Discuss on the correlations between landslides and rainfall and threshold for landslide early-warning and prediction
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Discuss on the correlations between landslides and rainfall and threshold for landslide early-warning and prediction
Vol. 28, Issue 5, (2007)
作者机构:
中国地质大学(武汉)工程学院,武汉,430074
作者简介:
基金信息:
DOI:
CLC:TU459
Online First:10 September 2013,
Published:2007
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GAO Hua-xi, YIN Kun-long. Discuss on the correlations between landslides and rainfall and threshold for landslide early-warning and prediction[J]. 2007, 28(5).
DOI:
GAO Hua-xi, YIN Kun-long. Discuss on the correlations between landslides and rainfall and threshold for landslide early-warning and prediction[J]. 2007, 28(5).DOI:
Discuss on the correlations between landslides and rainfall and threshold for landslide early-warning and prediction
Historical data of rainfall and landslides in Shenzhen City are researched in detail. And the partial correlation between landslides and rainfall
the correlation between landslides and rainfall intensity
and the statistic relation between landslide and rainfall time are analyzed. The results show that: First
the partial correlation coefficient is better between landslide and the two-days rainfall
and the sum of rainfall. It is clear that the regional landslides will appear when the rainfall reaches some numerical values. Second
the relation is very strong between rainstorm and landslides; the correlation coefficient is beyond 0.8
especially the great rainstorm and the unusual rainstorm. They can trigger landslides. Third
the occurrence time of landslide is parallelism to the rainfall season
the more is rainfall
the more is landslide. In addition
the occurrence time of landslide accords with or lags behind that of rainfall and rainstorm; but the lagged time is less than four days
and the landslide probably arises in the same day and the second day when the rainstorm takes place. The threshold values of critical rainfall and critical rainfall intensity are discussed. At the last
the indexes and grades of spatial early-warning are taken by the coupling between the model of landslide hazards and rainfall so that it predicts the time and space that the landslides occur.