PREFIX rdf: PREFIX rdfs: PREFIX skos: PREFIX owl: PREFIX xsd: PREFIX dcterms: PREFIX dcat: PREFIX dcmitype: PREFIX foaf: PREFIX geo: PREFIX vcard: PREFIX prov: PREFIX odrs: PREFIX sosa: PREFIX sdo: PREFIX ef: PREFIX doo: PREFIX adms: PREFIX : :740821f3-92c6-48fa-ade7-526521a5aaba dcterms:title "The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025" ; dcterms:identifier ; adms:identifier ; dcterms:bibliographicCitation "Cremin, E., Le, H., Hua, H.H., Murshed, S., Mashfiqus, S., Banerjee, S., Ghosh, T., Renaud, F., Baron, L. (2026). The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/740821f3-92c6-48fa-ade7-526521a5aaba" ; dcterms:description "The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction, and environmental governance, including teams linked to the United Nations University, University of Glasgow and partner universities. The GDRI is a modular library of 143 indicators selected following consultations with stakeholders during workshops. After reviewing data availability, the current dataset comprises 47 indicators with data comparable across 3 deltas in 3 countries (India, Bangladesh, Vietnam). The GDRI combines several categories of data to measure risk in river deltas (please refer to the readme file for full explanation of the data categories): 1. Hazard data describing environmental threats affecting deltas, including: river flooding, coastal flooding, cyclones and storm surges, erosion, land subsidence, salinity intrusion, sea-level rise, and droughts and extreme rainfall. Additionally, multi-hazard layers are often derived from: remote sensing, climate models, hydrological and flood simulations, and national disaster databases. 2. Exposure data to identify what is exposed to hazards: population density, settlements and infrastructure, agricultural land, ecosystems (mangroves, wetlands, fisheries). 3. Vulnerability indicators, such as: poverty, malnutrition, access to sanitation and healthcare, education. gender inequality, livelihood dependence on natural resources, ecosystem degradation, and institutional capacity. 4. Coping and adaptive capacity data to measure the ability of communities and ecosystems to respond to hazards: governance quality, disaster preparedness, infrastructure access, social protection systems, ecological robustness, and community networks. The GDRI was created because river deltas are among the world's most vulnerable regions under climate change and environmental pressure. The dataset explicitly aims to bridge the gap between disaster-risk frameworks and sustainability frameworks. The GDRI enables comparisons of different river deltas globally at sub-delta administrative scales. This dataset present the application been applied for the Mekong Delta, the Red River Delta and Ganges-Brahmaputra-Meghna Delta.. The subnational Global Delta Risk Index 2025 gathered data from 28,608 villages across the Red River delta (Vietnam), the Mekong delta (Vietnam) and the Ganges-Brahmaputra-Meghna delta (India and Bangladesh)." ; dcterms:provenance [ a dcterms:ProvenanceStatement ; rdfs:label "To develop the Global Delta Risk Index, several factors are examined for each delta. These include locational factors, social susceptibility, lack of coping and adaptation capacities, ecosystem sensitivity, lack of ecosystem robustness, population exposure (in relation to climate, salinity, flooding, cyclones, storm surges), ecosystem exposure, agriculture exposure, aquaculture exposure, social-ecological vulnerability, social-ecological exposure, and social-ecological risk. Please refer to the metadata for full explanation of the dataset lineage. This GDRI approach provides the following aspects: Scale - Sub-delta administrative units Type - Composite socio-ecological risk index Data sources - Remote sensing, census, climate models, stakeholder input Method - Indicator-based multi-hazard assessment Focus - Human + ecological vulnerability Goal - Decision support for resilience and sustainability The GDRI uses a mixed-method and multi-source methodology combining: Step 1: Conceptual framework design Step 2: Stakeholder consultations and Workshops to identify locally relevant risks and indicators Step 3: