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Optimum irrigation water allocation and crop distribution using combined Pareto multi-objective differential evolution

Akinola Ikudayisi, Josiah Adeyemo, John Odiyo, Abimbola Enitan, Roberto Revelli
2018 Cogent Engineering  
This paper presents the application of a new evolutionary algorithm technique called combined Pareto multi-objective differential evolution (CPMDE) to optimize irrigation water allocation and crop distribution  ...  The two objectives of the model are to maximize total crop net benefit (NB) over a planting season while minimizing total irrigation water allocation.  ...  (1-4), for the constrained multi-objective irrigation water allocation and crop yield optimization problem in this study, were solved using the CPMDE algorithm.  ... 
doi:10.1080/23311916.2018.1535749 fatcat:ghd6kw6wu5exlkoqdvfshbayuy

Irrigation water optimization using evolutionary algorithms

Akinola Ikudayisi, Josiah Adeyemo
2015 Environmental Economics  
This paper presents an overview of the use of evolutionary algorithms as a tool for effective optimization of irrigation water resources around the world.  ...  This study involves a rigorous assessment of catalogues of recent works carried out using different types of evolutionary algorithms in optimizing the scarce water resources in the semi-arid regions with  ...  This involves the use of computer modelling techniques to find a nearoptimal solution of the global optimization problem.  ... 
doaj:aed8ea38f42a4a549bca04423f22aced fatcat:rru7pqi7sjbc3hfqsy2fuf3qsu

Irrigation water allocation optimization using multi-objective evolutionary algorithm (MOEA) − a review

Ibrahim Mwita Fanuel, Allen Mushi, Damian Kajunguri
2018 International Journal for Simulation and Multidisciplinary Design Optimization  
The review finds that there is a potential to use MODE to analyzed the multi-objective problem, the application is more significance due to its advantage of being simple and powerful technique than any  ...  This paper analyzes more than 40 papers with a restricted area of application of Multi-Objective Genetic Algorithm, Non-Dominated Sorting Genetic Algorithm-II and Multi-Objective Differential Evolution  ...  For a constrained Multi-Objective Optimization Problem stated as in equations (1)-(4) above, the theoretical Pareto-optimality conditions proposed by [45, 46] are used to obtain the best solutions for  ... 
doi:10.1051/smdo/2018001 fatcat:hc5bsfms3ncednn25pjtngukza

Model-Based Deficit Irrigation of Maize in Kansas

Raphael Linker, Isaya Kisekka
2017 American Society of Agricultural and Biological Engineers. Transactions  
A multi-objective optimization framework was used to determine several combinations of optimal water depletion levels based on ten years of historical weather, and these combinations were tested using  ...  In recent years, as a result of declining groundwater levels in the Ogallala aquifer and diminished well capacities, farmers are turning to deficit irrigation strategies.  ...  ACKNOWLEDGEMENTS This research was supported in part by the USDA Ogallala Aquifer Program, USDA-NIFA Ogallala Water CAP (Award No. 2016-68007-25066), and the Foundation for Food and Agricultural Research  ... 
doi:10.13031/trans.12341 fatcat:mql6u2kowzfofls4it46ygj3qe

Optimal on-farm irrigation scheduling with a seasonal water limit using simulated annealing

Peter D. Brown, Thomas A. Cochrane, Thomas D. Krom
2010 Agricultural Water Management  
Future farm profit (the objective function) is calculated using a time-series simulation model 22 Zealand) in the order of 10%, compared with scheduling irrigation using current state of the art 34 scheduling  ...  At a farm scale, farmer's have a particularly 11 strong incentive to optimize their irrigation water use when the volume of water available over a 12 season is production limiting.  ...  Acknowledgements 29 Research funding from the Foundation of Science, Research, and Technology (contract ID LVLX0302 30 and LVLX0303) is gratefully acknowledged. 31  ... 
doi:10.1016/j.agwat.2010.01.020 fatcat:gp3kikmrqfdjlbxskbx4hxftk4

