A linear bi-level multi-objective program for optimal allocation of water resources

This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical structure consisting of reservoir managers and several water use sectors under a multi-objective framework for the optimal allocation of limited water resources. Being the upper level decision makers (i.e., leader) in the hierarchy, the reservoir managers control the water allocation system and tend to create a balance among the competing water users thereby maximizing the total benefits to the society. On the other hand, the competing water use sectors, being the lower level decision makers (i.e., followers) in the hierarchy, aim only to maximize individual sectoral benefits. This multi-objective bi-level optimization problem can be solved using the simultaneous compromise constraint (SICCON) technique which creates a compromise between upper and lower level decision makers (DMs), and transforms the multi-objective function into a single decision-making problem. The bi-level model developed in this study has been applied to the Swat River basin in Pakistan for the optimal allocation of water resources among competing water demand sectors and different scenarios have been developed. The application of the model in this study shows that the SICCON is a simple, applicable and feasible approach to solve the BLMOLP problem. Finally, the comparisons of the model results show that the optimization model is practical and efficient when it is applied to different conditions with priorities assigned to various water users.

[1]  E. Camacho Poyato,et al.  Optimization of Irrigation Scheduling Using Soil Water Balance and Genetic Algorithms , 2016, Water Resources Management.

[2]  Ijaz Ahmad,et al.  Multi-objective Linear Programming for Optimal Water Allocation Based on Satisfaction and Economic Criterion , 2015, Arabian Journal for Science and Engineering.

[3]  Yong Peng,et al.  Evaluation of optimization operation models for cascaded hydropower reservoirs to utilize medium range forecasting inflow , 2013 .

[4]  Qiang Fu,et al.  Two-Stage Multi-Water Sources Allocation Model in Regional Water Resources Management under Uncertainty , 2017, Water Resources Management.

[5]  Ziqiang Zeng,et al.  Integrating Equality and Stability to Resolve Water Allocation Issues with a Multiobjective Bilevel Programming Model , 2016 .

[6]  Abbas Afshar,et al.  Fuzzy rule-based model for hydropower reservoirs operation , 2011 .

[7]  S. Kaushal,et al.  Land Use, Climate, and Water Resources—Global Stages of Interaction , 2017, Water.

[8]  Guohe Huang,et al.  Planning an Agricultural Water Resources Management System: A Two-Stage Stochastic Fractional Programming Model , 2015 .

[9]  Ali Nahvi,et al.  Optimal Cultivation Pattern to Increase Revenue and Reduce Water Use: Application of Linear Programming to Arjan Plain in Fars Province , 2017 .

[10]  Gui Faliang,et al.  Applying genetic algorithm in optimal allocation of water resources based on water rights , 2009, 2009 Chinese Control and Decision Conference.

[11]  Slobodan P. Simonovic,et al.  Reservoir Systems Analysis: Closing Gap between Theory and Practice , 1992 .

[12]  Jian-xia Chang,et al.  Bi-level optimization allocation model of water resources for different water industries , 2014 .

[13]  J. Vollertsen,et al.  Sulfide Precipitation in Wastewater at Short Timescales , 2017 .

[14]  Wang Ben-de,et al.  Evaluation of optimization operation models for cascaded hydropower reservoirs to utilize medium range forecasting inflow , 2013 .

[15]  M. C. Roa-García Equity, efficiency and sustainability in water allocation in the Andes : trade-offs in a full world , 2014 .

[16]  Dr. V. Ramani Bai Fuzzy Logic Model on Operation and Control of Hydro-Power Dams in Malaysia , 2007 .

[17]  Mukand S. Babel,et al.  Optimal allocation of bulk water supplies to competing use sectors based on economic criterion – An application to the Chao Phraya River Basin, Thailand , 2011 .

[18]  Keith W. Hipel,et al.  Water Resources Allocation: A Cooperative Game Theoretic Approach , 2003 .

[19]  Hongwei Song,et al.  Optimal Allocation of Water Resources Research Based on Input-Output Method of Hebei Province , 2011, 2011 Fourth International Joint Conference on Computational Sciences and Optimization.

[20]  Thomas C. Brown,et al.  AQUARIUS, a modeling system for river basin water allocation , 1997 .

[21]  M. Aldaya,et al.  Sustainability, Efficiency and Equitability of Water Consumption and Pollution in Latin America and the Caribbean , 2015 .

[22]  Zhong-kai Feng,et al.  Two Dimension Reduction Methods for Multi-Dimensional Dynamic Programming and Its Application in Cascade Reservoirs Operation Optimization , 2017 .

[23]  K. Vairavamoorthy,et al.  Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management , 2011 .

[24]  Y. Hoekstra,et al.  Sustainable, efficient, and equitable water use: the three pillars under wise freshwater allocation , 2013 .