Literature review Step 4: Spatial and statistical integration Step 5: Scenario modelling List of relevant indicators was defined with stakeholders and experts in 7 focus groups: 3 in the Mekong delta, 3 in the GBM-B and 1 in the RRD - Scoring has been performed through online survey with 78 stakeholders and experts from 4 river deltas (including the GBM-I online) - Secondary data collected online (please refer to the metadata for the full list of secondary data sources)." ] ; dcterms:spatial [ a dcterms:Location ; dcat:bbox "POLYGON((104.658 8.485, 104.658 11.018, 107.275 11.018, 107.275 8.485, 104.658 8.485))"^^geo:wktLiteral ; ] ; dcterms:spatial [ a dcterms:Location ; dcat:bbox "POLYGON((105.415 19.901, 105.415 21.391, 107.284 21.391, 107.284 19.901, 105.415 19.901))"^^geo:wktLiteral ; ] ; dcterms:spatial [ a dcterms:Location ; dcat:bbox "POLYGON((87.654 21.638, 87.654 23.565, 89.127 23.565, 89.127 21.638, 87.654 21.638))"^^geo:wktLiteral ; ] ; dcterms:spatial [ a dcterms:Location ; dcat:bbox "POLYGON((88.715 21.442, 88.715 24.176, 91.947 24.176, 91.947 21.442, 88.715 21.442))"^^geo:wktLiteral ; ] ; dcat:contactPoint :740821f3-92c6-48fa-ade7-526521a5aaba_c0 ; dcterms:publisher ; dcterms:subject , , , "Multi-hazard risk", "Social and ecological vulnerabilities", "Adaptative capacities", "Ecological robustness", "Social susceptibility", "Ecological sensitivity", "Vietnam", "Bangladesh", "India", "Mekong River Delta", "Red River Delta", "Ganges Brahmaputra Meghna Delta" ; prov:wasGeneratedBy ; a dcat:Dataset; dcterms:type dcmitype:Dataset ; dcterms:available "2026-07-03"^^xsd:date ; dcat:landingPage , ; dcterms:license ; dcterms:accessRights ; dcterms:theme , , ; dcterms:creator , :740821f3-92c6-48fa-ade7-526521a5aaba_a1, :740821f3-92c6-48fa-ade7-526521a5aaba_a2, , , , , , ; dcterms:language . :740821f3-92c6-48fa-ade7-526521a5aaba_c0 a foaf:Person ; foaf:name "Emilie Cremin" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . a foaf:Organization ; foaf:name "NERC EDS Environmental Information Data Centre" ; vcard:hasEmail "info@eidc.ac.uk" ; foaf:member ; . a foaf:Person ; foaf:name "Cremin, E." ; foaf:familyName "Cremin" ; foaf:givenName "Emilie" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . :740821f3-92c6-48fa-ade7-526521a5aaba_a1 a foaf:Person ; foaf:name "Le, H." ; foaf:familyName "Le" ; foaf:givenName "Hue" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . :740821f3-92c6-48fa-ade7-526521a5aaba_a2 a foaf:Person ; foaf:name "Hua, H.H." ; foaf:familyName "Hua" ; foaf:givenName "Hieu Hong" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . a foaf:Person ; foaf:name "Murshed, S." ; foaf:familyName "Murshed" ; foaf:givenName "Sonia" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . a foaf:Person ; foaf:name "Mashfiqus, S." ; foaf:familyName "Mashfiqus" ; foaf:givenName "Salehin" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . a foaf:Person ; foaf:name "Banerjee, S." ; foaf:familyName "Banerjee" ; foaf:givenName "Sumana" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . a foaf:Person ; foaf:name "Ghosh, T." ; foaf:familyName "Ghosh" ; foaf:givenName "Tuhin" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . a foaf:Person ; foaf:name "Renaud, F." ; foaf:familyName "Renaud" ; foaf:givenName "Fabrice" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member ; . a foaf:Person ; foaf:name "Baron, L." ; foaf:familyName "Baron" ; foaf:givenName "Loïc" ; vcard:hasEmail "emilie.cremin@gmail.com" ; foaf:member [foaf:name "Data Guard"] ; . a skos:Concept; skos:prefLabel "Environmental risk"; rdfs:label "Environmental risk" . a skos:Concept; skos:prefLabel "Ecosystem services"; rdfs:label "Ecosystem services" . a skos:Concept; skos:prefLabel "Modelling"; rdfs:label "Modelling" . a foaf:Organization ; foaf:name "University of Lausanne" . a foaf:Organization ; foaf:name "Vietnam National University, Hanoi" . a foaf:Organization ; foaf:name "Can Tho University" . a foaf:Organization ; foaf:name "Bangladesh University of Engineering and Technology" . a foaf:Organization ; foaf:name "Jadavpur University" . a foaf:Organization ; foaf:name "University of Glasgow" . a prov:Activity ; rdfs:label "UKRI GCRF Living Deltas Hub" .