Hydrologic Modeling of the Tsitika River Watershed PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Hydrologic Modeling of the Tsitika River Watershed PDF full book. Access full book title Hydrologic Modeling of the Tsitika River Watershed by Martina Szabová. Download full books in PDF and EPUB format.
Author: Martina Szabová
Publisher:
ISBN:
Category : Runoff
Languages : en
Pages : 0
Get Book Here
Book Description
A lumped conceptual rainfall-runoff model based on the MIKE 11/NAM modeling code has been applied to the 372 km2 Tsitika River Watershed. The model was constructed on the basis of readily accessible data of precipitation, temperature, land cover and topography, and was calibrated against the river discharge at the watershed outlet. Several validation tests were carried out and model performance evaluated in terms of the water balance error and the agreement of general hydrograph shape. Sensitivity analysis was conducted to explore the variability of simulation response produced by uncertainty associated with parameter values. In general, the model captured the dynamics of river discharge moderately well with most problems arising during the simulations of the snowmelt season. The differences between observations and model output were attributed to the insufficient spatial coverage of meteorological input data, errors in model structure resulting from a simplified model set-up, and errors caused by inevitable simplifications of temporal and spatial characteristics of the hydrologic behaviour of a very complex natural system.
Author: Martina Szabová
Publisher:
ISBN:
Category : Runoff
Languages : en
Pages : 0
Get Book Here
Book Description
A lumped conceptual rainfall-runoff model based on the MIKE 11/NAM modeling code has been applied to the 372 km2 Tsitika River Watershed. The model was constructed on the basis of readily accessible data of precipitation, temperature, land cover and topography, and was calibrated against the river discharge at the watershed outlet. Several validation tests were carried out and model performance evaluated in terms of the water balance error and the agreement of general hydrograph shape. Sensitivity analysis was conducted to explore the variability of simulation response produced by uncertainty associated with parameter values. In general, the model captured the dynamics of river discharge moderately well with most problems arising during the simulations of the snowmelt season. The differences between observations and model output were attributed to the insufficient spatial coverage of meteorological input data, errors in model structure resulting from a simplified model set-up, and errors caused by inevitable simplifications of temporal and spatial characteristics of the hydrologic behaviour of a very complex natural system.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
A lumped conceptual rainfall-runoff model based on the MIKE 11/NAM modeling code has been applied to the 372 km2 Tsitika River Watershed. The model was constructed on the basis of readily accessible data of precipitation, temperature, land cover and topography, and was calibrated against the river discharge at the watershed outlet. Several validation tests were carried out and model performance evaluated in terms of the water balance error and the agreement of general hydrograph shape. Sensitivity analysis was conducted to explore the variability of simulation response produced by uncertainty associated with parameter values. In general, the model captured the dynamics of river discharge moderately well with most problems arising during the simulations of the snowmelt season. The differences between observations and model output were attributed to the insufficient spatial coverage of meteorological input data, errors in model structure resulting from a simplified model set-up, and errors caused by inevitable simplifications of temporal and spatial characteristics of the hydrologic behaviour of a very complex natural system.
Author: Martina Szabová
Publisher:
ISBN:
Category : Runoff
Languages : en
Pages : 204
Get Book Here
Book Description
A lumped conceptual rainfall-runoff model based on the MIKE 11/NAM modeling code has been applied to the 372 km2 Tsitika River Watershed. The model was constructed on the basis of readily accessible data of precipitation, temperature, land cover and topography, and was calibrated against the river discharge at the watershed outlet. Several validation tests were carried out and model performance evaluated in terms of the water balance error and the agreement of general hydrograph shape. Sensitivity analysis was conducted to explore the variability of simulation response produced by uncertainty associated with parameter values. In general, the model captured the dynamics of river discharge moderately well with most problems arising during the simulations of the snowmelt season. The differences between observations and model output were attributed to the insufficient spatial coverage of meteorological input data, errors in model structure resulting from a simplified model set-up, and errors caused by inevitable simplifications of temporal and spatial characteristics of the hydrologic behaviour of a very complex natural system.
