Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Qianjin Dong"'
Autor:
Feng Chen, Shijie Wang, Qianjin Dong, Jan Esper, Ulf Büntgen, David Meko, Hans W. Linderholm, Tao Wang, Weipeng Yue, Xiaoen Zhao, Martín Hadad, Álvaro González-Reyes, Fahu Chen
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Over the past two decades, more frequent and intense climate events have seriously threatened the operation of water transfer projects in the Pacific Rim region. However, the role of climatic change in driving runoff variations in the water
Externí odkaz:
https://doaj.org/article/0456f37cecf44841a38d77835062ea2c
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 48, Iss , Pp 101469- (2023)
Study region: The Lhasa River Basin (LRB), Qinghai–Tibet Plateau (QTP), China Study focus: This study investigates the application of three Budyko-type models with time-varying parameter and further explore the attribution of runoff change in the Q
Externí odkaz:
https://doaj.org/article/12a114c6ffac45968adc910ff3589c13
Publikováno v:
Journal of Flood Risk Management, Vol 16, Iss 1, Pp n/a-n/a (2023)
Abstract Daily inflow forecasting is of vital importance in reservoir economic operation. In the context of hydrometeorological forecasting, the effectiveness of the data‐driven models has been demonstrated as bias correctors for physically‐based
Externí odkaz:
https://doaj.org/article/581af5cbb7364964877fdb37d77e3062
Autor:
Qianjin Dong, Fan Lu
Publikováno v:
Water, Vol 7, Iss 11, Pp 6173-6189 (2015)
It is essential to consider the acceptable threshold in the assessment of a hydrological model because of the scarcity of research in the hydrology community and errors do not necessarily cause risk. Two forecast errors, including rainfall forecast e
Externí odkaz:
https://doaj.org/article/40a30dd65d3e474a96022c4c583f1535
Publikováno v:
Water, Vol 10, Iss 1, p 12 (2017)
The influence of initial state variables on flood forecasting accuracy by using conceptual hydrological models is analyzed in this paper and a novel flood forecasting method based on correction of initial state variables is proposed. The new method i
Externí odkaz:
https://doaj.org/article/62eedf0ecfed4c25b68e95ec1aac66a5
The Budyko framework is an effective and widely used method for describing long-term water balance in large catchments. However, it only considers the limits of water and energy in evaporation (E), and ignores the impacts of climate seasonality and w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::505e70ee37b27d1e0ca7a25b8721291a
https://hess.copernicus.org/preprints/hess-2022-309/
https://hess.copernicus.org/preprints/hess-2022-309/
Publikováno v:
Journal of Flood Risk Management. 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66edb3e0acbdbd577b1fd2eaf11e9b88
https://doi.org/10.1111/jfr3.12854
https://doi.org/10.1111/jfr3.12854
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 35:2567-2581
Baseflow plays a critical role in maintaining the aquatic environmental health. However, the driving factors and predictions of baseflow have not been rigorously investigated on a large scale, partly preventing hydrologist from deeply understanding r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0673705c019359bdee643e3030085b13
https://doi.org/10.1007/s00477-021-02057-2
https://doi.org/10.1007/s00477-021-02057-2
Publikováno v:
CATENA. 219:106598
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35ae8e919d4bb2cdea027229e4502d6e
https://doi.org/10.1016/j.catena.2022.106598
https://doi.org/10.1016/j.catena.2022.106598