AIMC Topic: Rivers

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Modelling the effects of meteorological parameters on water temperature using artificial neural networks.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2018
Water temperature affects all biological and chemical processes in water; therefore, it is an extremely important water quality parameter. Meteorological factors are among the most important factors that affect water temperatures. The aim of this stu...
Temperature Water Neural Networks, Computer Algorithms Turkey Water Quality Rivers Models, Theoretical Weather
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Prediction of biochemical oxygen demand at the upstream catchment of a reservoir using adaptive neuro fuzzy inference system.

Water science and technology : a journal of the International Association on Water Pollution Research Oct 1, 2017
The aim of this study is to examine the potential of adaptive neuro fuzzy inference system (ANFIS) to estimate biochemical oxygen demand (BOD). To illustrate the applicability of ANFIS method, the upstream catchment of Feitsui Reservoir in Taiwan is ...
Neural Networks, Computer Fuzzy Logic Oxygen Biofilms Taiwan Water Quality Linear Models Models, Theoretical Rivers Water Supply
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River flood prediction using fuzzy neural networks: an investigation on automated network architecture.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2017
Urban floods are one of the most devastating natural disasters globally and improved flood prediction is essential for better flood management. Today, high-resolution real-time datasets for flood-related variables are widely available. These data can...
Models, Theoretical Fuzzy Logic Algorithms Canada Floods Uncertainty Rivers Disasters Neural Networks, Computer
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Water quality of Danube Delta systems: ecological status and prediction using machine-learning algorithms.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Environmental issues have a worldwide impact on water bodies, including the Danube Delta, the largest European wetland. The Water Framework Directive (2000/60/EC) implementation operates toward solving environmental issues from European and national ...
Ecosystem Water Water Pollutants, Chemical Water Pollution Environmental Monitoring Algorithms Animals Artificial Intelligence Invertebrates Water Quality Rivers
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Hybrid wavelet-support vector machine approach for modelling rainfall-runoff process.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Because of the importance of water resources management, the need for accurate modeling of the rainfall-runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfa...
Hydrology Water Resources Models, Theoretical Support Vector Machine Neural Networks, Computer Rain Rivers Water Movements
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Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Transit data analysis and artificial neural networks (ANNs) have proven to be a useful tool for characterizing and modelling non-linear hydrological processes. In this paper, these methods have been used to characterize and to predict the discharge o...
Water Pollutants, Chemical Rivers Hydrology Spain Neural Networks, Computer Models, Theoretical
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Artificial neural network modeling of the water quality index using land use areas as predictors.

Water environment research : a research publication of the Water Environment Federation Feb 1, 2015
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...
Forestry Models, Theoretical Environmental Monitoring Rivers Neural Networks, Computer Prognosis Malaysia Agriculture Conservation of Natural Resources Water Quality City Planning
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[Monitoring of the Moskva River Water Using Microbiological Parameters and Chlorophyll a Fluorescence].

Mikrobiologiia Jan 1, 2015
The results of investigations of three Moskva River sites with different degree of pollution using a complex of microbiological characteristics and the parameters of chlorophyll a fluorescence are presented. We determined that the bacterioplankton se...
Russia Chlorophyll Chlorophyll A Rivers Environmental Monitoring Water Microbiology Spectrometry, Fluorescence
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