Author: Qingyun Duan
Publisher: John Wiley & Sons
ISBN: 087590355X
Category : Science
Languages : en
Pages : 356
Get Book Here
Book Description
Published by the American Geophysical Union as part of the Water Science and Application Series, Volume 6. During the past four decades, computer-based mathematical models of watershed hydrology have been widely used for a variety of applications including hydrologic forecasting, hydrologic design, and water resources management. These models are based on general mathematical descriptions of the watershed processes that transform natural forcing (e.g., rainfall over the landscape) into response (e.g., runoff in the rivers). The user of a watershed hydrology model must specify the model parameters before the model is able to properly simulate the watershed behavior.
Author: Baxter E. Vieux
Publisher: Springer Science & Business Media
ISBN: 9401597103
Category : Science
Languages : en
Pages : 303
Get Book Here
Book Description
During ten years serving with the USDA Soil Conservation Service (SCS), now known as the Natural Resources Conservation Service (NRCS), I became amazed at how millions of dollars in contract monies were spent based on simplistic hydrologic models. As project engineer in western Kansas, I was responsible for building flood control dams (authorized under Public Law 566) in the Wet Walnut River watershed. This watershed is within the Arkansas-Red River basin, as is the Illinois River basin referred to extensively in this book. After building nearly 18 of these structures, I became Assistant State Engineer in Michigan and, for a short time, State Engineer for NRCS. Again, we based our entire design and construction program on simplified relationships variously referred to as the SCS method. I recall announcing that I was going to pursue a doctoral degree and develop a new hydrologic model. One of my agency's chief engineers remarked, "Oh no, not another model!" Since then, I hope that I have not built just another model but have significantly advanced the state of hydrologic modeling for both researchers and practitioners. Using distributed hydrologic techniques described in this book, I also hope one day to forecast the response of the dams I built.
Author: David T. Ford
Publisher:
ISBN:
Category : Flood forecasting
Languages : en
Pages : 20
Get Book Here
Book Description
Computer program HEC-1, a precipitation-runoff model widely used throughout the United States, includes the capability to estimate automatically any of twelve parameters necessary to model the precipitation-runoff process and the channel routing process. The parameter estimation scheme employs Newton's method to minimize a weighted sum of squares of differences between observed and computed hydrograph values. Applications of this parameter estimation procedure are presneted, and typical steps of the procedure for deterimining optimal parameter estimates are outlined. Recent efforts to improve the estimation algorithm and recent use of the calibration capability to update sequentially parameter estimates in a flood forecasting application are discussed. (Author).
Author: Vijay P. Singh
Publisher: CRC Press
ISBN: 1420037439
Category : Science
Languages : en
Pages : 678
Get Book Here
Book Description
Watershed modeling is at the heart of modern hydrology, supplying rich information that is vital to addressing resource planning, environmental, and social problems. Even in light of this important role, many books relegate the subject to a single chapter while books devoted to modeling focus only on a specific area of application. Recognizing the
Author: Vijay P Singh
Publisher: Springer
ISBN: 9811058016
Category : Science
Languages : en
Pages : 718
Get Book Here
Book Description
This book contains seven parts. The first part deals with some aspects of rainfall analysis, including rainfall probability distribution, local rainfall interception, and analysis for reservoir release. Part 2 is on evapotranspiration and discusses development of neural network models, errors, and sensitivity. Part 3 focuses on various aspects of urban runoff, including hydrologic impacts, storm water management, and drainage systems. Part 4 deals with soil erosion and sediment, covering mineralogical composition, geostatistical analysis, land use impacts, and land use mapping. Part 5 treats remote sensing and geographic information system (GIS) applications to different hydrologic problems. Watershed runoff and floods are discussed in Part 6, encompassing hydraulic, experimental, and theoretical aspects. Water modeling constitutes the concluding Part 7. Soil and Water Assessment Tool (SWAT), Xinanjiang, and Soil Conservation Service-Curve Number (SCS-CN) models are discussed. The book is of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management find the book to be of value.
Author: Renji Remesan
Publisher: Springer
ISBN: 3319092359
Category : Science
Languages : en
Pages : 261
Get Book Here
Book Description
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
Author: Yasar Inci Tekeli
Publisher:
ISBN:
Category :
Languages : en
Pages : 178
Get Book Here
Book Description
