Design of a monitoring and early warning system for snow disaster in a pastoral area of Qinghai Province

In this study, we aimed to improve the speed of data updating and matrix calculating capacity in a monitoring and early warning system for snow disaster by improving the means of data access and increasing application of the matrix operation. In this study, we designed a monitoring and early warning system for snow disaster in Qinghai Province using Tomcat as a Web server, GeoServer as a map server, PostgreSQL as a database, OpenLayers as map access, J2EE as a standard software, logistic linear regression for snow disaster assessment, BP-ANN as a model for livestock mortality estimation, and MATLAB for matrix calculation. We also designed a Web-page display and query for regional attribute and snow disaster information, risk probability of snow disaster, livestock mortality due to snow disaster, data import, and other functions. This system was optimized to solve the problem that a snow disaster monitoring system could not update data in sufficient time, to add the function of matrix calculus, and to reduce duplication of data operations, which are convenient for the user to manager the data of monitoring and early warning of snow disaster in pastoral areas of Qinghai Province.