Innovative Methods for Mapping the Suitability of Nature-Based Solutions for Landslide Risk Reduction
Creators
- 1. Water Supply Sanitation Environmental Engineering Department, IHE Delft Institute for Water Education
- 2. GISIG Geographical Information Systems International Group
- 3. International Institute of Aquaculture and Aquatic Sciences (I-AQUAS), Universiti Putra Malaysia
- 4. Swiss Federal Institute of Aquatic Science and Technology (Eawag),
- 5. Institute of River and Coastal Engineering, Hamburg University of Technology (TUHH)
Description
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 naturebased
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 largescale
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.
Files
land-12-01357.pdf
Files
(5.3 MB)
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