OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems

An approach based on a real coded Genetic Algorithm (GA) model was used to optimize water allocation from a coupled reservoir-groundwater system. The GA model considered five objectives: satisfying irrigation water demand, safeguarding water storage for the environment and fisheries, maximizing crop water productivity, protecting the downstream ecosystem against elevated soil salinity and hydromorphic issues, and reducing the unit cost of water. The model constraints are based on hydraulic and storage continuity requirements. The objectives and constraints were combined into a fitness function using a weighting factor and the penalty approaches. The decision variable was water allocation for irrigation demand from reservoir and groundwater. The irrigation water demands around the reservoir were estimated using the Food and Agriculture Organization (FAO) Penman-Monteith method in the water evaluation and planning (WEAP) software. The deterministic GA model was coded using Visual Basic 6 and a new tool for irrigation water management optimization (OPTIWAM) was developed. To validate the applicability of the deterministic model for the operation of coupled reservoir-groundwater systems, the Boura reservoir (in the center-west region of Burkina Faso) and the downstream irrigation area were used as a case study. Results show that the proposed methodology and the developed tool are effective and useful for determining optimal allocation of irrigation water. Furthermore, the methodology and tool can improve water resources management of coupled reservoir-groundwater systems.

[1]  Luciano Mateos,et al.  Modernization and optimization of irrigation systems to increase water productivity , 2006 .

[2]  R. Barker,et al.  Water Productivity in Agriculture: Limits and Opportunities for Improvement , 2003 .

[3]  M. Mohammad Rezapour Tabari,et al.  Multi-Objective Optimal Model for Conjunctive Use Management Using SGAs and NSGA-II Models , 2012, Water Resources Management.

[4]  Ajay Singh,et al.  Irrigation Planning and Management Through Optimization Modelling , 2013, Water Resources Management.

[5]  Li-Chiu Chang,et al.  Constrained genetic algorithms for optimizing multi-use reservoir operation , 2010 .

[6]  Deepti Rani,et al.  Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation , 2010 .

[7]  D. G. Regulwar,et al.  Derivation of Multipurpose Single Reservoir Release Policies with Fuzzy Constraints , 2010 .

[8]  S. Massuel,et al.  Land clearing, climate variability, and water resources increase in semiarid southwest Niger: A review , 2009 .

[9]  Duan Chen,et al.  Adapting the operation of two cascaded reservoirs for ecological flow requirement of a de-watered river channel due to diversion-type hydropower stations , 2013 .

[10]  Yongxin Xu,et al.  Review: Groundwater management and groundwater/surface-water interaction in the context of South African water policy , 2012, Hydrogeology Journal.

[11]  J. Venot,et al.  Valeurs d’usage ou performances techniques : comment apprécier le rôle des petits barrages en Afrique subsaharienne ? , 2011 .

[12]  C. Fraiture,et al.  Pirates or pioneers? unplanned irrigation around small reservoirs in Burkina Faso , 2014 .

[13]  Nicola Lamaddalena,et al.  The genetic algorithm approach for identifying the optimal operation of a multi-reservoirs on-demand irrigation system , 2009 .

[14]  Subhash Chander,et al.  Irrigation scheduling under a limited water supply , 1988 .

[15]  Mohamed Hedi Louati,et al.  Application of a Genetic Algorithm for the Optimization of a Complex Reservoir System in Tunisia , 2011 .

[16]  K. Katada,et al.  [Development of real-time CT fluoroscopy]. , 1994, Nihon Igaku Hoshasen Gakkai zasshi. Nippon acta radiologica.

[17]  Richard J. K. Taylor,et al.  Groundwater/surface-water interactions on deeply weathered surfaces of low relief: evidence from Lakes Victoria and Kyoga, Uganda , 2011 .

[18]  Arup Kumar Sarma,et al.  Genetic Algorithm for Optimal Operating Policy of a Multipurpose Reservoir , 2005 .

[19]  John W. Labadie,et al.  Optimal Operation of Multireservoir Systems: State-of-the-Art Review , 2004 .

[20]  Watchara Suiadee,et al.  A combined simulation–genetic algorithm optimization model for optimal rule curves of a reservoir: a case study of the Nam Oon Irrigation Project, Thailand , 2007 .

[21]  Xia Wei,et al.  An Improved Genetic Algorithm-Simulated Annealing Hybrid Algorithm for the Optimization of Multiple Reservoirs , 2008 .

[22]  Hamid R. Safavi,et al.  Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms , 2013, Water Resources Management.

[23]  V. Jothiprakash,et al.  Development of Operational Policy for a Multi-reservoir System in India using Genetic Algorithm , 2011 .

[24]  K. Villholth.  Groundwater irrigation for smallholders in Sub-Saharan Africa – a synthesis of current knowledge to guide sustainable outcomes , 2013 .

[25]  A. Senzanje,et al.  Estimation of small reservoir storage capacities in Limpopo River Basin using geographical information systems (GIS) and remotely sensed surface areas: Case of Mzingwane catchment , 2006 .

[26]  J. Venot,et al.  Discursive Framing : Debates over Small Reservoirs in the Rural South , 2011 .

[27]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[28]  Kalyanmoy Deb,et al.  A Comparative Analysis of Selection Schemes Used in Genetic Algorithms , 1990, FOGA.

[29]  Hao Wang,et al.  Optimized reservoir operation to balance human and environmental requirements: A case study for the Three Gorges and Gezhouba Dams, Yangtze River basin, China , 2013, Ecol. Informatics.

