ارزیابی مدل‌های AquaCrop و SALTMED در تخمین عملکرد محصول ذرت و شوری خاک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری آبیاری و زهکشی گروه مهندسی آب دانشگاه زابل

2 استادیار گروه مهندسی آب دانشگاه زابل

3 استادیار گروه مهندسی آبیاری و آبادانی دانشگاه تهران

چکیده

استفاده از مدل‏های شبیه‏سازی یکی از راه‏کارهای مدیریت مصرف آب در کشاورزی و پیش‏بینی اثر آب‌های شور بر عملکرد محصول و شوری خاک است. اخیراً فائو نسخة جدید مدل AquaCrop را ارائه کرده است که می‏تواند اثر آبیاری با آب شور را بر میزان عملکرد محصول و شوری خاک محاسبه کند. در این تحقیق دو مدل AquaCrop و SALTMED در شرایط استفاده از آب شور در تناوب با آب شیرین برای کشت گیاه ذرت علوفه‏ای ارزیابی شد. بدین منظور آزمایش مزرعه‌ای برای نُه تیمار (در شرایط مختلف کاربرد آب شور و شیرین) در منطقة کرج انجام شد و عملکرد محصول و شوری پروفیل خاک اندازه‌گیری و با دو مدل مذکور شبیه‏سازی شد. مقدار R2 برای شوری خاک و عملکرد محصول در مدل SALTMED به ترتیب برابر 843/0 و 733/0 و برای مدل SALTMED به ترتیب برابر 758/0 و 846/0 به دست آمد. خطای نسبی مدل AquaCrop در تخمین عملکرد محصول از 9/2 تا 8/30 درصد و در تخمین شوری خاک از 9/5 تا 8/45 درصد متغیر بود. همچنین خطای نسبی مدل SALTMED در تخمین عملکرد محصول از 9/0 تا 7/24 درصد و در تخمین شوری خاک از 2/2- تا 2/38 درصد متغیر بود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Evaluation of AquaCrop vs SALTMED Models to Estimate Crop Yield and Soil Salinity

نویسندگان [English]

  • Mohammad Hassanli 1
  • Peyman Afrasiab 2
  • Hamed Ebrahimian 3
1 Ph. D. Candidate, Irrigation and Drainage, Department of Water Engineering, University of Zabol
2 Assistant professor, Department of Water Engineering, University of Zabol
3 Assistant professor, Department of Irrigation and Reclamation Eng., College of Agriculture and Natural Resources, University of Tehran
چکیده [English]

Application of simulation models is a strategy in agricultural water usage management and in predicting the effect of saline water on crop yield and as well on soil salinity. Recently, FAO has introduced a new version of AquaCrop model through which one can calculate the effect of irrigation water salinity on crop yield and on soil salinity. In the present study, AquaCrop and SALTMED models were evaluated under alternate application of saline vs fresh water for maize as a forage crop. The required field experiments were carried out in nine treatments (under different conditions of using non-saline vssaline water) in Karaj region. In SALTMED model, R2 values were obtained 0.843 and 0.733 for soil salinity and crop yield, respectively, while these values amounted to 0.758 and 0.846 respectively, for AquaCrop model. Relative error in AquaCrop model varied between 2.9 and 30.8% in crop yield estimation and between 5.9 and 45.8% in soil salinity estimation. The relative error in SALTMED model ranged from 0.9 to 24.7% to estimate crop yield while ranging from -2.2 to 38.2% in estimation of soil salinity.

کلیدواژه‌ها [English]

