Amaury Tilmant

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This paper presents a fuzzy stochastic dynamic programming (FSDP) approach to derive steady-state multipurpose reservoir operating policies. The vagueness associated with some operating objectives as well as with the decision-making process is apprehended through fuzzy set theory. Operating objectives are considered as fuzzy sets and their membership(More)
Since 2013, hundreds of thousands of refugees have migrated southward to Jordan to escape the Syrian civil war that began in mid-2011. Evaluating impacts of conflict and migration on land use and transboundary water resources in an active war zone remains a challenge. However, spatial and statistical analyses of satellite imagery for the recent period of(More)
Modeling and analysis of collective management of water resources A. Tilmant, P. van der Zaag, and P. Fortemps UNESCO-IHE, Department of Management and Institution, Delft, The Netherlands Delft University of Technology, Delft, The Netherlands Faculté Polytechnique de Mons, Department of Applied Mathematics and Operational Research, Mons, Belgium Received: 4(More)
The estimation of spatially-variable actual evapotranspiration (AET) is a critical challenge to regional water resources management. We propose a new remote sensing method, the Triangle Algorithm with Variable Edges (TAVE), to generate daily AET estimates based on satellite-derived land surface temperature and the vegetation index NDVI. The TAVE captures(More)
Many river basins throughout the world are increasingly under pressure as water demands keep rising due to population growth, industrialization, urbanization and rising living standards. In the past, the typical answer to meet those demands focused on the supply side and involved the construction of hydraulic infrastructures to capture more water from(More)
This paper explores the impact of various group decision-making approaches on the performance of a multipurpose reservoir. The reservoir operation problem is solved by a continuous flexible stochastic dynamic program (FSDP) in which the variability and temporal persistence of the inflows are apprehended by a Markov model. Operating objectives are encoded as(More)
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