ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Electronic Resource
    Electronic Resource
    A real-time flood forecasting model based on maximum-entropy spectral analysis: I. Development (1993)
    Springer
    Water resources management 7 (1993), S. 109-129 
    Details
    ISSN: 1573-1650
    Keywords: Real-time flood forecasting ; maximum-entropy spectral analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract This paper, the first of two, develops a real-time flood forecasting model using Burg's maximum-entropy spectral analysis (MESA). Fundamental to MESA is the extension of autocovariance and cross-covariance matrices describing the correlations within and between rainfall and runoff series. These matrices are used to derive the model forecasting equations (with and without feedback). The model may be potentially applicable to any pair of correlated hydrologic processes.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00872477
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    A real-time flood forecasting model based on maximum-entropy spectral analysis: II. Application (1993)
    Springer
    Water resources management 7 (1993), S. 131-151 
    Details
    ISSN: 1573-1650
    Keywords: Real-time flood forecasting ; maximum-entropy spectral analysis ; model verification
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract The MESA-based model, developed in the first paper, for real-time flood forecasting was verified on five watersheds from different regions of the world. The sampling time interval and forecast lead time varied from several minutes to one day. The model was found to be superior to a state-space model for all events where it was difficult to obtain prior information about model parameters. The mathematical form of the model was found to be similar to a bivariate autoregressive (AR) model, and under certain conditions, these two models became equivalent.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00872478
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...