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

[26]  D. Sutivong,et al.  Water Resource Management Using Multi-objective Optimization and Rainfall Forecast , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[27]  Wang Xuan,et al.  An optimal water allocation model based on water resources security assessment and its application in Zhangjiakou Region, northern China , 2012 .

[28]  G. Dong,et al.  Journey to the east: Diverse routes and variable flowering times for wheat and barley en route to prehistoric China , 2017, PloS one.

[29]  Baskar Ganapathysubramanian,et al.  A farm-level precision land management framework based on integer programming , 2017, PloS one.

[30]  Babak Abbasi,et al.  Optimal water allocation through a multi-objective compromise between environmental, social, and economic preferences , 2015, Environ. Model. Softw..

[31]  Babak Abbasi,et al.  Economic Sharing of Basin Water Resources between Competing Stakeholders , 2013, Water Resources Management.

[32]  Il Kon Kim,et al.  Processing HL7-CDA Entry for Semantic Interoperability , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[33]  Adil Al Radif,et al.  Integrated water resources management (IWRM): an approach to face the challenges of the next century and to avert future crises☆ , 1999 .

[34]  B. Abbasi,et al.  Multi-objective decision making for basin water allocation , 2013 .

[35]  Avi Ostfeld,et al.  The future of water resources systems analysis: Toward a scientific framework for sustainable water management , 2015 .

[36]  Jiuping Xu,et al.  Bilevel Optimization of Regional Water Resources Allocation Problem under Fuzzy Random Environment , 2013 .

[37]  W. Candler Multi-level programming and development policy , 1977 .

[38]  N Priya,et al.  Dynamic Programming Based Resource Optimization in Agricultural Big Data for Crop Yield Maximization , 2017 .

[39]  A Water Allocation Model for Qujiang River Basin of China , 2015 .

[40]  Ronald C. Griffin,et al.  Water Resource Economics: The Analysis of Scarcity, Policies, and Projects , 2005 .

[41]  A. Garrido,et al.  Optimisation of Water Procurement Decisions in an Irrigation District: The Role of Option Contracts , 2016 .

[42]  P. P. Mujumdar,et al.  Reservoir Operation Modelling with Fuzzy Logic , 2000 .

[43]  Y. P. Li,et al.  Planning Regional Water Resources System Using an Interval Fuzzy Bi-Level Programming Method , 2010 .

[44]  C. Ringler OPTIMAL WATER ALLOCATION IN THE MEKONG RIVER BASIN , 2001 .

[45]  C. Sivapragasam,et al.  Fuzzy Logic for reservoir operation with reduced rules , 2008 .

[46]  Mukand S. Babel,et al.  Optimal water allocation model based on satisfaction and economic benefits , 2013 .

[47]  Nien-Sheng Hsu,et al.  Application of Neural Networks and Optimization Model in Conjunctive Use of Surface Water and Groundwater , 2014, Water Resources Management.

[48]  Naohiko Kohtake,et al.  Investigating the surrogate worth trade-off method to facilitate technology selection for new systems , 2014 .

[49]  E. Stanley Lee,et al.  Fuzzy approach for multi-level programming problems , 1996, Comput. Oper. Res..

[50]  Mohsen Gitizadeh,et al.  Optimal Irrigation Water Allocation Using a Genetic Algorithm under Various Weather Conditions , 2014 .

[51]  Manuel Ramos Bilevel optimization of Eco-Industrial parks for the design of sustainable resource networks , 2016 .

[52]  Bin Zhou,et al.  An Integrated Method for Interval Multi-Objective Planning of a Water Resource System in the Eastern Part of Handan , 2017 .

[53]  Harry W. Dotson,et al.  Hydrologic Aspects of Flood Warning-Preparedness Programs , 1990 .

[54]  Denis Ruelland,et al.  Sensitivity of a lumped and semi-distributed hydrological model to several methods of rainfall interpolation on a large basin in West Africa , 2008 .

[55]  Ningning Liu,et al.  Sustainable utilization of water resources in China: A system dynamics model , 2017 .

[56]  S. H. Zegordi,et al.  Coordination of pricing and cooperative advertising for perishable products in a two-echelon supply chain: A bi-level programming approach , 2015 .

[57]  Guohe Huang,et al.  Chance-Constrained Dynamic Programming for Multiple Water Resources Allocation Management Associated with Risk-Aversion Analysis: A Case Study of Beijing, China , 2017 .

[58]  Mukand S. Babel,et al.  A Model for Optimal Allocation of Water to Competing Demands , 2005 .

[59]  Chwen-Tzeng Su,et al.  Stochastic dynamic lot-sizing problem using bi-level programming base on artificial intelligence techniques , 2012 .

[60]  Liudong Zhang,et al.  Bilevel Multiobjective Programming Applied to Water Resources Allocation , 2013 .