Landslide susceptibility evaluation method introducing land utilization dynamic change
The invention provides a landslide susceptibility assessment method introducing land utilization dynamic change. The method comprises the following steps: 1, primarily selecting landslide evaluation factors, and constructing a landslide susceptibility evaluation factor database; 2, dynamic factors a...
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creator | ZHOU HOUBO XIAO GUIRONG LIN XUANXIN |
description | The invention provides a landslide susceptibility assessment method introducing land utilization dynamic change. The method comprises the following steps: 1, primarily selecting landslide evaluation factors, and constructing a landslide susceptibility evaluation factor database; 2, dynamic factors and land utilization change analysis are introduced, and the correlation between land utilization change and landslide development is quantitatively measured through the landslide frequency ratio; 3, constructing a frequency ratio model based on evaluation factors except land utilization, and determining a preliminary susceptibility partition; the same number of landslide negative samples are randomly extracted from the extremely low susceptible area of the frequency ratio model to form a machine learning data set, and model prediction effects before and after land utilization change factors are introduced are compared and analyzed by adopting LR; constructing a DT model, a GBDT model and an RF model, and performing |
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The method comprises the following steps: 1, primarily selecting landslide evaluation factors, and constructing a landslide susceptibility evaluation factor database; 2, dynamic factors and land utilization change analysis are introduced, and the correlation between land utilization change and landslide development is quantitatively measured through the landslide frequency ratio; 3, constructing a frequency ratio model based on evaluation factors except land utilization, and determining a preliminary susceptibility partition; the same number of landslide negative samples are randomly extracted from the extremely low susceptible area of the frequency ratio model to form a machine learning data set, and model prediction effects before and after land utilization change factors are introduced are compared and analyzed by adopting LR; constructing a DT model, a GBDT model and an RF model, and performing</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230804&DB=EPODOC&CC=CN&NR=116542530A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230804&DB=EPODOC&CC=CN&NR=116542530A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHOU HOUBO</creatorcontrib><creatorcontrib>XIAO GUIRONG</creatorcontrib><creatorcontrib>LIN XUANXIN</creatorcontrib><title>Landslide susceptibility evaluation method introducing land utilization dynamic change</title><description>The invention provides a landslide susceptibility assessment method introducing land utilization dynamic change. The method comprises the following steps: 1, primarily selecting landslide evaluation factors, and constructing a landslide susceptibility evaluation factor database; 2, dynamic factors and land utilization change analysis are introduced, and the correlation between land utilization change and landslide development is quantitatively measured through the landslide frequency ratio; 3, constructing a frequency ratio model based on evaluation factors except land utilization, and determining a preliminary susceptibility partition; the same number of landslide negative samples are randomly extracted from the extremely low susceptible area of the frequency ratio model to form a machine learning data set, and model prediction effects before and after land utilization change factors are introduced are compared and analyzed by adopting LR; constructing a DT model, a GBDT model and an RF model, and performing</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNy7EKwjAQgOEsDqK-w_kAgrXWXYriIE7iWs7kbA_SSzAXoT69BX0Ap3_5_qm5nVFc8uwIUk6WovKdPesA9EKfUTkI9KRdcMCiz-CyZWnBjxtkHen7a9wg2LMF26G0NDeTB_pEi19nZnk8XOvTimJoKEW0JKRNfSmKXbXdVOV6X_5jPsxFOsU</recordid><startdate>20230804</startdate><enddate>20230804</enddate><creator>ZHOU HOUBO</creator><creator>XIAO GUIRONG</creator><creator>LIN XUANXIN</creator><scope>EVB</scope></search><sort><creationdate>20230804</creationdate><title>Landslide susceptibility evaluation method introducing land utilization dynamic change</title><author>ZHOU HOUBO ; XIAO GUIRONG ; LIN XUANXIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116542530A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHOU HOUBO</creatorcontrib><creatorcontrib>XIAO GUIRONG</creatorcontrib><creatorcontrib>LIN XUANXIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHOU HOUBO</au><au>XIAO GUIRONG</au><au>LIN XUANXIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Landslide susceptibility evaluation method introducing land utilization dynamic change</title><date>2023-08-04</date><risdate>2023</risdate><abstract>The invention provides a landslide susceptibility assessment method introducing land utilization dynamic change. The method comprises the following steps: 1, primarily selecting landslide evaluation factors, and constructing a landslide susceptibility evaluation factor database; 2, dynamic factors and land utilization change analysis are introduced, and the correlation between land utilization change and landslide development is quantitatively measured through the landslide frequency ratio; 3, constructing a frequency ratio model based on evaluation factors except land utilization, and determining a preliminary susceptibility partition; the same number of landslide negative samples are randomly extracted from the extremely low susceptible area of the frequency ratio model to form a machine learning data set, and model prediction effects before and after land utilization change factors are introduced are compared and analyzed by adopting LR; constructing a DT model, a GBDT model and an RF model, and performing</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Landslide susceptibility evaluation method introducing land utilization dynamic change |
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