The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 24, 2023

Filed:

Mar. 17, 2023
Applicant:

Nanjing University of Information Science & Technology, Nanjing, CN;

Inventors:

Tong Jiang, Nanjing, CN;

Qigen Lin, Nanjing, CN;

Guojie Wang, Nanjing, CN;

Yanjun Wang, Nanjing, CN;

Buda Su, Beijing, CN;

Jianqing Zhai, Beijing, CN;

Jinlong Huang, Nanjing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/00 (2006.01); G01W 1/14 (2006.01);
U.S. Cl.
CPC ...
G01V 1/008 (2013.01); G01W 1/14 (2013.01); G01V 2210/612 (2013.01); G01W 2201/00 (2013.01);
Abstract

An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.


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