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Enhancement of SWAT-REMM System to Analyze Reduction Characteristics of Nonpoint Source Pollution With Various Riparian Buffer System Scenarios

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010  1000011.(doi:10.13031/2013.29600)
Authors:   Jichul Ryu, Jae-Pil Cho, Ik-Jae Kim, Yuri Mun, Jong-Pil Moon, Namwon Kim, Seong-Joon Kim, Dong Soo Kong, Kyoung Jae Lim
Keywords:   Riparian buffer, RBS, SWAT, REMM, Water quality

In recent years, riparian buffer system has been known as one of the effective best management practices. However, establishment of riparian buffer system in aspect of plant species and its position in the riparian buffer zone has not been investigated due to lack of efficient evaluation method for the analysis of water quality improvement with established riparian buffer system. To solve this problem, the SWAT-REMM Prototype model was developed by the researchers in Canada, which also have many limitations in applying it to other watersheds because many model input parameters are not read from the local input data. Thus the original SWAT-REMM was enhanced by modifying the pre-processor and post-processor of the SWAT-REMM system. This enhanced SWAT-REMM system was applied to the Doam-dam watershed in Korea. The muddy water and entailed nutrients inflow to the Doam-dam watershed have degraded water quality of the watershed. In this study 3 riparian buffer scenarios, 15 m width for tree and grass and only 8 m width for tree, were made to evaluate the effects of riparian buffer system on water quality improvement, especially through subsurface flow. It was found that the reduction rates of NO3-N from 15m forest were by 27.98% and 75.23% in surface runoff and sub-surface runoff respectively. Whereas, 27.85% and 4.26% reduction in NO3-N from 15m grass in respective surface and subsurface runoff, and 24.51% and 44.62% reduction in NO3-N in similar way from 8m width forest in riparian zone. The results obtained from the analysis showed that deep rooted forests are found to be more effective in reducing non-point pollutant than shallow rooted grass in the riparian buffer zone system. Hence the SWAT-REMM model could be efficiently used to evaluate and design most effective riparian buffer systems to reduce pollutant loads to the watershed.

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