THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA
Nowadays, Landslide has been one of the most frequent and seriously widespread natural hazards all over the world. How landslides can be monitored and predicted is an urgent research topic of the international landslide research community. Particularly, there is a lack of high quality and updated...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/105/2016/isprs-archives-XLI-B8-105-2016.pdf |
id |
doaj-4d9e6203f8f04fdf96e4b1b8b12dead6 |
---|---|
record_format |
Article |
spelling |
doaj-4d9e6203f8f04fdf96e4b1b8b12dead62020-11-24T21:19:10ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B810510710.5194/isprs-archives-XLI-B8-105-2016THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINAW. Y. Li0C. Liu1J. Gao2Institute of Urban Study, Shanghai Normal University, Shanghai, ChinaCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, ChinaInstitute of Urban Study, Shanghai Normal University, Shanghai, ChinaNowadays, Landslide has been one of the most frequent and seriously widespread natural hazards all over the world. How landslides can be monitored and predicted is an urgent research topic of the international landslide research community. Particularly, there is a lack of high quality and updated landslide risk maps and guidelines that can be employed to better mitigate and prevent landslide disasters in many emerging regions, including China. This paper considers national and regional scale, and introduces the framework on combining the empirical and physical models for landslide evaluation. Firstly, landslide susceptibility in national scale is mapped based on empirical model, and indicates the hot-spot areas. Secondly, the physically based model can indicate the process of slope instability in the hot-spot areas. The result proves that the framework is a systematic method on landslide hazard monitoring and early warning.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/105/2016/isprs-archives-XLI-B8-105-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
W. Y. Li C. Liu J. Gao |
spellingShingle |
W. Y. Li C. Liu J. Gao THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
W. Y. Li C. Liu J. Gao |
author_sort |
W. Y. Li |
title |
THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA |
title_short |
THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA |
title_full |
THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA |
title_fullStr |
THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA |
title_full_unstemmed |
THE FRAMEWORK ON MULTI-SCALE LANDSLIDE HAZARD EVALUATION IN CHINA |
title_sort |
framework on multi-scale landslide hazard evaluation in china |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2016-06-01 |
description |
Nowadays, Landslide has been one of the most frequent and seriously widespread natural hazards all over the world. How landslides
can be monitored and predicted is an urgent research topic of the international landslide research community. Particularly, there is a
lack of high quality and updated landslide risk maps and guidelines that can be employed to better mitigate and prevent landslide
disasters in many emerging regions, including China. This paper considers national and regional scale, and introduces the framework
on combining the empirical and physical models for landslide evaluation. Firstly, landslide susceptibility in national scale is mapped
based on empirical model, and indicates the hot-spot areas. Secondly, the physically based model can indicate the process of slope
instability in the hot-spot areas. The result proves that the framework is a systematic method on landslide hazard monitoring and
early warning. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/105/2016/isprs-archives-XLI-B8-105-2016.pdf |
work_keys_str_mv |
AT wyli theframeworkonmultiscalelandslidehazardevaluationinchina AT cliu theframeworkonmultiscalelandslidehazardevaluationinchina AT jgao theframeworkonmultiscalelandslidehazardevaluationinchina AT wyli frameworkonmultiscalelandslidehazardevaluationinchina AT cliu frameworkonmultiscalelandslidehazardevaluationinchina AT jgao frameworkonmultiscalelandslidehazardevaluationinchina |
_version_ |
1726006672563896320 |