Estimation of missing streamflow data using principles of chaos theory
- 28 November 2001
- journal article
- Published by Elsevier in Journal of Hydrology
- Vol. 255 (1-4), 123-133
- https://doi.org/10.1016/s0022-1694(01)00513-3
Abstract
No abstract availableKeywords
This publication has 33 references indexed in Scilit:
- Noise reduction and prediction of hydrometeorological time series: dynamical systems approach vs. stochastic approachJournal of Hydrology, 2000
- Chaos theory in hydrology: important issues and interpretationsJournal of Hydrology, 2000
- A systematic approach to noise reduction in chaotic hydrological time seriesJournal of Hydrology, 1999
- EVIDENCE OF CHAOTIC BEHAVIOR IN SINGAPORE RAINFALL1Jawra Journal of the American Water Resources Association, 1998
- Improving single-variable and multivariable techniques for estimating missing hydrological dataJournal of Hydrology, 1997
- Daily flow time series patching or extension: a spatial interpolation approach based on flow duration curvesHydrological Sciences Journal, 1996
- A Deterministic Geometric Representation of Temporal Rainfall: Results for a Storm in BostonWater Resources Research, 1996
- Nonlinear Dynamics of the Great Salt Lake: Nonparametric Short‐Term ForecastingWater Resources Research, 1996
- Nonlinear Dynamics of the Great Salt Lake: Dimension EstimationWater Resources Research, 1996
- Analysis and prediction of chaos in rainfall and stream flow time seriesJournal of Hydrology, 1994