1. Title, Journal and Authors

Title: New methodology of evaluation of best management practices performances for an agricultural watershed according to the climate change scenarios: A hybrid use of deterministic and decision support models

Journal: Ecological Engineering

Authors: Dong Jin Jeona, Seo Jin Kib, YoonKyung Chac, Yongeun Parkd, Joon Ha Kima,*

a. School of Environment, GIST

b. Department of Environmental Engineering Gyeongnam National University of Science and Technology,

c. Department of Environmental Engineering, University of Seoul

d. School of Civil and Environmental Engineering, Konkuk University

 

2. Summary

This paper is written for analyzing the optimal BMPs in three climate change scenarios using SWAT and MODSS based on a non-dominated sorting genetic algorithm. Yeongsan river basin is selected for the sampling area. Water quality data is analyzed by SWAT and BMPs are introduced. Then, the optimal BMPs are analyzed by MODSS.

TP loading is affected by fertilizer and TP load and sediment load are the highest in RCP 4.5. The results of MODSS show that optimal BMPs differ following climate change scenarios. Because the optimal BMPs are dependent on the land use pattern, a detailed analysis of selecting BMPs or their combinations in response to watershed characteristics such as climate change and land-use patterns along with the target pollutants.

 

3. Contact

Dae Seong Jeong / Integrated Ph.D. program

 

Environmental Systems Engineering Lab.

School of Earth Sciences and Environmental Engineering

Gwangju Institute of Science and Technology

1 Oryong-dong Buk-gu Gwangju, 500-712, Korea

 

Phone : +82-10-2003-7860

E-mail : jeongds92@gist.ac.kr