DOI QR코드

DOI QR Code

Estimation of Daily Solar Radiation at the Missing Point for Water Quality Impact Assessment in Nakdong River Watershed: Comparison of Modified Angstrom Model and Transmittance interpolation Model

수질 영향평가 신뢰수준 향상을 위한 낙동강 유역 미관측 지점에서의 일사량 추정: 수정형 Angstrom모형과 투과율모형의 비교

  • Received : 2011.07.20
  • Accepted : 2011.12.05
  • Published : 2012.02.29

Abstract

Daily solar radiation is essential for water resources planning and environmental impact assessment. However, radiation data is not commonly available in Korea other than in big cities, and there has been no direct measurement for rural areas where water resources planning and environmental impact assessment is usually most needed. In general, missing radiation data is estimated from nearby regional stations within a certain distance, and this study compared two dominant methods (modified Angstrom equation and transmittance interpolation method) at six stations in Nakdong River watershed area. Two methods shows a similar level of accuracy but the transmittance interpolation method is likely to be superior in that there is no need for any measurement element since the modified Angstrom equation require the sunshine hour measurement. This study will contribute to improve water resource and water quality management in Nakdong River watershed.

Keywords

References

  1. Angstrom, A. 1924. Solar and Terrestrial radiation. Quarterly Journal of Royal Society. 50, 121-125.
  2. Allen, R. G., 1995. Evaluation of procedure for estimating mean monthly solar radiation from air temperature. Rep., United Nations Food and Agric. Org.(FAO), Rome, Italy.
  3. Duan, Q.Y. and Gupta, V.K., Sorooshian S. 1993, Shuffled Complex Evolution approach for effective and efficient global minimization. J. Optimiz. Theor. Appl, 76, 501-521. https://doi.org/10.1007/BF00939380
  4. Duan, Q.Y., Sorooshian, S., Gupta, V.K., 1994. Optimal use of the SCE-UA global optimization method for calibrating watershed models. Journal of Hydrology, 158, 265-284. https://doi.org/10.1016/0022-1694(94)90057-4
  5. Lee, K., 2009. Predicting Incoming Solar Radiation and Its Application to Radiation-based Equation for Estimating Reference Evapotranspiration, Journal of Irrigation and Drainage Engineering-ASCE, 135(5), 609-619 https://doi.org/10.1061/(ASCE)IR.1943-4774.0000062
  6. Lee, K., 2010, Constructing a Nonlinear Relationship Between Incoming Solar Radiation and Bright Sunshine Duration, International Journal of Climatology, 30, 1884-1892.
  7. Martin, J.L. and McCutcheon, S.C., 1999. Hydrodynamics and Transport for Water Quality Modeling, Lewis Publishers.
  8. Nash, J.E. and Sutcliffe, J.V., 1970. River flow forecasting through conceptual models, I-A Discussion of principles. Journal of Hydrology, 10, 282-290. https://doi.org/10.1016/0022-1694(70)90255-6
  9. Nelder, J.A. and Mead, R.A., 1965. A simplex method for function minimization. Comput. J., 7, 308-313. https://doi.org/10.1093/comjnl/7.4.308
  10. Prescott, J., 1940. Evaporation from a water surface in relation to solar radiation. Trans R. Sec. South Australia, 64, 114-118.
  11. Snoeyink, V.L. and Jenkins, D., 1980. Water Chemistry, John-Wiley & Sons.
  12. Taylor, F.W., 2005. Elementary Climate Physics, Oxford Univ. Press.
  13. Thomann, R.V. and Mueller, J.A., 1987. Principles of Surface Water Quality Modeling and Control, Harper Collins Publishers.