- Soil Studies
- Özel Issue: Özel Issue
- Study of classification and estimation models for soil loss disturbed by engineering construction
Study of classification and estimation models for soil loss disturbed by engineering construction
Authors : Duihu Ning, Xiaoying Liu, Pengfei Du
Pages : 13-23
Doi:10.21657/tsd.99392
View : 17 | Download : 10
Publication Date : 2015-01-31
Article Type : Other
Abstract :Growing interest in the research of soil loss caused by human activities has attracted public attention over the world especially for the developing countries. However, existent soil erosion estimation models focused on natural than artificial conditions, and particularly the models used to estimate the soil erosion rate to the latter involves a number of uncertainties, which require further attention. To develop scientific models, it is necessary to extract the characteristics of soil bodies that formed in different engineering construction programs. This contribution reports the results of an investigation of classifications in various artificial programs around China. Some indexes, such as slope gradient, slope length, soil layer depth, vegetation coverage were measured for accumulated spoil and cutting edges, which were caused in the process of construction. Soil samples were also collected from different sites representative of different types of projects and distributed in different areas of China. Measurements of soil density and soil particle size were made on these samples. Four classifications were given and related experiments, including artificial simulation rainfall, field wind tunnel simulation were taken to calculate the influence of wind factors on erosion modulus and to estimate the change of different disturbance times. On the basis of analyzing, the crucial parameters to contribute soil loss were selected and the models framework using for calculating different types soil erosion were put forward.Keywords : Soil erosion induced by human, soil disturbance, engineering construction, erosion modelling, parameter selection