Hyperspectral monitoring and GIS coupled mountain torrent disaster dynamic risk assessment method

Abstract

The invention discloses a hyperspectral monitoring and GIS coupled mountain torrent disaster dynamic risk assessment method. The method comprises the following steps of: step 1, constructing a hyperspectral remote sensing technology application system; 2, extracting mountain torrent disaster related information; 3, simulating evolution and disaster forming processes of a single disaster type and a composite disaster type; 4, constructing a stepwise regression equation; 5, determining an index system of a mountain torrent disaster risk degree; 6, obtaining a mountain torrent disaster risk map and a mountain torrent disaster vulnerability result map; 7, performing normalization to obtain a multi-spatial-scale mountain torrent disaster risk map; and 8, dividing a mountain torrent disaster risk region of a specific region. The method has the advantage of realizing the accuracy, reliability and timeliness of the basic data information of a mountain torrent disaster susceptible area.

Description

technical field [0001] The invention relates to the technical field of mountain torrent disaster monitoring risk assessment, more specifically, it is a dynamic risk assessment index method for 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 areas, high frequency of occurrence, and heavy losses. Among the many disasters, mountain torrents and their secondary derivative disasters are the most serious disasters faced every year. As of the end of 2019, a total of more than 40 billion yuan has 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 disaster prevention and miti...

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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