 19, Iss 3, Pp 1319-1325 (2020)
The nitrogen concentration/flux of water is very sensitive to the response of Net Anthropogenic Nitrogen Inputs (NANI), but the research on the dynamic response of nitrogen concentration to NANI is still rarely reported. In this study, the source of
Externí odkaz:
https://doaj.org/article/12e91ba336c34109881ef5c08ec5aa0d