Mathieu Genoud
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Mathieu Genoud has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Arona Diedhiou
UFR SSMT, LASMES, University Félix Houphouët-Boigny Abidjan-Cocody, Abidjan, Côte d’Ivoire
1 shared publication - Benoit Hingray
Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, Grenoble, France
1 shared publication - Didier Guy Marcel Kouame
Ivory Coast National Company of Electricity (CIE), 01 BP 6923 Abidjan 01, Côte D’Ivoire
1 shared publication - Eric Mensah Mortey
Earth Observation Research and Innovation Center (EORIC), University of Energy and Natural Resources, P. O. Box 214, Sunyani, Ghana
1 shared publication - Kouakou Lazare Kouassi
Département des Sciences de la Terre, Université Jean Lorougnon Guédé, Daloa, Côte d’Ivoire
1 shared publication - Sandrine Anquetin
Univ. Grenoble Alpes, IRD, CNRS, INRAE, Grenoble INP, IGE, 38000 Grenoble, France
1 shared publication
Latest Publications
- Open Access
- 5 September 2019
- Published by MDPI AG in Sustainability
- Vol. 11 (18) , 4846
Sustainable Hydroelectric Dam Management in the Context of Climate Change: Case of the Taabo Dam in Côte D’Ivoire, West Africa
Management of hydroelectric dams is an aspect of sustainability that comes with resolving problems locally. The use of global indicators has not been a sustainable solution, thus the need for local indicators. Besides, current sustainability assessment tools lack the integration of climate, making assessments in a climate change context impossible. In this paper, we present management and sustainability assessment in a climate change context using sustainability indicators. We modeled a change in the climate using normal, moderate, and extreme climate conditions defined by Standardized Precipitation Indices (SPI) values. Out 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 Taabo Dam. The impact of climate, techno-economic, and socio-environmental indicators on sustainability were investigated, and the results were analyzed according to scenarios. Climate adaptation shows higher sustainability indices than techno-economic and socio-environmental scenarios. Probability matrices show high and low values, respectively, for environmental and flooding indicators. Risk 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. The study reveals that sustainability can be improved by integrating climate into existing assessment methods.
- 5 September 2019
- Published by MDPI AG in Sustainability
- Vol. 11 (18) , 4846
Open AccessSustainable Hydroelectric Dam Management in the Context of Climate Change: Case of the Taabo Dam in Côte D’Ivoire, West Africa
Management of hydroelectric dams is an aspect of sustainability that comes with resolving problems locally. The use of global indicators has not been a sustainable solution, thus the need for local indicators. Besides, current sustainability assessment tools lack the integration of climate, making assessments in a climate change context impossible. In this paper, we present management and sustainability assessment in a climate change context using sustainability indicators. We modeled a change in the climate using normal, moderate, and extreme climate conditions defined by Standardized Precipitation Indices (SPI) values. Out 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 Taabo Dam. The impact of climate, techno-economic, and socio-environmental indicators on sustainability were investigated, and the results were analyzed according to scenarios. Climate adaptation shows higher sustainability indices than techno-economic and socio-environmental scenarios. Probability matrices show high and low values, respectively, for environmental and flooding indicators. Risk 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. The study reveals that sustainability can be improved by integrating climate into existing assessment methods.