Comparison of Existing and Modified Landslides Risk Algorithms by Development of Landslide Susceptibility Models Using GIS: A Case Study of Balakot, Pakistan
This research study highlights two different existing and modified landslide risk algorithms for the development of landslide susceptibility models. The modified algorithm based landslide risk susceptibility model has highlighted such slope failures which possess the rate of very high velocity of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mehran University of Engineering and Technology
2012-10-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
| Subjects: | |
| Online Access: | http://publications.muet.edu.pk/research_papers/pdf/pdf700.pdf |
| _version_ | 1828833917922181120 |
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| author | Abdul Salam Soomro Abdul Qadeer Khan Rajput Imdadullah Siddiqui |
| author_facet | Abdul Salam Soomro Abdul Qadeer Khan Rajput Imdadullah Siddiqui |
| author_sort | Abdul Salam Soomro |
| collection | DOAJ |
| description | This research study highlights two different existing and modified landslide risk algorithms for the
development of landslide susceptibility models. The modified algorithm based landslide risk susceptibility
model has highlighted such slope failures which possess the rate of very high velocity of the triggering
at the local scale. The case study of this research is Balakot, one of the ruined city by the terrible
earthquake induced landslide fissuring there in 2005. One of the previous landslide risk algorithm,
developed by Varnes in 1984, was selected was modified by introducing additional parameters and criteria
along with the modified landslide risk algorithm. The both algorithms entitled as mathematical models
were incorporated in GIS (Geographical Information Systems) and were tested, compared and validated
by the previous landslide occurred data, called as landslide inventory data. The statistical tests were
applied to quantify various predicted regions in accordance of the verification of the predicted models.
This comparison portrayed the significant difference in both models due to the notable difference due to
significant control event parameters. It is assured that this research will help the decision makers by
applying the modified algorithm based landslide susceptibility models in the field to avoid the landslide
hazards for the future. |
| first_indexed | 2024-12-12T17:29:32Z |
| format | Article |
| id | doaj.art-a1fb69ab2ff14d3cb7ab181772f332d9 |
| institution | Directory Open Access Journal |
| issn | 0254-7821 2413-7219 |
| language | English |
| last_indexed | 2024-12-12T17:29:32Z |
| publishDate | 2012-10-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj.art-a1fb69ab2ff14d3cb7ab181772f332d92022-12-22T00:17:25ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192012-10-01314677682700Comparison of Existing and Modified Landslides Risk Algorithms by Development of Landslide Susceptibility Models Using GIS: A Case Study of Balakot, PakistanAbdul Salam SoomroAbdul Qadeer Khan RajputImdadullah SiddiquiThis research study highlights two different existing and modified landslide risk algorithms for the development of landslide susceptibility models. The modified algorithm based landslide risk susceptibility model has highlighted such slope failures which possess the rate of very high velocity of the triggering at the local scale. The case study of this research is Balakot, one of the ruined city by the terrible earthquake induced landslide fissuring there in 2005. One of the previous landslide risk algorithm, developed by Varnes in 1984, was selected was modified by introducing additional parameters and criteria along with the modified landslide risk algorithm. The both algorithms entitled as mathematical models were incorporated in GIS (Geographical Information Systems) and were tested, compared and validated by the previous landslide occurred data, called as landslide inventory data. The statistical tests were applied to quantify various predicted regions in accordance of the verification of the predicted models. This comparison portrayed the significant difference in both models due to the notable difference due to significant control event parameters. It is assured that this research will help the decision makers by applying the modified algorithm based landslide susceptibility models in the field to avoid the landslide hazards for the future.http://publications.muet.edu.pk/research_papers/pdf/pdf700.pdfGISLandslide InventoryLandslide SusceptibilityRisk Algorithm. |
| spellingShingle | Abdul Salam Soomro Abdul Qadeer Khan Rajput Imdadullah Siddiqui Comparison of Existing and Modified Landslides Risk Algorithms by Development of Landslide Susceptibility Models Using GIS: A Case Study of Balakot, Pakistan Mehran University Research Journal of Engineering and Technology GIS Landslide Inventory Landslide Susceptibility Risk Algorithm. |
| title | Comparison of Existing and Modified Landslides Risk
Algorithms by Development of Landslide Susceptibility
Models Using GIS: A Case Study of Balakot, Pakistan |
| title_full | Comparison of Existing and Modified Landslides Risk
Algorithms by Development of Landslide Susceptibility
Models Using GIS: A Case Study of Balakot, Pakistan |
| title_fullStr | Comparison of Existing and Modified Landslides Risk
Algorithms by Development of Landslide Susceptibility
Models Using GIS: A Case Study of Balakot, Pakistan |
| title_full_unstemmed | Comparison of Existing and Modified Landslides Risk
Algorithms by Development of Landslide Susceptibility
Models Using GIS: A Case Study of Balakot, Pakistan |
| title_short | Comparison of Existing and Modified Landslides Risk
Algorithms by Development of Landslide Susceptibility
Models Using GIS: A Case Study of Balakot, Pakistan |
| title_sort | comparison of existing and modified landslides risk algorithms by development of landslide susceptibility models using gis a case study of balakot pakistan |
| topic | GIS Landslide Inventory Landslide Susceptibility Risk Algorithm. |
| url | http://publications.muet.edu.pk/research_papers/pdf/pdf700.pdf |
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