| Rainfall is a weather phenomenon closely related to human life.The environment and crops that human beings depend on are inseparable from the rainfall.In the natural disasters such as debris flow,flood and earthquake,the impact of rainfall also plays a key role.For a long time,rainfall monitoring,forecasting and statistics are not only an important research field of meteorology,but also an important research topic of hydrology and water resources scholars.With the acceleration of urbanization in Chongqing,the characteristics of rainstorm have changed a lot,mainly in the increase of single rainstorm and rainstorm frequency.Therefore,the frequent occurrence of flood disaster in Chongqing city has become a problem that must be solved in urban development.In order to efficiently and timely manage and display the rain information of Chongqing,obtain the data of potential geological hazard points in the rainstorm area of Chongqing,and provide users with real-time and effective decision-making basis,this design is based on the Web GIS concept,adopts the B /S five layer architecture mode,and uses HTML(5),CSS(3),Arc GIS API for Java Script,python,database and other system development technologies are used to build a Web GIS based rainfall analysis system of Chongqing geological disaster.The main research contents and achievements of this paper are as follows:1)Research and comparison of spatial interpolation algorithms: in this paper,IDW,Kriging interpolation and spline interpolation are used to interpolate the rainfall data of Chongqing,and generate rainfall isosurface.Through comparative analysis,it is concluded that the IDW has higher interpolation accuracy and is more suitable for rainfall spatial interpolation in Chongqing.2)Research on the optimization of Geoprocessing model: in the original model,it takes a lot of time to extract the potential geological hazard points in the rainstorm area,which greatly slows down the response speed of the system,resulting in the failure to provide the users with the rainfall query data,the potential geological hazard points data in the rainstorm area and interpolation results in time.In order to solve this problem,this paper proposes to store the spatial data in the spatial database,query the spatial data and convert it into an object array,which can replace the intersection of grid and point surface.Through the comparison before and after the model optimization,the model before optimization can be concluded that under the premise of not affecting the accuracy,the response speed of the model is greatly improved,the response time of the system is reduced,and the user experience is optimized.3)Spatial data management.In order to attach the optimized model,the system data is stored in the mode of centralized management by using database in the server.Through a series of operations,such as updating,querying,calculating and updating the spatial data in the database,the service server can complete the query function of geological hazard hidden points in the rainstorm area by using the spatial database operation.4)The design of the rainfall analysis system of geological disaster.The system uses HTML,CSS,Arc GIS API for Java Script,vue.js and other front-end technologies for secondary development to complete user interface customization.Based on the flask back-end framework,using Python language to complete the preparation of the system business server,and realize the database operation functions such as connection,update,query and calculation in the system.Python language combines with Arc Py third-party site package to optimize the geographical processing model. |
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