Radar slope monitoring is now widely used across the world, for example, the slope stability radar(SSR)and the movement and surveying radar(MSR) are currently in use in many mines around the world.However, to fully re...Radar slope monitoring is now widely used across the world, for example, the slope stability radar(SSR)and the movement and surveying radar(MSR) are currently in use in many mines around the world.However, to fully realize the effectiveness of this radar in notifying mine personnel of an impending slope failure, a method that can confidently predict the time of failure is necessary. The model developed in this study is based on the inverse velocity method pioneered by Fukuzono in 1985. The model named the slope failure prediction model(SFPM) was validated with the displacement data from two slope failures monitored with the MSR. The model was found to be very effective in predicting the time to failure while providing adequate evacuation time once the progressive displacement stage is reached.展开更多
Ground Penetrating Radar (GPR) is one of the non-invasive techniques commonly used to identify “anomalies” in the ground. It has been proven very effective in different fields ranging from the location of pipes and ...Ground Penetrating Radar (GPR) is one of the non-invasive techniques commonly used to identify “anomalies” in the ground. It has been proven very effective in different fields ranging from the location of pipes and other underground services to the identification of archaeological sites. After the 1994 Kwun Lung Lau accident in Hong Kong, the Government has been commissioning the feasibility of different geophysics techniques to identify any issues related to engineering slopes and retaining walls. Among the different techniques tested during phase I, Electrical Imaging (EI) and Ground Penetrating Radar (GPR) were the most applicable in the study of old masonry walls. This paper aims to stress the importance of using the appropriate frequencies during the GPR survey of engineering slopes. In order to do that, two independent contractors who used different frequencies to carry out the GPR survey on the same area will be compared.展开更多
This paper proposes the retrieval method of ocean wave spectrum for airborne radar observations at small incidence angles, which is slightly modified from the method developed by Hauser. Firstly, it makes use of integ...This paper proposes the retrieval method of ocean wave spectrum for airborne radar observations at small incidence angles, which is slightly modified from the method developed by Hauser. Firstly, it makes use of integration method to estimate total mean square slope instead of fitting method, which aims to reduce the affects of fluctuations superposed on normalized radar cross-section by integration. Secondly, for eliminating the noise spectrum contained in signal spectrum, the method considers the signal spectrum in certain look direction without any long wave components as the assumed noise spectrum, which would be subtracted from signal spectrum in any look direction for linear wave spectrum retrieval. Estimated v from the integration method are lower than the one from fitting method and have a standard deviation of 0.004 between them approximately. The assumed noise spectrum energy almost has no big variations along with the wave number and is slightly lower to the high wave number part of signal spectrum in any look direction, which follows that the assumption makes sense. The retrieved directional spectra are compared with the buoy records in terms of peak wavelength, peak direction and the significant wave height. Comparisons show that the retrieved peak wavelength and significant wave height are slightly higher than the buoy records but don＇t differs significantly （error less than 10%）. For peak direction, the swell waves in first case basically propagate in the wind direction 6 hours ago and the wind-generated waves in second case also propagate in the wind direction, but the 180° ambiguity remains. Results show that the modified method can carry out the retrieval of directional wave spectrum.展开更多
基金supported by the Centennial Trust Fund, School of Mining Engineering, University of the Witwatersrand, South Africa
文摘Radar slope monitoring is now widely used across the world, for example, the slope stability radar(SSR)and the movement and surveying radar(MSR) are currently in use in many mines around the world.However, to fully realize the effectiveness of this radar in notifying mine personnel of an impending slope failure, a method that can confidently predict the time of failure is necessary. The model developed in this study is based on the inverse velocity method pioneered by Fukuzono in 1985. The model named the slope failure prediction model(SFPM) was validated with the displacement data from two slope failures monitored with the MSR. The model was found to be very effective in predicting the time to failure while providing adequate evacuation time once the progressive displacement stage is reached.
文摘Ground Penetrating Radar (GPR) is one of the non-invasive techniques commonly used to identify “anomalies” in the ground. It has been proven very effective in different fields ranging from the location of pipes and other underground services to the identification of archaeological sites. After the 1994 Kwun Lung Lau accident in Hong Kong, the Government has been commissioning the feasibility of different geophysics techniques to identify any issues related to engineering slopes and retaining walls. Among the different techniques tested during phase I, Electrical Imaging (EI) and Ground Penetrating Radar (GPR) were the most applicable in the study of old masonry walls. This paper aims to stress the importance of using the appropriate frequencies during the GPR survey of engineering slopes. In order to do that, two independent contractors who used different frequencies to carry out the GPR survey on the same area will be compared.
基金The Key Technologies Research on HY-1B Satellite Data Applications:JT0805the Composite Investigation and Evaluation on China Offshore Ocean:908-03-02-08
文摘This paper proposes the retrieval method of ocean wave spectrum for airborne radar observations at small incidence angles, which is slightly modified from the method developed by Hauser. Firstly, it makes use of integration method to estimate total mean square slope instead of fitting method, which aims to reduce the affects of fluctuations superposed on normalized radar cross-section by integration. Secondly, for eliminating the noise spectrum contained in signal spectrum, the method considers the signal spectrum in certain look direction without any long wave components as the assumed noise spectrum, which would be subtracted from signal spectrum in any look direction for linear wave spectrum retrieval. Estimated v from the integration method are lower than the one from fitting method and have a standard deviation of 0.004 between them approximately. The assumed noise spectrum energy almost has no big variations along with the wave number and is slightly lower to the high wave number part of signal spectrum in any look direction, which follows that the assumption makes sense. The retrieved directional spectra are compared with the buoy records in terms of peak wavelength, peak direction and the significant wave height. Comparisons show that the retrieved peak wavelength and significant wave height are slightly higher than the buoy records but don＇t differs significantly （error less than 10%）. For peak direction, the swell waves in first case basically propagate in the wind direction 6 hours ago and the wind-generated waves in second case also propagate in the wind direction, but the 180° ambiguity remains. Results show that the modified method can carry out the retrieval of directional wave spectrum.
