Abstract:This paper first presents a BDS/GPS damped LAMBDA algorithm, then introduces a real-time remote deformation monitoring system based on this algorithm. We take the slope deformation monitoring system of Lixian slope for example: BDS has more visible satellites and more stable PDOP values than GPS. Besides, the relative positioning precision of BDS are 0.40 cm, 0.31 cm, 1.00 cm in north, east and up respectively, which are also better than the results of GPS. Long-term related analysis indicates that BDS is superior to GPS in slope deformation monitoring in southern China. During 23 months, the average displacements of the three stations in Lixian slope reach 8.70 cm, 4363 cm, 18.03 cm in north, east and up respectively. As rainfall is a main factor for landslide in soil slope, we build a linear regression model using cumulative rainfall data and cumulative displacement data of which correlation coefficient is above 0.98. Accordingly, one should regard the real-time displacement data and rainfall data as important evidence in landslide early-warning.
WANG Binbin,LIU Genyou,LI Zhengyuan et al. BDS/GPS Single Epoch Damped LAMBDA Algorithm and Its Application Analysis in Slope Deformation Monitoring[J]. jgg, 2017, 37(8): 782-786.