Aligning the Global Delta Risk Index with SDG and SFDRR global frameworks to assess risk to socio-ecological systems in river deltas.

Exposure Framework integration Risk River deltas SDGs Sendai Framework for Disaster Risk Reduction Vulnerability

Journal

Sustainability science
ISSN: 1862-4057
Titre abrégé: Sustain Sci
Pays: Japan
ID NLM: 101731366

Informations de publication

Date de publication:
03 Mar 2023
Historique:
received: 09 06 2022
accepted: 17 01 2023
pubmed: 26 6 2023
medline: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

River deltas globally are highly exposed and vulnerable to natural hazards and are often over-exploited landforms. The Global Delta Risk Index (GDRI) was developed to assess multi-hazard risk in river deltas and support decision-making in risk reduction interventions in delta regions. Disasters have significant impacts on the progress towards the Sustainable Development Goals (SDGs). However, despite the strong interlinkage between disaster risk reduction and sustainable development, global frameworks are still developed in isolation and actions to address them are delegated to different institutions. Greater alignment between frameworks would both simplify monitoring progress towards disaster risk reduction and sustainable development and increase capacity to address data gaps in relation to indicator-based assessments for both processes. This research aims at aligning the GDRI indicators with the SDGs and the Sendai Framework for Disaster and Risk Reduction (SFDRR). While the GDRI has a modular indicator library, the most relevant indicators for this research were selected through a delta-specific impact chain designed in consultation with experts, communities and stakeholders in three delta regions: the Red River and Mekong deltas in Vietnam and the Ganges-Brahmaputra-Meghna (GBM) delta in Bangladesh and India. We analyse how effectively the 143 indicators for the GDRI match (or not) the SDG and SFDRR global frameworks. We demonstrate the interconnections of the different drivers of risk to better inform risk management and in turn support delta-level interventions towards improved sustainability and resilience of these Asian mega-deltas. The online version contains supplementary material available at 10.1007/s11625-023-01295-3.

Identifiants

pubmed: 37363314
doi: 10.1007/s11625-023-01295-3
pii: 1295
pmc: PMC9982774
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-21

Informations de copyright

© The Author(s) 2023.

Auteurs

Emilie Cremin (E)

School of Interdisciplinary Studies, The University of Glasgow, Dumfries Campus, Rutherford/McCowan Building, Crichton University Campus, DG1 4ZL Dumfries, Scotland, UK.

Jack O'Connor (J)

United Nations University, Bonn, Germany.

Sumana Banerjee (S)

Jadavpur University, Kolkata, India.

Ly Ha Bui (LH)

CRES, Vietnam National University, Ho Chi Minh City, Vietnam.

Abhra Chanda (A)

Jadavpur University, Kolkata, India.

Hieu Hong Hua (HH)

Can Tho University, Can Tho, Vietnam.

Da Van Huynh (D)

Can Tho University, Can Tho, Vietnam.

Hue Le (H)

CRES, Vietnam National University, Ho Chi Minh City, Vietnam.

Sonia Binte Murshed (SB)

Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

Salehin Mashfiqus (S)

Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

Anh Vu (A)

NatCen International, National Centre for Social Research, London, UK.

Zita Sebesvari (Z)

United Nations University, Bonn, Germany.

Andy Large (A)

School of Geography, Politics and Sociology, Newcastle University, Newcastle, UK.

Fabrice G Renaud (FG)

School of Interdisciplinary Studies, The University of Glasgow, Dumfries Campus, Rutherford/McCowan Building, Crichton University Campus, DG1 4ZL Dumfries, Scotland, UK.

Classifications MeSH