scholarly journals Pullout Testing of Soil Nails in Gneissic Residual Soil

2020 ◽  
Vol 43 (1) ◽  
pp. 85-96
Author(s):  
Ana Carolina Nascimento de Barros Arêdes ◽  
Eduardo Antonio Gomes Marques ◽  
Angelo Henrique Cruz Oliveira
Keyword(s):  
Residual Soil ◽  
Soil Nails ◽  
Pullout Testing

Field Pullout Testing and Performance Evaluation of GFRP Soil Nails

2011 ◽  
Vol 137 (7) ◽  
pp. 633-642 ◽  
Author(s):  
Hong-Hu Zhu ◽  
Jian-Hua Yin ◽  
Albert T. Yeung ◽  
Wei Jin
Keyword(s):  
Performance Evaluation ◽  
Soil Nails ◽  
Pullout Testing ◽  
And Performance

Definition of load transfer curves of piles in granitic residual soil

Geotecnia ◽  
2014 ◽  
Vol 130 ◽  
pp. 79-99
Author(s):  
David Jorge Pereira Fernandes ◽  
◽  
<br>António Viana da Fonseca ◽  
Keyword(s):  
Load Transfer ◽  
Residual Soil ◽  
Definition Of

NLEAP Computer Model and Multiple Linear Regression Prediction of Nitrate Leaching in Vegetable Systems

2002 ◽  
Vol 12 (2) ◽  
pp. 250-256 ◽  
Author(s):  
Hudson Minshew ◽  
John Selker ◽  
Delbert Hemphill ◽  
Richard P. Dick
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Nitrate Leaching ◽  
Cover Crops ◽  
N Uptake ◽  
N Leaching ◽  
Residual Soil ◽  
Vegetable Crops ◽  
Crop N Uptake ◽  
Mlr Model

Predicting leaching of residual soil nitrate-nitrogen (NO3-N) in wet climates is important for reducing risks of groundwater contamination and conserving soil N. The goal of this research was to determine the potential to use easily measurable or readily available soilclimatic-plant data that could be put into simple computer models and used to predict NO3 leaching under various management systems. Two computer programs were compared for their potential to predict monthly NO3-N leaching losses in western Oregon vegetable systems with or without cover crops. The models were a statistical multiple linear regression (MLR) model and the commercially available Nitrate Leaching and Economical Analysis Package model (NLEAP 1.13). The best MLR model found using stepwise regression to predict annual leachate NO3-N had four independent variables (log transformed fall soil NO3-N, leachate volume, summer crop N uptake, and N fertilizer rate) (P < 0.001, R2 = 0.57). Comparisons were made between NLEAP and field data for mass of NO3-N leached between the months of September and May from 1992 to 1997. Predictions with NLEAP showed greater correlation to observed data during high-rainfall years compared to dry or averagerainfall years. The model was found to be sensitive to yield estimates, but vegetation management choices were limiting for vegetable crops and for systems that included a cover crop.

scholarly journals Laboratory model test study of the hydrological effect on granite residual soil slopes considering different vegetation types

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jie Chen ◽  
Xue-wen Lei ◽  
Han-lin Zhang ◽  
Zhi Lin ◽  
Hui Wang ◽  
...  
Keyword(s):  
Root System ◽  
Heavy Rainfall ◽  
Storage Capacity ◽  
Water Storage ◽  
Laboratory Model ◽  
Residual Soil ◽  
Vegetation Types ◽  
Water Storage Capacity ◽  
Granite Residual Soil ◽  
Stem Leaf

AbstractThe problems caused by the interaction between slopes and hydrologic environment in traffic civil engineering are very serious in the granite residual soil area of China, especially in Guangdong Province. Against the background of two heavy rainfall events occurring during a short period due to a typhoon making landfall twice or even two typhoons consecutively making landfall, laboratory model tests were carried out on the hydrological effects of the granite residual soil slope considering three vegetation types under artificial rainfall. The variation in slope surface runoff, soil moisture content and rain seepage over time was recorded during the tests. The results indicate that surface vegetation first effectively reduces the splash erosion impact of rainwater on slopes and then influences the slope hydrological effect through rainwater forms adjustment. (1) The exposed slope has weak resistance to two consecutive heavy rains, the degree of slope scouring and soil erosion damage will increase greatly during the second rainfall. (2) The multiple hindrances of the stem leaf of Zoysia japonica plays a leading role in regulating the hydrological effect of slope, the root system has little effect on the permeability and water storage capacity of slope soil, but improves the erosion resistance of it. (3) Both the stem leaf and root system of Nephrolepis cordifolia have important roles on the hydrological effect. The stem leaf can stabilize the infiltration of rainwater, and successfully inhibit the surface runoff under continuous secondary heavy rainfall. The root system significantly enhances the water storage capacity of the slope, and greatly increases the permeability of the slope soil in the second rainfall, which is totally different from that of the exposed and Zoysia japonica slopes. (4) Zoysia is a suitable vegetation species in terms of slope protection because of its comprehensive slope protection effect. Nephrolepis cordifolia should be cautiously planted as slope protection vegetation. Only on slopes with no stability issues should Nephrolepis cordifolia be considered to preserve soil and water.

Use of digital image technique to study leachate penetration in biocemented residual soil

2021 ◽  
Author(s):  
Muttaqa Uba Zango ◽  
Khairul Anuar Kassim ◽  
Radzuan Sa'ari ◽  
Mohd Fadhli Abd Rashid ◽  
Abubakar Sadiq Muhammed ◽  
...  
Keyword(s):  
Digital Image ◽  
Residual Soil ◽  
Image Technique
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