Knowledge-guided consistent correlation analysis of multimode landslide monitoring data

2017 ◽  
Vol 31 (11) ◽  
pp. 2255-2271
Author(s):  
Shuangxi Miao ◽  
Qing Zhu ◽  
Bo Zhang ◽  
Yuling Ding ◽  
Junxiao Zhang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Monitoring Data ◽  
Landslide Monitoring

scholarly journals Multi-modal Landslide Monitoring Data Fusion Algorithm Based on Resistivity Imaging

2021 ◽  
Author(s):  
Haning Xu ◽  
Juzhi Deng ◽  
Xiaoqing Xu ◽  
Jian Zhang ◽  
Gang Li ◽  
...  
Keyword(s):  
Deformation Process ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Landslide Monitoring ◽  
Layer By Layer ◽  
Semantic Matching ◽  
Imaging Data ◽  
Fusion Algorithm ◽  
Modal Data ◽  
Resistivity Imaging

Abstract In the process of landslide deformation monitoring, the indicators of monitoring system based on surface displacement cannot accurately reflect the deformation evolution law of deep geotechnical body. Although the joint time curve of deep displacement monitoring of borehole and related monitoring data can reflect the deformation characteristics inside the slope body, it cannot spatially describe and explain the overall deformation process of geotechnical body completely due to the limitation of technical conditions such as borehole. In this paper, using the characteristics of resistivity imaging technology with fast and accurate collection of electrical information of subsurface medium and multi-dimensional imaging, we take resistivity imaging data as complete modal data and fuse deep displacement and groundwater level and other modal data. Through joint depth matrix decomposition and optimization, layer-by-layer modal semantic matching and updating, the distribution and representation differences of modal data are compensated, and the analysis tasks such as classification and clustering of incomplete multimodal data are completed, and the inversion results of resistivity data are updated according to the output modal shared eigenvalues to realize effective multidimensional imaging monitoring of the internal deformation process of landslide geological bodies.

scholarly journals Analysis and interpretation of geodetic landslide monitoring data based on fuzzy systems

2005 ◽  
Vol 5 (5) ◽  
pp. 755-760 ◽  
Author(s):  
M. Haberler-Weber
Keyword(s):  
High Precision ◽  
Fuzzy Systems ◽  
Monitoring Data ◽  
Landslide Monitoring ◽  
Automated Algorithm ◽  
Preceding Step

Abstract. To place high precision geotechnical sensors exactly at the boundaries between blocks with different directions and rates of movement in a sliding area, it is important to detect these boundaries in a preceding step. An automated algorithm for the block detection based on fuzzy systems is presented. Combining objective geodetic indicators with fuzzy systems gives a powerful tool for the assessment of geodetic landslide monitoring data. The example of a landsliding area shows the applicability of the algorithm.  

Research on Environment Materials with Variation Rule and Characteristic of Air Pollutants in Nanchang City

2014 ◽  
Vol 540 ◽  
pp. 247-250
Author(s):  
Xi Feng Yan ◽  
Jing Lan Wang ◽  
You Hua Zhou ◽  
Feng Liu
Keyword(s):  
Correlation Analysis ◽  
Diurnal Variation ◽  
Air Pollutants ◽  
Air Pollutant ◽  
Monitoring Data ◽  
Annual Variability ◽  
Changing Trends ◽  
Variation Rule

An analysis of the change regularity of the air pollutant in Nanchang city in this paper. According to the monitoring data of SO2, NO2 and PM10 from 1996 to 2012,the time characteristics and causes of SO2, NO2 and PM10 pollution were analyzed ,and the changing trends of the concentration of SO2, NO2 and PM10 in17 years were described by using Correlation analysis. The result shows that Nanchang air pollutants have the characteristics of obvious inter-annual variability, Rose and diurnal variation.

Analysis of Acid Rain and the Main Effect Factors in Nanchang City

2014 ◽  
Vol 1078 ◽  
pp. 154-157
Author(s):  
Xi Feng Yan ◽  
Jing Lan Wang ◽  
You Hua Zhou ◽  
Feng Liu
Keyword(s):  
Correlation Analysis ◽  
Diurnal Variation ◽  
Acid Rain ◽  
Air Pollutants ◽  
Monitoring Data ◽  
Effect Factors ◽  
Annual Variability ◽  
Changing Trends ◽  
Main Effect

The performance of acid rain at Nanchang, China was studied in this paper. According to the monitoring data of rain from 2003 to 2012, the time characteristics and causes of the acid rain were analyzed, and the changing trends of the concentration in10 years were described by using Correlation analysis. The result shows that Nanchang air pollutants have the characteristics of obvious inter-annual variability, Rose and diurnal variation.

