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Assessment of Water Quality Calibration Criteria for Field-Scale Water Quality Model

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초록

The objective of this study was to assess the statistics and associated criteria for field-scale model used to simulate nutrient concentrations in paddy field. CREAMS-PADDY, a modified version of the field-scale CREAMS model, simulates the hydrologic, sediment, and nutrient cycles in paddy fields was applied in this study. The model was calibrated and validated using data from study rice paddy fields in Republic of Korea. The calibration statistics include mean and the minimum-maximum range associated with a “temporal window” that spans a period of several days. Because nutrient concentrations in paddy filed are typically sampled infrequently (on a weekly basis, at best) and represent only an instant in time, it is not reasonable to expect any model to simulate a daily average concentration equal to an observed value on a particular day. The 5-day window and related calibration statistics were applied in this study and the applicability of this concept was tested for field-scale water quality model. As a result of calibration and validation, the ponded water nutrient concentration values showed only small changes except the fertilization period. Because of the small changes in ponded water concentration, the size of 5-day window was too small to capture the observed values. Further study is required to establish the 5-day window calibration method for field-scale water quality modeling.

Abstract

The objective of this study was to assess the statistics and associated criteria for field-scale model used to simulate nutrient concentrations in paddy field. CREAMS-PADDY, a modified version of the field-scale CREAMS model, simulates the hydrologic, sediment, and nutrient cycles in paddy fields was applied in this study. The model was calibrated and validated using data from study rice paddy fields in Republic of Korea. The calibration statistics include mean and the minimum-maximum range associated with a “temporal window” that spans a period of several days. Because nutrient concentrations in paddy filed are typically sampled infrequently (on a weekly basis, at best) and represent only an instant in time, it is not reasonable to expect any model to simulate a daily average concentration equal to an observed value on a particular day. The 5-day window and related calibration statistics were applied in this study and the applicability of this concept was tested for field-scale water quality model. As a result of calibration and validation, the ponded water nutrient concentration values showed only small changes except the fertilization period. Because of the small changes in ponded water concentration, the size of 5-day window was too small to capture the observed values. Further study is required to establish the 5-day window calibration method for field-scale water quality modeling.

참고문헌 (10)

  1. APHA, "Standard methods for the examination of water and wastewater, 20th Ed" (1998), American Public Health Association
  2. Chin, Y. M., "Nutrient loads estimation at paddy field using CREAMS–PADDY model", J. Korean Soc. Rural Plann., 8, pp.60~68 (2002)
  3. Jarvie, H. P., "Review of robust measurement of phosphorus in river water; sampling, storage, fractionation and sensitivity", Hydrology and Earth System Sciences, 6, pp.113~132 (2002)
  4. Keith, L. H., "Environmental sampling: a summary", Environmental Science and Technology, 24, pp.610~617 (1990)
  5. Kim, S. M., "Water quality calibration criteria for bacteria TMDL development", Applied Engineering in Agriculture, 23, pp.171~176 (2007)
  6. Kim, S. M., "Assessment of wastewater reuse effects on nutrient loads from paddy field using field-scale water quality model", Environ Model Assess, 13, pp.305~313 (2008)
  7. Kim, S. M., "Modeling and assessing the impact of reclaimed wastewater irrigation on the nutrient loads from an agricultural watershed containing rice paddy fields", Journal of Environmental Science and Health Part A, 42, pp.305~315 (2007)
  8. Knisel, W. G., "CREAMS: A Field–Scale Model for Chemicals, Runoff, and Erosion from Agricultural Management Systems" (1980), U.S. Department of Agriculture
  9. Paul, S., "Analysis of the HSPF water quality parameter uncertainty in predicting peak in-stream fecal coliform concentrations", Transactions of the ASAE, 47, pp.69~78 (2004)
  10. 서춘석, "관개 논에서의 영양물질 추정 모형의 개발", 한국농공학회논문집, 44(3), pp.146~156 (2002), 한국농공학회

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