TY - JOUR
T1 - Temporal scaling comparison of real hydrological data and model runoff records
AU - Livina, V.
AU - Kizner, Z.
AU - Braun, P.
AU - Molnar, T.
AU - Bunde, A.
AU - Havlin, S.
PY - 2007/3/30
Y1 - 2007/3/30
N2 - We show that the scaling properties of river runoff records represent a useful tool for evaluating precipitation-runoff models that are widely used in hydrology for assessment of the water balance in a given river catchment. In this respect, it is important that the model maps the processes that control the water balance. The main field of application is therefore water management in a given area over a long time scale (at least several years). Here, we compare the temporal scaling properties of the runoff of three Bavarian rivers (Naab, Regnitz, and Vils) with the corresponding ASGi model records. In the evaluation, we use: (i) detrended fluctuation analysis (DFA); (ii) multifractal analysis; (iii) periodic volatility analysis; and (iv) long-term volatility analysis. Our study generally shows close similarity between real and simulated data for the main statistical parameters (e.g., correlation and multifractal exponents). Therefore, the ASGi model output seems to adequately describe real basin processes and might be useful for hydrological purposes, such as a posteriori estimation of water balance in a river catchment.
AB - We show that the scaling properties of river runoff records represent a useful tool for evaluating precipitation-runoff models that are widely used in hydrology for assessment of the water balance in a given river catchment. In this respect, it is important that the model maps the processes that control the water balance. The main field of application is therefore water management in a given area over a long time scale (at least several years). Here, we compare the temporal scaling properties of the runoff of three Bavarian rivers (Naab, Regnitz, and Vils) with the corresponding ASGi model records. In the evaluation, we use: (i) detrended fluctuation analysis (DFA); (ii) multifractal analysis; (iii) periodic volatility analysis; and (iv) long-term volatility analysis. Our study generally shows close similarity between real and simulated data for the main statistical parameters (e.g., correlation and multifractal exponents). Therefore, the ASGi model output seems to adequately describe real basin processes and might be useful for hydrological purposes, such as a posteriori estimation of water balance in a river catchment.
KW - ASGi model
KW - Detrended fluctuation analysis
KW - Multifractality
KW - Nonlinear volatility
KW - Statistical evaluation of models
KW - Time series analysis
UR - http://www.scopus.com/inward/record.url?scp=33847683731&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2007.01.014
DO - 10.1016/j.jhydrol.2007.01.014
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AN - SCOPUS:33847683731
SN - 0022-1694
VL - 336
SP - 186
EP - 198
JO - Journal of Hydrology
JF - Journal of Hydrology
IS - 1-2
ER -