SWAT Literature Database for Peer-Reviewed Journal Articles

Title:MILP for optimizing water allocation and reservoir location: A case study for the Machángara River Basin, Ecuador 
Authors:Veintimilla-Reyes, J., A. De Meyer, D. Cattrysse, E. Tacuri, P. Vanegas, F. Cisneros and J. Van Orshoven 
Year:2019 
Journal:Water 
Volume (Issue):11(5) 
Pages: 
Article ID:1011 
DOI:10.3390/w11051011 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:model interface 
Secondary Application Category:reservoirs, ponds and/or other impoundment effects  
Watershed Description:323.55 km^2 Machángara River, a tributary of the Cuenca River (and larger Santiago River system) located in the Provinces of Azuay and Canar in southern Ecuador. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:The allocation of water flowing through a river-with-reservoirs system to optimally meet spatially distributed and temporally variable demands can be conceived as a network flow optimization (NFO) problem and addressed by linear programming (LP). In this paper, we present an extension of the strategic NFO-LP model of our previous model to a mixed integer linear programming (MILP) model to simultaneously optimize the allocation of water and the location of one or more new reservoirs; the objective function to minimize only includes two components (floods and water demand), whereas the extended LP-model described in this paper, establishes boundaries for each node (reservoir and river segments) and can be considered closer to the reality. In the MILP model, each node is called a “candidate reservoir” and corresponds to a binary variable (zero or one) within the model with a predefined capacity. The applicability of the MILP model is illustrated for the Machángara river basin in the Ecuadorian Andes. The MILP shows that for this basin the water-energy-food nexus can be mitigated by adding one or more reservoirs. 
Language:English 
Keywords:MILP; LP, Network Flow Optimization Problem (NFOP), water allocation, reservoir optimization, Machángara