Regional modeling of wheat yield production using the distributed agro-hydrological SWAP: (case study: Doroudzan irrigation and drainage network)

Subject Areas :

Elnaz  Noroozi ¹ (Ph.D. Student, respectively, Science and Research Branch, Islamic Azad University of Tehran, Tehran, Iran.)
Hosein  Babazadeh ² (Assistant Prof, respectively, Science and Research Branch, Islamic Azad University of Tehran, Tehran, Iran.)
Majid  Vazifehdoost ³ (Assistant Prof., Agriculture Faculty, Gilan University, Gilan, Iran.)
Fereidoon  Kaveh ⁴ (Associate Prof., respectively, Science and Research Branch, Islamic Azad University of Tehran, Tehran, Iran.)

Received: 2012-03-04 Accepted : 2012-10-17 Published : 2012-09-22

Keywords: simulation, production, yield, Wheat, distributed SWAP,

Abstract :

Many decisions and policies in water management are made in a spatial scale larger than farm scale. In this study, the distributed SWAP model was evaluated to simulate wheat yield production in the Doroudzan irrigation and drainage network (Fars province, Iran) in wet, normal and dry years. The study area was divided into 86 simulation units and yield production was determined in each spatial unit with the distributed SWAP. MATLAB program was used for regionalizing the SWAP model and making relationship between this model and input data in each simulation unit. The goodness-of-fit measures, such as correlation coefficient and maximum error were calculated as 88% and 0.94 ton/ha, respectively. In addition, the determined mean square error was less than standard deviation and the modeling efficiency was estimated satisfactorily. In this research, yield production in the simulation period was evaluated higher than the observed values. In farms located at the end of the network, the error percentage of the simulated performance was higher than other spatial units due to water deficit and soil salinity. In general, since there was a good consistency between simulated and observed crop production in Doroudzan network, distributed SWAP model can be used with a good accuracy to simulate and predict yield production and to manage irrigation network.

References:

Amiri E, Kavoosi M, Kaveh F (2009) Evaluation of crop growth models ORYZA2000, SWAP and WOFOST under different types of irrigation management. Journal of Agricultural Engineering Research 10(3): 13-28 [In Persian with English Abstract].

Bastiaanssen WGM, Allen RG, Droogers P, D’urso G, Steduto P (2007) Twenty-five years modeling of irrigated and drained soils: State of the art. Agricultural Water Management 92(3): 111-125.

Bessembinder JJE, Dhindwal AS, Leffelaar PA, Ponsioen T, Singh S (2003) Analysis of crop growth in water productivity of irrigated crops in Sirsa district, India. In: Dam JC, Malik RS (Eds), Integration of remote sensing, crop and soil models and geographical information systems. Wageningen university, Wageningen. pp. 59–82

Bessembinder JJE, Leffelaar PA, Dhindwal AS, Ponsioen T (2005). Which crop and which drop, and the scope for improvement of water productivity. Agricultural Water Management 73(2): 113-130.

Feddes RA, Kowalik PJ, Zaradny H (1978) Simulation of field water use and crop yield. Simulation Monographs, Pudoc, Wageningen, the Netherlands, 189 pp.

Homaee M, Dirksen C, Feddes RA (2002a) Simulation of root and water uptake, I. Nonuniforme transient salinity using different macroscopic reduction function. Agricultural Water Managment 57: 89-109.

Kiani AR, Homaee M (2007) Evaluating SWAP model for simulation of water and solute transport in soil profile. Journal of Agricultural Engineering Research 8(1): 13-30 [In Persian with English Abstract].

Kiani AR, Asadi ME, Homaee M, Mirlatifi M (2005) Wheat production function under salinity and water stress conditions. Proceedings of MTERM International Conference, 6-10 June 2005, AIT, Thailand. 609-616.

Koohi Chellekaran N, Eslami A, Asadi R (2011) Improving irrigation management for hybrid maize seeds in Kerman province using a SWAP model. Journal of Agricultural Engineering Research 12(1): 17-32. [In Persian with English Abstract].

Kroes JG, van Dam J (2008) Reference manual SWAP version 3.03. Altera Green World Research, Altera Report 773. Wageningen University and Research Center, Wageningen, the Netherlands, 211 pp. ISSN: 1566-7197.

Maas EV, Hoffman GJ (1977) Crop salt tolerance assessment. Journal of Irrigation and Drainage Division, ASCE 103: 115-134.

Mahab Ghodss Consulting Engineering Company (2011) Studies for yield evaluation, and monitoring management of operation and maintenance, improvement, repair and rehabilitation of Doroudzan irrigation and drainage network [In Persian with English Abstract].

Molden DJ, Sakthivadivel R (1999) Water accounting to assess use and productivity of water. International Journal of Water Research Development 1 (1–2): 55- 71.

Mualem Y (1976) A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resources Research 12: 513–522.

Nahvinia MJ, Shahidi A, Parsinejad M, Karimi B (2011) Assessing the performance of SWAP model in estimating the production of wheat under salinity and water stress (case study: Birjand, Iran). Iranian Water Research Journal 4 (6): 43-58. [In Persian with English Abstract].

Noory H, Liaghat AM, Parsinejad M, Vazifedoust M (2011) Simultaneous condition of water and salinity limitations (case study: Voshmgir network, Golestan provinc). Journal of Water and Soil 24 (6): 1224-1235. [In Persian with English Abstract].

Penning de Vries, FWT, Jansen DM, Ten Berge HFM, Bakema A (1989) Simulation of ecofysiological processes of growth in several annual crops. Simulation monographs No. 29. IRRI Los Banos/Pudoc, Wageningen, the Netherlands.

Shahidi E (2008) Integration of deficit irrigation and salinity on yield components of wheat cultivars and determining water-salinity production function in the Birjand region, Iran. Ph.D. Thesis. Shahid Chamran University, Ahvaz, Iran [In Persian with English Abstract].

Singh R, van Dam J, Feddes RA (2006) Water productivity analysis of irrigated crops in Sirsa district. India. Agricultural Water Management 82: 253-278.

Van Dam JC, Groenendijk P, Hendriks RFA, Kroes JG (2008) Advances of modeling water flow in variably saturated soils with SWAP. Vadose Zone Journal 7: 640-653.

Van Genuchten MTH (1980) A closed form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal 44: 892-898.

Vazifedoust M (2007) Development of an agricultural drought assessment system. Integration of crop and soil modeling remote sensing and geographical information. Ph.D. Dissertation. Wageningen Agricultural University. The Netherland.

Verdinejad VR, Sohrabi T, Feizi M, Heydari N, Araghinejad SH (2011) Patterning different crops yield with saline water irrigation condition using SWAP model. Journal of Water and Soil 24(3): 463-475. [In Persian with English Abstract].

Wösten JHM, Lilly A, Nemes A, Le Bas C (1998) Using existing soil data to derive hydraulic parameters for simulation models in environmental studies and in land use planning. SC-DLO Report 156. Wageningen, The Netherland, 106 pp.