پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شمارهها | 6,532 |
| تعداد مقالات | 70,501 |
| تعداد مشاهده مقاله | 124,111,703 |
| تعداد دریافت فایل اصل مقاله | 97,215,333 |
Capillary rise simulation using UPFLOW model in sugarcane Agro-industries of Khuzestan. | ||
| Desert | ||
| مقاله 4، دوره 28، شماره 2، اسفند 2023، صفحه 217-229 اصل مقاله (810.08 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jdesert.2023.95507 | ||
| نویسندگان | ||
| Saeed Ejrami1؛ Bijan Khalilimoghadam* 1؛ Ali Sheini Dashtegol2؛ Siroos Jafari1 | ||
| 1Department of Soil Science, Agricultural Sciences and Natural Resources university of Khuzestan, Iran. | ||
| 2Sugarcane Research and Training Institute, Khuzestan, Iran. | ||
| چکیده | ||
| The upward movement of water through capillary rise from the shallow water-table (1–1.5 m) to the root zone (0.4–0.6 m) is an important incoming flux in the soil system. UPFLOW is a specialized model for determining capillary rise, which is a simple model with a small amount of input data. This research was conducted to assess the efficiency of the UPFLOW model in the simulation of capillary rise in shallow water-table conditions, based on the observed capillary rise using a lysimeter in the agro-industry of Amirkabir, Khuzestan. The input data of the model include: crop(root-water uptake rate at different sections of root zone, crop cover type, crop coefficient), soil(number of soil layers and their thickness, mean soil-water content of the profile, anaerobiosis point of the soil, saturated hydraulic conductivity of the soil profile), weather(maximum and minimum temperature, solar radiation, wind speed, and relative humidity, ET0) and water-table(depth to water-table from the soil surface, salt content of the groundwater) were measured. Then, the capillary rise was calculated for each month during the stages of sugarcane growth. The performance of this model was evaluated by the statistical indices including determination coefficient (R2), mean absolute error (MAE), root mean square error (RMSE), relative error (RE), and model efficiency (EF). The results of the field measurement showed that the highest amount of capillary rise (1.6 mm) was observed in July, with the maximum evapotranspiration (400 mm) and the maximum growth of sugarcane. The lowest value (0 mm) also was observed in the months when sugarcane growth stopped, i.e., November, December, January, and February. The results of this research have shown that the UPFLOW model in the studied area has not shown suitable efficiency (based on statistical indicators) in the simulation of the upward flow in specific conditions of water-table, crop, soil, climate, and management measures (R2:0.23, MAE:8.71, RMSE:9.10, RE:180.50, EF: -136.40). Therefore, this model, in shallow water-table conditions, to accurately estimate capillary rise, requires comprehensive evaluations of various effective factors and, if possible, to modify and adjust this model in this area. | ||
| کلیدواژهها | ||
| Capillary rise؛ Evapotranspiration؛ Lysimeter؛ Agro-industry؛ Salt | ||
| مراجع | ||
|
References
Ali MH, Abustan I, Islam S. 2013. Simulation of upward flux from shallow water-table using UPFLOW model. Journal of Natural Resources and Development, 3; 123-127.
Caecelia A, Peter J, Lockington TD, Bristow S. 2004. Sugarcane water use from shallow water tables:implications for improving irrigation water use efficiency. Agricultural Water Management, 65; 1–19
DeLaat PJM. 1995. Design and operation of a subsurface irrigation scheme with MUST. In Pereira, L.S., B.J. van den Broek, P. Kabat and R.G. Allen (Editors). Cropwater-simulation models in practice. Wageningen Presss, the Netherlands, pp: 123-140.
Dingre SK, Gorantiwar SD. 2020. Determination of the water requirement and crop coefficient values of sugarcane by field water balance method in semiarid region. Agricultural Water Management, 232; 106042.
Feddes RA, Kowalik PJ, Zaradny H. 1978. Simulation of Field Water Use and Crop Yield, Simulation Monographs, PUDOC. Wageningen, the Netherlands.
Gru¨nberger OJ, Michelot L, Bouchaou L, Macaigne P, Hsissou Y, Hammecker C. 2011. Capillary rise quantifications based on in-situ artificial deuterium peak displacement and laboratory soil characterization. Hydrology and Earth System Sciences, 15; 1629–1639.
Lacour J, Peters A, Schonsky H, Wessolek J. 2013. Capillary rise in partially water repellent soils–measurements and modeling. Geophysical Research Abstracts, Vol. 15.
Lecina S, Martınez-Cob A, Perez PJ, Villalobos FJ, Baselga JJ. 2003. Fixed versus variable bulk canopy resistance for reference evapotranspiration estimation using the Penman–Monteith equation under semiarid conditions. Agricultural Water Management, 60; 181–198.
Lu N, Likos WJ. 2004. Rate of Capillary Rise in Soil. Journal of Geotechnical and Geoenvironmental Engineering, 130; 247-281.
Niazian M, Sadat-Noori SA, Abdipour M. 2018. Artificial neural network and multiple regression analysis models to predict essential oil content of ajowan (Carum copticum L.). Journal of Applied Research on Medicinal and Aromatic Plants, 9; 124-131.
Page AL, Miller RH, Keeney DR. 1982. Methods of Soil Analysis, part2, chemical and microbiological properties. American Society of Agronomy, Inc. Soil Science Society of America. Madison, WI.
Piotr J. 2006. Drainage and capillary rise components in water balance of alluvial soils. Agricultural Water Management, 86; 206–211.
Qureshi S, Madramootoo CA. 2013. Modelling the Soil Water Balance of a Sugarcane Crop in Sindh, Pakistan with SWAP93. Canadian Water Resources Journal. ISSN: 0701-1784.
Raes D. 2000. ET0: A software for calculation of reference evapotranspiration. Dept. of Land and Water Management, K. U. Leuven University, Leuven, Belgium.
Raes D, Deproost P. 2002. UPFLOW, a model to assess water and salt movement from a shallow water table to the topsoil. Agricultural Water Management, 59; 83–91.
Raes D, Deproost P. 2003. Model to assess water movement from a shallow water table to the root zone. Agricultural Water Management, 62; 79–91.
Shini Dashtgol A, Hamoudi M. 2015. Investigation of water requirement and sugar cane plant coefficients by lysimeter in sugarcane lands, south of Ahvaz. Thirty-sixth Annual Seminar on Sugar Factory, Karaj.
Siddique JI, Anderson DM, Bondarev, A. 2009. Capillary rise of a liquid into a deformable porous material. Physics of fluids 21.013106.
Saeedavi Z, Khalilimoghadam B, Bagheri Bodaghabadi M, Rangzan N. 2017. Land suitability assessment for urban green space using AHP and GIS: A case study of Ahvaz parks, Iran. Desert, 22; 117-133.
Webster DH. 1983. Measurement of capillary rise under field conditions and related soil properties. Research Branch, Agriculture Canada Kentville, Nova Scotia.B4N 1J5.
Yang J, Wan S, Deng W, Zhang G. 2007. Water fluxes at a fluctuating water table and groundwater contributions to wheat water use in the lower Yellow River flood plain, China. Hydrological Processes, 21; 717–724. | ||
|
آمار تعداد مشاهده مقاله: 114 تعداد دریافت فایل اصل مقاله: 174 |
||