Innovative Methods for Mapping the Suitability of Nature-Based Solutions for Landslide Risk Reduction

Vishal Balaji Devanand, Adam Mubeen (), Zoran Vojinovic, Arlex Sanchez Torres, Guido Paliaga, Ahmad Fikri Abdullah, João P. Leitão, Natasa Manojlovic and Peter Fröhle
Additional contact information
Vishal Balaji Devanand: Water Supply Sanitation Environmental Engineering Department, IHE Delft Institute for Water Education, Westvest 7, 2611 AX Delft, The Netherlands
Adam Mubeen: Water Supply Sanitation Environmental Engineering Department, IHE Delft Institute for Water Education, Westvest 7, 2611 AX Delft, The Netherlands
Zoran Vojinovic: Water Supply Sanitation Environmental Engineering Department, IHE Delft Institute for Water Education, Westvest 7, 2611 AX Delft, The Netherlands
Arlex Sanchez Torres: Water Supply Sanitation Environmental Engineering Department, IHE Delft Institute for Water Education, Westvest 7, 2611 AX Delft, The Netherlands
Guido Paliaga: GISIG Geographical Information Systems International Group, Via Piacenza 54, 16138 Genova, Italy
Ahmad Fikri Abdullah: International Institute of Aquaculture and Aquatic Sciences (I-AQUAS), Universiti Putra Malaysia, Port Dickson 70150, Malaysia
João P. Leitão: Swiss Federal Institute of Aquatic Science and Technology (Eawag), Überlandstrasse 133, CH-8600 Dübendorf, Switzerland
Natasa Manojlovic: Institute of River and Coastal Engineering, Hamburg University of Technology (TUHH), Am Schwarzenberg-Campus 1, 21073 Hamburg, Germany
Peter Fröhle: Institute of River and Coastal Engineering, Hamburg University of Technology (TUHH), Am Schwarzenberg-Campus 1, 21073 Hamburg, Germany

Land, 2023, vol. 12, issue 7, 1-15

Abstract: 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.

Keywords: nature-based solutions; climate change; afforestation; suitability mapping; landslide risk reduction (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2073-445X/12/7/1357/pdf (application/pdf)
https://www.mdpi.com/2073-445X/12/7/1357/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:7:p:1357-:d:1188726

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().