Multiparameter Regression Modeling for Improving Quality of Measured Rainfall and Runoff Data in Densely Instrumented Watersheds-Reference-Cited by-同舟云学术

Multiparameter Regression Modeling for Improving Quality of Measured Rainfall and Runoff Data in Densely Instrumented Watersheds

Published:2019-10 Issue:10 Volume:24 Page:04019036
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Bitew Menberu Meles¹^ORCID,Goodrich David C.²,Demaria Eleonora³,Heilman Philip⁴,Nichols Mary²,Levick Lainie⁵^ORCID,Unkrich Carl L.⁶,Kautz Mark⁶

Affiliation:

1. Research Civil Engineer, US Dept. of Agriculture–Agricultural Research Service (USDA–ARS), Southwestern Watershed Research Center, Tucson, AZ 85719 (corresponding author). ORCID: .

2. Research Hydraulic Engineer, US Dept. of Agriculture–Agricultural Research Service (USDA–ARS), Southwestern Watershed Research Center, Tucson, AZ 85719.

3. Research Hydrologist-Meteorologist, US Dept. of Agriculture–Agricultural Research Service (USDA–ARS), Southwestern Watershed Research Center, Tucson, AZ 85719.

4. Research Leader, US Dept. of Agriculture–Agricultural Research Service (USDA–ARS), Southwestern Watershed Research Center, Tucson, AZ 85719.

5. Principal Research Specialist, School of Natural Resources and the Environment, Univ. of Arizona, Tucson, AZ 85721. ORCID: .

6. Hydrologist, US Dept. of Agriculture–Agricultural Research Service (USDA–ARS), Southwestern Watershed Research Center, Tucson, AZ 85719.

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.1943-5584.0001825

Reference53 articles.

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2. Assessing Satellite-Based Rainfall Estimates in Semiarid Watersheds Using the USDA-ARS Walnut Gulch Gauge Network and TRMM PR

3. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

4. Artificial Neural Networks in Hydrology. II: Hydrologic Applications

5. Barto K. 2017. “MuMIn v1.7.” Accessed April 1 2017. https://www.rdocumentation.org/packages/MuMIn.

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