Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed)
Reviewing the damage caused by landslide proves the need to examine the factors influencing the occurrence of this phenomenon and the prediction of its occurrence. Therefore, the purpose of this study was to improve the prediction of landslide occurrence in the Taleghan watershed using Shannon Entro...
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Kharazmi University
2021-09-01
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Series: | تحقیقات کاربردی علوم جغرافیایی |
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Online Access: | http://jgs.khu.ac.ir/article-1-3143-en.pdf |
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author | Mehdi feyzolahpour marziye manafi reza khoshraftar |
author_facet | Mehdi feyzolahpour marziye manafi reza khoshraftar |
author_sort | Mehdi feyzolahpour |
collection | DOAJ |
description | Reviewing the damage caused by landslide proves the need to examine the factors influencing the occurrence of this phenomenon and the prediction of its occurrence. Therefore, the purpose of this study was to improve the prediction of landslide occurrence in the Taleghan watershed using Shannon Entropy Theory. Among the factors influencing the occurrence of landslide, ten factors of elevation, slope, slope direction, geology, vegetation, land use, water congestion, fault, road, rainfall as independent variables and sliding zones were considered as dependent variables. Then, using the entropy index, weighing was calculated for each of these factors based on their effectiveness, and the value map of each parameter was calculated according to its weight. In the next step, by mapping these maps with the map of landslides, a risk zoning map for the basin was drawn up. After calculating the Shannon entropy index, it was determined that 86% of the landslide area is in three medium-risk, high-risk and highly hazardous areas, indicating that the final map of the zoning is based on the correct method. Also, the total quality index (Qs) in this method was equal to 2.3, which indicates that this method is more reliable and more suitable for zoning of landslide hazard in Taleghan watershed. The accuracy of the method (P) for the entropy model was equal to 0.24, indicating a more appropriate resolution of the risk zones in this method. |
format | Article |
id | doaj-art-5ae55eeffa0848449f97fd98e830d722 |
institution | Kabale University |
issn | 2228-7736 2588-5138 |
language | fas |
publishDate | 2021-09-01 |
publisher | Kharazmi University |
record_format | Article |
series | تحقیقات کاربردی علوم جغرافیایی |
spelling | doaj-art-5ae55eeffa0848449f97fd98e830d7222025-01-31T17:28:21ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382021-09-01216295114Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed)Mehdi feyzolahpour0marziye manafi1reza khoshraftar23 Assistant Professor, Department of Geography, Faculty of Humanities and Social Sciences, Zanjan University, Zanjan, Iran Master Student of Geomorphology, Faculty of Humanities and Social Sciences, Zanjan University, Zanjan, Iran Assistant Professor, Department of Geography, Faculty of Humanities and Social Sciences, Zanjan University, Zanjan, Iran Assistant Professor, Department of Environment, Faculty of Science, Zanjan University, Iran. Reviewing the damage caused by landslide proves the need to examine the factors influencing the occurrence of this phenomenon and the prediction of its occurrence. Therefore, the purpose of this study was to improve the prediction of landslide occurrence in the Taleghan watershed using Shannon Entropy Theory. Among the factors influencing the occurrence of landslide, ten factors of elevation, slope, slope direction, geology, vegetation, land use, water congestion, fault, road, rainfall as independent variables and sliding zones were considered as dependent variables. Then, using the entropy index, weighing was calculated for each of these factors based on their effectiveness, and the value map of each parameter was calculated according to its weight. In the next step, by mapping these maps with the map of landslides, a risk zoning map for the basin was drawn up. After calculating the Shannon entropy index, it was determined that 86% of the landslide area is in three medium-risk, high-risk and highly hazardous areas, indicating that the final map of the zoning is based on the correct method. Also, the total quality index (Qs) in this method was equal to 2.3, which indicates that this method is more reliable and more suitable for zoning of landslide hazard in Taleghan watershed. The accuracy of the method (P) for the entropy model was equal to 0.24, indicating a more appropriate resolution of the risk zones in this method.http://jgs.khu.ac.ir/article-1-3143-en.pdflandslideshannon’s entropydanger classificationpredictiontaleghan |
spellingShingle | Mehdi feyzolahpour marziye manafi reza khoshraftar Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed) تحقیقات کاربردی علوم جغرافیایی landslide shannon’s entropy danger classification prediction taleghan |
title | Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed) |
title_full | Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed) |
title_fullStr | Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed) |
title_full_unstemmed | Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed) |
title_short | Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed) |
title_sort | landslide hazard zonation using of model shannon entropy case study taleghan watershed |
topic | landslide shannon’s entropy danger classification prediction taleghan |
url | http://jgs.khu.ac.ir/article-1-3143-en.pdf |
work_keys_str_mv | AT mehdifeyzolahpour landslidehazardzonationusingofmodelshannonentropycasestudytaleghanwatershed AT marziyemanafi landslidehazardzonationusingofmodelshannonentropycasestudytaleghanwatershed AT rezakhoshraftar landslidehazardzonationusingofmodelshannonentropycasestudytaleghanwatershed |