Multi-objective optimization of drainage depth based on the fair division Short-term vs. long-term environmental effects

Document Type : Original Article

Authors

1 Former MSc. Graduate Student, Water Sciences and Engineering Department, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran.

2 Assistant Professor, Water Sciences and Engineering Department, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin,

Abstract

Construction of drainage system is necessary in the south Khuzestan for amending saline soils and protecting the lands against salinity stress. Drainage systems control salinity and reclaim salinized lands. But, this system has some potential environmental effects and has become a major challenge in the areas with drainage systems in recent years. The environmental effects caused by operation can be divided into two parts: short-term effects and long-term effects of primary leaching. According to the salinity distribution of soil, short-term and long-term environmental effects are conflicted together; so that, less salt discharged to the environment due to primary leaching will result in high salt discharged to the environment during operation. Therefore, short and long term environmental effects are discussed in this study to determine the optimal parameters of drainage designing. For this purpose, multi-objective simulated annealing model was used. Also, fair division benefits model has been used to select final optimal points from multi-objective output. To test the ability of presented models, the data of Salman Farsi agro-industrial enterprise was used as a case study. According to the results, the optimum installation depth for output in multi-objective model varies between 1.1 to 2.7 meter; the optimum installation depth is reduced to 1.45-2 meters using fair benefits division model. Optimum installation depth using symmetric Nash method is approximately 1.5 meters.

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References

Adimi M (2006) A brief outlook on the current situation, challenges and approaches of drainage in Iran. 4th workshop on Drainage and Environmental Engineering (In Persian)
Bandyopadhyay S, Saha S, Maulik U and Deb K (2008) A simulated annealing-based multi-objective optimization algorithm: AMOSA. IEEE Transactions on Evolutionary Computation 12(3):269-283
Banihabib ME, Mohammad Rezapour Tabari M, Mohammad Rezapour Tabari M (2017) Development of integrated multi-objective strategy for reallocation of agricultural water. Journal of Iran-Water Resources Research 13(1):38-52 (In Persian)
Corwin DL, Rhoades JD and Simunek J (2007) Leaching requirement for soil salinity control: Steady-state versus transient models. Agricultural Water Management 90(3):165-180
Gaarde V S, Bernstein J, Rhoades L and Rawlins S L (1974) Irrigation management of salt control. Journal of Irrigation and Drainage Division 100:321-338
Hanson B R, Grattan S R and Fulton A (2006) Agricultural salinity and drainage. California University Davis, California, 164p
Harsanyi J and Selten R (1972) A generalized Nash solution for two-person bargaining games with incomplete information. Management Science 18(5):80-106
Kalai E and Smorodinsky M (1975) Other solutions to Nash's bargaining problem. Econometrica 43:513-518
Konukcu F, Gowing G W and Rose D A (2005) Dry drainage: A sustainable solution to water logging and salinity problems in irrigation areas. Agricultural Water Management 83(1):1-12
Mazandaranizadeh H (2016) Drainage system design by NSGA-II multi objective algorithm using economic and environmental approach. Journal of Iran-Water Resources Research 12(3):142-152 (In Persian)
Mokhtaran R, Naseri A, Kashkuli H A and Boroomandnasab S (2013) Effect of drainage depth and impermeable layer on the flow rate and drainage water salinity in the irrigated soils of south Khuzestan. Journal of Soil and Water Conservation 3(1):61-73 (In Persian)
Nash J (1953) Two-Person Cooperative Games. Econometrica 21(1):128-140
Nijland H J, Croon F W and Ritzema H P (2005) Subsurface drainage practices: Guidelines for the implementation, operation and maintenance of subsurface pipe drainage systems. Alterra, Wageningen, The Netherlands, 607p
Nazari B, Liaghat A, Parsinejad M and Naseri A (2008) Optimization of drainage depth based on the economical and environmental aspects. 5th workshop on Drainage and Environmental Engineering (In Persian)
Rajabzadeh F, Pazira E and Mahdian M H (2011) Studies on appropriate and an empirical model for salt leaching of Saline-Sodic soils of central part of Khuzestan province. Journal of Water and Soil Conservation 18(3):61-84 (In Persian)
Rouhparvar M, Mazandaranizadeh H and Nasirzadeh F (2014) Quantitative risk allocation in construction projects: a fuzzy-bargaining game approach. International Journal of Industrial Engineering & Production Research 25(2):83-94
Sotoodehnia A, Razi F and Daneshkar Arasteh P (2014) Using SEEP/W numerical model to simulate drain installation depth effects on drain water salinity improvement. Iranian Journal of lrrigation and Drainage 8(1):187-196 (In Persian)
 
 
Iran-Water Resources Research
Volume 13, Issue 4
January 2018
Pages 144-153

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History

  • Receive Date: 11 March 2017
  • Revise Date: 04 July 2017
  • Accept Date: 06 July 2017

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