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Sustainable management of a coupled groundwater-agriculture hydrosystem using multi-criteria simulation based optimisation.
- Source :
-
Water science and technology : a journal of the International Association on Water Pollution Research [Water Sci Technol] 2013; Vol. 67 (3), pp. 689-98. - Publication Year :
- 2013
-
Abstract
- In this paper we present a new simulation-based integrated water management tool for sustainable water resources management in arid coastal environments. This tool delivers optimised groundwater withdrawal scenarios considering saltwater intrusion as a result of agricultural and municipal water abstraction. It also yields a substantially improved water use efficiency of irrigated agriculture. To allow for a robust and fast operation we unified process modelling with artificial intelligence tools and evolutionary optimisation techniques. The aquifer behaviour is represented using an artificial neural network (ANN) which emulates a numerical density-dependent groundwater flow model. The impact of agriculture is represented by stochastic crop water production functions (SCWPF). Simulation-based optimisation techniques together with the SCWPF and ANN deliver optimal groundwater abstraction and cropping patterns. To address contradicting objectives, e.g. profit-oriented agriculture vs. sustainable abstraction scenarios, we performed multi-objective optimisations using a multi-criteria optimisation algorithm.
Details
- Language :
- English
- ISSN :
- 0273-1223
- Volume :
- 67
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Water science and technology : a journal of the International Association on Water Pollution Research
- Publication Type :
- Academic Journal
- Accession number :
- 23202577
- Full Text :
- https://doi.org/10.2166/wst.2012.602