The role of conceptual hydrologic model calibration in climate change impact on water resources assessment

被引:11
作者
Todorovic, Andrijana [1 ]
Plavsic, Jasna [1 ]
机构
[1] Univ Belgrade, Fac Civil Engn, Bulevar Kralja Aleksandra 73, Belgrade, Serbia
关键词
climate change; hydrologic modelling; Kolubara River; parameter transferability; RAINFALL-RUNOFF MODELS; NON-STATIONARITY; RIVER-BASIN; UNCERTAINTY; MULTIPERIOD; SENSITIVITY; SIMULATION; PREDICTION; GUIDELINES; FRAMEWORK;
D O I
10.2166/wcc.2015.086
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Assessment of climate change (CC) impact on hydrologic regime requires a calibrated rainfall-runoff model, defined by its structure and parameters. The parameter values depend, inter alia, on the calibration period. This paper investigates influence of the calibration period on parameter values, model efficiency and streamflow projections under CC. To this end, a conceptual HBV-light model of the Kolubara River catchment in Serbia is calibrated against flows observed within 5 consecutive wettest, driest, warmest and coldest years and in the complete record period. The optimised parameters reveal high sensitivity towards calibration period. Hydrologic projections under climate change are developed by employing (1) five hydrologic models with outputs of one GCM-RCM chain (Global and Regional Climate Models) and (2) one hydrologic model with five GCM-RCM outputs. Sign and magnitude of change in projected variables, compared to the corresponding values simulated over the baseline period, vary with the hydrologic model used. This variability is comparable in magnitude to variability stemming from climate models. Models calibrated over periods with similar precipitation as the projected ones may result in less uncertain projections, while warmer climate is not expected to contribute to the uncertainty in flow projections. Simulations over prolonged dry periods are expected to be uncertain.
引用
收藏
页码:16 / 28
页数:13
相关论文
共 56 条
  • [1] Sensitivity and uncertainty analysis of the conceptual HBV rainfall-runoff model: Implications for parameter estimation
    Abebe, Nibret A.
    Ogden, Fred L.
    Pradhan, Nawa R.
    [J]. JOURNAL OF HYDROLOGY, 2010, 389 (3-4) : 301 - 310
  • [2] Hydrologic uncertainties in climate change from IPCC AR4 GCM simulations of the Chungju Basin, Korea
    Bae, Deg-Hyo
    Jung, Il-Won
    Lettenmaier, Dennis P.
    [J]. JOURNAL OF HYDROLOGY, 2011, 401 (1-2) : 90 - 105
  • [3] The role of hydrological modelling uncertainties in climate change impact assessments of Irish river catchments
    Bastola, Satish
    Murphy, Conor
    Sweeney, John
    [J]. ADVANCES IN WATER RESOURCES, 2011, 34 (05) : 562 - 576
  • [4] SPILLWAY DESIGN FLOODS IN SWEDEN .1. NEW GUIDELINES
    BERGSTROM, S
    HARLIN, J
    LINDSTROM, G
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1992, 37 (05): : 505 - 519
  • [5] Bergstrom S., 1973, NORD HYDROL, V4, P147, DOI DOI 10.2166/NH.1973.0012
  • [6] Bergstrom S., 1976, 7 RHO SMHI
  • [7] THE FUTURE OF DISTRIBUTED MODELS - MODEL CALIBRATION AND UNCERTAINTY PREDICTION
    BEVEN, K
    BINLEY, A
    [J]. HYDROLOGICAL PROCESSES, 1992, 6 (03) : 279 - 298
  • [8] Beven K.J., 2001, Rainfall-runoff Modelling, The Primer, P360
  • [9] Climate change impacts-throwing the dice?
    Bloeschl, Guenter
    Montanari, Alberto
    [J]. HYDROLOGICAL PROCESSES, 2010, 24 (03) : 374 - 381
  • [10] Hydrological model parameter instability: A source of additional uncertainty in estimating the hydrological impacts of climate change?
    Brigode, Pierre
    Oudin, Ludovic
    Perrin, Charles
    [J]. JOURNAL OF HYDROLOGY, 2013, 476 : 410 - 425