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Study on Risk Assessment Framework for Snowmelt Flood and Hydro-Network Extraction from Watersheds

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Geo-Informatics in Resource Management and Sustainable Ecosystem ( 2015, GRMSE 2015)

Abstract

Disasters caused by snowmelt flood in mountains and high latitudes (e.g. Xinjiang, China) happen seriously every year for the lack of effective means for accurate prediction, early warning and risk assessment at present. As snowmelt flood involves meteorology, hydrology, disaster science and other disciplines, multidisciplinary research is demanded largely. This paper comprehensively considers the integration of snow-covered area monitoring, snow-depth retrieval, snowmelt runoff, hydrology and the assessment of disaster risk, proposes a new risk assessment framework for snowmelt flood. And then the extraction of hydro-network with Arc Hydro Tools is described taking Juntanghu Basin, Xinjiang Autonomous Region, China where snowmelt flood happens frequently as a case. Hydro-Network is a data model for following hydrology simulation.

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Acknowledgements

The authors would like to thank the support of the National Natural Science Foundation of China (Study on Pre-qualification Theory and Method for Influences of Disastrous Meteorological Events, Grant No. 91224004) and the youth talent plan program of Beijing City College (Study on Semantic Information Retrieval of Decision Analysis of Emergency Management for Typical Disastrous Meteorological Events, Grant No. YETP0117).

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Correspondence to Shaobo Zhong .

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Liu, D., Zhong, S., Huang, Q. (2016). Study on Risk Assessment Framework for Snowmelt Flood and Hydro-Network Extraction from Watersheds. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_67

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  • DOI: https://doi.org/10.1007/978-3-662-49155-3_67

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