Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Hongren Shen"'
1
Akademický článek
Influence of Nitrogen Content on the Corrosion Behavior of Powder Metallurgy Nickel-Free Austenitic Stainless Steel
Autor: Weili Yu, Changhai Du, Hongren Shen, Hao He, Yong Yu, Yimin Li, Fenghua Luo
Publikováno v: Advances in Materials Science and Engineering, Vol 2021 (2021)
Herein, powder metallurgy gas-solid nitriding was used to prepare a high-nitrogen Ni-free austenitic stainless steel with more than 1.0 wt.% N. Study of the microstructures and corrosion resistances of the as-prepared samples revealed that the corros
Externí odkaz: https://doaj.org/article/1632891981724e4784c78d59c6cb4157
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2
Akademický článek
Possible Future Climate Change Impacts on the Hydrological Drought Events in the Weihe River Basin, China
Autor: Fei Yuan, Mingwei Ma, Liliang Ren, Hongren Shen, Yue Li, Shanhu Jiang, Xiaoli Yang, Chongxu Zhao, Hao Kong
Publikováno v: Advances in Meteorology, Vol 2016 (2016)
Quantitative evaluation of future climate change impacts on hydrological drought characteristics is one of important measures for implementing sustainable water resources management and effective disaster mitigation in drought-prone regions under the
Externí odkaz: https://doaj.org/article/a2ec6f307edf43e1960a3712c05f17c9
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3
The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL)
Autor: Juliane Mai, Hongren Shen, Bryan A. Tolson, Étienne Gaborit, Richard Arsenault, James R. Craig, Vincent Fortin, Lauren M. Fry, Martin Gauch, Daniel Klotz, Frederik Kratzert, Nicole O'Brien, Daniel G. Princz, Sinan Rasiya Koya, Tirthankar Roy, Frank Seglenieks, Narayan K. Shrestha, André G. T. Temgoua, Vincent Vionnet, Jonathan W. Waddell
Publikováno v: Hydrology and Earth System Sciences. 26:3537-3572
Model intercomparison studies are carried out to test and compare the simulated outputs of various model setups over the same study domain. The Great Lakes region is such a domain of high public interest as it not only resembles a challenging region
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a44b85b07e38ea33782c34e8ccff78
https://doi.org/10.5194/hess-26-3537-2022
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5
On the elaboration of a robust calibration strategy for the large-scale GEM-Hydro model
Autor: Etienne Gaborit, Daniel Princz, Juliane Mai, Hongren Shen, Bryan Tolson, Vincent Fortin
As part of the Great-Lakes Runoff Inter-comparison Project (GRIP-GL; Mai et al., 2022), which aims at comparing the performances of different hydrologic models over the Great-Lakes when calibrating them using the same meteorological inputs and geophy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27175db03684e83012b1c9f236e7eb06
https://doi.org/10.5194/egusphere-egu23-6986
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7
Akademický článek
Enhancing LSTM-based streamflow prediction with a spatially distributed approach.
Autor: Qiutong Yu, Tolson, Bryan A., Hongren Shen, Ming Han, Juliane Mai, Lin, Jimmy
Publikováno v: Hydrology & Earth System Sciences Discussions; 11/3/2023, p1-23, 23p
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10
Time to Update the Split Sample Approach to Hydrological Model Calibration: A Massive Empirical Study
Autor: Hongren Shen, Bryan Tolson, Juliane Mai
Model calibration and validation are critical in hydrological model robustness assessment. Unfortunately, the commonly used split-sample test (SST) framework for data splitting requires modelers to make subjective decisions without clear guidelines.A
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bfa805782e5863f6a0003d8fdd380cee
https://doi.org/10.5194/egusphere-egu22-10846
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