Prediction of Velocities for a Range of Streamflow Conditions in Pennsylvania PDF Download
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Author: Lloyd A. Reed
Publisher:
ISBN:
Category : Flood control
Languages : en
Pages : 28
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Book Description
Author: Lloyd A. Reed
Publisher:
ISBN:
Category : Flood control
Languages : en
Pages : 28
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Book Description
Author:
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 516
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Book Description
Author: Georgos C. Christodoulou
Publisher: CRC Press
ISBN: 1482241838
Category : Technology & Engineering
Languages : en
Pages : 649
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Book Description
Over the last two decades environmental hydraulics as an academic discipline has expanded considerably, caused by growing concerns over water environmental issues associated with pollution and water balance problems on regional and global scale. These issues require a thorough understanding of processes related to environmental flows and transport phenomena, and the development of new approaches for practical solutions. Environmental Hydraulics includes about 200 contributions from 35 countries presented at the 6th International Symposium on Environmental Hydraulics (Athens, Greece, 23-25 June 2010). They cover the state-of-the-art on a broad range of topics, including: fundamentals aspects of environmental fluid mechanics; environmental hydraulics problems of inland, coastal and ground waters; interfacial processes; computational, experimental and field measurement techniques; ecological aspects, and effects of global climate change. Environmental Hydraulics will be of interest to researchers, civil/environmental engineers, and professional engineers dealing with the design and operation of environmental hydraulic works such as wastewater treatment and disposal, river and marine constructions, and to academics and graduate students in related fields.
Author: George C. Christodoulou
Publisher: CRC Press
ISBN: 0203841239
Category : Technology & Engineering
Languages : en
Pages : 1288
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Book Description
Over the last two decades environmental hydraulics as an academic discipline has expanded considerably, caused by growing concerns over water environmental issues associated with pollution and water balance problems on regional and global scale. These issues require a thorough understanding of processes related to environmental flows and transport
Author: Marla H. Stuckey
Publisher:
ISBN:
Category : Flood control
Languages : en
Pages : 56
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Author: Geological Survey (U.S.)
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 76
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Author:
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 76
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Author: Geological Survey (U.S.)
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 470
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Author: Richard M. Greening
Publisher:
ISBN:
Category : Hydrological forecasting
Languages : en
Pages : 206
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Author: Ridwan Siddique
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Short- to medium-range (forecast lead times from 0 to 14 days) streamflow forecasts are subject to uncertainties from various sources. A major source of uncertainty is due to the weather or meteorological forcing. In turn, the uncertainties from the meteorological forcing are propagated into the streamflow forecasts when using the meteorological forecasts (i.e., the outputs from a Numerical Weather Prediction (NWP) model) as forcing to hydrological models. Additionally, the hydrological models themselves are another important source of uncertainty, where uncertainty arises from model structure, parameters, initial and boundary conditions. To advance the science of hydrological modeling and forecasting, these uncertainties need to be quantified and modeled, using novel statistical techniques and robust verification strategies, with the goal of improving the skill and reliability of streamflow forecasts. This, ultimately, may allow generating in advance (i.e., with longer lead times) more informative forecasts, which could eventually translate into better emergency preparedness and response.The main research goal of this dissertation is to develop, implement and verify a new regional hydrological ensemble prediction system (RHEPS), comprised by a numerical weather prediction (NWP) model, different hydrological models and different statistical bias-correction techniques. To implement and verify the new RHEPS, the U.S. middle Atlantic region (MAR) is selected as the study area. This is a region of high socio-economic value with populated cities and, at the same time, vulnerable to floods and other natural disasters. To meet my research goal, the following objectives are carried out: Objective 1 (O1) - To choose a relevant NWP model or system by evaluating and verifying the outputs from different meteorological forecasting systems (i.e., the outputs or forecasts from their underlying NWP models); Objective 2 (O2) - To verify streamflow forecasts generated by forcing a distributed hydrological model with meteorological ensembles, and to develop and evaluate a statistical postprocessor to quantify the uncertainty and adjust biases in the streamflow forecasts; Objective 3 (O3) - To develop, implement and rigorously verify a multimodel approach for short- to medium-range streamflow forecasting. The overarching hypothesis of this dissertation is that the combination and configuration of the different system components in the streamflow forecasting system can have a significant influence on forecast uncertainty and that hydrological multimodeling is able to significantly enhance the quality of streamflow forecasts. The RHEPS is used to test this hypothesis.To meet O1, precipitation ensemble forecasts from two different NWP models are verified. The two NWP models are the National Centers for Environmental Prediction (NCEP) 11-member Global Ensemble Forecast System Reforecast version 2 (GEFSRv2) and the 21-member Short Range Ensemble Forecast (SREF) system. The verification results for O1 reveal the quality of the meteorological forcing and serve to inform the decision of selecting a NWP model for O2. As part of O2, the meteorological outputs from the GEFSRv2 are used to force the NOAAs Hydrology Laboratory-Research Distributed Hydrological Model (HL-RDHM) and generate short- to medium-range (1-7 days) ensemble streamflow forecasts for different basins in the MAR. The streamflow forecasts are postprocessed (bias-corrected) using a time series model. The verification results from O2 show that the ensemble streamflow forecasts remain skillful for the entire forecast cycle of 7 days. Additionally, postprocessing increases forecast skills across lead times and spatial scales, particularly for the high flow conditions. Lastly, with O3, a multimodel hydrological framework is tested for medium-range ensemble streamflow forecasts. The results show that the multimodel consistently improves short- to medium-range streamflow forecasts across different basin sizes compared to the single model forecasts.
