Xi'an urban waterlogging disaster forecasting and warning system designed to achieve regionalization
|School||University of Electronic Science and Technology|
|Keywords||city waterlogging early-warning design regionalization analysis|
In recent years, due to heavy rainfall, waterlogging disasters have became increasingly prominent in urban areas of Xi’an, Xianyang, Baoji of Shaanxi province and cause great impact on running of the city and daily living of people. To improve meteorological service and provide technical support to carrying out meteorological service for urban waterlogging, it is necessary to establish a GIS-based simulation model system suitable to urban topology and drainage features of Xi’an city, using VB and FORTRAN to write programs, upon which build up an operative waterlogging disaster early-warning system to make waterlogging simulation and evaluation in order to provide technical support to urban meteorological prevention and mitigation services.First, The Xi’an waterlogging disaster early-warning system is designed based on FORTRAN language and ARCview to achieve localization of the hydrodynamic model in Xi’an. Second, write programs to achieve connection of precipitation data from automatic observation in urban areas of Xi’an, numerical weather forecast products, Doppler radar data and the simulation model. Last, develop an automatically interactive operational forecast system of waterlogging caused by heavyrain to conduct meteorological simulation, early-warning and evaluation of waterlogging disaster. The main result of this paper is an interactive operational software used for automatically forecasting urban waterlogging caused by heavy rain, including two parts, simulation model and early-warning system respectively.Regionalization analysis of waterlogging disaster in Xi’an is conducted with the heavy rain–induced waterlogging early-warning system. Data adopted are rainfall data from 2006 to 2009 achieved from automatic observation in urban areas of Xi’an, 1:10,000 GIS data, population of 6 main districts, and social economic data as GDP and so on. Meanwhile, pivotal weather events causing waterlogging disasters of Xi’an since 1995, and waterlogging observation data were used to decide the threshold and make comprehensive analysis. The regionalization of waterlogging disasters was investigated from 4 sides, developing condition, disaster-causing factors, disaster carrier, and prevention and mitigation capability, including the regionalization of disaster sensitivity, risk, fragility and prevention and mitigation capability, thus, after comprehensive analysis, to achieve a risk regionalization of waterlogging disaster of Xi’an city.The heavy rain-induced waterlogging disaster early-warning system of Xi’an can provide simulative monitoring, or predict distribution of maximum waterlogged area caused by a heavy rain event, give the location and area proportion of a region of the whole city where the depth of water reaches or exceed a given value, and simultaneously output a hourly waterlogging evolution of all parts of the city. Using observational rainfall data of August 25th, 2011 from several representative stations to simulate urban waterlogging area of Xi’an, the results were good and could meet the need of waterlogging disaster early-warning of Xi’an.