Hydrologic Regionalization under Data Scarcity: Implications for Streamflow Prediction-Reference-Cited by-同舟云学术

Hydrologic Regionalization under Data Scarcity: Implications for Streamflow Prediction

Published:2021-09 Issue:9 Volume:26 Page:05021022
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Panthi Jeeban¹^ORCID,Talchabhadel Rocky²^ORCID,Ghimire Ganesh R.³,Sharma Sanjib⁴,Dahal Piyush⁵,Baniya Rupesh⁶^ORCID,Boving Thomas⁷,Pradhanang Soni M.⁸^ORCID,Parajuli Binod⁹

Affiliation:

1. Ph.D. Candidate, Dept. of Geosciences, Univ. of Rhode Island, Kingston, RI 02881 (corresponding author). ORCID: .

2. Postdoctoral Research Associate, Texas A&M AgriLife Research, Texas A&M Univ., El Paso, TX 79927. ORCID: .

3. Postdoctoral Research Associate, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831.

4. Research Assistant Professor, Earth and Environmental Systems Institute, Pennsylvania State Univ., University Park, PA 16802.

5. Research Director, Small Earth Nepal, 20533 Bhakti Thapa Sadak, Kathmandu 44600, Nepal.

6. Graduate Student, Institute of Engineering, Pulchowk Campus, Tribhuvan Univ., Lalitpur 44600, Nepal. ORCID: .

7. Professor, Dept. of Geosciences, Univ. of Rhode Island, Kingston, RI 02881.

8. Associate Professor, Dept. of Geosciences, Univ. of Rhode Island, Kingston, RI 02881. ORCID: .

9. Hydrologist Engineer, Dept. of Hydrology and Meteorology, Ministry of Energy, Water Resources, and Irrigation, Kathmandu 44600, Nepal.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002121

Reference50 articles.

1. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) after fifteen years: Review of global products

2. Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions

3. Streamflow Prediction of Karuvannur River Basin Using ANFIS, ANN and MNLR Models

4. Streamflow prediction in ungauged basins: analysis of regionalization methods in a hydrologically heterogeneous region of Mexico

5. Continuous streamflow prediction in ungauged basins: The effects of equifinality and parameter set selection on uncertainty in regionalization approaches

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