Runoff erosion control performance of structurally modified coir geomeshes on different soil type and slope angle

2021 ◽  
pp. 1-13
Author(s):  
Sushma Verma ◽  
Vinay Kumar Midha ◽  
Awadesh Kumar Choudhary
Tekstilec ◽  
2021 ◽  
Vol 64 (2) ◽  
pp. 149-158
Author(s):  
Sushma Verma ◽  
◽  
Vinay Kumar Midha ◽  
Awadesh Kumar Choudhary ◽  
◽  
...  

Soil erosion is a serious environmental problem that can be controlled using bioengineering techniques. In using a bioengineering technique, temporary reinforcement is performed with geomeshes until vegetation takes root. In this study, structurally modified jute and coir geomeshes were tested for runoff erosion control and runoff volume over loamy sand at different slope angles. The laboratory results revealed that all parameters (slope angle, type of weave and type of material) had a significant effect on the erosion control performance of geomeshes. The slope angle contributed most (52.34%) to runoff erosion control, followed by weave type (25.79%) and type of material (12.28%). At lower and medium slope angles (of 15o and 30o, respectively) the twill-woven structure of coir geomeshes provided better erosion control than plain- and satin-woven structures, while plain-woven jute geomeshes demonstrated better erosion control at all slope angles. To understand the overall impact, a germination test was also conducted. According to the germination test results, the twill weave of jute geomeshes provided the highest rooting length. In general, plain-woven jute geomeshes are preferred for better erosion control on a high slope angle, while plain and twill can be used on a low slope angle.


2008 ◽  
Vol 16 (4) ◽  
pp. 257-266 ◽  
Author(s):  
C.G. Dorahy ◽  
I. McMaster ◽  
A.D. Pirie ◽  
P. Pengelly ◽  
L.M. Muirhead ◽  
...  

2015 ◽  
Vol 71 (2) ◽  
pp. I_1135-I_1140 ◽  
Author(s):  
Keisuke MURAKAMI ◽  
Shinji SATO ◽  
Ryuichiro NISHI ◽  
Hiroki MATSUDA ◽  
Yoshio SUWA ◽  
...  

2013 ◽  
Vol 50 (8) ◽  
pp. 889-898
Author(s):  
P.E. Quinn

This paper describes geostatistical analyses completed at a discontinuous permafrost site in central Yukon to develop a predictive model for the presence of late-season frozen ground in support of planning and design for potential site development. The most important factors in the bivariate statistical model were soil type, as determined through terrain analysis, and slope aspect, as inferred from available topographic data. The other three factors included in the final model were profile curvature, slope angle, and ground elevation, each interpreted from available topographic data. The resulting model subdivides the site into three broad classes of frozen ground likelihood: low, where frozen ground can be expected to be encountered in late summer at 15% of observation locations; medium, where 50% of the ground is expected to remain frozen; and high, where 85% of the ground is expected to remain frozen. New test pit and borehole data from the summer of 2012 were used to verify model performance. The inferred correlations between frozen ground and soil type, aspect, curvature, slope, and elevation obtained in this case study may provide useful information relative to expected permafrost occurrence at sites in central Yukon with similar geology and physiography.


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