river discharge Articles
-
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 ...
-
Comparison of West Balkan adult trout habitat predictions using a Pseudo-2D and a 2D hydrodynamic model
Hydraulic-habitat models combine the dynamic behavior of river discharge with geomorphological and ecological responses. In this study, they are used for estimating environmental flow requirements. We applied a Pseudo-two-dimensional (2D) model based on the one-dimensional (1D) HEC-RAS model and an in-house 2D (FLOW-R2D) hydrodynamic model to a section of river for several flows in respect of ...
-
Analysis and numerical simulation of natural and human-caused low dissolved oxygen in the Minjiang River Estuary
The Minjiang River, a typical tidal channel in Southeast China, plays an important role in the supply of drinking water, flood control and drought relief, farming and navigation, as well as shipping and other functions. Dissolved oxygen (DO), as a basic living condition for aquatic biota, has been deteriorating in the Minjiang River in recent years. In order to understand how the spatial ...
-
River discharge in the Kone River basin (Central Vietnam) under climate change by applying the BTOPMC distributed hydrological model
The impact of climate change on local discharge variability is investigated in the Kone River basin located in Central Vietnam. In this study, historical and predicted river discharge trends are discussed. The predicted discharge is simulated using the BTOPMC model based on the A1B scenario as a scientific basis for socioeconomic development and integrated water resource management in the Kone ...
-
Modeling river discharge rates in California watersheds
River discharge rates across all California's watershed have been modeled using the NASA version of the Carnegie-Ames-Stanford Approach (CASA) ecosystem model coupled with a surface hydrologic routing scheme previously called the Hydrological Routing Algorithm (HYDRA). To assess CASA-HYDRA's capability to estimate actual water flows in extreme and non-extreme precipitation years, we have ...
-
Modeling river stage–discharge–sediment rating relation using support vector regression
A variety of data-driven approaches have been developed in the recent past to capture the properties of hydrological data for improved modeling. These include artificial neural networks (ANNs), fuzzy logic and evolutionary algorithms, amongst others. Of late, kernel-based machine learning approaches have become popular due to their inherent advantages over traditional modeling techniques. In ...
-
Modeling groundwater upwelling as a control on river ice thickness
The Tanana River flows through interior Alaska, a region characterized by discontinuous permafrost. Studies link degrading permafrost to increased winter river discharge due to greater groundwater (GW) recharge increasing GW input to river baseflow. In winter, interior Alaskan rivers are exclusively fed by GW, which provides an external source of heat. In fact, some portions of rivers fed by GW ...
-
A hydraulic study on the applicability of flood rating curves
Several hydrological studies have shown that river discharge records are affected by significant uncertainty. This uncertainty is expected to be very high for river flow data referred to flood events, when the stage–discharge rating curve is extrapolated far beyond the measurement range. This study examines the standard methodologies for the construction and extrapolation of rating curves to ...
-
Discharge sensitivity to snowmelt parameterization: a case study for Upper Beas basin in Himachal Pradesh, India
Snow- and glacier melt are important contributors to river discharge in high-elevated areas of the Himalayan region. Thus, it is important that the key processes controlling snow and glacier accumulation and melting, are well represented in hydrological models. In this study, the sensitivity of modelled discharge to different snowmelt parameterizations was evaluated. A distributed ...
-
Estimating the index flood with continuous hydrological models: an application in Great Britain
Estimating peak river discharge, a critical issue in engineering hydrology, is essential for designing and managing hydraulic infrastructure such as dams and bridges. In the UK, practitioners typically apply the Flood Estimation Handbook (FEH) statistical method which estimates the design flood as the product of a relatively frequent flow estimate (the index flood, IF) and a regional growth ...
-
The future of European floodplain wetlands under a changing climate
In the future, climate change may severely alter flood patterns over large regional scales. Consequently, besides other anthropogenic factors, climate change represents a potential threat to river ecosystems. The aim of this study is to evaluate the effect of climate change on floodplain inundation for important floodplain wetlands in Europe and to place these results in an ecological context. ...
-
Modeling the impact of land use changes on river flows in Arror watershed, Elgeyo Marakwet County, Kenya
Water scarcity has become a serious global problem. Therefore, there is an urgent need to understand land use changes in watershed areas and their impact on river flows. This study models the impact of land use changes on river flows in the Arror watershed in Elgeyo Marakwet County, Kenya. The primary study sources included remotely sensed and socio-economic data. Landsat 5 thematic mappers ...
-
Aqueduct Metadata Document: Orange-Senqu 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 fully in the Aqueduct ...
-
Groundwater discharge downstream of an arid inland river in Northwestern China
Nalenggele River is an inland river located in the arid, fragile ecological environment area in Northwestern China. Groundwater discharge to the river can significantly impact the ecologic environment in the Nalenggele River basin, but few hydrogeological studies have been conducted in the inland arid basin. In this paper, two sections were chosen to analyze the groundwater discharge in the ...
-
Semi-analytical 3D solution for assessing radial collector well pumping impacts on groundwater–surface water interaction
We present a new semi-analytical flow and transport model for the simulation of 3D steady-state flow and particle movement between groundwater, a surface water body and a radial collector well in geometrically complex unconfined aquifers. This precise and grid-free Series Solution-analytic element method approach handles the irregular configurations of radial wells more efficiently than ...
-
Evaluation of the applicability of the SWAT model in an arid piedmont plain oasis
Hetao Oasis is located in a typical piedmont alluvial plain bounded by the Langshan Mountain Range in the north, desert in the west, and the Yellow River in the south. Agricultural activities within the oasis significantly impact the hydrological cycle and water quality in downstream locations. The research uses the Soil and Water Assessment Tool (SWAT) for a piedmont plain by defining the ...
-
Neural network river forecasting with multi-objective fully informed particle swarm optimization
In this work, we suggest that the poorer results obtained with particle swarm optimization (PSO) in some previous studies should be attributed to the cross-validation scheme commonly employed to improve generalization of PSO-trained neural network river forecasting (NNRF) models. Cross-validation entails splitting the training dataset into two, and accepting particle position updates only if ...
-
Dynamic coupling of near field and far field models for simulating effluent discharges
In many cases, (processed) wastewater or thermal effluents are discharged into the marine environment, rivers or lakes. To accurately determine the dispersion, recirculation and environmental impacts of outfall plumes, it is important to be able to model the different characteristics of the outfall plume in detail – from the near field (metres around the outfall) to the far field (up to ...
-
Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China
Modeling of hydrological time series is essential for sustainable development and management of lake water resources. This study aims to develop an efficient model for forecasting lake water level variations, exemplified by the Poyang Lake (China) case study. A random forests (RF) model was first applied and compared with artificial neural networks, support vector regression, and a linear ...
-
Studying of flow model and bed load transport in a coarse bed river: case study – Aland River, Iran
This paper describes a mathematical model which solves the 1D unsteady flow over a mobile bed. The model is based on the Richtmyer second-order explicit scheme. Comparison of the model results with the experimental flume data for alluvial steady flow (aggradation due to overloading) and unsteady flow shows that, by using the two-step method of Richtmyer, one can solve the equations, governing the ...
Need help finding the right suppliers? Try XPRT Sourcing. Let the XPRTs do the work for you