Uncertainty analysis in QUAL2E model of Zayandeh-Rood River

Abrishamchi, A ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.2175/106143005X41861
  3. Publisher: Water Environment Federation , 2005
  4. Abstract:
  5. Water-quality modeling and prediction is a complicated task because of inherent randomness and uncertainties associated with various processes and variables throughout the stream environment and the lack of appropriate data. Hence, the results of mathematical models are always approximate, lying within an uncertainty. This paper describes and demonstrates the application of the U.S. Environmental Protection Agency's water-quality model, QUAL2E-UNCAS, to the Zayandeh-Rood River in Iran. First-order reliability analysis is used to examine the variability of predicted water-quality parameters of total dissolved solids, dissolved oxygen, and biochemical oxygen demand. This analysis also determines key sources of uncertainty affecting prediction of the water-quality parameters. The results show that reliability analysis can help water-quality modelers and planners to quantify the reliability of the water-quality predictions and to carry out more efficiently planned sampling and data collection programs to reduce model-prediction uncertainty
  6. Keywords:
  7. Data acquisition ; Environmental protection ; Mathematical models ; Planning ; Stream environment ; Total dissolved solids (TDS) ; Uncertainty analysis ; Zayandeh-Rood River ; Rivers ; Dissolved oxygen ; River ; Water quality ; River water ; Biochemical oxygen demand ; Calibration ; Information processing ; Iran ; Mathematical analysis ; Mathematical model ; Parameters of measurement and analysis ; Prediction and forecasting ; Priority journal ; Randomization ; River basin ; Sampling ; Sensitivity analysis ; Statistical analysis ; Statistical concepts ; Surface water hydrology ; Uncertainty ; Water analysis ; Asia ; Eastern Hemisphere ; Eurasia ; Middle East ; World
  8. Source: Water Environment Research ; Volume 77, Issue 3 , 2005 , Pages 279-286 ; 10614303 (ISSN)
  9. URL: https://pubmed.ncbi.nlm.nih.gov/15969294