A novel data-driven analytical framework on hierarchical water allocation integrated with blue and virtual water transfers

Liming Yao, Zhongwen Xu, Huijuan Wu, Xudong Chen
2019 Hydrology and Earth System Sciences Discussions  
</strong> This study proposes a novel data-driven analytical framework to determine optimal allocation and conjunctive strategies of blue and virtual water transfers in the presence of different hydrological  ...  Under various polices, we use data-driven analysis to simulate hydrological and economic parameters, such as available water, crop import price, water market price etc.  ...  We thank those that have given constructive comments and feedback to help improve this paper. Support was provided by the National  ... 
doi:10.5194/hess-2019-389 fatcat:t6edkoidhvcpxbtd6yf7rzwcbu

Identifying Efficient Nitrate Reduction Strategies in the Upper Danube

Angel Udias, Anna Malagò, Marco Pastori, Olga Vigiak, Arnaud Reynaud, Francisco Elorza, Faycal Bouraoui
2016 Water  
We applied a multi-objective, spatially explicit analysis tool, the R-SWAT-DM framework, to search for efficient, spatially-targeted solution of Nitrate abatement in the Upper Danube Basin.  ...  A spatially explicit optimization analysis that considered point and diffuse sources of Nitrate was performed to search for strategies that could achieve largest pollution abatement at minimum cost.  ...  Conflicts of Interest: The authors declare no conflict of interest. Water 2016, 8, 371  ... 
doi:10.3390/w8090371 fatcat:bhdwmdtx7fcohi6kbzlbhbvwee

Comparison of Approaches for Irrigation Scheduling Using AquaCrop and NSGA-III Models under Climate Uncertainty

Richwell Mubita Mwiya, Zhanyu Zhang, Chengxin Zheng, Ce Wang
2020 Sustainability  
In this study, a multi-objective optimization problem for irrigation scheduling was presented in which maximization of net benefits and water use efficiency and minimization of risk were the objectives  ...  Under the multi-objective scenario presented and other conditions of the study, Approach 4 gave the best results, and showed that irrigation depths of 400, 325, and 200 mm were required to produce a maize  ...  Acknowledgments: The authors would like to thank Hohai University for granting the scholarship which made the research possible. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12187694 doaj:eaed023f03444424ba70877b325cbc4a fatcat:3vs4ehgzrbbzzghwy6randz4vm

Irrigation Planning with Conjunctive Use of Surface and Groundwater Using Fuzzy Resources

D. G. Regulwar, V. S. Pradhan
2013 Journal of Water Resource and Protection  
The model is applied to a case study of Jayakwadi project and solved for maximization of the degree of satisfaction () which is 0.546.  ...  In the present study, an irrigation planning model is formulated by considering the conjunctive use of surface and groundwater.  ...  Institute of Science Aurangabad, for their support to carry out the field observations.  ... 
doi:10.4236/jwarp.2013.58082 fatcat:e47r3r5smve3lo7uxbgfrvdzw4

An ensemble experiment of mathematical programming models to assess socio-economic effects of agricultural water pricing reform in the Piedmont Region, Italy

Francesco Sapino, C. Dionisio Pérez-Blanco, Carlos Gutiérrez-Martín, Vito Frontuto
2020 Journal of Environmental Management  
This paper develops a multi-model ensemble framework encompassing 5 mathematical programming models (2 Positive Mathematical Programming models, 2 Positive Multi-Attribute Utility Programming models and  ...  1 Weighted Goal Programming model) that represent the observed behavior of socioeconomic agents to: 1) simulate the impacts of the Piedmontese water pricing reform on land use allocation and management  ...  Acknowledgments The research leading to these results has been developed with the support of the Program for the Attraction of Scientific Talent (SWAN Project -Sustainable Watersheds: Emerging Economic  ... 
doi:10.1016/j.jenvman.2020.110645 pmid:32421676 fatcat:24or37mejvhlrlnzacmwlfbvwi

