WASP5 & WASP Builder을 이용한 농업용저수지 유역의 수질관리

Water Quality Management using WASPS & WASP Builder for a Basin of an Agricultural Reservoir

  • 정팔진 (전북대학교 공과대학 환경화학공학부) ;
  • 고홍석 (전북대학교 농과대학 생물자원시스템공학부) ;
  • 현미희 (전북대학교 공과대학 환경화학공학부) ;
  • 이은주 (전북대학교 공과대학 환경화학공학부)
  • Chung, Paul-Gene (Division of Environmental & Engineering Chonbuk National University) ;
  • Goh, Hong-Seok (Division of Bioresource, Systems Engineering Chonbuk National University) ;
  • Hyun, Mi-Hee (Division of Environmental & Engineering Chonbuk National University) ;
  • Lee, Eun-Ju (Division of Environmental & Engineering Chonbuk National University)
  • 투고 : 2004.04.27
  • 심사 : 2004.08.25
  • 발행 : 2004.09.30

초록

Water quality modeling was performed for the purpose of diagnosis and prediction of water quality in Gyoung Choen reservoir, using EUTR05/WASP Build model. WASP Builder is capable of visual display in window and it has an advantage of updating and modification for data. Field data of 1992, Spring, Summer, and Fall, were used to calibrate model and these results were validated using data of 2000, Spring, Summer, and Fall. The reservoir was divided into 4 epilimnion segments. Water quality system for modeling were consist of BOD, Chlorophyll-a, DO, $NH_3-N$, $NO_3-N$, T-N, $PO_4-P$, T-P. The results of water quality modelling using EUTR05/WASP Builder, a range of the Correlation for calibration of BOD, T-N, T-P, and Chlorophyll-a according to three seasons are 0.63~0.90, 0.81~0.97, 0.75~0.98, and 0.77~0.98 respectively. And the correlation between simulated and observed values for verification of BOD, T-N, T-P, and Chlorophyll-a according to three seasons are 0.93, 0.94, 0.81, and 0.80 respectively. Among the pollutant sources for a basin of the Gyoung Choen reservoir, generated amount of livestock is the highest and BOD, T-N, T-P of generated loading percentage are 94%, 81%, and 95%. So, we suppose that inflow load amount will decrease 50% and increase 50% only livestock about current load amount. If increasing load amount of livestock 50% in segment 2 and 3, BOD, T-N, and T-P simulated increasing to range of $0.02~0.15mg/{\ell}$, $0.029~0.08mg/{\ell}$, $0.011~0.029mg/{\ell}$ in comparison with current water quality

키워드

참고문헌

  1. 기상청, http://www.kma.go.kr/minwon/minwon.jsp
  2. 신동석, 권순국, WASP5 모형을 적용한 복하천의 수질 예측, 한국환경농학회지, 16(3), pp. 233-238 (1997)
  3. 이종호, WASPS 에 의한 대청호 수질모델링, 환경영향평가, 8(1), pp. 93-105 (1999)
  4. 익산농업기반공사, 수리자료, (1990~2003)
  5. 전라북도, 가두리 양식장 실태조사 보고서-경천 및 대아 저수지의 가두리 양식장과 비점오 염원이 수질에 미치는 영향조사 (1992)
  6. 최영길, 한명수, 안태영, 곽노태, 담수의 부영양화, 신광문화사, p. 194 (1995)
  7. Ambrose, Robert B. and James L. Martin. The Water Quality Analysis Simulation Program, WASPS Part A Model Documentation. Environmental Research Laboratory, U. S. EPA. (1993)
  8. Ambrose Robert B. and James L. Martin. The Water Quality Analysis Simulation Program, WASPS Part B The WASPS Input Dataset , Environmental Research Laboratory. U. S. EPA. (1993)
  9. Ambrose, Robert B. and James L. Martin. The Dynamic Estuary Model Hydrodynamics Program, DYNHYD5 Model Documentation and User Manual, Environmental Research Laboratory, U. S. EPA. (1993)
  10. Auer. M. T., and Forrer. B. E., Development and Parameterization of a Kinetic Framework for Modeling Light-and Phosphorus-Limited Phytoplankton Growth in Cannonsville Reservoir, Lake and Reservoir Management. 14(2-3), pp. 290-300 (1998)
  11. Integrated Decision Support Group, WASP Builder Version 1.2 South Platte Mapping and Analysis Program. Colorado, USA. (2000)