  • simulation
  • Cyclic use of saline water
  • Drip Irrigation
  • forage maize

مراجع

Abedinpour, M., Sarangi, A., Rajput, T. B. S., Singh, M. H., Pathak, H., and Ahmad, T. (2012). Performance evaluation of AquaCrop model for maize crop in a semi-arid environment. Agricultural Water Management, 110, 55-66.
Akbari Fazli, R., Gholami, A., Andarzian, B., Ghoosheh, M., and Darvishpasand, Z. (2013). Investigating the effect of applying drainaged water on wheat yield using SALTMED model. Journal of Novel Applied Sciences, 2(S3), 1003-1011.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop evapotranspiration. Guidelines for computing crop water requirements. Rome: FAO
Aly, A. A., Al-Omran, A. M., and Khasha, A. A. (2015). Water management for cucumber: Greenhouse experiment in Saudi Arabia and modeling study using SALTMED model. Journal of soil and water conservation, 70(1), 1-11.
Ayers, R. S. and Westcot, D. W. (1989) Water quality for agriculture. Rome: FAO
Cardon, E. G. and Letey, J. (1992). Plant water uptake terms evaluated for soil water and solute movement models. Soil Science Society American Journal 56,1876-1880.
Doorenbos, J. and Kassam, A. H. (1979) Yield response to water. Rome: FAO
Food and Agriculture Organization. (2012). AquaCrop update version 4.0. Rome: FAO
Golabi, M., Naseri, A. A., and Kashkuli, H. A. (2009). Evaluation of SALTMED model performance in irrigation and drainage of sugarcane farms in Khuzestan province of Iran. Journal of Food, Agriculture & Environment, 7(2), 874-880.
Heng L. K., Hsiao T. C., Evett S., Howell T., and Steduto P. (2009). Validating the FAO AquaCrop model for irrigated and water deficient field maize. Agronomy Journal, 101, 488–498.
Hillel. D. (1977). Computer simulation of soil-water dynamics; a compendium of recent work. Ottawa: IDRC
Hirich, A., Choukr-Allah, R., Ragab, R., Jacobsen, S-E., EL-Youssfi, L., and El-Omari, H. (2012). The SALTMED model calibration and validation using field data from Morocco. Journal of Materials and Environmental Science, 3(2), 342-359.
Katerji, N., Campi, P., and Mastrorilli, M. (2013). Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region. Agricultural Water Management, 130, 14– 26.
Khorsand, A., Verdinejad, V. R., and Shahidi, A. (2014) Performance evaluation of AquaCrop model to predict yield production of wheat, soil water and solute transport under water and salinity stresses. Water and Irrigation Management, 4(1), 89-104 (In Farsi).
Kumar, P., Sarangi, A., Singh, D. K., and Parihar, S. S. (2014). Evaluation of AquaCrop model in predicting wheat yield and water productivity under irrigated saline regimes. Irrigation and Drainage, 63, 474–487.
Loague, K. and Green, R. E. (1991) Statistical and graphical methods for evaluating solute transport models: overview and application. Journal of Contaminant Hydrology, 7, 51-73.
Masanganise J., Basira, K., Chipindu, B., Mashonjowa, E., and Mhizha, T. (2013). Testing the utility of a crop growth simulation model in predicting maize yield in a changing climate in Zimbabwe. International Journal of Agricultural and Food Science, 3(4), 157-163.
Mehanna, H. M., Sabreen, R. H. P., and El-Hagarey, M. E. (2012). Validation of SALTMED model under different conditions of drought and fertilizer for snap bean in delta, Egypt: Minta International Conferencefor Agdculture ana Irrigation in the Nile Basin Countries, 26-29 March, El-Minia, Egypt.
Mohammadi, E., Hassanli, M., Gharahdaghi, M. M., and Mohammadi, M. (2014) Evaluation of soil moisture and salinity using SALTMED model in the climation condition of Sistan: 2nd Iranian Conference on Agricultural Soil and Water Management, 20-21 May, Karaj, Iran (In Farsi).
Montenegro, S. G., Montenegro, A., and Ragab, R. (2010). Improving agricultural water management in the semi-arid region of Brazil: experimental and modelling study. Irrigation Science, 28, 301-316.
Oster, J. D., Letey, J., Vaughan, P., and Wu, L., Qadir, M. (2012). Comparison of transient state models that include salinity and matric stress effects on plant yield. Agricultural Water Management, 103,167-175.
Pulvento, C., Riccardi, M., Lavini, A., Andria, R. D., and Ragab, R. (2013) SALTMED model to simulate yield and dry matter for quinoa crop and soil moisture content under different irrigation strategies in south Italy. Irrigation and Drainage, 62, 229–238.
Ragab, R. (2002). A holistic generic integrated approach for irrigation, crop and field management the SALTMED model. Environmental Modelling & Software, 17,345-361.
Ragab, R., Malash, N., Abdel Gawad, G., Arsalan, A., and Ghaibeh, A. (2005a). A holistic generic integrated approach for irrigation, crop and field management 1-The SALTMED model and its calibration using field data from Egypt and Syria. Agricultural Water Management, 78, 67-88.
Ragab, R., Malash, N., Abdel Gawad, G., Arsalan, A., and Ghaibeh, A. (2005b). A holistic generic integrated approach for irrigation, crop and field management 2-The SALTMED model validation using field data of five growing seasons from Egypt and Syria. Agricultural Water Management, 78, 89-107.
Rameshwaran, P., Tepe, A., Yazar, A., and Ragab, R. (2014) The effect of saline irrigation water on the yield of pepper: experimental and modeling study. Wiley Online Library: Retrieved February 18, 2015, from http://onlinelibrary.wiley.com/doi/10.1002/ird.1867/abstract
Razzaghi, F., Plauborg, F., Ahmadi, S. H., Jacobsen, S-E., Anderson, M. N., and Ragab, R. (2011). Simulation of quinoa (chenopodium quinoa wild.) response to soil salinity using the SALTMED model. ICID 21st International Congress on Irrigation and Drainage, 15-23 Oct., Tehran, Iran.
Silva, L. L., Ragab, R., Duarte, I., Lourenc, E., Simo˜es, N., and Chaves, N. N. (2013). Calibration and validation of SALTMED model under dry and wet year conditions using chickpea field data from Southern Portugal. Irrigation Science, 31, 651–659.
Smedema L. K. and Rycroft. D. W. (1983). Land drainage: Planning and design of agricultural drainage systems. Cornell University Press: Ithaca N.Y
Steduto, P., Raes, D., Hsiao, T. C., Fereres, E., Heng, L., Izzi, G., and Hoogeveen, J. (2008). AquaCrop: a new model for crop prediction under water deficit conditions. Options Méditerranéennes, 80(A), 285-292.
Stricevic, R., Cosic, M., Djurovic, N., Pejic, B., and Maksimovic, L. (2011). Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower. Agricultural Water Management, 98, 1615– 1621.
Tyagi, N. K. (2003) Managing saline and alkali water for higher productivity. In Kijne, J. W., Barker, R., Molden, D. (Eds.), Water Productivity in Agriculture: Limits and Opportunities for Improvement. (pp. 69–88). CABI: Wallingford.
Ziaii, Gh., Babazadeh, H., Abbasi, F., and Kaveh, F. (2014) Evaluation of the AquaCrop and CERES-Maize models in assessment of soil water balance and maize yield. Iranian Journal of Soil and Water Research, 45(4), 435-445 (In Farsi).

فایل ها

هم رسانی

ارجاع به این مقاله

آمار