Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan Himalaya
Abstract Landslides, floods, fires, windstorms, hailstorms, and earthquakes are major dangers in Bhutan due to historical events and their potential damage. At present, systematic collection of data is scarce and no multi-hazard zoning is reported in the existing literature for Bhutan. In addition,...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-03-01
|
| Series: | Geoenvironmental Disasters |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40677-023-00239-4 |
| _version_ | 1797863584625065984 |
|---|---|
| author | Karma Tempa Kezang Yuden |
| author_facet | Karma Tempa Kezang Yuden |
| author_sort | Karma Tempa |
| collection | DOAJ |
| description | Abstract Landslides, floods, fires, windstorms, hailstorms, and earthquakes are major dangers in Bhutan due to historical events and their potential damage. At present, systematic collection of data is scarce and no multi-hazard zoning is reported in the existing literature for Bhutan. In addition, for proper disaster management, recognizing the existence of the hazards and identifying the vulnerable areas are the first important tasks for any multi-hazard risk studies. To fill the gap, the main objective of this study is to prepare the multi-hazard zoning and assess the multi-hazard population risk for Bhutan on seven historical hazard events. To achieve this, we first collected data on the historical events of different periods based on the data availability and created a district-level database. A total of 1224 hazard events were retrieved. We then calculated the weighted score for individual hazards based on the number of occurrences and the degree of impact through a multi-criteria decision analysis model (MCDA) using the analytic hierarchy process (AHP). The district-wise individual hazard scores are then obtained using the weighted scores. The total hazard score (THS) was aggregated and normalized to obtain the district-wise multi-hazard scores. A multi-hazard zoning map was created in the open-source software QGIS, highlighting 70% of districts with moderate to severe multi-hazard vulnerability. Considering the population distribution in each district at the local levels, the multi-hazard score is integrated and the multi-hazard population risk is mapped. |
| first_indexed | 2024-04-09T22:37:50Z |
| format | Article |
| id | doaj.art-143f87f89183411c8d78802b4e14b97f |
| institution | Directory Open Access Journal |
| issn | 2197-8670 |
| language | English |
| last_indexed | 2024-04-09T22:37:50Z |
| publishDate | 2023-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Geoenvironmental Disasters |
| spelling | doaj.art-143f87f89183411c8d78802b4e14b97f2023-03-22T12:20:25ZengSpringerOpenGeoenvironmental Disasters2197-86702023-03-0110111510.1186/s40677-023-00239-4Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan HimalayaKarma Tempa0Kezang Yuden1Civil Engineering Department, College of Science and Technology, Royal University of BhutanCivil Engineering Department, College of Science and Technology, Royal University of BhutanAbstract Landslides, floods, fires, windstorms, hailstorms, and earthquakes are major dangers in Bhutan due to historical events and their potential damage. At present, systematic collection of data is scarce and no multi-hazard zoning is reported in the existing literature for Bhutan. In addition, for proper disaster management, recognizing the existence of the hazards and identifying the vulnerable areas are the first important tasks for any multi-hazard risk studies. To fill the gap, the main objective of this study is to prepare the multi-hazard zoning and assess the multi-hazard population risk for Bhutan on seven historical hazard events. To achieve this, we first collected data on the historical events of different periods based on the data availability and created a district-level database. A total of 1224 hazard events were retrieved. We then calculated the weighted score for individual hazards based on the number of occurrences and the degree of impact through a multi-criteria decision analysis model (MCDA) using the analytic hierarchy process (AHP). The district-wise individual hazard scores are then obtained using the weighted scores. The total hazard score (THS) was aggregated and normalized to obtain the district-wise multi-hazard scores. A multi-hazard zoning map was created in the open-source software QGIS, highlighting 70% of districts with moderate to severe multi-hazard vulnerability. Considering the population distribution in each district at the local levels, the multi-hazard score is integrated and the multi-hazard population risk is mapped.https://doi.org/10.1186/s40677-023-00239-4Multi-hazardAnalytic hierarchy process (AHP)Geographic information system (GIS)Population riskBhutan |
| spellingShingle | Karma Tempa Kezang Yuden Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan Himalaya Geoenvironmental Disasters Multi-hazard Analytic hierarchy process (AHP) Geographic information system (GIS) Population risk Bhutan |
| title | Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan Himalaya |
| title_full | Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan Himalaya |
| title_fullStr | Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan Himalaya |
| title_full_unstemmed | Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan Himalaya |
| title_short | Multi-hazard zoning for national scale population risk mapping: a pilot study in Bhutan Himalaya |
| title_sort | multi hazard zoning for national scale population risk mapping a pilot study in bhutan himalaya |
| topic | Multi-hazard Analytic hierarchy process (AHP) Geographic information system (GIS) Population risk Bhutan |
| url | https://doi.org/10.1186/s40677-023-00239-4 |
| work_keys_str_mv | AT karmatempa multihazardzoningfornationalscalepopulationriskmappingapilotstudyinbhutanhimalaya AT kezangyuden multihazardzoningfornationalscalepopulationriskmappingapilotstudyinbhutanhimalaya |