Investigating the effect of different fertilization strategies on the amount of nitrate output of the irrigation network using the SWAT model (case study: Dez irrigation and drainage network)

Document Type : Research Paper

Authors

1 KWPA

2 shaid chamran university

3 irrigation and drainage department of scu

4 Sanru

5 scu

Abstract

Indiscriminate use of chemical fertilizers and drainage of agricultural land containing these compounds lead to water source pollution. Therefore, in the present study, in order to evaluate the effect of different fertilization strategies on the amount of nitrate output using the SWAT model, Dez irrigation and drainage network was investigated using the SWAT model. Calibration and validation of the model for simulating the amount of nitrate was done using statistical data from 2010 to 2014 and 2015 to 2017 at Bamdej. In this regard, the information related to the agricultural management of the region, including the cultivation pattern and date of sowing and harvesting, the amount and time of irrigation, and the amount of fertilization of the study area, were entered into the model. In order to evaluate the effect of fertilization rate on surface water quality, the scenarios of reducing the fertilization rate were introduced to the model. The results of model evaluation using R2 and NSE coefficients show the appropriate performance of the model in simulating the mentioned parameters. The results of the application of fertilization reduction scenarios showed that by applying 10, 20, 30, 40, 50, 60 and 70% reduction of fertilization, nitrate decreased by 2.74, 9.31, 11.25, 14.83, 17.95, 21.23, and 26.62 percent respectively.Therefore, the correct management of fertilizer consumption at the farm level, the use of organic fertilizers, as well as the use of modern methods of fertilization and irrigation can reduce the damage caused by the excessive use of chemical fertilizers on water resources.

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Articles in Press, Accepted Manuscript
Available Online from 12 November 2024
  • Receive Date: 18 June 2023
  • Revise Date: 25 August 2024
  • Accept Date: 26 October 2024
  • Publish Date: 12 November 2024