Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan
This study explores the impact of rainfall on the followed-up landslides after a severe typhoon and the relationship between various rainfall events and the occurrence, scale, and regional characteristics of the landslides, including second landslides. Moreover, the influence of land disturbance was...
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MDPI AG
2021-04-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/4/209 |
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| author | Chih-Ming Tseng Yie-Ruey Chen Chwen-Ming Chang Yung-Sheng Chue Shun-Chieh Hsieh |
| author_facet | Chih-Ming Tseng Yie-Ruey Chen Chwen-Ming Chang Yung-Sheng Chue Shun-Chieh Hsieh |
| author_sort | Chih-Ming Tseng |
| collection | DOAJ |
| description | This study explores the impact of rainfall on the followed-up landslides after a severe typhoon and the relationship between various rainfall events and the occurrence, scale, and regional characteristics of the landslides, including second landslides. Moreover, the influence of land disturbance was evaluated. The genetic adaptive neural network was used in combination with the texture analysis of the geographic information system for satellite image classification and interpretation to analyze land-use change and retrieve disaster records and surface information after five rainfall events from Typhoon Morakot (2009) to Typhoon Nanmadol (2011). The results revealed that except for extreme Morakot rains, the greater the degree of slope disturbance after rain, the larger the exposed slope. Extreme rainfall similar to Morakot strikes may have a greater impact on the bare land area than on slope disturbance. Moreover, the relationship between the bare land area and the index of land disturbance condition (<i>I<sub>LDC</sub></i>) is positive, and the ratio of the bare land area to the quantity of bare land after each rainfall increases with the <i>I<sub>LDC</sub></i>. With higher effective accumulative rainfall on the slope in the study area or greater slope disturbance, the landslide area at the second landslide point tended to increase. |
| first_indexed | 2024-03-10T12:43:36Z |
| format | Article |
| id | doaj.art-7e048eac57b849a9875a4f15e8cb673f |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T12:43:36Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-7e048eac57b849a9875a4f15e8cb673f2023-11-21T13:41:23ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-04-0110420910.3390/ijgi10040209Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern TaiwanChih-Ming Tseng0Yie-Ruey Chen1Chwen-Ming Chang2Yung-Sheng Chue3Shun-Chieh Hsieh4Department of Land Management and Development, Chang Jung Christian University, Tainan 71101, TaiwanDepartment of Land Management and Development, Chang Jung Christian University, Tainan 71101, TaiwanDepartment of Business Administration, Chang Jung Christian University, Tainan 71101, TaiwanMagong Airport Office, Civil Aeronautics Administration, MOTC, Penghu 88593, TaiwanDepartment of Land Management and Development, Chang Jung Christian University, Tainan 71101, TaiwanThis study explores the impact of rainfall on the followed-up landslides after a severe typhoon and the relationship between various rainfall events and the occurrence, scale, and regional characteristics of the landslides, including second landslides. Moreover, the influence of land disturbance was evaluated. The genetic adaptive neural network was used in combination with the texture analysis of the geographic information system for satellite image classification and interpretation to analyze land-use change and retrieve disaster records and surface information after five rainfall events from Typhoon Morakot (2009) to Typhoon Nanmadol (2011). The results revealed that except for extreme Morakot rains, the greater the degree of slope disturbance after rain, the larger the exposed slope. Extreme rainfall similar to Morakot strikes may have a greater impact on the bare land area than on slope disturbance. Moreover, the relationship between the bare land area and the index of land disturbance condition (<i>I<sub>LDC</sub></i>) is positive, and the ratio of the bare land area to the quantity of bare land after each rainfall increases with the <i>I<sub>LDC</sub></i>. With higher effective accumulative rainfall on the slope in the study area or greater slope disturbance, the landslide area at the second landslide point tended to increase.https://www.mdpi.com/2220-9964/10/4/209rainfall-induced landslidesecond landslidegenetic adaptive neural networkgeographic information system |
| spellingShingle | Chih-Ming Tseng Yie-Ruey Chen Chwen-Ming Chang Yung-Sheng Chue Shun-Chieh Hsieh Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan ISPRS International Journal of Geo-Information rainfall-induced landslide second landslide genetic adaptive neural network geographic information system |
| title | Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan |
| title_full | Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan |
| title_fullStr | Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan |
| title_full_unstemmed | Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan |
| title_short | Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan |
| title_sort | assessment of rainfall induced landslide distribution based on land disturbance in southern taiwan |
| topic | rainfall-induced landslide second landslide genetic adaptive neural network geographic information system |
| url | https://www.mdpi.com/2220-9964/10/4/209 |
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