TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Statistical hydrology
 
Options

Statistical hydrology

Publikationstyp
Book Part
Date Issued
2011-01-01
Sprache
English
Author(s)
Grimaldi, S.  
Kao S.-C.  
Castellarin, A.  
Papalexiou, Simon Michael  
Viglione, A.  
Laio, F.  
Aksoy, H.  
Gedikli, A.  
TORE-URI
https://hdl.handle.net/11420/57945
Volume
2
Start Page
479
End Page
517
Citation
Treatise on water science Vol. 2: 479-517 (2011)
Publisher DOI
10.1016/B978-0-444-53199-5.00046-4
Scopus ID
2-s2.0-84908698460
ISBN
978-0-444-53195-7
Hydrological phenomena such as precipitation, floods, and droughts are inherently random by nature. Due to the complexity of the hydrologic system, these physical processes are not fully understood and reliable deterministic mathematical models are still to be developed. Therefore, in order to provide useful analyses for designing hydraulic facilities and infrastructures, statistical approaches have been commonly adopted. This chapter describes some statistical topics widely used in hydrology. Among the large number of subjects available in literature, the attention is focalized on some of them particularly useful either for innovative hydrological analyses or for an appropriate application of common procedures.Precisely, the chapter describes in details the stationary hypothesis on hydrological time series, the univariate extreme value analysis procedure, the intensity-duration-frequency curves, the copula function useful for multivariate analysis, and the regional flood frequency analysis.
Subjects
Copula function
Extreme rainfall analysis
Extreme value analysis
Goodness-of-fit tests
IDF - intensity duration frequency curves
L-moments
Multivariate distributions
Nonstationary time series
Regional index flood
RFFA - regional flood frequency analysis
Time series segmentation
Trend detection
DDC Class
600: Technology
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback