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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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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1724999253882830848 |