Research On Early Warning Model Of Geological Hazards Based On Big Data

Geological disasters occur frequently in China,and are greatly affected by geological disasters and their secondary disasters.Every year,geological disasters bring huge casualties and economic losses to our country.However,traditional monitoring and calculation methods have become increasingly unable to adapt to the general trend of increasing geological big data.Nowadays,with the continuous improvement of my country's informatization process,the development of new technologies and the research of new methods have also affected all aspects of geological disaster monitoring.The field of surveying and mapping has also entered a new era under the influence of big data.In terms of geological disaster big data early warning,it is possible to extract valuable information through research on geological big data spatial analysis,model prediction and other technologies,and provide early warning of possible geological disasters to reduce losses as much as possible.Based on the study of the basic concepts of geological disasters,risk assessment theories and methods,this paper analyzes the relationship between the elements of disasters,and derives three indicators that are more important for the occurrence and early warning of geological disasters.They are the proneness of geological disasters.Nature,geological hazard risk,geological hazard risk.At the same time,through big data analysis,it is found that these three indicators are related to many influencing factors such as the local social and economic development status,geological environmental conditions,and effective precipitation.Taking Hechi City in Guangxi as an example,this article first uses big data mining technology to obtain data from historical geological data,historical disaster occurrence data,network news and other data that have greater correlation with the three influencing indicators of geological disaster early warning.Secondly,data mining is conducted through susceptibility influencing factors,and a reasonable and feasible model is established to quantitatively evaluate the susceptibility of geological disasters;through rainfall-induced factors,the rainfall threshold table and the risk of geological disasters are established;and the local economy and humanities are explored through analysis.,Medical treatment and other factors,forming an assessment model and grading standard for the risk of geological disasters.Finally,this paper organically combines these three indicators to establish a risk early warning model based on analytic hierarchy process and fuzzy evaluation method,and establishes the prototype system of the model through this model,and verifies the accuracy of the early warning results for the Hechi area.It provides a new evaluation theory and method system for the early warning of geological disasters in Hechi area.