Imperial College London
Alternate

DrChristianOnof

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Stochastic Environmental Systems
 
 
 
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Contact

 

c.onof

 
 
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Location

 

410Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Wang:2017,
author = {Wang, L and Onof, C and Ochoa, S and Simões, N},
pages = {138--142},
publisher = {ETH Zurich},
title = {Analysis of kriged rainfields using multifractals},
url = {http://hdl.handle.net/10044/1/54526},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Kriging interpolation is largely used in geostatistics to characterise the spatial structure of data and it is established in general based upon the stationary or intrinsic assumptions; however, the consequence of this second-order approximation is that the local singularities (or extremes) could be smoothed off. This drawback could be magnified as a finer-scale phenomenon is being investigated, such as urban rainfall. Unlike Kriging, the theory multifractals provides a more complete description of the structure of data by considering a range of orders of statistical moments. This work demonstrates the link between multifractal analysis and the Kriging interpolation and finds that Kriging uses only part of in-formation that is included in multifractals. This causes the loss of local singularity of Kriged rainfall field and could be improved by combining it with singularity analysis. A possible solution is proposed in this work and will be implement-ed and presented in the workshop.
AU  - Wang,L
AU  - Onof,C
AU  - Ochoa,S
AU  - Simões,N
EP  - 142
PB  - ETH Zurich
PY  - 2017///
SP  - 138
TI  - Analysis of kriged rainfields using multifractals
UR  - http://hdl.handle.net/10044/1/54526
ER  -
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