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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,...
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...
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...
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...
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 ...
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 ...
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...
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...
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...
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...
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...
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...
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 ...
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...

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