DissertationFirst publication DOI: 10.48548/pubdata-444

Flood Assessment and Improving Flood Forecasting for a monsoon dominated River Basin: With Emphasis on Black-box Models and GIS

Die Beurteilung von Überschwemmungen und die Verbesserung von Überschwemmungs-Vorhersagen für ein Monsun geprägtes Flußbecken unter besonderer Berücksichtigung von Black-Box-Modellen und GIS

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Chronological data

Date of first publication2015-12-03
Date of publication in PubData 2024-05-30
Date of defense2015-02-11

Language of the resource

English

Related external resources

Related part DOI: 10.2166/wcc.2014.075
Latt, Z. Z., & Wittenberg, H. (2014). Hydrology and flood probability of the monsoon-dominated Chindwin River in northern Myanmar. Journal of Water and Climate Change, 6(1), 144-160.
Related part DOI: 10.1007/s11269-014-0600-8
Latt, Z. Z., & Wittenberg, H. (2014). Improving flood forecasting in a developing Country: A comparative study of Stepwise multiple linear regression and artificial neural network. Water Resources Management, 28(8), 2109-2128.
Related part DOI: 10.1007/s11269-015-1100-1
Latt, Z. Z. (2015). Application of Feedforward Artificial Neural Network in Muskingum Flood Routing: a Black-Box Forecasting Approach for a Natural River System. Water Resources Management, 29(14), 4995-5014.

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Advisor

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Keywords

Flood; Geo-Information System (GIS); Überschwemmung; Geoinformationssystem (GIS)

Grantor

Leuphana University Lüneburg

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More information

DDC

333.7 :: Natürliche Ressourcen, Energie und Umwelt

Creation Context

Research