Dynamic risk assessment method for mountain torrent disasters coupled with hyperspectral monitoring and gis

Abstract

The invention discloses a dynamic risk assessment method for mountain torrent disasters coupled with hyperspectral monitoring and GIS. It includes the following steps: Step 1: Construct a hyperspectral remote sensing technology application system; Step 2: Extract information related to mountain torrent disasters; Step 3: Simulate the evolution and disaster process of single and compound disasters; Step 4: Build a stepwise regression equation ; Step 5: Determine the index system of the risk of mountain torrent disaster; Step 6: Obtain the risk map of mountain torrent disaster and the result map of mountain torrent disaster vulnerability; Step 7: After normalization, obtain the risk map of mountain torrent disaster at multiple spatial scales; Step 8 : To divide the flash flood disaster risk zoning in a specific area. The invention has the advantages of realizing the accuracy, reliability and timeliness of the basic data in areas prone to mountain torrent disasters.

Description

technical field [0001] The invention relates to the technical field of mountain torrent disaster monitoring and risk assessment, and more specifically relates to a method for dynamic risk assessment of mountain torrent disasters coupled with hyperspectral monitoring and GIS methods. Background technique [0002] my country is one of the countries with the most serious natural disasters in the world. There are many types of disasters, wide distribution area, high frequency of occurrence, and heavy losses. Among the many disasters, mountain torrents and their secondary derived disasters are the most serious disaster problems faced every year. By the end of 2019, more than 40 billion yuan had been invested in project construction across the country. A mountain torrent disaster monitoring and early warning system and a group monitoring and group prevention system suitable for my country's national conditions have been initially established, and the project has significant benef...

AI Technical Summary

Problems solved by technology

However, the objects of all these evaluations are often single disasters such as mudslides, landslides, or simple river floods, and the evaluation units are basically based on administrative regions, lacking in systematization of river basins and completeness of disasters, and the selection of evaluation indicators is also incomparable

Secondly, the current results of large-scale mountain torrent disaster zoning are basically a black box model, which does not fully give the risk, vulnerability and risk level of each mountain torrent gully, so it is impossible to accurately judge the risk level of mountain torrents in different regions

Furthermore, the information update of various carriers lags behind, and the flexibility of the mountain torrent disaster monitoring system is poor

In particular, due to the shortcomings of monitoring technology, the information of environmental risk factors in mountain torrent disaster-prone areas has changed, which cannot be reflected in the evaluation indicators in a timely and accurate manner.

The investigation of key hidden dangers is relatively difficult, and the emergency response and processing capabilities are not enough

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