Integrating Multiple Sources of Information for Improving Hydrological Modelling: an Ensemble Approach

Author:   Isnaeni Murdi Hartanto (IHE Institute for Water Education, Delft, The Netherlands)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367265434


Pages:   176
Publication Date:   07 May 2019
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Integrating Multiple Sources of Information for Improving Hydrological Modelling: an Ensemble Approach


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Overview

The availability of Earth observation and numerical weather prediction data for hydrological modelling and water management has increased significantly, creating a situation that today, for the same variable, estimates may be available from two or more sources of information. Yet, in hydrological modelling, usually, a particular set of catchment characteristics and input data is selected, possibly ignoring other relevant data sources. In this thesis, therefore, a framework is being proposed to enable effective use of multiple data sources in hydrological modelling. In this framework, each available data source is used to derive catchment parameter values or input time series. Each unique combination of catchment and input data sources thus leads to a different hydrological simulation result: a new ensemble member. Together, the members form an ensemble of hydrological simulations. By following this approach, all available data sources are used effectively and their information is preserved. The framework also accommodates for applying multiple data-model integration methods, e.g. data assimilation. Each alternative integration method leads to yet another unique simulation result. Case study results for a distributed hydrological model of Rijnland, the Netherlands, show that the framework can be applied effectively, improve discharge simulation, and partially account for parameter and data uncertainty.

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Author:   Isnaeni Murdi Hartanto (IHE Institute for Water Education, Delft, The Netherlands)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
ISBN:  

9780367265434


ISBN 10:   0367265435
Pages:   176
Publication Date:   07 May 2019
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Author Information

Isnaeni Murdi Hartanto was born in Kendal, Central Java Province, Indonesia, currently working in Directorate General of Water Resources in Ministry of Public Works of Indonesia. He started this research out of curiosity in availability of data from different sources with different estimates for the same hydrological model parameter. This book presents the integration framework to accommodate different data sources in hydrological modelling, hence, valuable information from each source can be retained. This research relies on data processing, model runs, hydroinformatics, high computing power, and complex programming scripts, which are all part of the interests of the author.

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