Data Processing

Svenja Fischer; Andreas H. Schumann

doi:10.1007/978-3-031-32711-7_6

Data Processing

Svenja Fischer^*
, Andreas H. Schumann

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

The application of type-based statistics requires an appropriate data basis. In contrast to classical flood frequency analyses, it is no longer sufficient to consider only one event per year, let alone only the flood peak. In this chapter, methods to separate flood events and the corresponding precipitation events are introduced. The methods are based on statistical threshold criteria and define flood events from daily discharges. In a second step, a hybrid causative-hydrograph-based flood typology is proposed that is explicitly designed for the use in the context of flood statistics and thus requires only few input data available for a long time period. As a result, samples of separated flood events that are classified into five flood types—three rainfall-driven flood types, two snowmelt-induced flood types—are derived that then can be used for application in type-based flood statistics.

Original language	English
Title of host publication	Type-Based Flood Statistics
Subtitle of host publication	An Interlink Between Stochastic and Deterministic Flood Hydrology
Publisher	Springer
Chapter	6
Pages	73-85
ISBN (Electronic)	9783031327117
ISBN (Print)	9783031327100, 9783031327131
DOIs	https://doi.org/10.1007/978-3-031-32711-7_6
Publication status	Published - 14 Sept 2023
Externally published	Yes

Publication series

Name	Water Science and Technology Library
Volume	124
ISSN (Print)	0921-092X
ISSN (Electronic)	1872-4663

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10.1007/978-3-031-32711-7_6

Cite this

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title = "Data Processing",

abstract = "The application of type-based statistics requires an appropriate data basis. In contrast to classical flood frequency analyses, it is no longer sufficient to consider only one event per year, let alone only the flood peak. In this chapter, methods to separate flood events and the corresponding precipitation events are introduced. The methods are based on statistical threshold criteria and define flood events from daily discharges. In a second step, a hybrid causative-hydrograph-based flood typology is proposed that is explicitly designed for the use in the context of flood statistics and thus requires only few input data available for a long time period. As a result, samples of separated flood events that are classified into five flood types—three rainfall-driven flood types, two snowmelt-induced flood types—are derived that then can be used for application in type-based flood statistics.",

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doi = "10.1007/978-3-031-32711-7\_6",

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TY - CHAP

T1 - Data Processing

AU - Fischer, Svenja

AU - Schumann, Andreas H.

PY - 2023/9/14

Y1 - 2023/9/14

N2 - The application of type-based statistics requires an appropriate data basis. In contrast to classical flood frequency analyses, it is no longer sufficient to consider only one event per year, let alone only the flood peak. In this chapter, methods to separate flood events and the corresponding precipitation events are introduced. The methods are based on statistical threshold criteria and define flood events from daily discharges. In a second step, a hybrid causative-hydrograph-based flood typology is proposed that is explicitly designed for the use in the context of flood statistics and thus requires only few input data available for a long time period. As a result, samples of separated flood events that are classified into five flood types—three rainfall-driven flood types, two snowmelt-induced flood types—are derived that then can be used for application in type-based flood statistics.

AB - The application of type-based statistics requires an appropriate data basis. In contrast to classical flood frequency analyses, it is no longer sufficient to consider only one event per year, let alone only the flood peak. In this chapter, methods to separate flood events and the corresponding precipitation events are introduced. The methods are based on statistical threshold criteria and define flood events from daily discharges. In a second step, a hybrid causative-hydrograph-based flood typology is proposed that is explicitly designed for the use in the context of flood statistics and thus requires only few input data available for a long time period. As a result, samples of separated flood events that are classified into five flood types—three rainfall-driven flood types, two snowmelt-induced flood types—are derived that then can be used for application in type-based flood statistics.

U2 - 10.1007/978-3-031-32711-7_6

DO - 10.1007/978-3-031-32711-7_6

M3 - Chapter

SN - 9783031327100

SN - 9783031327131

T3 - Water Science and Technology Library

SP - 73

EP - 85

BT - Type-Based Flood Statistics

PB - Springer

ER -

Data Processing

Abstract

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