Browse > Article

Climate Change Impact on Nonpoint Source Pollution in a Rural Small Watershed  

Hwang, Sye-Woon (Department of Rural Systems Engineering/Research Institute for Agriculture and Life Sciences, Seoul National University)
Jang, Tae-Il (Department of Rural Systems Engineering/Research Institute for Agriculture and Life Sciences, Seoul National University)
Park, Seung-Woo (Department of Rural Systems Engineering/Research Institute for Agriculture and Life Sciences, Seoul National University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.8, no.4, 2006 , pp. 209-221 More about this Journal
Abstract
The purpose of this study is to analyze the effects of climate change on the nonpoint source pollution in a small watershed using a mid-range model. The study area is a basin in a rural area that covers 384 ha with a composition of 50% forest and 19% paddy. The hydrologic and water quality data were monitored from 1996 to 2004, and the feasibility of the GWLF (Generalized Watershed Loading function) model was examined in the agricultural small watershed using the data obtained from the study area. As one of the studies on climate change, KEI (Korea Environment Institute) has presented the monthly variation ratio of rainfall in Korea based on the climate change scenario for rainfall and temperature. These values and observed daily rainfall data of forty-one years from 1964 to 2004 in Suwon were used to generate daily weather data using the stochastic weather generator model (WGEN). Stream runoff was calibrated by the data of $1996{\sim}1999$ and was verified in $2002{\sim}2004$. The results were determination coeff, ($R^2$) of $0.70{\sim}0.91$ and root mean square error (RMSE) of $2.11{\sim}5.71$. Water quality simulation for SS, TN and TP showed $R^2$ values of 0.58, 0.47 and 0.62, respectively, The results for the impact of climate change on nonpoint source pollution show that if the factors of watershed are maintained as in the present circumstances, pollutant TN loads and TP would be expected to increase remarkably for the rainy season in the next fifty years.
Keywords
Climate change; WGEN; GWLF model; Nonpoint source pollution;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Lim, H. J., H. J. Kwon, D. H. Bae, and S. J. Kim, 2006: Analysis of hydrological impact using climate change scenarios and the CA-Markov technique on Soyanggangdam watershed. Journal of Korea Water Resources Association 39(5), 453-466   과학기술학회마을   DOI
2 Park, J. M., 2003: Development of GIS based farmland flooding damage simulation system. Ph. D. thesis, Seoul National University
3 김숭, 신현민, 1992: 서울지점 강수의 장기간 변동성향에 대한 통계학적 검증. 수공학연구발표회논문집 , 264-272
4 환경부, 2003: 공장폐수의 발생과 처리
5 Choi, Y., 2002: Changes on frequency and magnitude of heavy rainfall events in Korea. Journal of the Korean Data Analysis Society 4(3), 269-282
6 Nash, J. E., and J. V. Sutcliffe, 1970: River flow forecasting through conceptual models: 1. A discussion of principles. Journal of Hydrology 10, 282-290   DOI   ScienceOn
7 Yoon, Y. N., C. S. Yoo, J. S. Lee, and J. H. Ahn, 1998: On the change of flood and drought occurrence frequency due to global warming : 2. Estimation of the change in daily rainfall depth distribution due to global warming. Journal of Korea Water Resources Association 32(6), 627-636
8 Zhang, X. C., and W. Z. Liu, 2005: Simulating potential response of hydrology,soil erosion, and crop productivity to climate change in Changwu tableland region on the loess plateau of China. Agricultural and Forest Meteorology 131, 127-142   DOI   ScienceOn
9 통계청, 2004: 화성시통계연보
10 Jung, H. S., K. H. Lim, and H. O. Jai, 1999: Interpretation of the transient variations in the time series of precipitation amounts in Seoul. Journal of the Korean Meteorological Society 35(3), 354-371
11 Kang, M. S., and S. W. Park, 2003: Development and application of total maximum daily loads simulation system using nonpoint source pollution model. Journal of Korea Water Resources Association 36(1), 117-128   DOI
12 Lim, S. J., and S. W. Park, 1997: Estimating runoff curve number for rice paddies. Journal of Korea Water Resources Association 30(4), 379-387
13 Oh, J. H., and S. G. Hong, 1995: Precipitation change in Korea due to atmospheric $CO_2$ increase. Journal of Korea Water Resources Association 28(3), 143-157
14 환경부, 2004: 4대강 비점오염관리 종합대책
15 Kang, M. S., 2002: Development of total maximum daily loads simulation system using artificial neural networks for satellite data analysis and nonpoint source pollution models. Ph. D. thesis, Seoul National University
16 Kwon, W. T., 2005: Special Issue: The second national climate change workshop; Articles : Current status and perspectives of climate change sciences. Journal of the Korean Meteorological Society 41(2-1), 325-336
17 Richardson, C. W., and D. A. Wright, 1984: WGEN: A Model for Generating Daily Weather Variables, United States Department of Agriculture. Agriculture Research Service, ARS-8
18 정규연, 이동률, 정성원,2003: 설마천과 안양천에서의 강우 시장에 따른 오염물질 유출특성, 한국수자원학회학술발표회논문집 (I), 125-128
19 Kang, M. S., S. W. Park, J. J. Lee, and K. H. Yoo, 2006: Appling SWAT for TMDL programs to a small watershed containing rice paddy fields. Agricultural Water Management 79, 72-92   DOI   ScienceOn
20 Haith, D. A., and L. L. Shoemaker, 1987: Generalized watershed loading functions for stream flow nutrients. Water Resources Bulletin 23(3), 471-478   DOI   ScienceOn
21 Cho, J. P., 1998: Application of AGNIPS model with rural watersheds having complex landuse characteristics. M S. thesis, Seoul National University
22 Kang, I. S., C. H. Ho, and K. D. Min, 1992: Long-range forecast of summer precipitation in Korea. Journal ofthe Korean Meteorological Society 28(3), 283-292
23 Korea Environment Institute (KEI), 2004: Development of Impact Assessment Model by Climate Change in Water Resources
24 Haith, D. A., Ross Mande, and R. S. Wu, 1992: Generalized Watershed Loading Functions Ver. 2.0 User's Manual. Department of Agricultural & Biological Engineering, Cormell university
25 유철상, 이동률, 2000: 기후변화와 수자원 : 국내의 연구동향. 한국수지원학회지 33, 42-47
26 Lim G. H, and H. S. Jung, 1992: Interannual variation of the annual precipitations at Seoul, 1771-1990. Journal of the Korean Meteorological Society 28(2), 125-132