Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change

This paper reframes the socio-hydrology analysis as an optimization problem. To achieve this, we first develop a valuation scheme to estimate net benefits of development in a flood plain, consisting of benefits obtained from land and housing, less the costs of flood management and flood damage. Then...

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Main Authors: Luis M. Abadie, Anil Markandya, Marc B. Neumann
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/11/10/2073
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spelling doaj-580ce6ebf9fa41f7af27336a43db41852020-11-25T01:50:57ZengMDPI AGWater2073-44412019-10-011110207310.3390/w11102073w11102073Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate ChangeLuis M. Abadie0Anil Markandya1Marc B. Neumann2Basque Centre for Climate Change BC3, Sede Building 1, 1st floor, Scientific Campus of the University of the Basque Country, 48940 Leioa, SpainBasque Centre for Climate Change BC3, Sede Building 1, 1st floor, Scientific Campus of the University of the Basque Country, 48940 Leioa, SpainBasque Centre for Climate Change BC3, Sede Building 1, 1st floor, Scientific Campus of the University of the Basque Country, 48940 Leioa, SpainThis paper reframes the socio-hydrology analysis as an optimization problem. To achieve this, we first develop a valuation scheme to estimate net benefits of development in a flood plain, consisting of benefits obtained from land and housing, less the costs of flood management and flood damage. Then we look for an optimal safety factor for the levee heightening strategy within the ‘Technosociety’ scenario for a given time series of future flood events. This is further extended to finding an optimal strategy in the case of uncertainty concerning flood timings and intensities. We suggest an approach for both stationary and non-stationary evolution of flood dynamics and examine how the levee heightening strategy is affected by the magnitude of climate change. We find that the preferred management option depends strongly on the value of the land services the area provides.https://www.mdpi.com/2073-4441/11/10/2073river floodingextreme eventsgeneralized extreme value distributionnon-stationarityoptimization under uncertainty
collection DOAJ
language English
format Article
sources DOAJ
author Luis M. Abadie
Anil Markandya
Marc B. Neumann
spellingShingle Luis M. Abadie
Anil Markandya
Marc B. Neumann
Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change
Water
river flooding
extreme events
generalized extreme value distribution
non-stationarity
optimization under uncertainty
author_facet Luis M. Abadie
Anil Markandya
Marc B. Neumann
author_sort Luis M. Abadie
title Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change
title_short Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change
title_full Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change
title_fullStr Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change
title_full_unstemmed Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change
title_sort accounting for economic factors in socio-hydrology: optimization under uncertainty and climate change
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2019-10-01
description This paper reframes the socio-hydrology analysis as an optimization problem. To achieve this, we first develop a valuation scheme to estimate net benefits of development in a flood plain, consisting of benefits obtained from land and housing, less the costs of flood management and flood damage. Then we look for an optimal safety factor for the levee heightening strategy within the ‘Technosociety’ scenario for a given time series of future flood events. This is further extended to finding an optimal strategy in the case of uncertainty concerning flood timings and intensities. We suggest an approach for both stationary and non-stationary evolution of flood dynamics and examine how the levee heightening strategy is affected by the magnitude of climate change. We find that the preferred management option depends strongly on the value of the land services the area provides.
topic river flooding
extreme events
generalized extreme value distribution
non-stationarity
optimization under uncertainty
url https://www.mdpi.com/2073-4441/11/10/2073
work_keys_str_mv AT luismabadie accountingforeconomicfactorsinsociohydrologyoptimizationunderuncertaintyandclimatechange
AT anilmarkandya accountingforeconomicfactorsinsociohydrologyoptimizationunderuncertaintyandclimatechange
AT marcbneumann accountingforeconomicfactorsinsociohydrologyoptimizationunderuncertaintyandclimatechange
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