Fractal Characteristics of Motion Trace Curve of Landslide Monitoring Points

2011 ◽  
Vol 90-93 ◽  
pp. 1285-1290 ◽  
Author(s):  
Xian Ming Hu ◽  
E Chuan Yan ◽  
Kun Lv ◽  
Ting Ting Zhang
Keyword(s):  
Fractal Theory ◽  
Fractal Dimensions ◽  
Monitoring Data ◽  
Movement Direction ◽  
Landslide Monitoring ◽  
Box Dimension ◽  
Monitoring Point ◽  
Fractal Characteristics ◽  
Landslide Development ◽  
Effective Use

According to the analysis of the landslide monitoring data, it is revealed that the amount of the cumulative displacement of the landslide depends on the monitoring cycle. And the trajectory curve of monitoring point has the fractal characteristics. The fractal dimension of the landslide internal points’ movement direction is various with the landslide development, which is decreased from the generation to the deformation and then to the damage. Meanwhile, based on the fractal boxing counting theorem, the program in Matlab is created to calculate the box dimension of the curve. Take a reviving landslide in Three-Gorge as an example, the fractal dimensions of the surface GPS monitoring points’ trajectory curves from 2007 to 2009 are obtained, and the dimension of each point is close to 1. The result indicates that this landslide is in the plastic deformation stage. It is the same with the landslide actual deformation. Therefore, the fractal theory has a great significance in the effective use of the monitoring data, the reorganization of the evolving stage and the prediction of the deformation trend for the landslide.

Deformation Monitoring Data De-Noising Processing Based on Wavelet Packet

2012 ◽  
Vol 166-169 ◽  
pp. 1180-1186 ◽  
Author(s):  
Yan Mei Yang ◽  
Ze Gen Wang ◽  
Yu Yun Gao ◽  
Fa Peng Gao
Keyword(s):  
Wavelet Packet ◽  
Low Frequency ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Local Analysis ◽  
Landslide Monitoring ◽  
Minimum Entropy ◽  
Mathematical Methods ◽  
Lower Amplitude ◽  
Unbiased Risk

Wavelet packet coefficients carrying real signals have large amplitude but are in minority, while those carrying noise has lower amplitude but is of large number. In this case, the Basic principle of de-noising wavelet packet is to process signals carrying noise. A suitable threshold is chosen in different decomposition level. Wavelet packet coefficient of less than this threshold is set to equal zero, while wavelet packet coefficients of greater than this threshold is reserved and reconstructed into de-noising signals. MSE, SNR, PSNR are regarded as the standards of de-noising evaluation, some mathematical methods such as Shannon entropy, norm entropy, logarithm energy entropy, threshold entropy, Stein Unbiased Risk Estimate entropy are adopted to measure whether the wavelet packet basis is optimal , minimum Entropy function D value is the best base. Selecting threshold and threshold quantitative is the key to wavelet packet de-noising. And selection of threshold value abides standards such as Sqtwolog, Rigrsure, Heursure, Manimaxi, or Birge-massart. Wavelet packet de-noising method has been applied to tunnel vault sink and landslide monitoring data de-noising processing, which manifests itself being a more elaborate, flexible method compared to wavelet de-noising, since wavelet packet de-noising can even subdivided the low-frequency part and the high-frequency part of upper layer, thus entertains a more precise local analysis capabilities.

The Research of Landslide Monitoring Data Integration Framework Based on Three-Dimensional WebGIS

2014 ◽  
Vol 694 ◽  
pp. 436-441
Author(s):  
Jun Qiang Zhang ◽  
Chong Long Wu ◽  
Jun Qing Fan
Keyword(s):  
Three Dimensional ◽  
Monitoring Data ◽  
Sensor Data ◽  
Landslide Monitoring ◽  
Visual Interpretation ◽  
Source Information ◽  
Seamless Integration ◽  
Integration Framework ◽  
Huangtupo Landslide ◽  
The Stability

In this paper, three-dimensional integration framework of landslide monitoring data was proposed in the idea of mineral point-source information system and the WebGIS technology based on ActiveX. Seamless integration of data related to landslide monitoring,such as basic geographic data, geological survey data and sensor data was realized. In this process, program algorithm automatically handled method and visual interpretation in three-dimensional environment were used to improve the accuracy of landslide monitoring data. Furthermore，the suitability of landslide monitoring database was improved by separating landslide monitoring data from prediction mathematical model. All this provides the excellent basis for the stability evaluation and forecast of landslide. The monitoringproject of HuangTuPo landslide in Three Gorges Reservoir of China was taken as example to verify feasibility of the method.

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