Evaluation of Uncertainty in Stream Flow Prediction Using Monte Carlo Simulation for Watershed-Scale Hydrological Modeling-Reference-Cited by-同舟云学术

Evaluation of Uncertainty in Stream Flow Prediction Using Monte Carlo Simulation for Watershed-Scale Hydrological Modeling

Published:2024-02 Issue:1 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Dey Preyanka¹^ORCID,Roy Shuvashish²,Bathi Jejal R.³,Mishra Anurag⁴

Affiliation:

1. Water Resources Engineer, WSP USA Environment and Infrastructure, Inc., 216 Centerview Dr., Suite 300, Brentwood, TN 37027 (corresponding author). ORCID: .

2. Water Resources Engineer, Dynamic Solutions, LLC, 6421 Deane Hill Dr., Suite 1, Knoxville, TN 37919.

3. Assistant Professor, Dept. of Civil and Chemical Engineering, Univ. of Tennessee at Chattanooga, Chattanooga, TN 37403.

4. Senior Hydrologic Engineer, Dynamic Solutions-International, LLC, P.O. Box 1916, Edmonds, WA 98020.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6008

Reference40 articles.

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2. Bathi, J. R., and S. Roy. 2020. “Computer tools for urban hydrology and water quality management.” In Sustainable water: Resources, management and challenges, edited by V. G. Gude, V. Gadhamshetty, and R. Kandiah. New York: Nova Science Publishers.

3. The future of distributed models: Model calibration and uncertainty prediction

4. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

5. Modeling Water Quality and the Effects of Agricultural Best Management Practices in the Iowa River Basin

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