Integrative Analysis Applying the Delta Dynamic Integrated Emulator Model in South-West Coastal Bangladesh View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2018

AUTHORS

Attila N. Lázár , Andres Payo , Helen Adams , Ali Ahmed , Andrew Allan , Abdur Razzaque Akanda , Fiifi Amoako Johnson , Emily J. Barbour , Sujit Kumar Biswas , John Caesar , Alexander Chapman , Derek Clarke , Jose A. Fernandes , Anisul Haque , Mostafa A. R. Hossain , Alistair Hunt , Craig W. Hutton , Susan Kay , Anirban Mukhopadhyay , Robert J. Nicholls , Abul Fazal M. Saleh , Mashfiqus Salehin , Sylvia Szabo , Paul G. Whitehead

ABSTRACT

A flexible meta-model, the Delta Dynamic Integrated Emulator Model (ΔDIEM), is developed to capture the socio-biophysical system of coastal Bangladesh as simply and efficiently as possible. Operating at the local scale, calculations occur efficiently using a variety of methods, including linear statistical emulators, which capture the behaviour of more complex models, internal process-based models and statistical associations. All components are tightly coupled, tested and validated, and their behaviour is explored with sensitivity tests. Using input data, the integrated model approximates the spatial and temporal change in ecosystem services and a number of livelihood, well-being, poverty and health indicators of archetypal households. Through the use of climate, socio-economic and governance scenarios plausible trajectories and futures of coastal Bangladesh can be explored. More... »

PAGES

525-574

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-71093-8_28

DOI

http://dx.doi.org/10.1007/978-3-319-71093-8_28

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104287677


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16 schema:description A flexible meta-model, the Delta Dynamic Integrated Emulator Model (ΔDIEM), is developed to capture the socio-biophysical system of coastal Bangladesh as simply and efficiently as possible. Operating at the local scale, calculations occur efficiently using a variety of methods, including linear statistical emulators, which capture the behaviour of more complex models, internal process-based models and statistical associations. All components are tightly coupled, tested and validated, and their behaviour is explored with sensitivity tests. Using input data, the integrated model approximates the spatial and temporal change in ecosystem services and a number of livelihood, well-being, poverty and health indicators of archetypal households. Through the use of climate, socio-economic and governance scenarios plausible trajectories and futures of coastal Bangladesh can be explored.
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