An overview of multi-criteria decision analysis (MCDA) application in managing water-related disaster events: analyzing 20 years of literature for flood and drought …
This paper provides an overview of multi-criteria decision analysis (MCDA) applications in
managing water-related disasters (WRD). Although MCDA has been widely used in …
managing water-related disasters (WRD). Although MCDA has been widely used in …
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
Big data in criteria selection and identification in managing flood disaster events based on macro domain PESTEL analysis: case study of Malaysia adaptation index
MF Abdullah, Z Zainol, SY Thian, NH Ab Ghani… - Big Data and Cognitive …, 2022 - mdpi.com
The impact of Big Data (BD) creates challenges in selecting relevant and significant data to
be used as criteria to facilitate flood management plans. Studies on macro domain criteria …
be used as criteria to facilitate flood management plans. Studies on macro domain criteria …
[HTML][HTML] Using multi criteria decision analysis in a geographical information system framework to assess drought risk
In this study we use the Mun river basin to demonstrate how a Multi Criteria Decision
Analysis–Geographical Information Systems (MCDA-GIS) methodology can be used to …
Analysis–Geographical Information Systems (MCDA-GIS) methodology can be used to …
Addressing social and institutional vulnerabilities in the context of flood risk mitigation
PBR Alves, S Djordjević… - Journal of Flood Risk …, 2022 - Wiley Online Library
There are different perspectives of what constitutes disaster risk. Among the “hazards”‐
tradition research, more focus is given to modelling hazards, and less effort is made to …
tradition research, more focus is given to modelling hazards, and less effort is made to …
An integrated socio-environmental framework for mapping hazard-specific vulnerability and exposure in urban areas
Hazards act upon vulnerability and exposure to create disaster risk. Despite the growth of
disaster risk assessments, the number of approaches that develop vulnerability and …
disaster risk assessments, the number of approaches that develop vulnerability and …
Understanding the NEEDS for ACTING: An integrated framework for applying nature-based solutions in Brazil
Nature-based solutions (NBS) support the provision of multiple benefits for the environment
and society. First idealised in 2008, NBS are recommended by worldwide reports and …
and society. First idealised in 2008, NBS are recommended by worldwide reports and …
Deep learning for flood forecasting and monitoring in urban environments
This paper describes the core computational mechanisms used by an urban flood
forecasting and monitoring platform developed as part of a UK Newton Fund project in …
forecasting and monitoring platform developed as part of a UK Newton Fund project in …
Land-use and legislation-based methodology for the implementation of sustainable drainage systems in the semi-arid region of Brazil
P Barros Ramalho Alves, I Alexandra Alves Rufino… - Sustainability, 2020 - mdpi.com
In developing countries, the urbanisation process occurs with empirical urban management,
a high increase of impermeable areas, and a lack of connection between water resource …
a high increase of impermeable areas, and a lack of connection between water resource …
Multi-temporal built-up grids of Brazilian cities: how trends and dynamic modelling could help on resilience challenges?
The northeastern Brazilian region has been vulnerable to hydrometeorological extremes,
especially droughts, for centuries. A combination of natural climate variability (most of the …
especially droughts, for centuries. A combination of natural climate variability (most of the …