Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Geovidenskab
  3. Hydrologi og hydrosfæren

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

Af: Isnaeni Murdi Hartanto Engelsk Paperback

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

Af: Isnaeni Murdi Hartanto Engelsk Paperback
Tjek vores konkurrenters priser

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.

Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 507
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

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.

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 176
ISBN-13: 9780367265434
Indbinding: Paperback
Udgave:
ISBN-10: 0367265435
Kategori: Hydrologi og hydrosfæren
Udg. Dato: 1 maj 2019
Længde: 0mm
Bredde: 170mm
Højde: 240mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 1 maj 2019
Forfatter(e): Isnaeni Murdi Hartanto
Forfatter(e) Isnaeni Murdi Hartanto

Kategori Hydrologi og hydrosfæren

ISBN-13 9780367265434

Sprog Engelsk

Indbinding Paperback

Sider 176

Udgave

Længde 0mm

Bredde 170mm

Højde 240mm

Udg. Dato 1 maj 2019

Oplagsdato 1 maj 2019

Forlag Taylor & Francis Ltd

Vi anbefaler også
Rosamunde Pilcher Vejen hjem
Vejen hjem
Rosamunde Pilcher
66 kr
Kategori sammenhænge