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J. L. Hutson and R. J. Wagenet, “Leaching Estimation and Chemistry Model,” Version 3, Research Series No 92-3, Department of Soil, Crop and Atmospheric Sciences, Cornell University, Ithaca, New York, 1992.

has been cited by the following article:

  • TITLE: Simulation of Nitrate Contamination in Groundwater Caused by Livestock Industry (Case Study: Rey)

    AUTHORS: Majid Ehteshami, Armin Sefidkar Langeroudi, Salman Tavassoli

    KEYWORDS: Livestock Industry; Nitrate Pollution; Pollution of Groundwater; LEACHN

    JOURNAL NAME: Journal of Environmental Protection, Vol.4 No.7A, July 17, 2013

    ABSTRACT: With the economic development of many communities and the growing human population more food is needed. The livestock industry is one of the fastest growing industries in developing countries. The development of the livestock industry and the increase of livestock waste happens as a result of the growth in food production. The wastes are stored in a way that contamination of groundwater and surface water pollution in the environment has a significant impact on environment. This study analyses the environmental impact of livestock facilities and nitrate leaching in groundwater. After site sampling and libratory analysis, calibration of a simulation model with observed data was done to show nitrate contamination in “Rey” groundwater. The movement of nitrate into soil and groundwater was simulated by LEACHN. By defining various scenarios and performing sensitivity analysis, we examined precisely the factors affecting ground water contaminations. Along together with the analysis of different scenarios and comparing them with the measured values, seasonal rainfall conditions have greatest impact on the rate of recharge of nitrate to groundwater. Therefore soil with low rainfall shows 44% reduction of nitrate leakage at a depth of 30 cm of soil conditions. Finally, the modeling results and graphs from different scenarios for purpose of nitrate reduction in groundwater were presented. The good match between model results and observed data showed that the model is calibrated to this area and can be used for prediction purposes and further studies.