Skip to content
Home/ Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling
Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

No customer reviews yet ISBN 9781138027466

Due to the complexity of hydrological systems a single model may be unable to capture the full range of a catchment response and accurately predict the streamflows. A solution could be the in use of several specialized models organized in the so-called committees. Refining the committee approach is one of the important topics of this study, and it is demonstrated that it allows for increased predictive capability of models.

Another topic addressed is the prediction of hydrologic models' uncertainty. The traditionally used Monte Carlo method is based on the past data and cannot be directly used for estimation of model uncertainty for the future model runs during its operation. In this thesis the so-called MLUE (Machine Learning for Uncertainty Estimation) approach is further explored and extended; in it the machine learning techniques (e.g. neural networks) are used to encapsulate the results of Monte Carlo experiments in a predictive model that is able to estimate uncertainty for the future states of the modelled system.

Furthermore, it is demonstrated that a committee of several predictive uncertainty models allows for an increase in prediction accuracy. Catchments in Nepal, UK and USA are used as case studies.

In flood modelling hydrological models are typically used in combination with hydraulic models forming a cascade, often supported by geospatial processing. For uncertainty analysis of flood inundation modelling of the Nzoia catchment (Kenya) SWAT hydrological and SOBEK hydrodynamic models are integrated, and the parametric uncertainty of the hydrological model is allowed to propagate through the model cascade using Monte Carlo simulations, leading to the generation of the probabilistic flood maps. Due to the high computational complexity of these experiments, the high performance (cluster) computing framework is designed and used.

This study refined a number of hydroinformatics techniques, thus enhancing uncertainty-based hydrological and integrated modelling.

About the author

Product details

Pub dateJan 5, 2015
ISBN-101138027464
ISBN-139781138027466
LanguageEnglish
Last updated 2026-03-12 04:50
$83.74 $84.99 1% off
You save $1.25 · list price $84.99
In stock soon — order now to reserve your copy
Delivery by Monday, September 14, 2026
Qty
Sign in to Add to Saved list
Free delivery on orders over $35.
15-day returns. Any reason.
Secure checkout. We never store card details.

Readers who bought this also bought

More from Earth Sciences - Hydrology
See all
Indus River Basin
<p><i>Indus River Basin: Water Security and Sustainability</i> provides a comprehensive treatment of water-related issues within the Indus River basin. Each chapter is written by an expert in the field, hence this book serves as a single, holistic source covering the whole region, not just a single country. Many of the challenges faced by this region are trans-boundary issues, especially within the context of climate change and water scarcity. Topics covered include extreme engineering and water resource management (one of the largest irrigation systems in dry to semi-desert conditions), social sciences (population dynamics linked to water resources) and political sciences.</p> <p>As such, this book is relevant and important to all researchers interested in these issues.</p><br>Sadiq Khan is an associate scientist at University Corporation for Atmospheric Research (UCAR) based at the U.S. National Oceanic and Atmospheric Agency, National Water Center (NWC). Prior to joining the NWC, he was a research scientist in the School of Civil Engineering and Environmental Science at the University of Oklahoma (OU). Dr. Khan received his Ph.D in 2011 from OU, where he was the recipient of NASA Earth and Space Science Fellowship. He was selected for an outstanding student paper award for the research work he presented at American Geophysical Union Fall 2009 Meeting in San Francisco, CA. Dr. Khan's main research interests include&#x3b; 1) multi-source data fusion in hydrology, particularly optical and microwave remote sensing for water resource monitoring&#x3b; 2) numerical and geospatial modelling to estimate hydrologic variables and therefore better predict water extremes.<br>Thomas E. Adams, III, Hydrologist/AWIPS Software Testing, Fairfield Technologies, Inc., Silver Spring, MD, USA <p>Visiting Scientist, NOAA/NWS National Water Center in Tuscaloosa, AL, USA <p>Thomas E. Adams, III, has twenty years of real-time operational hydrologic forecasting experience at the NOAA/National Weather Service (NWS), Ohio River Forecast Center (OHRFC), including model parameter estimation, hydrologic and hydraulic modeling and model calibration. His experience includes development and implementation of the Ohio River Community HEC-RAS Model, operational probabilistic/ensemble hydrologic forecasting, precipitation estimation and analysis, land surface/atmosphere interaction, and impact of global climate change on water resources. <p>He is currently involved with Advanced Weather Interactive Processing System (AWIPS) software development and testing for the NWS and served as flash flood forecasting expert in Beijing, China. He is a member of the American Geophysical Union, American Meteorological Society, American Society of Civil Engineers, and the Soil Science Society of America.<br>
$138.90
Integrated Coastal Management in the Japanese Satoumi
<p><i>Integrated Coastal Management in the Japanese Satoumi: Restoring Estuaries and Bays</i> provides an in-depth exploration of the integrated costal management (ICM) used in the Japanese Satoumi. The lessons of Satoumi―coastal areas where biological productivity and biodiversity have increased through human interaction―are important for the rest of the world, given the political consensus reached in Japan to truly restore estuaries and bays. The book will discuss and explain how this method could be modified to apply to other cultures in the world.</p> <i> <p>Integrated Coastal Management in the Japanese Satoumi: Restoring Estuaries and Bays</i> presents chapters from experts in the relevant fields and includes chapters about each study field of the Satoumi, making it a valuable resource for researchers, field practitioners, and policymakers in coastal area management and development. This includes the Shizukawa Bay as an open coastal sea, the Seto Inland Sea as semi-enclosed coastal sea, and the Japan Sea. The book moves on to explore the economic evaluation of ecosystem services, a four-step management system, and the negotiation between marine protected areas and fisheries, and concludes with a full section covering a comparison of ICM with Europe and the United States, and how Japan's policies could be integrated.</p><br>Dr. Tetsuo Yanagi received his B.S., M.S., and PhD in Science from Kyoto University. In 1974 he was a Research Associate in the department of ocean engineering at Ehime University and worked his way up to associate professor. In 1990 He became a professor of coastal engineering in the department of civil and ocean engineering at Ehime University. Eight years later, He transferred to the Research Institute for Applied Mechanics (RIAM) at the Kyushu University. In 2008 He became the Director of the Research Institute for Applied Mechanics at Kyushu University and retired in 2013. He was awarded the Prize of Japan-France Oceanographic Society in 1986 and the Prize of Good Book in Ehime Prefecture in 1989. He was also a SAP member if IGBP/START/SARCS from 1993 to 1997 and an SSC member of IGBP/LOICZ from 1993 to 1998. He has published Coastal Oceanography with Kluwer Academic Publishers in 1999 and Sato-Umi: A new concept for sea management in 2007 with TERRAPUB, Tokyo, "Japanese Commons in the Coastal Sea" in 2012 with Springer and "Eutrophication and Oligotrophication in Japanese Estuary" in 2015 with Springer.<br>
$144.68