An Examination Of Distributed Hydrologic Modeling Methods As Compared With Traditional Lumped Parameter Approaches
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| Author | : Murari Paudel |
| Publisher | : |
| Total Pages | : 156 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
Empirically based lumped hydrologic models have an extensive track record of use where as physically based, multi-dimensional distributed models are evolving for various engineering applications. Despite the availability of high resolution data, better computational resources and robust numerical methods, the usage of distributed models is still limited. The purpose of this research is to establish the credibility and usability of distributed hydrologic modeling tools of the United States Army Corps of Engineers (USACE) in order to promote the extended use of distributed models. Two of the USACE models were used as the modeling tools for the study, with Gridded Surface and Subsurface Hydrologic Analysis (GSSHA) representing a distributed and with Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) representing a lumped model. Watershed Modeling System (WMS) was used as the pre- and post-processing tool. The credibility of distributed models has been established by validating that the distributed models are efficient in solving complex hydrologic problems. The distributed and lumped models in HEC-HMS were compared. Similarly, the capabilities of GSSHA and lumped models in HEC-HMS in simulating land use change scenario were compared. The results of these studies were published in peer-reviewed journals. Similarly, the usability of the distributed models was studied taking GSSHA-WMS modeling as a test case. Some of the major issues in GSSHA-modeling using WMS interface were investigated and solutions were proposed to solve such issues. Personal experience with GSSHA and feedback from the students in a graduate class (CE531) and from participants in the USACE GSSHA training course were used to identify such roadblocks. The project being partly funded by the USACE Engineering Research and Development Center (ERDC) and partly by Aquaveo LLC, the research was motivated in improving GSSHA modeling using the WMS interface.
| Author | : Bellie Sivakumar |
| Publisher | : World Scientific |
| Total Pages | : 542 |
| Release | : 2010-08-10 |
| Genre | : Science |
| ISBN | : 9814464759 |
This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.
| Author | : Muthukrishnavellaisamy Kumarasamy |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 290 |
| Release | : 2012-01-18 |
| Genre | : Science |
| ISBN | : 9533079614 |
This book shares knowledge gained through water management related research. It describes a broad range of approaches and technologies, of which have been developed and used by researchers for managing water resource problems. This multidisciplinary book covers water management issues under surface water management, groundwater management, water quality management, and water resource planning management subtopics. The main objective of this book is to enable a better understanding of these perspectives relating to water management practices. This book is expected to be useful to researchers, policy-makers, and non-governmental organizations working on water related projects in countries worldwide.
| Author | : Renji Remesan |
| Publisher | : Springer |
| Total Pages | : 261 |
| Release | : 2014-11-03 |
| Genre | : Science |
| ISBN | : 3319092359 |
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 | : J. D. Kalma |
| Publisher | : John Wiley & Sons |
| Total Pages | : 518 |
| Release | : 1995-09-11 |
| Genre | : Science |
| ISBN | : |
There is a growing need for appropriate models which address the management of land and water resources and ecosystems at large space and time scales. Theories of non-linear hydrological processes must be extrapolated to large-scale, three-dimensional natural systems such as drainage basins, flood plains and wetlands. This book reports on recent progress in research on scale issues in hydrological modelling. It brings together 27 papers from two special issues of the journal Hydrological Processes. The book makes a significant contribution towards developing research strategies for linking model parameterisations across a range of temporal and spatial scales. The papers selected for this book reflect the tremendous advances which have been made in research into scale issues in hydrological modelling during the last ten years.
| Author | : Vijay P. Singh |
| Publisher | : Water Resources Publication |
| Total Pages | : 930 |
| Release | : 2002 |
| Genre | : Nature |
| ISBN | : 9781887201346 |
Comprehensive account of some of the most popular models of large watershed hydrology ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library
| Author | : Michael B. Abbott |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 323 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 9400902573 |
It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
This work explores a new approach to estimate lumped parameters, taking into account their spatial distribution over the catchment. The objective is to improve the accuracy of lumped rainfall-runoff models applied to small watersheds. The new method uses a distance weighting function (WF) to map the weight of each cell along a flow path from the headwaters to the outlet of the catchment. Cell weights are assumed to diminish with increasing distance from the receiving water body. The proposed method is demonstrated with a non-dimensional Gaussian WF and then compared against two alternate approaches: (i) a simple area-weighted (AW) lumping method and (ii) a more complex physically-based distributed rainfall runoff model (KINEROS2). Parameters investigated are Manning's roughness coefficient (n) and saturated hydraulic conductivity (K sat). Model performance is compared in a series of runoff tests using hypothetical storms on an ideal basin and actual storms a real watershed in Ohio. Test results from the ideal basin indicate that the proposed WF method for estimating K sat leads to improved runoff predictions compared to the conventional AW approach. In the case of Manning's n, however, there is no difference in runoff prediction between the WF and AW methods. Test results from the real watershed indicate that the proposed WF approach provided a slight improvement in simulating runoff.
| Author | : Task Committee on GIS Modules and Distributed Models of the Watershed |
| Publisher | : ASCE Publications |
| Total Pages | : 132 |
| Release | : 1999-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9780784474730 |
Prepared by the Task Committee on GIS Modules and Distributed Models of the Watershed of ASCE. This report guides professionals in selecting the most advantageous applications of geographic information system (GIS) modules and distributed models for watershed runoff. Recent advances in technology offer hydrologic engineers, watershed managers, and data collection agencies unprecedented capabilities for storing and manipulating data. With the advent of Digital Elevation Models (DEM), Triangulated Irregular Networks (TIN), Digital Line Graphs (DLG), and GIS software, the use of watershed modeling among industry professionals has increased at an incredible rate. With this growth, it is increasingly difficult for practitioners to choose the most effective use of the technology. This report identifies state-of-the-art GIS hydrology analysis software and techniques, as well as GIS types and map projections. It covers data commonly required for hydrologic analysis, limitations of available data, and the integration of watershed hydrological analysis software and GIS techniques. The appendix highlights nine examples of watershed modeling systems, including the Watershed Modeling System (WMS), the Soil and Water Assessment Tool (SWAT), and the Hydrologic Model CASC2D.
| Author | : Soroosh Sorooshian |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 294 |
| Release | : 2008-07-18 |
| Genre | : Science |
| ISBN | : 3540778438 |
This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models. Along with my colleagues Dr. Erika Coppola and Dr. Kuolin Hsu, co-directors of the School, we greatly appreciate the invited lectures and all the participants. The members of the local organizing committee, Drs Barbara Tomassetti; Marco Verdecchia and Guido Visconti were instrumental in the success of the school and their contributions, both scienti cally and organizationally are much appreciated.
