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Innovative methods for mapping the suitability of nature-based solutions for landslide risk reduction
Citation Link: https://doi.org/10.15480/882.8065
Publikationstyp
Journal Article
Date Issued
2023-07-07
Sprache
English
Author(s)
Devanand, Vishal Balji
Abdullah, Ahmad Fikri
TORE-DOI
Journal
Land
Volume
12
Issue
7
Article Number
1357
Citation
Land 12 (7): 1357 (2023)
Publisher DOI
Scopus ID
Publisher
Multidisciplinary Digital Publishing Institute
Peer Reviewed
true
The impacts of climate change are becoming more widespread across the world, with hydro-meteorological extreme events on the rise, causing severe threats to nature and communities. Increasing trends in the frequency and intensity of floods and landslides have been projected by climate models. This necessitates the development of more effective measures such as nature-based solutions (NBS) which can complement grey infrastructures. Recent studies have identified knowledge gaps and limitations in existing research and tools that aid in spatial planning for the implementation of large-scale NBS and proposed new methodologies for the spatial allocation of large-scale NBS for flood risk reduction. This work presents a novel method for mapping the suitability of NBS addressing geo-hydrological hazards such as shallow landslides, debris flow, and rockfall, which are typically caused due to slope instability. This methodology incorporates landslide susceptibility mapping, and was used to create a toolbox ESRI ArcGIS environment to aid decision-makers in the planning and implementation of large-scale NBS. The spatial allocation toolbox was applied to the case study Portofino promontory, Liguria region, Italy, and 70% of the area was found to be highly susceptible to landslides. The produced suitability maps show that 41%, 33%, and 65% of the study area is suitable for the restoration of terraces, bio-engineering, and vegetative measures such as NBS for landslide risk reduction.
Subjects
nature-based solutions
climate change
afforestation
suitability mapping
landslide risk reduction
DDC Class
550: Earth Sciences, Geology
620: Engineering
624: Civil Engineering, Environmental Engineering
Publication version
publishedVersion
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Name
land-12-01357.pdf
Type
Main Article
Size
5.1 MB
Format
Adobe PDF