[30]  V. Jothiprakash,et al.  Comparison of Policies Derived from Stochastic Dynamic Programming and Genetic Algorithm Models , 2009 .

[31]  B. Voron,et al.  Programmation dynamique: application a la gestion d'une retenue pour l'irrigation / Dynamic programming: a model for an irrigation reservoir , 1989 .

[32]  D. Nagesh Kumar,et al.  Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm , 2006 .

[33]  Benedetto Matarazzo,et al.  Operating Rules of an Irrigation Purposes Reservoir Using Multi-Objective Optimization , 2008 .

[34]  H. Karambiri,et al.  Water balance of small reservoirs in the Volta basin: A case study of Boura reservoir in Burkina Faso , 2015 .

[35]  Alcigeimes B. Celeste,et al.  Evaluation of stochastic reservoir operation optimization models , 2009 .

[36]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[37]  Sh. Momtahen,et al.  Direct Search Approaches Using Genetic Algorithms for Optimization of Water Reservoir Operating Policies , 2007 .

[38]  Guillaume Favreau,et al.  Spatio-temporal variability of hydrological regimes around the boundaries between Sahelian and Sudanian areas of West Africa: A synthesis , 2009 .

[39]  J. Wolfer,et al.  A Decision Support System (DSS) for Water Resources Management, – Design and Results from a Pilot Study in Syria , 2008 .

[40]  William W.-G. Yeh,et al.  Reservoir Management and Operations Models: A State‐of‐the‐Art Review , 1985 .

[41]  V. Jothiprakash,et al.  Single Reservoir Operating Policies Using Genetic Algorithm , 2006 .

[42]  H. Md. Azamathulla,et al.  Comparison between genetic algorithm and linear programming approach for real time operation , 2008 .

[43]  Huang Qiang,et al.  Genetic Algorithms for Optimal Reservoir Dispatching , 2005 .

[44]  S Forrest,et al.  Genetic algorithms , 1996, CSUR.

[45]  Benjamin Schraven,et al.  Erratic rains and erratic markets: Environmental change, economic globalisation and the expansion of shallow groundwater irrigation in West Africa , 2008 .

[46]  M. Giordano.  Agricultural groundwater use and rural livelihoods in sub-Saharan Africa: A first-cut assessment , 2006 .

[47]  Bryan W. Karney,et al.  Reservoir operation in assigning optimal multi-crop irrigation areas , 2007 .

[48]  J. Polcher,et al.  Assessing the impact of climate variability and climate change on runoff in West Africa: the case of Senegal and Nakambe River basins , 2011 .

[49]  P. Vlek,et al.  Water productivity (WP) in reservoir irrigated schemes in the upper east region (UER) of Ghana , 2009 .

[50]  A. Pilpayeh,et al.  Optimization of multipurpose serial reservoir systems operation in deluge, normal rainfall, and drought conditions (a case study of Aras River Basin, Iran). , 2010 .

[51]  L. Lasdon,et al.  Integrated Hydrologic-Agronomic-Economic Model for River Basin Management , 2003 .

[52]  K. Srinivasa Raju,et al.  Optimal Reservoir Operation for Irrigation of Multiple Crops Using Genetic Algorithms , 2006 .

[53]  H. Mahoo,et al.  Crop water productivity of an irrigated maize crop in Mkoji sub-catchment of the Great Ruaha River Basin, Tanzania , 2006 .

[54]  Philippe Cecchi,et al.  Health impacts of small reservoirs in Burkina Faso. , 2009 .

[55]  Issam Nouiri,et al.  Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept , 2014, Water Resources Management.

[56]  Tammo S. Steenhuis,et al.  Water use and productivity of two small reservoir irrigation schemes in Ghana's upper east region , 2008 .

[57]  Li-Chiu Chang,et al.  Multi-tier interactive genetic algorithms for the optimization of long-term reservoir operation , 2011 .

[58]  Banafsheh Zahraieand,et al.  Development of reservoir operation policies considering variable agricultural water demands , 2009, Expert Syst. Appl..

[59]  Rodolfo Soncini-Sessa,et al.  A dimensionality reduction approach for many-objective Markov Decision Processes: Application to a water reservoir operation problem , 2014, Environ. Model. Softw..

[60]  B. Bouman,et al.  Rice production in water-scarce environments , 2003 .

[61]  H. Malano,et al.  Hydro-economic modelling of the Upper Bhima Catchment, India , 2009 .

[62]  Liang-Cheng Chang,et al.  Multi-objective Planning for Conjunctive Use of Surface and Subsurface Water Using Genetic Algorithm and Dynamics Programming , 2009 .

[63]  Ran Zhou,et al.  Adaptive Genetic Algorithm for Daily Optimal Operation of Cascade Reservoirs and its Improvement Strategy , 2013, Water Resources Management.

[64]  Elahe Fallah-Mehdipour,et al.  Development of Real-Time Conjunctive Use Operation Rules for Aquifer-Reservoir Systems , 2015, Water Resources Management.

[65]  Ajay Singh,et al.  An overview of the optimization modelling applications , 2012 .

[67]  Ross Kingwell,et al.  Optimizing competitive uses of water for irrigation and fisheries , 2011 .

[68]  Liang-Cheng Chang,et al.  Applying Genetic Algorithm and Neural Network to the Conjunctive Use of Surface and Subsurface Water , 2013, Water Resources Management.

[69]  Climatic changes and water resources in the Middle East and North Africa , 2008 .

[70]  Miguel A. Mariño,et al.  Simulation-Optimization Modeling of Conjunctive Use of Surface Water and Groundwater , 2010 .