Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yingna Sun"'
Publikováno v:
Water, Vol 16, Iss 19, p 2735 (2024)
Runoff in high-latitude water towers is crucial for ecological and human water demands during freeze–thaw periods but is highly sensitive to climate change and human activities. This study focuses on Changbai Mountain, the source of the Songhua, Tu
Externí odkaz:
https://doaj.org/article/e6466fb78c9042af83f34ba731272c29
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 48, Iss , Pp 101459- (2023)
Study region: Second Songhua River basin (SSRB), Northeast China. Study focus: Accurately assessing future flood risks is the premise and foundation of flood control and water resources management. At present, studies are still lacking in assessing f
Externí odkaz:
https://doaj.org/article/434cddb0bbfd4ef89775d4625410008d
Publikováno v:
Water, Vol 15, Iss 17, p 3101 (2023)
To lessen the strain on Harbin’s water resources and enhance the environment, it is crucial to analyze the key determining factors for the use of unconventional water resources in the city and to allocate unconventional water reasonably among vario
Externí odkaz:
https://doaj.org/article/2f88af7d2bcd4dc8be12fec75c57d97b
Publikováno v:
Water, Vol 15, Iss 3, p 451 (2023)
Understanding the role of climate change and catchment characteristics in hydrological activity is important for the efficient use of water resources. In this study, a Budyko framework suitable for non-steady conditions was used to assess the impacts
Externí odkaz:
https://doaj.org/article/86b69e950e9646288f71af46d95385f8
Autor:
Zehua Chang, Peng Qi, Guangxin Zhang, Yingna Sun, Xiaoyu Tang, Ming Jiang, Jiaxin Sun, Zan Li
Publikováno v:
CATENA. 214:106272
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b7830c22fe1433587f2d1ccd5967056
https://doi.org/10.1016/j.catena.2022.106272
https://doi.org/10.1016/j.catena.2022.106272
Publikováno v:
2011 International Symposium on Water Resource and Environmental Protection.
Convergence system is a random system and the main sources of random uncertainty have model input (meteorological and hydrological data, etc.) model structure and model parameters and so on. Based on the model of Nash, this paper uses the theory of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c2acfb4e547e90678fb445feff6405
https://doi.org/10.1109/iswrep.2011.5893145
https://doi.org/10.1109/iswrep.2011.5893145