@article{PAR00020048,
  title = {{S}ustainable hydroelectric dam management in the context of climate change : case of the {T}aabo dam in {C}ote d'{I}voire, {W}est {A}frica},
  author = {{M}ortey, {E}. {M}. and {K}ouassi, {K}. {L}. and {D}iedhiou, {A}rona and {A}nquetin, {S}. and {G}enoud, {M}. and {H}ingray, {B}. and {K}ouame, {D}. {G}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}anagement of hydroelectric dams is an aspect of sustainability that comes with resolving problems locally. {T}he use of global indicators has not been a sustainable solution, thus the need for local indicators. {B}esides, current sustainability assessment tools lack the integration of climate, making assessments in a climate change context impossible. {I}n this paper, we present management and sustainability assessment in a climate change context using sustainability indicators. {W}e modeled a change in the climate using normal, moderate, and extreme climate conditions defined by {S}tandardized {P}recipitation {I}ndices ({SPI}) values. {O}ut of 36 years analyzed, 24 years fall in the near-normal climate regime, and the remaining 12 years in moderate and extreme conditions, making near-normal climate regime the basis for managing the {T}aabo {D}am. {T}he impact of climate, techno-economic, and socio-environmental indicators on sustainability were investigated, and the results were analyzed according to scenarios. {C}limate adaptation shows higher sustainability indices than techno-economic and socio-environmental scenarios. {P}robability matrices show high and low values, respectively, for environmental and flooding indicators. {R}isk matrices, on the other hand, show that even with small probability values, risks still exist, and such small probabilities should not be taken as an absence of risk. {T}he study reveals that sustainability can be improved by integrating climate into existing assessment methods.},
  keywords = {sustainability ; indicators ; {S}tandardized {P}recipitation {I}ndex ({SPI}) ; multi-criteria decision analysis ; {A}ggregated {P}reference {I}ndices {S}ystem ; ({APIS}) ; sustainability index ; climate change ; {COTE} {D}'{IVOIRE}},
  booktitle = {},
  journal = {{S}ustainability},
  volume = {11},
  numero = {18},
  pages = {art. 4846 [32 p.]},
  year = {2019},
  DOI = {10.3390/su11184846},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00020048},
}