A real-time regional geological hazard warning system in terms of WEBGIS and rainfall
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A real-time regional geological hazard warning system in terms of WEBGIS and rainfall
Vol. 26, Issue 8, (2005)
作者机构:
1. 中国地质大学(武汉)工程学院,武汉,430074
2. 浙江省气象台,杭州,310017
作者简介:
基金信息:
DOI:
CLC:P456
Online First:26 December 2013,
Published:2005
稿件说明:
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ZHANG Gui-rong, YIN Kun-long, LIU Li-ling, et al. A real-time regional geological hazard warning system in terms of WEBGIS and rainfall[J]. 2005, 26(8).
DOI:
ZHANG Gui-rong, YIN Kun-long, LIU Li-ling, et al. A real-time regional geological hazard warning system in terms of WEBGIS and rainfall[J]. 2005, 26(8).DOI:
A real-time regional geological hazard warning system in terms of WEBGIS and rainfall
the paper presents a real-time warning system for regional geological hazards in Zhejiang Province which is formulated with precipitation and its forecasting data and geological hazard investigation data. The system concludes four subsystems: subsystem of geological hazard management; subsystem of spatial prediction and time warning; subsystem of application in illustrative regions and subsystem of hazard reduction and prevention. The main purposes are (1) to establish systematic digital geological hazard management of individual and regional geological hazard information including data and maps according to the subsystem of geological hazard system
which can serves for decision-making in administrative ways; (2) to establish a real-time regional geological hazard warning system in Internet which is strongly connected with weather information center. The warning information of Zhejiang Province is released timely through Web net in raining seasons. The key part of this system is geological hazard prediction and warning modes
which is realized with the combination of regional geological hazard zonation and dynamic weather information. This system is run during the rain season from May to July of 2004. It is evaluated by in-site geological hazard inventory that practical geological hazards are mostly occurred within the warned high risk areas
which gives good confidences of the models and system operations.