Effects of heterogeneity distribution on hillslope stability during rainfalls
The objective of this study was to investigate the spatial relationship between the most likely distribution of saturated hydraulic conductivity (K-s) and the observed pressure head (P) distribution within a hillslope. The cross-correlation analysis method was used to investigate the effects of the...
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6229242017-03-31T03:00:37Z Effects of heterogeneity distribution on hillslope stability during rainfalls Cai, Jing-sen Yan, E-chuan Yeh, Tian-chyi Jim Zha, Yuan-yuan Univ Arizona, Dept Hydrol & Water Resources Cross-correlation analysis Heterogeneity Hillslope stability Saturated hydraulic conductivity Stochastic conceptualization Pore-water pressure The objective of this study was to investigate the spatial relationship between the most likely distribution of saturated hydraulic conductivity (K-s) and the observed pressure head (P) distribution within a hillslope. The cross-correlation analysis method was used to investigate the effects of the variance of lnK(s), spatial structure anisotropy of lnK(s), and vertical infiltration flux (q) on P at some selected locations within the hillslope. The cross-correlation analysis shows that, in the unsaturated region with a uniform flux boundary, the dominant correlation between P and Ks is negative and mainly occurs around the observation location of P. A relatively high P value is located in a relatively low Ks zone, while a relatively low P value is located in a relatively high Ks zone. Generally speaking, P is positively correlated with q/Ks at the same location in the unsaturated region. In the saturated region, the spatial distribution of K-s can significantly affect the position and shape of the phreatic surface. We therefore conclude that heterogeneity can cause some parts of the hillslope to be sensitive to external hydraulic stimuli (e.g., rainfall and reservoir level change), and other parts of the hillslope to be insensitive. This is crucial to explaining why slopes with similar geometries would show different responses to the same hydraulic stimuli, which is significant to hillslope stability analysis. (C) 2016 Hohai University. Production and hosting by Elsevier B.V. 2016-04 Article Effects of heterogeneity distribution on hillslope stability during rainfalls 2016, 9 (2):134 Water Science and Engineering 16742370 10.1016/j.wse.2016.06.004 http://hdl.handle.net/10150/622924 http://arizona.openrepository.com/arizona/handle/10150/622924 Water Science and Engineering en http://linkinghub.elsevier.com/retrieve/pii/S1674237016300163 This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/). EDITORIAL BOARD WATER SCIENCE & ENGINEERING |
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Cross-correlation analysis Heterogeneity Hillslope stability Saturated hydraulic conductivity Stochastic conceptualization Pore-water pressure |
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Cross-correlation analysis Heterogeneity Hillslope stability Saturated hydraulic conductivity Stochastic conceptualization Pore-water pressure Cai, Jing-sen Yan, E-chuan Yeh, Tian-chyi Jim Zha, Yuan-yuan Effects of heterogeneity distribution on hillslope stability during rainfalls |
description |
The objective of this study was to investigate the spatial relationship between the most likely distribution of saturated hydraulic conductivity (K-s) and the observed pressure head (P) distribution within a hillslope. The cross-correlation analysis method was used to investigate the effects of the variance of lnK(s), spatial structure anisotropy of lnK(s), and vertical infiltration flux (q) on P at some selected locations within the hillslope. The cross-correlation analysis shows that, in the unsaturated region with a uniform flux boundary, the dominant correlation between P and Ks is negative and mainly occurs around the observation location of P. A relatively high P value is located in a relatively low Ks zone, while a relatively low P value is located in a relatively high Ks zone. Generally speaking, P is positively correlated with q/Ks at the same location in the unsaturated region. In the saturated region, the spatial distribution of K-s can significantly affect the position and shape of the phreatic surface. We therefore conclude that heterogeneity can cause some parts of the hillslope to be sensitive to external hydraulic stimuli (e.g., rainfall and reservoir level change), and other parts of the hillslope to be insensitive. This is crucial to explaining why slopes with similar geometries would show different responses to the same hydraulic stimuli, which is significant to hillslope stability analysis. (C) 2016 Hohai University. Production and hosting by Elsevier B.V. |
author2 |
Univ Arizona, Dept Hydrol & Water Resources |
author_facet |
Univ Arizona, Dept Hydrol & Water Resources Cai, Jing-sen Yan, E-chuan Yeh, Tian-chyi Jim Zha, Yuan-yuan |
author |
Cai, Jing-sen Yan, E-chuan Yeh, Tian-chyi Jim Zha, Yuan-yuan |
author_sort |
Cai, Jing-sen |
title |
Effects of heterogeneity distribution on hillslope stability during rainfalls |
title_short |
Effects of heterogeneity distribution on hillslope stability during rainfalls |
title_full |
Effects of heterogeneity distribution on hillslope stability during rainfalls |
title_fullStr |
Effects of heterogeneity distribution on hillslope stability during rainfalls |
title_full_unstemmed |
Effects of heterogeneity distribution on hillslope stability during rainfalls |
title_sort |
effects of heterogeneity distribution on hillslope stability during rainfalls |
publisher |
EDITORIAL BOARD WATER SCIENCE & ENGINEERING |
publishDate |
2016 |
url |
http://hdl.handle.net/10150/622924 http://arizona.openrepository.com/arizona/handle/10150/622924 |
work_keys_str_mv |
AT caijingsen effectsofheterogeneitydistributiononhillslopestabilityduringrainfalls AT yanechuan effectsofheterogeneitydistributiononhillslopestabilityduringrainfalls AT yehtianchyijim effectsofheterogeneitydistributiononhillslopestabilityduringrainfalls AT zhayuanyuan effectsofheterogeneitydistributiononhillslopestabilityduringrainfalls |
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1718436026004799488 |