
Proceedings Paper
Study on the process of snowmelt based on the 3S technologyFormat | Member Price | Non-Member Price |
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Paper Abstract
The research on snowmelt process is very important to flood and drought calamity monitoring and forecasting, as well as
to water resource management. A distributed snowmelt runoff model based on the "3S" technology has been designed
and developed in this paper. The distributed snowmelt runoff model is based on energy balance and water quantity
balance, which consists of three parts: grid snowmelt model, grid runoff yield model and grid catchments model.
Snowmelt and runoff yield process are all based on grid scale, so the model is provided with distributing character and
has strict physical mechanism. An important concept of "Unit Period of Time" was put forward in the paper for time
scale conversion, and thereby developed "Degree and Cent Snowmelt Runoff Model", and gave some thoughts for the
difficult problem of hydrology time scale conversion. Another important concept of "Freezing and Melting Coefficient"
had also been brought forward here, which is aimed to explain the repetitive freezing and melting physical mechanism in
the snowmelt period, so it has important significance to exactly hold the snowmelt process. Besides, a Snowmelt Runoff
Simulating System had been developed, which adopted methods of the combination of B/S and C/S, using a great deal of
remote sensing data, weather data and hydrology data, realizing the arithmetic of the model, as well as the distributed
stimulation of the discharge of the typical study area, Juntanghu Basin. Validation of this model with the true measured
data resulted an average relative error under 0.18, indicating that the model was able to realize simulating the process of
the snowmelt well.
Paper Details
Date Published: 22 October 2007
PDF: 8 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66790K (22 October 2007); doi: 10.1117/12.725527
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
PDF: 8 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66790K (22 October 2007); doi: 10.1117/12.725527
Show Author Affiliations
Shifeng Fang, Xinjiang Univ. (China)
Huan Pei, Nanjing Univ. (China)
Wei Dai, Xinjiang Univ. (China)
Zhihui Liu, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Qingdong Shi, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Huan Pei, Nanjing Univ. (China)
Wei Dai, Xinjiang Univ. (China)
Zhihui Liu, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Qingdong Shi, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Quidong Zhao, Xinjiang Univ. (China)
Zhi Lu, Xinjiang Univ. (China)
Min Li, Xinjiang Univ. (China)
Yan Yan, Xinjiang Univ. (China)
Zhi Lu, Xinjiang Univ. (China)
Min Li, Xinjiang Univ. (China)
Yan Yan, Xinjiang Univ. (China)
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
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