Flood events process detection and near realtime service based on sensor web

doi:10.11947/j.AGCS.2020.20180378

Abstract

Abstract: Full life cycle flood detection and service (FD&S) is of great significance to ensuring people's lives and properties. Flood detection methods generally focuses on the flood section/average state, lack of the overall understanding of the flood process from the occurrence, through the development, and to the end of floods, and the detection and service of floods are passive and lagging.This paper made the flood process detection rule and improved the water level prediction model, which were employed as theoretical foundations, and combined them with sensor web to construct the process-based FD&S (PFD&S) method.Based on the PFD&S method,this paper developed the PFD&S prototype, which consists of the sensor layer, the data access layer, the flood detection layer, and the user interaction layer, and has the two operating modes of data publishing and flood subscription. The floods occurring in the Huanghan basin, Hubei, China in the summer of 2016 were selected as the case studies to test the feasibility and validation of the PFD&S method and prototype. The results demonstrated that the proposed PFD&S method and prototype could precisely determine the flood phases, provide the water level prediction, alert, and information statistics services according to the requirements of different flood phases, and the PFD&S method featured instantaneity and extensibility.

Key words: flood, full life cycle, detection, near realtime service, sensor web

CLC Number:

P237

DU Wenying, CHEN Nengcheng, YUAN Sai. Flood events process detection and near realtime service based on sensor web[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(2): 191-201.

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