Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/9962
Title: Simulation of nitrate leaching in Yala season in Batticaloa - A modeling approach
Authors: Bawatharani, T.
Mowjood, M.I.M.
Dayawansa, N.D.K.
Kumaragamage, D.
Keywords: LEACHM-N
leaching
sandy regosols
Yala
lysimeter
preferential flow
Issue Date: 2010
Publisher: University of Kelaniya
Citation: Bawatharani, T., Mowjood, M.I.M., Dayawansa, N.D.K. and Kumaragamage, D. 2010. Simulation of nitrate leaching in Yala season in Batticaloa - A modeling approach. Journal of Science, University of Kelaniya, Sri Lanka, 05: 33-45.
Abstract: The leaching behaviour of NO3--N was evaluated through field experiments with those predicted by LEACHM-N, a uni-dimensional, water flow, solute transport and plant uptake model. Therefore, the objective of this study was to evaluate the application of LEACHM-N for predicting nitrate leaching in Batticaloa during Yala 2005. Field experiments were carried out from April 12th 2005 to June 30th 2005. The experimental treatments were 3 nitrogen rates (0, 70 and 140 kg N/ha) together with 3 irrigation rates (7, 14 and 30 mm) which resulted in 9 treatment combinations. The treatments were arranged in a split plot design in 3 replicates. Twenty seven cylindrical lysimeters with 1 m height and 50 cm diameter were built in at the experimental site. Outlets from each lysimeters were fixed with outflow pipes, directed to an underground sampling point, from where the water samples were collected. Red onion (Allium cepa; var. Vethalan) was planted in the lysimeters. Nitrogen fertilizer was applied 3 times during the cropping season. Irrigation water was delivered using a micro sprinkler system. Leachates from individual outlets were collected separately and NO3--N was determined spectrophotometrically by the Cadmium reduction method. A moderately good agreement has been found out in between the measured and the predicted NO3--N losses, but the model overestimated the losses. The treatment combination 140 kg N/ha with 30 mm of irrigation showed better simulation accuracy. It was also found out that the model was unable to predict preferential flow.
URI: 
http://repository.kln.ac.lk/handle/123456789/9962
Appears in Collections:Volume 05 - 2010

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