| Main Title |
In Extremis Disruptive Events and Trends in Climate and Hydrology / [electronic resource] : |
| Type |
EBOOK |
| Author |
Kropp, Jürgen.
|
| Other Authors |
|
| Publisher |
Springer Berlin Heidelberg, |
| Year Published |
2011 |
| Call Number |
GC1-1581 |
| ISBN |
9783642148637 |
| Subjects |
Geography ;
Hydraulic engineering ;
Meteorology ;
Oceanography ;
Climatic changes ;
Physical geography
|
| Internet Access |
|
| Collation |
XV, 320 p. online resource. |
| Notes |
Due to license restrictions, this resource is available to EPA employees and authorized contractors only |
| Contents Notes |
Part I. General -- The Threat of Climate Extremes: The Need of New Assessment Methodologies -- Intense Precipitation and High Floods - Observations and Projections -- Wavelet Spectral and Cross Spectral Analysis -- Part II. Extremes and Trend Detection -- Trend Detection in River Floods -- Extreme Value Analysis Considering Trends -- Extreme Value and Trend Analysis based on Statistical Modelling of Precipitation Time Series -- Part III. Extremes and Correlations -- The statistics of Return Intervals, Maxima and Centennial Events under the Influence of Long-Term Correlations -- Detrended Fluctuation Studies of Long-Term Persistence and Multifractality of Precipitation and River Runoff Records -- Extraction of Long-term Structures from Southern German Runoff Data by Means of Linear and Nonlinear Dimensionality Reduction -- Part IV. Assessing Uncertainty -- The Bootstrap in Climate Risk Analysis -- Flood Level Confidence Intervals -- A Review on the Pettitt-Test -- Seasonality Effects on Nonlinear Properties of Hydrometeorological Records -- Part V. Spatial Issues -- Regional Determination of Historical Heavy Rain for Reconstruction of Extreme Flood Events -- Development of Regional Flood Frequency Relationships for Gauged and Ungauged Catchments Using L-Moments -- Spatial Correlations of River Runoffs in a Catchment. The book addresses a weakness of current methodologies used in extreme value assessment, i.e. the assumption of stationarity, which is not given in reality. With respect to this issue a lot of new developed technologies are presented, i.e. influence of trends vs. internal correlations, quantitative uncertainty assessments, etc. The book not only focuses on artificial time series data, but has a close link to empirical measurements, in order to make the suggested methodologies applicable for practitioners in water management and meteorology. |
| Place Published |
Berlin, Heidelberg |
| Corporate Au Added Ent |
SpringerLink (Online service) |
| Host Item Entry |
Springer eBooks |
| PUB Date Free Form |
2011 |
| BIB Level |
m |
| Medium |
computer |
| Content |
text |
| Carrier |
online resource |
| Cataloging Source |
OCLC/T |
| OCLC Time Stamp |
20140930022426 |
| Language |
eng |
| Origin |
SPRINGER |
| Type |
EBOOK |
| OCLC Rec Leader |
03629nam a22005175i 45 |
