Time Series Analysis of Hydrologic Data

Kisiel, Chester C.

doi:10.1016/b978-1-4831-9936-8.50007-6

Cited by 45 publications

(17 citation statements)

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“…Kisiel (1969) described a basin as a system that filters the highfrequency components of the input by smoothing out the amplitude of the rainfall. Padilla and Pulido-Bosch (1995), Angelini (1997), Larocque et al (1998), andLabat et al (2000a,b) used signal analysis techniques to describe the filtering aspects of karst aquifers.…”

Section: Measures Of Basin Dampeningmentioning

confidence: 99%

Runoff response to spatial variability in precipitation: an analysis of observed data

Smith

Koren

Zhang

et al. 2004

Journal of Hydrology

174

116

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Section: Measures Of Basin Dampeningmentioning

confidence: 99%

Runoff response to spatial variability in precipitation: an analysis of observed data

Smith

Koren

Zhang

et al. 2004

Journal of Hydrology

174

116

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“…If these discharge values are plotted, as in Figure 1b, a time series emerges that can be analyzed using the standard methods of timeseries analysis (Kisiel, 1969;Box and Jenkins, 1976). If, instead of the mean annual discharges, the mean monthly discharges were abstracted, a time series like that shown in Figure 1c, with a notable seasonal trend, would result.…”

Section: Time-series Analysis Of Streamflow Sequencesmentioning

confidence: 99%

Hydrogeological Concepts in Stochastic and Deterministic Rainfall–Runoff Predictions

Freeze

1982

Geological Society of America Special Papers

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Two trends are evident in the recent developments in engineering hydrology, one toward integrating surface-water and ground-water concepts, and the other toward integrating stochastic and deterministic techniques. This paper provides a review of these trends with the specific aim of clarifying the role of ground water in the current methodology. Among the interrelationships discussed are (1) the linear-reservoir representation of the instantaneous unit hydrograph and the concepts of ground-water storage; (2) the existence of autocorrelated streamflow sequences and their dependence on baseflow recessions; (3) the conceptual prediction of flood exceedance probabilities and the mechanisms of streamflow generation; and (4) the nature of timespace tradeoffs in assessing the worth of data for rainfall-runoff models.The process of streamflow generation is controlled in large part by the near-surface saturated-unsaturated hydrogeological regimes that exist on the hillslopes within a watershed. Much remains to be done before the lumped calibration parameters that arise in time-series analysis, frequency analysis, and unit-hydrograph analysis of streamflows can be interpreted in terms of the spatially distributed, physically based parameters that control the runoff-generating processes on hillslopes.

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“…Zadeh (1962) defines the problem as "Identification is the determination, on the basis of input and output of a system within a class of systems (models), to which the system under test is equivalent (in some sense For large scale hydrologic systems it is not often possible to specify the a priori structure or functional form of the model (Kisiel, 1969). Structural information may be none, partial or complete.…”

Section: Identification Problems In Hydrologymentioning

confidence: 99%