river flow forecast Articles

  • Daily river flow forecasting using wavelet ANN hybrid models

    Advance time step stream flow forecasting is of paramount importance in controlling flood damage. During the past few decades, artificial neural network (ANN) techniques have been used extensively in stream flow forecasting and have proven to be a better technique than other forecasting methods such as multiple regression and general transfer function models. This study uses discrete wavelet ...


    By IWA Publishing

  • Simulation and forecasting of downstream flow top width in a river reach using upstream flows

    In the present study, a modified Muskingum model incorporating flow and flow top width variables for a river reach and a system of reaches has been developed. The model assumes power form relationship between water discharge and flow top width at a section. The model is used to simulate and forecast flow top width on the basis of upstream flow(s) in Barak basin in India. Flow top width ...


    By Inderscience Publishers

  • Why does modern aeration technology make the treasurer happy?

    The aerzen combined system provides optimum efficiencies at the wallau wastewater treatment plant The combination of different technologies for air conveying enablesoptimal energy use of oxygen for biological degradation processes in wastewater treatment plants. Concrete savings resulting from the use  of AERZEN machines demonstrate this in practice at the Wallau plant.  In 2016, ...


    By Aerzen USA Corporation

  • Wavelets-based non-linear model for real-time daily flow forecasting in Krishna River

    In this study, a multi-scale non-linear model based on coupling a discrete wavelet transform (DWT) and the second-order Volterra model, i.e. the wavelet Volterra coupled (WVC) model, is applied for daily inflow forecasting at Krishna Agraharam, Krishna River, India. The relative performance of the WVC model was compared with regular artificial neural networks (ANN), wavelet-artificial neural ...


    By IWA Publishing

  • Improving reliability of river flow forecasting using neural networks, wavelets and self-organising maps

    Neural network (NN) models have gained much attention for river flow forecasting because of their ability to map complex non-linearities. However, the selection of appropriate length of training datasets is crucial and the uncertainty in predictions of the trained NNs with new datasets is a crucial problem. In this study, self-organising maps (SOM) are used to classify the datasets homogeneously ...


    By IWA Publishing

  • Generation of 10-day flow of the Brahmaputra River using a time series model

    Time series models are used in hydrology for the generation of river flow data. The development of such a model, namely deseasonalized Autoregressive Moving Average (ARMA), for the generation of 10-day flows of the Brahmaputra River in Bangladesh is described. The model was fitted following systematic stages of identification, estimation and diagnostic checking of model building. A negative ...


    By IWA Publishing

  • Impact of climate change on future stream flow in the Dakbla river basin

    A systematic ensemble high-resolution climate modelling study over Vietnam was performed and future hydrological changes over the small catchment of Dakbla, Central Highland region of Vietnam, were studied. Using the widely used regional climate model WRF (Weather Research and Forecasting), future climate change over the period 2091–2100 was ascertained. The results indicate that surface ...


    By IWA Publishing

  • A novel hybrid neural network based on continuity equation and fuzzy pattern-recognition for downstream daily river discharge forecasting

    Forecasting of river discharge is crucial in hydrology and hydraulic engineering owing to its use in the design and management of water resource projects. The problem is customarily settled with data-driven models. In this research, a novel hybrid model which combines continuity equation and fuzzy pattern-recognition concept with artificial neural network (ANN), is presented for downstream river ...


    By IWA Publishing

  • Wastewater master plan - south of Missouri river

    Client: Kansas City, Mo.   Completion Date: 1999   Services Provided Collection system modeling Pumping station analysis Combined and sanitary sewer wet weather flow management Project Summary  Burns & McDonnell performed a master plan of wastewater facilities for Kansas City, ...


    By Burns & McDonnell

  • Aqueduct Metadata Document: Yangtze River Basin Study

    Prior to the creation of the global Aqueduct Water Risk Atlas, indicators (Table 1) were developed and tested in a number of river basins worldwide. The results of these Basin Studies helped inform and shape the global Aqueduct Water Risk Framework. Complete guidelines and processes for indicator selection, data collection, calculations, and mapping techniques are described in the Aqueduct Water ...

