Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquake
AbstractNatural hazards usually cause heavy casualties and vast economic losses, as well as severe damage to the ecological environment. Quantitative and scientific evaluations of the ecological environment quality (EEQ) and its recovery trend after hazards can provide valuable insights for disaster...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2024.2314578 |
| _version_ | 1797262480521560064 |
|---|---|
| author | Yaohui Liu Yu Lin Wenyi Liu Jie Zhou Jin Wang |
| author_facet | Yaohui Liu Yu Lin Wenyi Liu Jie Zhou Jin Wang |
| author_sort | Yaohui Liu |
| collection | DOAJ |
| description | AbstractNatural hazards usually cause heavy casualties and vast economic losses, as well as severe damage to the ecological environment. Quantitative and scientific evaluations of the ecological environment quality (EEQ) and its recovery trend after hazards can provide valuable insights for disaster risk reductions. This study takes the 2010 Ms7.1 Yushu earthquake as an example to explore the spatiotemporal changes and driving mechanisms of EEQ before and after the earthquake using remote sensing and GIScience. First, the Moderate-resolution Imaging Spectroradiometer (MODIS) data was selected to establish the remote sensing based ecological index (RSEI). Then, we analyzed the spatiotemporal characteristics of Yushu’s EEQ from 2001 to 2020 and explored spatial autocorrelation relationships. Last, the driving mechanism of EEQ recovery in Yushu was analyzed using the GeoDetector model. The main conclusions are as follows: (1) From the perspective of the RSEI time series, the EEQ in Yushu County was strongly negatively affected during the earthquake and recovered well after the earthquake. (2) Based on a spatial distribution analysis, it can be observed that the regions in Yushu with relatively high EEQ are primarily concentrated in the central and southern areas. Conversely, the northwestern and southeastern areas display relatively lower quality. Moreover, the EEQ in Yushu County has a strong correlation and clustering, as evidenced by Moran’s I value exceeding 0.7 over the years. (3) Based on the GeoDetector results, elevation and population were found to be the key driving factors affecting changes in post-disaster EEQ. The interaction between elevation and slope plays the most critical role in the process of ecological recovery. This study provides a theoretical basis for the evolution of the post-disaster ecological environment in Yushu County and helps decision-makers better balance the relationship between social development and environmental protection in disaster management and urban planning. It also provides useful reference and guidance for future ecological protection and recovery under similar disasters. |
| first_indexed | 2024-04-24T23:57:47Z |
| format | Article |
| id | doaj.art-fcdc7c5e49a84806977f0b060ad573a9 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-04-24T23:57:47Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-fcdc7c5e49a84806977f0b060ad573a92024-03-14T11:20:52ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132024-12-0115110.1080/19475705.2024.2314578Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquakeYaohui Liu0Yu Lin1Wenyi Liu2Jie Zhou3Jin Wang4School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, ChinaSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, ChinaSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, ChinaInstitute of Geology, China Earthquake Administration, Beijing, ChinaInstitute of Resources and Environment Innovation, Shandong Jianzhu University, Jinan, ChinaAbstractNatural hazards usually cause heavy casualties and vast economic losses, as well as severe damage to the ecological environment. Quantitative and scientific evaluations of the ecological environment quality (EEQ) and its recovery trend after hazards can provide valuable insights for disaster risk reductions. This study takes the 2010 Ms7.1 Yushu earthquake as an example to explore the spatiotemporal changes and driving mechanisms of EEQ before and after the earthquake using remote sensing and GIScience. First, the Moderate-resolution Imaging Spectroradiometer (MODIS) data was selected to establish the remote sensing based ecological index (RSEI). Then, we analyzed the spatiotemporal characteristics of Yushu’s EEQ from 2001 to 2020 and explored spatial autocorrelation relationships. Last, the driving mechanism of EEQ recovery in Yushu was analyzed using the GeoDetector model. The main conclusions are as follows: (1) From the perspective of the RSEI time series, the EEQ in Yushu County was strongly negatively affected during the earthquake and recovered well after the earthquake. (2) Based on a spatial distribution analysis, it can be observed that the regions in Yushu with relatively high EEQ are primarily concentrated in the central and southern areas. Conversely, the northwestern and southeastern areas display relatively lower quality. Moreover, the EEQ in Yushu County has a strong correlation and clustering, as evidenced by Moran’s I value exceeding 0.7 over the years. (3) Based on the GeoDetector results, elevation and population were found to be the key driving factors affecting changes in post-disaster EEQ. The interaction between elevation and slope plays the most critical role in the process of ecological recovery. This study provides a theoretical basis for the evolution of the post-disaster ecological environment in Yushu County and helps decision-makers better balance the relationship between social development and environmental protection in disaster management and urban planning. It also provides useful reference and guidance for future ecological protection and recovery under similar disasters.https://www.tandfonline.com/doi/10.1080/19475705.2024.2314578Remote sensingecological environmentrecoveryRSEIMoran’s IGeoDetector |
| spellingShingle | Yaohui Liu Yu Lin Wenyi Liu Jie Zhou Jin Wang Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquake Geomatics, Natural Hazards & Risk Remote sensing ecological environment recovery RSEI Moran’s I GeoDetector |
| title | Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquake |
| title_full | Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquake |
| title_fullStr | Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquake |
| title_full_unstemmed | Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquake |
| title_short | Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yushu earthquake |
| title_sort | remote sensing perspective in exploring the spatiotemporal variation characteristics and post disaster recovery of ecological environment quality a case study of the 2010 ms7 1 yushu earthquake |
| topic | Remote sensing ecological environment recovery RSEI Moran’s I GeoDetector |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2024.2314578 |
| work_keys_str_mv | AT yaohuiliu remotesensingperspectiveinexploringthespatiotemporalvariationcharacteristicsandpostdisasterrecoveryofecologicalenvironmentqualityacasestudyofthe2010ms71yushuearthquake AT yulin remotesensingperspectiveinexploringthespatiotemporalvariationcharacteristicsandpostdisasterrecoveryofecologicalenvironmentqualityacasestudyofthe2010ms71yushuearthquake AT wenyiliu remotesensingperspectiveinexploringthespatiotemporalvariationcharacteristicsandpostdisasterrecoveryofecologicalenvironmentqualityacasestudyofthe2010ms71yushuearthquake AT jiezhou remotesensingperspectiveinexploringthespatiotemporalvariationcharacteristicsandpostdisasterrecoveryofecologicalenvironmentqualityacasestudyofthe2010ms71yushuearthquake AT jinwang remotesensingperspectiveinexploringthespatiotemporalvariationcharacteristicsandpostdisasterrecoveryofecologicalenvironmentqualityacasestudyofthe2010ms71yushuearthquake |