A Multi-Objective Approach to Evaluate the Economic and Environmental Impacts of Alternative Water and Nutrient Management Strategies in Africa

M. Pastori
2015 Journal of Environmental Informatics  
Based on an integrated biophysical model and a multi-objective evolutionary algorithm, we estimated optimal solutions (Pareto front) among both objectives to identify efficient irrigation and fertilization  ...  The efficiency of these practices depends on numerous and conflicting objectives which lead to a complex multi-objective decision process.  ...  Material and Method Multi-objective Approach The aim of this work is to apply for the whole African continent a multi-objective optimization tool to identify tradeoff optimum strategies for agricultural  ... 
doi:10.3808/jei.201500313 fatcat:pnjdmwglhjc63itjgerw7hkape

An overview of the optimization modelling applications

Ajay Singh
2012 Journal of Hydrology  
The sections include: use of optimization modelling for conjunctive use planning, groundwater management, seawater intrusion management, irrigation management, achieving optimal cropping pattern, management  ...  Conjunctive use planning Optimal cropping pattern s u m m a r y The optimal use of available resources is of paramount importance in the backdrop of the increasing food, fiber, and other demands of the  ...  Geoff Syme and three anonymous reviewers, whose constructive and insightful comments and suggestions have led to considerable improvement to the early version of the manuscript.  ... 
doi:10.1016/j.jhydrol.2012.08.004 fatcat:zffouwecizfnhn2supjwtounhu

Integrated Water Resources Management for Sustainable Irrigation at the Basin Scale

Max Billib, Karin Bardowicks, José Luis Arumí
2009 Chilean Journal of Agricultural Research  
Multi-criteria decision making models are developed for irrigation planning and irrigation scenarios are used to show the impact of different irrigation management decision.  ...  As IWRM is an interdisciplinary approach and used for very different objectives, the main emphasis is given to IWRM approaches for sustainable irrigation and their environmental aspects.  ...  Adaptation strategies to climate change have been explored using a linked field-scale basin-scale modelling framework for a basin in Sri Lanka.  ... 
doi:10.4067/s0718-58392009000500007 fatcat:xfzrbbasfzftjfq5qutxt326gq

Optimal Irrigation Planning and Operation of Multi Objective Reservoir Using Fuzzy Logic

Jyotiba B. Gurav
2016 Journal of Water Resource and Protection  
The level of satisfaction for a compromised solution of optimal cropping pattern planning for four conflicting objectives under fuzzy environment is worked out to be λ = 0.68.  ...  The compromised solution for optimal operation of multi objective reservoir yields the level of satisfaction (λ) = 0.533 for maximizing the releases for irrigation and power simultaneously by satisfying  ...  Acknowledgements The author is thankful to the Director, BCUD of Savitribai Phule Pune University, Pune State of Maharashtra, India for permission to take up this study at Amrutvahini College of Engineering  ... 
doi:10.4236/jwarp.2016.82019 fatcat:bnjrcpxjijf3rippkdt2al7oz4

A novel data-driven analytical framework on hierarchical water allocation integrated with blue and virtual water transfers

Liming Yao, Zhongwen Xu, Huijuan Wu, Xudong Chen
2020 Hydrology and Earth System Sciences  
In this study a novel data-driven analytical framework is proposed for cooperative strategies that ensure the optimal allocation of blue and virtual water transfers under different hydrological and economic  ...  A Stackelberg–Nash–Harsanyi equilibrium model is also developed to deal with the hierarchical conflicts between the water affairs bureau and multiple water usage sectors and overcome problems associated  ...  Table D1 provides a general overview of the input variables, data sources and determination in this study.  ... 
doi:10.5194/hess-24-2769-2020 fatcat:gx5vyps675fplpjxc4d4nivzyu
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