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Hydrological Sciences Journal Volume 60, 2015 - Issue 6
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Original Articles

Parametric uncertainty and sensitivity analysis of hydrodynamic processes for a large shallow freshwater lake

Incertitude et analyse de sensibilité des paramètres des processus hydrodynamiques d’un grand lac d'eau douce peu profond

Yiping LiKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes Ministry of Education, Hohai University, Nanjing210098, China;College of Environment, Hohai University, Nanjing210098, ChinaCorrespondence[email protected]
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Chunyan TangCollege of Environment, Hohai University, Nanjing210098, ChinaView further author information
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Jianting ZhuDepartment of Civil and Architectural Engineering, University of Wyoming, Wyoming82071, USAView further author information
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Baozhu PanChangjiang River Scientific Research Institute, Wuhan430010, ChinaView further author information
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Desmond O. AnimCollege of Environment, Hohai University, Nanjing210098, ChinaView further author information
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Yong JiSchool of Hydraulic and Ecological Engineering, Nanchang Institute of Technology, Nanchang330099, ChinaView further author information
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Zhongbo YuDepartment of Geoscience, University of Nevada, Las Vegas, Nevada89119, USAView further author information
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Kumud AcharyaDivision of Hydrologic Sciences, Desert Research Institute, Las Vegas, Nevada89119, USAView further author information
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Pages 1078-1095 | Received 12 Jul 2013, Accepted 24 Feb 2014, Published online: 06 May 2015

Citations (26)

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K.S. Kasiviswanathan, K.P. Sudheer & Jianxun He. (2018) Probabilistic and ensemble simulation approaches for input uncertainty quantification of artificial neural network hydrological models. Hydrological Sciences Journal 63:1, pages 101-113.
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