Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4573-2017
https://doi.org/10.5194/hess-21-4573-2017
Research article
 | 
13 Sep 2017
Research article |  | 13 Sep 2017

Characterizing the spatial variations and correlations of large rainstorms for landslide study

Liang Gao, Limin Zhang, and Mengqian Lu

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Cited articles

AECOM and Lin, B.: 24 h Probable Maximum Precipitation Updating Study. GEO Report No. 314, Geotechnical Engineering Office, Hong Kong, 2015.
Bacchi, B. and Kottegoda, N.: Identification and calibration of spatial correlation patterns of rainfall, J. Hydrol., 165, 311–348, 1995.
Barancourt, C., Creutin, J. D., and Rivoirard, J.: A method for delineating and estimating rainfall fields, Water Resour. Res., 28, 1133–1144, 1992.
Bouvier, C., Cisneros, L., Dominguez, R., Laborde, J. P., and Lebel, T.: Generating rainfall fields using principal components (PC) decomposition of the covariance matrix: a case study in Mexico City, J. Hydrol., 278, 107–120, 2003.
CEDD: Management of Natural Terrain Landslide Risk, Information Note 03/2008, Geotechnical Engineering Office, Civil Engineering and Development Department, Hong Kong, 2008.
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Short summary
Rainfall is the primary trigger of landslides. However, the rainfall intensity is not uniform in space, which causes more landslides in the area of intense rainfall. The primary objective of this paper is to quantify spatial correlation characteristics of three landslide-triggering large storms in Hong Kong. The spatial maximum rolling rainfall is represented by a trend surface and a random field of residuals. The scales of fluctuation of the residuals are found between 5 km and 30 km.
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