Water Science and Engineering 2012, 5(2) 123-136 DOI:   10.3882/j.issn.1674-2370.2012.02.001  ISSN: 1674-2370 CN: 32-1785/TV

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snowmelt runoff model
snow cover area
remote sensing
northwest China
SHALAMU -abudu
JAMES Phillip-King
Article by Shalamu,.A
Article by Chunliang,.C
Article by Muattar,.S
Article by James,P.K

Application of snowmelt runoff model (SRM) in mountainous watersheds: A review

Shalamu ABUDU*1, 2, Chun-liang CUI1, Muattar SAYDI1, James Phillip KING2

1. Xinjiang Water Resources Research Institute, Urumqi 830049, P. R. China
2. Civil Engineering Department, New Mexico State University, Las Cruces, NM 88001, USA


The snowmelt runoff model (SRM) has been widely used in simulation and forecast of streamflow in snow-dominated mountainous basins around the world. This paper presents an overall review of worldwide applications of SRM in mountainous watersheds, particularly in data-sparse watersheds of northwestern China. Issues related to proper selection of input climate variables and parameters, and determination of the snow cover area (SCA) using remote sensing data in snowmelt runoff modeling are discussed through extensive review of literature. Preliminary applications of SRM in northwestern China have shown that the model accuracies are relatively acceptable although most of the watersheds lack measured hydro-meteorological data. Future research could explore the feasibility of modeling snowmelt runoff in data-sparse mountainous watersheds in northwestern China by utilizing snow and glacier cover remote sensing data, geographic information system (GIS) tools, field measurements, and innovative ways of model parameterization.

Keywords snowmelt runoff model   temperature   precipitation   snow cover area   remote sensing   northwest China  
Received 2011-04-21 Revised 2012-02-14 Online: 2012-06-26 
DOI: 10.3882/j.issn.1674-2370.2012.02.001
the National Natural Science Foundation of China (Grant No. 51069017), the Special Fund for Public Welfare Industry of Ministry of Water Resources of China (Grant No. 201001065), the Open-End Fund of Key Laboratory of Oasis Ecology, Xinjiang University (Grant No. XJDX0206-2010-03), and the Open-End Fund of the China Institute of Water Resources and Hydropower Research (Grant No. IWHR-SKL-201104).
Corresponding Authors: Shalamu ABUDU
Email: shalamu@yahoo.cn
About author:

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