Hydrological Parameter Articles & Analysis
34 articles found
To monitor water discharge on a small stream, Geolux has installed HydroStation - highly integrated hydrological monitoring station that consists of radar-based water level sensor, surface velocity radar, Lithium battery pack, solar panel, Geolux HydroCam camera and GPRS datalogger. ...
Starting around the 1960s, soil moisture under the snow pack became recognized as a potential input parameter for watershed hydrology models which could improve the water supply forecasts for hydropower management and all the other demands on water resources, including agriculture. ...
The shuffled complex evolution optimization developed at the University of Arizona (SCE-UA) has been successfully applied in various kinds of scientific and engineering optimization applications, such as hydrological model parameter calibration, for many years. The algorithm possesses good global optimality, convergence stability and robustness. ...
Parameter estimation for rainfall-runoff models in ungauged basins is a key aspect for a wide range of applications where streamflow predictions from a hydrological model can be used. The need for more reliable estimation of flow in data scarcity conditions is, in fact, thoroughly related to the necessity of reducing uncertainty associated with ...
Parameter uncertainty in hydrologic modeling is commonly evaluated, but assessing the impact of spatial input data uncertainty in spatially descriptive ‘distributed’ models is not common. This study compares the significance of uncertainty in spatial input data and model parameters on the output uncertainty of a distributed ...
Sobol’ sensitivity analysis has been used successfully in the past to reduce the parametric dimensionality for hydrological models. However, the effects of its limitation, in that it assumes an independence of parameters, need to be investigated. This study proposes an experimental approach to assess the commonly used Sobol’ analysis for reducing the ...
In addition to IRRs calculations, IManSys calculates runoff, deep percolation, canopy interception, and effective rainfall based on plant growth parameters, site specific soil hydrological properties, irrigation system efficiency, and long-term daily weather data. ...
This study presents a quantitative assessment of urbanization effects on hydrological runoff and drainage network in the city of Hohhot, China. The evolution of urban spatial morphology for the historical years (1987–2010) and projected year (2020) is described by changes in geographic information system (GIS)-based land use maps and further represented in ...
In rainfall–runoff modeling, Design Event Approach is widely adopted in practice, which assumes that the rainfall depth of a given annual exceedance probability (AEP), can be converted to a flood peak of the same AEP by assuming a representative fixed value for the other model inputs/parameters such as temporal pattern, losses and storage-delay parameter of the runoff routing model. This ...
Four representative concentration pathways (RCPs), three global climate models (GCMs), 10 downscaling parameter sets and three hydrologic models are applied to simulate future discharges. ...
Reference evapotranspiration is a key parameter in hydrological and meteorological studies and used to determine the actual water use rate for various crops. ...
Throughout a time period of two years (2010 to 2011) continuous on-line GLUC data were successfully generated and analysed together with concurrently recorded physicochemical, hydrological and microbiological parameters from two hydro-geological contrasting water ...
TFSM can handle fuzzy sets with uncertain membership function related to hydrological modeling parameters and reveal the effects of such uncertain parameters on the hydrological processes. ...
Although models are one of the most powerful tools for watershed management, their effectiveness is limited by prediction uncertainties resulting from not only model input data but also spatial discretization. In this paper, Hydrological Simulation Program – Fortran (HSPF) models were constructed for the Linyi watershed according to three segmentation approaches ...
Typically, these models require a significant amount of hydrological parameters and the sensitivities of these parameters on interaction mechanisms need to be clarified. ...
Reducing uncertainty of hydrological modeling and forecasting has both theoretical and practical importance in hydrological sciences and water resources management. This study focuses on reducing parameter uncertainty by multi-sites validating for the conceptual Xinanjiang model. ...
Monte Carlo simulation-based uncertainty analysis techniques have been applied successfully in hydrology for quantification of the model output uncertainty. They are flexible, conceptually simple and straightforward, but provide only average measures of uncertainty based on past data. ...
Parameter calibration is a key and difficult issue for a hydrological model. Taking the Jinjiang Xixi watershed of south-east China as the study area, we proposed methods to improve the calibration of two very sensitive parameters, Muskingum K and initial loss, in the Hydrologic Engineering Center hydrologic ...
In this study, it has been decided to use relevant hydrological parameters for an effective artificial recharge experiment using defunct dug–wells. A small watershed in a granitic terrene heavily exploited for irrigation, has been hydrologically investigated, monitored and characterised for flow parameters. ...
The Xinanjiang model, a conceptual rainfall-runoff (CRR) model with distributed parameters, has been successfully and widely applied to flood forecasting of large basins in humid and semi-humid regions of China. With an increasing demand for timely and accurate forecasts in hydrology, how to obtain more appropriate parameters for CRR models has ...