Simulation of Drainage Water Salinity and Discharge of Subsurface Drain Using System Dynamics Approach; Case Study in Sugar Cane Research Center of Amir Kabir

Document Type : Original Article

Authors

1 Department of Water Science Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran

2 science and water engineering department, Faculty of agriculture, Bu Ali sina Hamedan

3 Dept. of Geology, Kansas State Univ., Manhattan KS, USA

10.22125/iwe.2020.120724

Abstract

Quality and quantity of drainage water in saline lands, which require primary leaching is continuously changing from the beginning of irrigation and drainage network operation before reaching a more or less equilibrium state. The time to reach a state of equilibrium in areas with saline groundwater may take several years. Therefore in this paper, the system dynamics technique that is one of the object oriented approach was used to simulate farms of irrigation and drainage network, and determine model performance to simulate the drainage water salinity and discharge of subsurface drains. To validate the results of the model, data collected in the 2004 and 2005 cropping years from ARC2, ARC4, ARC6 and ARC8 farms was used in the research area of ​​Sugar Center Research Center (Amir Kabir Agro Industrial Development Unit of Sugarcane Development Company, Khuzestan Province). To statistical analysis and calculating, the root mean square error (RMSE), standard error (SE) and correlation coefficient (R2), were used. In this regard, the RMSE statistical index for drainage discharge of ARC2, ARC4, ARC6 and ARC8 farms were 6639, 8546, 7950 and 8207 m3/day respectively. Also, the RMSE for drainage water salinity of the farms were 2.25, 4.86, 2.04 and 7.98 dS/m respectively. The results showed that the model is capable of simulating the drainage outflow and its salinity in saline and shallow water table region

Keywords


حسن­اقلی، ع.، ع. اسمعیلی امینلویی و ح. سخایی­راد. 1394. بررسی کمیت و کیفیت زهاب زهکش­های زیرزمینی بدون پوشش در مقایسه با پوشش معدنی در دشت شادگان. نشریه پژوهش آب در کشاورزی، جلد 29، شماره 2، 275-263.
قنادان­زاده، م. 1385. بررسی شوری زهاب زمین­های کشاورزی و ارائه مدل پیش­بینی EC و ضریب زهکشی با استفاده از شبکه عصبی مصنوعی (مطالعه موردی: اراضی کشت و صنعت امیرکبیر). پایان نامه کارشناسی ارشد مهندسی محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات اهواز.
شکیبا، م.، ع. م. لیاقت و ف. میرزایی. 1392. بررسی اثر عمق سطح ایستابی و دبی آب آبیاری بر عمق اختلاط و کیفیت زهاب زیرزمینی خروجی از مدل آزمایشگاهی. نشریه آبیاری و زهکشی ایران، شماره 2، جلد 7، 132-122.
مختاران، ر.، ع. ناصری، ح. کشکولی و س. برومند نسب. 1392. اثر عمق زهکش و لایه محدودکننده بر دبی و شوری زهاب در اراضی فاریاب جنوب خوزستان. نشریه حفاظت منابع آب و خاک، سال 3 ، شماره 1، 73-61.
نوذری، ح.، آ. پورصدری، س. آزادی و ع. م. لیاقت. 1397. ارزیابی نرم­افزار DRAINMOD-S در شبیه­سازی شوری زهاب زهکش­های زیرزمینی. نشریه پژوهش آب در کشاورزی، جلد 23، شماره 3، 471-459.
Fletcher, E. J. 1998. The use of system dynamics as a decision support tool for the management of surface water resources. Proc. 1st Int. Conf. on New Information Technolo. For Decision-Making in Civ. Engrg. University of Quebec. Montreal, Canada.
Forrester, J. W. 1961. Industrial dynamics. Productivity press, Portland Oreg.
Kroes, J. G and J. C. Van Dam. 2008. Reference manual SWAP version 3.2., Alterra Green World Research, Wageningen, Report. 1649, Availabel at:www.alterra.nl/models/swap.
Luo, Y., S. Khan and Y. Cui. 2009. Application of system dynamics approach for time varying water balance in aerobic paddy fields. J. Paddy Water Environ, 7: 1-9.
Matinzadeh, M. M., J. Abedi Koupai, A. Sadeghi-Lari, H. Nozari and M. Shayannejad. 2017. Development of an innovative integrated model for the simulation of nitrogen dynamics in farmlands with drainage systems using the system dynamics approach. Journal of Ecological Modelling, 347: 11–28.
Mostafazadeh-fard, B., H. Mansouri, S. F. Mousavi and M. Feyzi. 2009. Effects of different levels of irrigation water salinity and leaching on yield and yield components of wheat in an arid region. Irrigation and Drainage Engineering. 10.1061/(ASCE)0733-9437(2009)135:1(32):32–38.
Nozari, H. and S. Azadi. 2017. Experimental evaluation of artificial neural network for predicting drainage water and groundwater salinity at various drain depths and spacing. Natural Computing Applications J. DOI 10.1007/s00521-017-3155-9.
Nozari, H., S. Azadi and A. Zali. 2017. Experimental study of the temporal variation of drain water salinity at different drain depths and spacing in the presence of saline groundwater. Sustainable Water Resources Management. 10.1007/s40899-017-0182-8.
Nozari, H., M. Heydari and S. Azadi. 2014. Simulation of a right Abshar irrigation network and its cropping pattern using a system dynamics approach. Irrigation and Drainage Engineering, 10.1061/(ASCE)IR.1943-4774.0000777: 1-7.
Nozari, H. and A. M. Liaghat. 2014. Simulation of drainage water quantity and quality using system dynamics. Irrigation and Drainage Engineering, 140(11), 05014007.
Singh, R., M. J. Helmers and Q. i. Zhiming. 2006. Calibration and validation of DRAINMOD to design subsurface drainage systems for Iowa’s tile landscapes. J. Agricultural Water Management, 85: 221–232.
Saysel, A. and Y. Barlas. 2001. A dynamic model of salinization on irrigated lands. Ecological Modelling, 139: 177-199.