Improving runoff estimation by raster‐based Natural Resources Conservation Service‐Curve Number adjustment for a new initial abstraction ratio in semi‐arid climates-Reference-Cited by-同舟云学术

Improving runoff estimation by raster‐based Natural Resources Conservation Service‐Curve Number adjustment for a new initial abstraction ratio in semi‐arid climates

Published:2021-07-26 Issue:9 Volume:37 Page:1333-1342
ISSN:1535-1459
Container-title:River Research and Applications
language:en
Short-container-title:River Res Applic

Author:

Akbari Abolghasem¹^ORCID,Daryabor Farshid²^ORCID,Abu Samah Azizan³,Shirmohammadi Aliakbarkhani Zahra⁴

Affiliation:

1. Department of Civil Engineering Binaloud Institute of Higher Education Mashhad Iran

2. Department of Geosciences and Natural Resource Management University of Copenhagen Copenhagen Denmark

3. Institute of Earth and Ocean Sciences University Malaya Kuala Lumpur Malaysia

4. Department of Water Science and Engineering University of Torbat‐e Jam Torbat‐e Jam Iran

Publisher

Wiley

Subject

General Environmental Science,Water Science and Technology,Environmental Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rra.3840

Reference38 articles.

1. Integration of SRTM and TRMM date into the GIS-based hydrological model for the purpose of flood modelling

2. The application of the Water Erosion Prediction Project (WEPP) model for the estimation of runoff and sediment on a monthly time resolution

3. Improving Curve Number Based Storm Runoff Estimates Using Soil Moisture Proxies

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