Mathematical programming for the support of river water management: water allocation and reservoir location
Surface and ground water availability is variable in space and time and the spatio-temporal pattern of this variability often does not match with the distributed use pattern of sectors and individual consumers. This mismatch can become controversial when overall water availability decreases, e...
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| Format: | doctoralThesis |
| Language: | eng |
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Katholieke Universiteit Leuven
2022
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| Online Access: | http://dspace.ucuenca.edu.ec/handle/123456789/38977 |
| _version_ | 1785802416530128897 |
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| author | Veintimilla Reyes, Jaime Eduardo |
| author2 | Van Orshoven, Jos |
| author_facet | Van Orshoven, Jos Veintimilla Reyes, Jaime Eduardo |
| author_sort | Veintimilla Reyes, Jaime Eduardo |
| collection | DSpace |
| description | Surface and ground water availability is variable in space and time and the spatio-temporal
pattern of this variability often does not match with the distributed use pattern of sectors and
individual consumers. This mismatch can become controversial when overall water
availability decreases, e.g., due to climate change, and competition for water increases. It is
in this context that the so called WEF-nexus between water for human consumption and
industrial use, water for Energy (hydropower) and water for Food (irrigated agriculture) (WEF)
has gained increasing attention in research, business and policy spheres, especially in regions
with more arid climate. An additional dimension of this nexus is the water required for
sustainable functioning of ecosystems in general and wetlands in particular.
Allocation of scarce water has challenged water managers for decades. The construction and
operation of reservoirs is the typical solution put forward. In this research we addressed the
optimization of the allocation of water available in a river-with-reservoir system towards
multiple users as a network flow optimization (NFO) problem. There are two classes of
methods to tackle NFO problems: heuristic models and mathematical models. Heuristic
models are able to provide a feasible solution within reasonable computation time whereas
mathematical models are able to come up with the optimal solution but often requiring
longer computation times. Since for strategic decisions computation times are less crucial,
the latter, i.e. linear programming (LP) models and mixed integer linear programming (MILP)
models were the subject of this research. LP and MILP models were formulated to optimize
the flow and storage of water through Water Supply Networks (WSN) created from
geographic information describing the river basin under study. A WSN encompasses a set of
oriented lines connected in georeferenced nodes whereby the lines represent river segments
and the nodes represent reservoirs, natural water bodies, inflow points and abstraction
points. Whereas inflow and abstraction points are characterized by time series of incoming
and required water volumes, the water volume available in river segments, reservoirs and
other water bodies, each having predetermined capacities, is updated throughout the
simulation period. |
| format | doctoralThesis |
| id | oai:dspace.ucuenca.edu.ec:123456789-38977 |
| institution | Universidad de Cuenca |
| language | eng |
| publishDate | 2022 |
| publisher | Katholieke Universiteit Leuven |
| record_format | dspace |
| spelling | oai:dspace.ucuenca.edu.ec:123456789-389772023-05-11T17:25:10Z Mathematical programming for the support of river water management: water allocation and reservoir location Veintimilla Reyes, Jaime Eduardo Van Orshoven, Jos Cattrysse, Dirk Vanegas Peralta, Pablo Cisneros Espinosa, Felipe Eduardo Ingeniería Civil Agua Clima Ríos Biociencias Surface and ground water availability is variable in space and time and the spatio-temporal pattern of this variability often does not match with the distributed use pattern of sectors and individual consumers. This mismatch can become controversial when overall water availability decreases, e.g., due to climate change, and competition for water increases. It is in this context that the so called WEF-nexus between water for human consumption and industrial use, water for Energy (hydropower) and water for Food (irrigated agriculture) (WEF) has gained increasing attention in research, business and policy spheres, especially in regions with more arid climate. An additional dimension of this nexus is the water required for sustainable functioning of ecosystems in general and wetlands in particular. Allocation of scarce water has challenged water managers for decades. The construction and operation of reservoirs is the typical solution put forward. In this research we addressed the optimization of the allocation of water available in a river-with-reservoir system towards multiple users as a network flow optimization (NFO) problem. There are two classes of methods to tackle NFO problems: heuristic models and mathematical models. Heuristic models are able to provide a feasible solution within reasonable computation time whereas mathematical models are able to come up with the optimal solution but often requiring longer computation times. Since for strategic decisions computation times are less crucial, the latter, i.e. linear programming (LP) models and mixed integer linear programming (MILP) models were the subject of this research. LP and MILP models were formulated to optimize the flow and storage of water through Water Supply Networks (WSN) created from geographic information describing the river basin under study. A WSN encompasses a set of oriented lines connected in georeferenced nodes whereby the lines represent river segments and the nodes represent reservoirs, natural water bodies, inflow points and abstraction points. Whereas inflow and abstraction points are characterized by time series of incoming and required water volumes, the water volume available in river segments, reservoirs and other water bodies, each having predetermined capacities, is updated throughout the simulation period. Doctorado (PhD) en Ingeniería Leuven 2022-05-20T13:09:42Z 2022-05-20T13:09:42Z 2022-05-20 doctoralThesis http://dspace.ucuenca.edu.ec/handle/123456789/38977 eng TPHD;17 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ openAccess application/pdf 142 páginas application/pdf Katholieke Universiteit Leuven |
| spellingShingle | Ingeniería Civil Agua Clima Ríos Biociencias Veintimilla Reyes, Jaime Eduardo Mathematical programming for the support of river water management: water allocation and reservoir location |
| title | Mathematical programming for the support of river water management: water allocation and reservoir location |
| title_full | Mathematical programming for the support of river water management: water allocation and reservoir location |
| title_fullStr | Mathematical programming for the support of river water management: water allocation and reservoir location |
| title_full_unstemmed | Mathematical programming for the support of river water management: water allocation and reservoir location |
| title_short | Mathematical programming for the support of river water management: water allocation and reservoir location |
| title_sort | mathematical programming for the support of river water management: water allocation and reservoir location |
| topic | Ingeniería Civil Agua Clima Ríos Biociencias |
| url | http://dspace.ucuenca.edu.ec/handle/123456789/38977 |
| work_keys_str_mv | AT veintimillareyesjaimeeduardo mathematicalprogrammingforthesupportofriverwatermanagementwaterallocationandreservoirlocation |