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A multiple threshold method for fitting the generalized Pareto distribution to rainfall time series
generalized Pareto distribution rainfall time series
2010/12/22
Previous studies indicate the generalized Pareto distribution (GPD) as a suitable distribution function to reliably describe the exceedances of daily rainfall records above a proper optimum threshold,...
Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks
high waters Venice Lagoon chaotic time series analysis nonlinear neural networks
2009/12/7
Time series analysis using nonlinear dynamics systems theory and multilayer neural networks models have been applied to the time sequence of water level data recorded every hour at 'Punta della Salute...
Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
Comparative application artificial neural networks genetic algorithms time-series modelling
2009/12/4
The paper compares potentials and achievements of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms in Lake Kasumigaura (Japan). Despite the c...
Efficient implementation of inverse approach for forecasting hydrological time series using micro GA
Efficient implementation inverse approach hydrological time series micro GA
2009/12/4
This paper implements the inverse approach for forecasting hydrological time series in an efficient way using a micro-GA (mGA) search engine. The inverse approach is based on chaos theory and it invol...
Limits and characteristics of the multifractal behaviour of a high-resolution rainfall time series
multifractal behaviour high-resolution rainfall time series
2009/11/16
The multifractal properties of a 2-year time series of 8-min rainfall intensity observations are investigated. The empirical probability distribution function suggests a hyperbolic intermittency with ...
Detection and predictive modeling of chaos in finite hydrological time series
Detection and predictive modeling chaos finite hydrological time series
2009/11/9
The ability to detect the chaotic signal from a finite time series observation of hydrologic systems is addressed in this paper. The presence of random and seasonal components in hydrological time ser...
GROUNDWATER TIME SERIES
GROUNDWATER TIME SERIES
2009/10/30
The term "stochastic hydrology" implies a statistical approach to hydrologic
problems as opposed to classic hydrology which can be considered deterministic
in its approach. During the International ...
STOCHASTICITY IN GEOPHYSICAL AND HYDROLOGICAL TIME SERIES
STOCHASTICITY GEOPHYSICAL AND HYDROLOGICAL TIME SERIES
2009/10/29
Most time processes within the atmosphere and oceans, and along the
water cycle are periodic-stochastic processes, with the physical basis of
the periodicity derived from astronomic cycles and the s...
Order Selection of AR Models of Hydrologic Time Series
Order Selection AR Models Hydrologic Time Series
2009/10/28
Recently several criteria have been proposed for selection of orders of AR
models. One of these. namely the AIC has been used in hydrologic analysis.
However, the results given by these criteria whe...
Analysing Hydrometeorological Time Series for Evidence of Climatic Change
Hydrometeorological Time Series Evidence of Climatic Change
2009/10/26
Considerable scientific attention has been focused on a measured increase in
atmospheric C02 and a suspected corresponding change in climate. Such a
change in climate, if it occurred, might be expec...
Trends and Characteristics of Hydrological Time Series in Finland
Trends Characteristics Hydrological Time Series Finland
2009/10/22
Hydrological time series analyses made in Finland up to 2001 show the following:
1) Precipitation has been increasing in southern and central Finland, and
also in the north in winter, during the per...
Improving Runoff Simulations using Satellite-observed Time-series of Snow Covered Area
Runoff Simulations Satellite-observed Time-series Snow Covered Area
2009/10/22
Snowmelt can be a significant contributor to major floods, and hence updated snow information is very important to flood forecasting services. This study assesses whether operational runoff simulation...
Scale invariance of daily runoff time series in agricultural watersheds
Scale invariance daily runoff time series agricultural watersheds
2009/5/13
Fractal scaling behavior of long-term records of daily runoff time series in 31 sub-watersheds covering a wide range of size were examined using the shifted box-counting method and Hurst rescaled rang...
Unsupervised classification of saturated areas using a time series of remotely sensed images
hydrologically active areas Normalized Difference Water Index
2009/5/13
The spatial distribution of saturated areas is an important consideration in numerous applications, such as water resource planning or siting of management practices. However, in humid well vegetated ...
Estimation of vegetation cover resilience from satellite time series
vegetation cover satellite time series
2009/5/4
Resilience is a fundamental concept for understanding vegetation as a dynamic component of the climate system. It expresses the ability of ecosystems to tolerate disturbances and to recover their init...