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Hydrological Sciences Journal Volume 63, 2018 - Issue 1
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Original Articles

Probabilistic and ensemble simulation approaches for input uncertainty quantification of artificial neural network hydrological models

K.S. KasiviswanathanSchool of Engineering, Indian Institute of Technology Mandi, Kamand, India;Department of Civil Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada
,
K.P. SudheerDepartment of Civil Engineering, Indian Institute of Technology Madras, Chennai, India;Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USACorrespondence[email protected]
&
Jianxun HeDepartment of Civil Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada
Pages 101-113 | Received 08 Jul 2016, Accepted 23 Aug 2017, Published online: 14 Dec 2017

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Khalil Ur Rahman, Anwar Hussain, Nuaman Ejaz, Muhammad Shahid, Zheng Duan, Babak Mohammadi, Pham Ngoc Hoai, Quoc Bao Pham, Khaled Mohamed Khedher & Duong Tran Anh. (2022) Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region. Hydrological Sciences Journal 67:5, pages 791-805.
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Hakan Tongal. (2020) Comparison of local and global approximators in multivariate chaotic forecasting of daily streamflow. Hydrological Sciences Journal 65:7, pages 1129-1144.
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Ping Feng, Jiezhao Wu & Jianzhu Li. (2019) Changes in flood characteristics and the flood driving mechanism in the mountainous Haihe River Basin, China. Hydrological Sciences Journal 64:16, pages 1997-2005.
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Yanhua Qin, Baofu Li, Xun Sun, Yaning Chen & Xun Shi. (2019) Nonlinear response of runoff to atmospheric freezing level height variation based on hybrid prediction models. Hydrological Sciences Journal 64:13, pages 1556-1572.
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Shejule Priya Ashok & Sreeja Pekkat. (2024) Performance assessment of rainfall forecasting models for urban Guwahati City using machine learning techniques and singular spectrum analysis. Journal of Water and Climate Change.
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Nerea Portillo Juan, Clara Matutano & Vicente Negro Valdecantos. (2023) Uncertainties in the application of artificial neural networks in ocean engineering. Ocean Engineering 284, pages 115193.
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Suiling Wang, Zhiqiang Jiang & Hairong Zhang. (2022) Correction of Reservoir Runoff Forecast Based on Multi-scenario Division and Multi Models. Water Resources Management 36:13, pages 5277-5296.
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Muhammad Saeed, Huan Li, Sami Ullah, Atta-ur Rahman, Amjad Ali, Rehan Khan, Waqas Hassan, Iqra Munir & Shuaib Alam. (2021) Flood Hazard Zonation Using an Artificial Neural Network Model: A Case Study of Kabul River Basin, Pakistan. Sustainability 13:24, pages 13953.
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Vahid Nourani, Nardin Jabbarian Paknezhad & Hitoshi Tanaka. (2021) Prediction Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review. Sustainability 13:4, pages 1633.
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K. S. Kasiviswanathan, K. P. Sudheer, Bankaru-Swamy Soundharajan & Adebayo J. Adeloye. (2020) Implications of uncertainty in inflow forecasting on reservoir operation for irrigation. Paddy and Water Environment 19:1, pages 99-111.
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Yanlai Zhou, Shenglian Guo, Chong-Yu Xu, Fi-John Chang & Jiabo Yin. (2020) Improving the Reliability of Probabilistic Multi-Step-Ahead Flood Forecasting by Fusing Unscented Kalman Filter with Recurrent Neural Network. Water 12:2, pages 578.
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Haibo Chu, Wenyan Wu, Q.J. Wang, Rory Nathan & Jiahua Wei. (2020) An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions. Environmental Modelling & Software 124, pages 104587.
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Jhilam Sinha, Srinidhi Jha & Manish Kumar Goyal. (2019) Influences of watershed characteristics on long-term annual and intra-annual water balances over India. Journal of Hydrology 577, pages 123970.
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Ramesh S. V. Teegavarapu. (2018) Exploring geometrical patterns in streamflow time series: utility for forecasting?. Hydrology Research 49:6, pages 1724-1739.
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