Abstract
Population growth, urban expansion and intensive agriculture and thus increased use of fertilizers aimed at increasing the production capacity cause extensive loss of nutrients such as nitrogen and phosphorus and lead to reduced quality of soil and water. Therefore, identification of nutrients in the soil and their potential are essential. The aim of this study was to evaluate the capability of the SWAT model in simulating runoff, sediment, and nitrogen and phosphorus losses in Tamer catchment. Runoff and sediment measured at Tamar gauging station were used to calibrate and validate the model. Simulated values were generally consistent with the data observed during calibration and validation period (0.6 < R2 and 0.5 < NS). In the case of nitrogen loss, the model performed an almost good simulation (0.6 < R2 and 0.47 < NS), but phosphorus simulation yielded better results (0.76 < R2 and 0.66 < NS). The results showed that cultivated lands had higher loss of nitrogen and phosphorus than other types of land use. Among the various forms of nitrogen and phosphorus, the loss of organic nitrogen and nitrate and soluble phosphorus and mineral phosphorus attached to the sediments showed the greatest sensitivity to the type of land use. Results also showed that the average nutrient loss caused by erosion in this catchment, was 6.99 kg/ha for nitrogen, 0.35 kg/ha for nitrate, 1.3 kg/ha for organic phosphorus, 0.015 kg/ha for soluble phosphorus, and 0.45 kg/ha for mineral phosphorus.
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References
A. Bakhshande, MSc Thesis (Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, 2011).
L. Barlund, T. Kirkkala, O. Malve, and J. Kamiiri, “Assessing the SW AT model performance in the evaluation of management actions for the implementation of the Water Framework Directive in a Finnish catchment,” Environ. Model. Soft. 22 (5), 719–724 (2007).
D. K. Borah and M. Bera, “Catchment-scale hydrologic and nonpoint-source pollution models: Review of mathematical bases,” Trans. ASAE 46 (6), 1553–1566 (2003).
D. D. Bosch, J. M. Sheridan, H. L. Batten, and J. G. Arnold, “Evaluation of the SWAT Model on a coastal Plain Agricultural Catchment,” Trans. ASAE 47 (5), 1493–1506 (2004).
H. Chang, “Basin hydrologic response to changes in climate and land use: the Conestoga River Basin, Pennsylvania,” Phys. Geogr. 24, 222–247 (2003).
T. W. Chu, A. Shirmohammadi, H. Montas, and A. Sadeghi, “Evaluation of the SWAT model’s sediment and nutrient components in the Piedmont physiographic region of Maryland,” Trans. ASAE 47 (5), 1523–1538 (2004).
M. Di Luzio, R. Srinivasan, and J. G. Arnold, “Integration of catchment tools and SWAT model into BASINS,” J. Am. Water Resour. Assoc. 38 (4), 1127–1141 (2002).
M. Dolatkhahi, MSc Thesis (Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, 2001).
R. D. Harmel, R. J. Cooper, R. M. Slade, R. L. Haney, and J. G. Arnold, “Cumulative uncertainty in measured stream flow and water quality data for small catchments,” Trans. ASABE 49 (3), 689–701 (2006).
S. Hashemi Rad, MSc Thesis (Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, 2011).
M. H. Hemmatju, MSc Thesis (Isfahan University of Technology, Isfahan, 2009).
F. Khormali and M. Kehl, “Micromorphology and development of loess-derived surface and buried soils along a precipitation gradient in Northern Iran,” Quat. Int. 234, 109–123 (2011).
R. P. C. Morgan, Soil Erosion and Conservation (Blackwell, Oxford, 2005).
S. L. Neitsch, J. G. Arnold, J. R. Kiniry, J. R. Williams, and K. W. King, Soil and Water Assessment Tool Theoretical Documentation-Version 2000 (Agricultural Research Service and Blackland Research Center, Texas Agricultural Experiment Station, Temple, 2002).
V. K. Pandey, S. N. Panda, and S. Sudhakar, “Modeling of an agricultural catchment using remote sensing and a geographic information system,” Biosyst. Eng. 90, 331–347 (2004).
T. Ramanarayanan, B. Narasimhan, and R. Srinivasan, “Characterization of fate and transport of isoxaflutole, a soil-applied corn herbicide, in surface water using a catchment model,” J. Agric. Food Chem. 53 (22), 8848–8858 (2005).
A. Reihani Tabar, Nitrate, Agriculture, and the Environment (Tabriz University Press, Tabriz, 2006).
R. Rostamian, MSc Thesis (Isfahan University of Technology, Isfahan, 2006).
C. Santhi, J. G. Arnold, J. R. Williams, W. A. Dugas, R. Srinivasan, and L. M. Hauck, “Validation of the SWAT model on a large river basin with point and nonpoint sources,” J. Am. Water Resour. Assoc. 37 (5), 1169–1188 (2001).
B. Torabi, PhD Thesis (Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, 2012).
M. J. Vander Zanden, Y. Vadeboncoeur, M. W. Diebel, and E. Jeppesen, “Primary consumer stable nitrogen isotones as indicators of nutrient source,” Environ. Sci. Technol. 39, 7509–7515 (2005).
K. L. White and I. Chaubey, “Sensitivity analysis, calibration, and validation for a multisite and multivariable SWAT model,” J. Am. Water Res. Assoc. 41 (5), 1077–1089 (2005).
Y. Wu and J. Chen, “Simulation of nitrogen and phosphorus loads in the Dongjiang River basin,” Front. Earth Sci. China 3 (3), 273–278 (2009).
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Kiani, F., Behtarinejad, B., Najafinejad, A. et al. Simulation of Nitrogen and Phosphorus Losses in Loess Landforms of Northern Iran. Eurasian Soil Sc. 51, 176–182 (2018). https://doi.org/10.1134/S1064229318020035
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DOI: https://doi.org/10.1134/S1064229318020035