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Simulating low and high streamflow driven by snowmelt in an insufficiently gauged alpine basin
Zhang F. Y.; Ahmad, S.; Zhang, H. Q.; Zhao, X.; Feng, X. W.; Li, L. H.
Source PublicationStochastic Environmental Research and Risk Assessment
2016
Volume30
Issue1
Pages59-75
KeywordStreamflow Cumulative temperature Snowmelt Infiltration Kaidu River basin System dynamics surface backscatter response trmm precipitation radar forecast lead time climate-change united-states river-basin modeling approach water-resources soil-moisture tarim river
AbstractSnowmelt and water infiltration are two important processes of the hydrological cycle in alpine basins where snowmelt water is a main contributor of streamflow. In insufficiently gauged basins, hydrologic modeling is a useful approach to understand the runoff formation process and to simulate streamflow. In this study, an existing hydrologic model based on the principles of system dynamics was modified by using the effective cumulative temperature (>0 degrees C) to calculate snowmelt rate, and the soil temperature to adjust the influence of the soil's physical state on water infiltration. This modified model was used to simulate streamflows in the Kaidu River basin from 1982 to 2002, including normal, high, and low flows categorized by the Z index. Sensitivity analyses, visual inspection, and statistical measures were employed to evaluate the capability of the model to simulate various components of the streamflow. Results showed that the modified model was robust, and able to simulate the three categories of flows well. The model's ability to reproduce streamflow in low-flow and normal-flow years was better than that in high-flow years. The model was also able to simulate the baseflow. Further, its ability to simulate spring-peak flow was much better than its ability to simulate the summer-peak flow. This study could provide useful information for water managers in determining water allocations as well as in managing water resources.
Indexed BySCI
Language英语
ISSN1436-3240
DOI10.1007/s00477-015-1028-2
Citation statistics
Cited Times:31[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43414
Collection历年回溯文献
Recommended Citation
GB/T 7714
Zhang F. Y.,Ahmad, S.,Zhang, H. Q.,et al. Simulating low and high streamflow driven by snowmelt in an insufficiently gauged alpine basin. 2016.
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