  • Aqueduct Metadata Document: Yellow River Basin Study

    Prior to the creation of the global Aqueduct Water Risk Atlas indicators (Table 1) were developed and tested in a number of river basins worldwide. The results of these Basin Studies helped inform and shape the global Aqueduct Water Risk Framework. Complete guidelines and processes for indicator selection, data collection, calculations, and mapping techniques are described in the Aqueduct Water ...

  • Modelling present and future Po river interactions with alluvial aquifers (Low Po River Plain, Italy)

    A modelling study on a multi-layered confined/unconfined alluvial aquifer system was performed to quantify surface water/groundwater interactions. The calibrated groundwater flow model was used to forecast climate change impacts by implementing the results of a downscaled A1B model ensemble for the Po river valley. The modelled area is located in the north-western portion of the Ferrara Province ...


    By IWA Publishing

  • Controlling the water level of a river dam case study

    SmartScan25 provides an efficient solution for controlling water level of the Wardha river reservoir from a distance of 40m (131ft) thus preventing draughts and floods to the district of Amravati, India. Upper Wardha Dam is build up on the Wardha River at a height of 36m (118ft) and 7km (4.35mi) length and situated on the boundary of Amravati and Wardha Districts, India. Controlling the water ...

  • Comparison of autoregressive moving average and state space methods for monthly time series modelling of Labrador and South-East Quebec river flows

    Time series data such as monthly stream flows can be modelled using time series methods and then used to simulate or forecast flows for short term planning. Two methods of time series modelling were reviewed and compared: the well-known auto regressive moving average (ARMA) method and the state-space time-series (SSTS) method. ARMA has been used in hydrology to model and simulate flows with ...


    By IWA Publishing

  • The estimation of mean monthly discharges of the Karasu River using the Thomas-Fiering method

    Hydrological forecasts are one of the most important aspects of applied hydrology. Such forecasts become increasingly necessary as the economy expands and utilisation of water resources in each country increases. Yet many of the requirements relating to hydrological forecasts cannot be fully satisfied at the present stage of the development of hydrology and meteorology. Hydrological forecasts are ...


    By Inderscience Publishers

  • Improved Water Supply Forecasts Using Soil Moisture Data

    HydraProbe used to improve water supply forecast from 3 SNOTEL sites in Idaho over traditional antecedent conditions using the principle component forecast model Much of the water in the Western United States used for irrigation, municipal supplies and hydro-electric production originates as winter snow pack at higher elevations. Since the early 1900s, the correlation between stream flow and the ...

  • A novel visual modeling system for time series forecast: application to the domain of hydrology

    Accurate and reliable forecasts of key hydrological variables such as stream flow are of importance due to their profound impacts on real world water resources applications. Data-driven methods have proven their applicability to modeling complex and non-linear hydrological processes. This paper presents a novel visual modeling system that has been developed to overcome the problems involved in ...


    By IWA Publishing

  • Estimating changes in river faecal coliform loading using nonparametric multiplicative regression

    Faecal coliform (FC) concentration was monitored weekly in the Tangipahoa River over an eight year period. Available USGS discharge and precipitation data were used to construct a nonparametric multiplicative regression (NPMR) model for both forecasting and backcasting of FC density. NPMR backcasting and forecasting of FC allowed for estimation of concentration for any flow regime. During this ...


    By IWA Publishing

  • How better weather forecasting can help stretch water supplies

    Reservoir managers look to storm predictions to make smarter choices about dam operations Last year, New York City faced an unusual situation. An epic winter in the city’s Delaware River watershed brought heavy snow and very little rain. Stubborn cold meant there was no snowmelt to refill water-supply reservoirs, even as the city’s 9.5 million residents were draining them dry. A ...


    By Ensia

  • InfoWorks RS aids priority river flood modeling in New Zealand

    Project Background Innovyze’s InfoWorks RS has been the key software in helping to formulate flood risk reduction strategies throughout the Northland Region of New Zealand, an area of approximately 14,000 km2 on the northern tip of New Zealand’s North Island. The Northland Region has a predominately tropical climate. In recent years a number of tropical storms have ...


    By Innovyze

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