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Climate Change 2016
October 27-29, 2016
Volume 7, Issue 9(Suppl) J Earth Sci Clim Change
ISSN: 2157-7617 JESCC, an open access journal
conferenceseries .com
October 24-26, 2016 Valencia, Spain
World Conference onClimate Change
Developing optimal diffuse pollution management strategies in agricultural water shed under future
climate change
Dong Jin Jeon1, Seo Jin Ki1, Kyung Hwa Cho2 and Joon Ha Kim 1
1Gwangju Institute of Science and Technology, Republic of Korea
2Ulsan National Institute of Science and Technology, Republic of Korea
While best management practices (BMP) are recommended to attain non-point source loads in receiving water bodies, it
is still unclear whether their efficiency will be maintained under future climate change. In a present study, Soil andWater
Assessment Tool (SWAT), a semi-distributed watershed model, was used to determine the best BMP options achieving the
necessary pollution reductions as well as to assess changes in the pollution loads in agricultural water shed between the current
and future weather conditions. Three weather scenarios for the decade of 2040 (2040–2049), which were developed from the
Representative Concentration Pathways 2.6, 4.5 and 8.5 in the Intergovernmental Panel on Climate Change Report, were
projected into the Yeongsan River watershed, Korea. The scenario covering both calibration and validation periods (2000-2009)
was used as a reference condition. Specifically, genetic algorithm was applied for obtaining the global solutions for nonlinear
problems (i.e., cost vs. efficiency). Results showed that sediment and phosphorus loads were significantly different among
various weather scenarios. This implied that the current BMP options which were determined based on the reference scenario
needed to be rearranged for the future conditions. While parallel terraces which decreased phosphorus removal efficiency
were identified as the worst option under the future weather scenarios, no tillage approach showed the best performance,
as compared to that of the current condition, for instance. We expect that the proposed methodology will provide optimal
management strategies to achieve the water quality targets in complex watersheds, specifically those with mixed land uses.
Biography
Dong Jin Jeon has completed his MS degree from Gwangju Institute of Science and Technology (GIST). He is a Doctoral student in School of Earth Sciences and
Environmental Engineering at Gwangju Institute of Science and Technology (GIST).
Dong Jin Jeon et al., J Earth Sci Clim Change 2016, 7:9(Suppl)