• Title of article

    SYSTEM-ANALYTICAL MODELLING: 2. ASSESSMENT OF RUNOFF MODEL SENSITIVITY TO ENVIRONMENTAL FACTOR VARIATIONS

  • Author/Authors

    Kirsta, Yu.B. Institute for Water and Environmental Problems - Siberian Branch of the Russian Academy of Sciences (IWEP SB RAS), Russian Federation

  • Pages
    11
  • From page
    67
  • To page
    77
  • Abstract
    To evaluate the performance of deterministic models in earth science, an elemen- tary method for assessing their sensitivity to natural variations of environmental factors and the subsequent uncertainty analysis (the evaluation of residual variance components) are pro- posed. Using a regional model of mountain river runoff as an example, the model sensitivity and all the components of its residual variance are calculated. It is shown that the sensitivity decreases in the sequence “precipitation – air temperature – landscape structure of the river basin” making 22–8–6 explained percent of the observed runoff variance respectively. Model inaccuracy does not exceed 34% of this variance. The most probable river runoff can be forecasted for 3–4 months ahead with a twice reduced variance as compared to the similar forecast based on the observed mean runoff.
  • Keywords
    mathematical models , sensitivity analysis , uncertainty analysis , runoff , environ- mental factors , residual variance
  • Journal title
    Eurasian Journal of Mathematical and Computer Applications
  • Serial Year
    2020
  • Record number

    2603020