Articol Articol

Modeling the travel distances of debris flows and debris slides: quantifying hillside morphology A travel distance model for debris flows and slides is presented based on information collected in southeast British Columbia, Canada. The model incorporates a variable that represents terrain morphology by a single number, quantification made using a one-to-one correspondence between the binary and decimal numeration systems. The terrain morphology coding has a site-specific character, providing a process-based representation of local conditions. Multiple regression analysis was used to assess the dependence of event travel distance on terrain morphology, slope, stand height, terrain curvature and canopy closure (R2 = 0.975, p < 0.001). The model fulfills all the assumptions and requirements of regression analysis (i.e. normality, homoscedasticity,non – correlated errors, lack of colinearity or outliers). An independent data set was used to test the model. The model successfully predicted all but one of the test dataset events, and one of four outliers. The model consists of an equation that can be used in mass movement risk assessment associated, with different forest activities (e.g. harvesting, road building).
Modeling the travel distances of debris flows and debris slides: quantifying hillside morphology.

Annals of Forest Research

Număr 54(1) | Publicat la 16/02/2011 | Pagini:  119 - 134 | ISSN  1844-8135 | eISSN  2065-2445

Autori:
Bogdan Strimbu [1]
[1] School of Forestry, Louisiana Tech University, 201-1201 Reese Dr. Ruston LA 71272 USA.
Rezumat
A travel distance model for debris flows and slides is presented based on information collected in southeast British Columbia, Canada. The model incorporates a variable that represents terrain morphology by a single number, quantification made using a one-to-one correspondence between the binary and decimal numeration systems. The terrain morphology coding has a site-specific character, providing a process-based representation of local conditions. Multiple regression analysis was used to assess the dependence of event travel distance on terrain morphology, slope, stand height, terrain curvature and canopy closure (R2 = 0.975, p < 0.001). The model fulfills all the assumptions and requirements of regression analysis (i.e. normality, homoscedasticity,non – correlated errors, lack of colinearity or outliers). An independent data set was used to test the model. The model successfully predicted all but one of the test dataset events, and one of four outliers. The model consists of an equation that can be used in mass movement risk assessment associated, with different forest activities (e.g. harvesting, road building).
Cuvinte cheie:
reach, binary codification, number theory, regression analysis, British Columbia.



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