hydrological time-series
Pattern Discovery in Hydrological Time Series Data Mining during the Monsoon Period of the High Flood Years in Brahmaputra River Basin
... in hydrological and hydro-meteorological management and observing water level, rainfall, discharge, sediment, evaporation, temperature and water quality ...collected time series data in scientific as ...
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Investigation of hydrological time series using copulas for detecting catchment characteristics and anthropogenic impacts
... analyze hydrological time series data by focusing on the dependence structure, but further exploratory applications and theoretical developments are ...analyze time series and build up ...
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Homogenization and analysis of hydrological time series
... different time steps and give also the possibility to investigate the different correlation between two variables in the time frequency ...reliable time series, which is rare in case of ...
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Detection and predictive modeling of chaos in finite hydrological time series
... logic series, is dominant enough to be identifiable through the periodogram ...a series which is a mixture of chaotic signal, seasonality, and white ...Lorenz series used for the ...chaotic ...
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Data compression to define information content of hydrological time series
... a hydrological model can use but is considered as a truth not inferred from the current data set, and hence should not be considered part of the complexity of the explanation of those ...
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Determining the Chaotic Dynamics of Hydrological Data in Flood Prone Area
... with hydrological time series data such as rainfall, water level and river ...The hydrological data is uncertain, which is difficult to predict because the data involved is located in the area ...
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Modelling the effects of forest regeneration on streamflow using forest growth models
... Although section 4.4 outlines that the forest inventory for the North Maroondah study sites is highly developed and adequate for forest growth modelling, it is evident that the hydrological time ...
290
Real Time Prediction System of Discharge of the Rivers using Clustering Technique of Data Mining
... The Time Series Data Mining (TSDM) methodology follows the time delayed embedding process to predict future occurrences of important ...nonstationary time series. Time ...
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Annual runoff prediction using a nearest-neighbour method based on cosine angle distance for similarity estimation
... The Nearest-Neighbour Method (NNM) is data driven and non-parametric, with potential priority, and needs no assumption about the form of the dependence and probability distribution, or estimation of many parameters. ...
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Using an integrated hydrological model to estimate the usefulness of meteorological drought indices in a changing climate
... predict hydrological impacts of droughts under changing climatic conditions at the annual ...the hydrological responses of a small catchment in northern Spain to droughts in present and future climate, us- ...
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Hybrid of ARIMA-GARCH modeling in rainfall time series
... of hydrological time series, the focus was on modeling and predicting the mean behavior of the time series through conventional methods of an Autoregressive Moving Average (ARMA) ...
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Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
... gravity time series at AGGO. The hydrological data set in- cludes soil moisture and groundwater ...logical time series comprise air temperature, humidity, pres- sure, wind speed, solar ...
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The integrated water balance and soil data set of the Rollesbroich hydrological observatory
... key hydrological fluxes in addition to important hydrological states and ...and hydrological models, to improve the understand- ing of spatial temporal dynamics of soil water content, to optimize ...
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Surface water monitoring in small water bodies: potential and limits of multi sensor Landsat time series
... over time (15 years) in order to give importance to both the number and quality of the Landsat observations over time, and therefore compromise between maintaining high temporal resolution and minimizing ...
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Quantifying human impacts on hydrological drought using a combined modelling approach in a tropical river basin in central Vietnam
... assessment, time series for either the pristine or human-impacted period are usually too short to be used for ...first time, an integrated mod- elling framework was applied to a data-scarce tropical ...
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Variabilities in Johor river discharge
... Santos C.A.G and Ideiao S.M.A. (2006). Application of the Wavelet transform for analysis of precipitation and runoff time series. Prediction in Ungauged Basin : Promise and Progress (Proceedings of ...
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A brief history of long memory : Hurst, Mandelbrot and the road to ARFIMA, 1951–1980
... Rather than draw our own conclusions, we intended to illuminate the story of this fascinating area of science, and in particular the role played by Benoit Mandelbrot, who died in 2010. The facet of Mandelbrot’s genius on ...
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Sediment transport modelling in a distributed physically based hydrological catchment model
... by hydrological response, like soil slips and sediment transport in ...accounting hydrological models were de- veloped, which consider sediment transfer processes at the catchment scale, within the ...
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Towards understanding the dynamic behaviour of floodplains as human water systems
... To address the inter-related, complex, and dynamic socio- hydrological challenges in floodplains, we propose a trans- disciplinary approach. This will enable an understanding of how social relations influence ...
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Time Series Analysis: A Hydrological Prospective
... rules, Time Series Analysis (TSA) - calculates summary statistics of time series data, including hydrological metrics, and Time Series Manager - manipulates and manages ...
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