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Geohazards in mining areas are mainly ground subsidence, slope landslides and ground cracks, surface cover degradation and environmental ecological pattern destruction. The classification and rank of terrain slope and the feature area extraction of the slope are the important content for the correlation analysis with the geohazards. The slope classification and rank index system for soil and water conservation, land use and man-made ground disasters was analyzed. According to the characteristics of open pit and underground associated mining area, we comprehensively analyzed the spatial correlation between different ground disaster and terrain features and landform types, and propose a new slope ranking index, dividing slope zones and forming slope classification map. Especially slope area of 35-45 degrees and more than 45 degrees was extracted, and the relationship between regional geohazards and slope zone was analyzed. The application of terrestrial laser scanning technology to establish open-pit high precision digital elevation model, extraction of slope, slope type, gully density characteristic factor, topography factor data sets are established, and correlation analysis, to enhance disaster information content.
Zhang Jin. Slope ranking and geohazards correlation analysis for combined open-underground mining area. 2018, 1 .
AMA StyleZhang Jin. Slope ranking and geohazards correlation analysis for combined open-underground mining area. . 2018; ():1.
Chicago/Turabian StyleZhang Jin. 2018. "Slope ranking and geohazards correlation analysis for combined open-underground mining area." , no. : 1.
Geohazards in mining areas are mainly ground subsidence, slope landslides and ground cracks, surface cover degradation and environmental ecological pattern destruction. The classification and rank of terrain slope and the feature area extraction of the slope are the important content for the correlation analysis with the geohazards. The slope classification and rank index system for soil and water conservation, land use and man-made ground disasters was analyzed. According to the characteristics of open pit and underground associated mining area, we comprehensively analyzed the spatial correlation between different ground disaster and terrain features and landform types, and propose a new slope ranking index, dividing slope zones and forming slope classification map. Especially slope area of 35-45 degrees and more than 45 degrees was extracted, and the relationship between regional geohazards and slope zone was analyzed. The application of terrestrial laser scanning technology to establish open-pit high precision digital elevation model, extraction of slope, slope type, gully density characteristic factor, topography factor data sets are established, and correlation analysis, to enhance disaster information content.
Zhang Jin. Slope ranking and geohazards correlation analysis for combined open-underground mining area. 2018, 1 .
AMA StyleZhang Jin. Slope ranking and geohazards correlation analysis for combined open-underground mining area. . 2018; ():1.
Chicago/Turabian StyleZhang Jin. 2018. "Slope ranking and geohazards correlation analysis for combined open-underground mining area." , no. : 1.
Landslide susceptibility mapping is the first and most important step involved in landslide hazard assessment. The purpose of the present study is to compare three nonlinear approaches for landslide susceptibility mapping and test whether coal mining has a significant impact on landslide occurrence in coal mine areas. Landslide data collected by the Bureau of Land and Resources are represented by the X, Y coordinates of its central point; causative factors were calculated from topographic and geologic maps, as well as satellite imagery. The five-fold cross-validation method was adopted and the landslide/non-landslide datasets were randomly split into a ratio of 80:20. From this, five subsets for 20 times were acquired for training and validating models by GIS Geostatistical analysis methods, and all of the subsets were employed in a spatially balanced sample design. Three landslide models were built using support vector machine (SVM), logistic regression (LR), and artificial neural network (ANN) models by selecting the median of the performance measures. Then, the three fitted models were compared using the area under the receiver operating characteristics (ROC) curves (AUC) and the performance measures. The results show that the prediction accuracies are between 73.43% and 87.45% in the training stage, and 67.16% to 73.13% in the validating stage for the three models. AUCs vary from 0.807 to 0.906 and 0.753 to 0.944 in the two stages, respectively. Additionally, three landslide susceptibility maps were obtained by classifying the range of landslide probabilities into four classes representing low (0–0.02), medium (0.02–0.1), high (0.1–0.85), and very high (0.85–1) probabilities of landslides. For the distributions of landslide and area percentages under different susceptibility standards, the SVM model has more relative balance in the four classes compared to the LR and the ANN models. The result reveals that the SVM model possesses better prediction efficiency than the other two models. Furthermore, the five factors, including lithology, distance from the road, slope angle, elevation, and land-use types, are the most suitable conditioning factors for landslide susceptibility mapping in the study area. The mining disturbance factor has little contribution to all models, because the mining method in this area is underground mining, so the mining depth is too deep to affect the stability of the slopes.
Qiaomei Su; Jin Zhang; Shangmin Zhao; Li Wang; Jin Liu; Jianli Guo. Comparative Assessment of Three Nonlinear Approaches for Landslide Susceptibility Mapping in a Coal Mine Area. ISPRS International Journal of Geo-Information 2017, 6, 228 .
AMA StyleQiaomei Su, Jin Zhang, Shangmin Zhao, Li Wang, Jin Liu, Jianli Guo. Comparative Assessment of Three Nonlinear Approaches for Landslide Susceptibility Mapping in a Coal Mine Area. ISPRS International Journal of Geo-Information. 2017; 6 (7):228.
Chicago/Turabian StyleQiaomei Su; Jin Zhang; Shangmin Zhao; Li Wang; Jin Liu; Jianli Guo. 2017. "Comparative Assessment of Three Nonlinear Approaches for Landslide Susceptibility Mapping in a Coal Mine Area." ISPRS International Journal of Geo-Information 6, no. 7: 228.
Using enterprise GIS platform, spatial databases and modern information technology, building geo-spatial information service platform of digital mine which has the features of the data exchange service, enterprise GIS services, directory services, logging services, is key technology and application infrastructure for digital mine. Based on the support of geospatial information service platform of digital mine, the professional GIS application service adapter can be developed and the application supports related to mining application system can be realized. Using high-resolution satellite remote sensing data, the mine functional partition map and geographic grids can be divided, and the geographic grid parts, status and events of important features of the surface object were investigated and defined. The system architecture and technical characteristics of integrated spatial information service platform were analyzed firstly, which guarantee service ability of digital mine. The methods and applications of functional partition map for integrated management service platform were discussed which are the services scheme of digital mine. The application results indicated that digital mine upgrades and enhances the capability and range of mine surveying and mapping, and is of great significance for guarantee of efficient, green and intensive exploitation of mine.
Jin Zhang; Jie Xiao. Architecture and application of integrated spatial information service platform for digital mine. Transactions of Nonferrous Metals Society of China 2011, 21, s706 -s711.
AMA StyleJin Zhang, Jie Xiao. Architecture and application of integrated spatial information service platform for digital mine. Transactions of Nonferrous Metals Society of China. 2011; 21 ():s706-s711.
Chicago/Turabian StyleJin Zhang; Jie Xiao. 2011. "Architecture and application of integrated spatial information service platform for digital mine." Transactions of Nonferrous Metals Society of China 21, no. : s706-s711.
The buildings and structures of mines were monitored automatically using modern surveying technology. Through the analysis of the monitoring data, the deformation characteristics were found out from three aspects containing points, lines and regions, which play an important role in understanding the stable state of buildings and structures. The stability and deformation of monitoring points were analysed, and time-series data of monitoring points were denoised with wavelet analysis and Kalman filtering, and exponent function and periodic function were used to get the ideal deformation trend model of monitoring points. Through calculating the monitoring data obtained, analyzing the deformation trend, and cognizing the deformation regularity, it can better service mine safety production and decision-making.
Jie Xiao; Jin Zhang. Analysis and application of automatic deformation monitoring data for buildings and structures of mining area. Transactions of Nonferrous Metals Society of China 2011, 21, s516 -s522.
AMA StyleJie Xiao, Jin Zhang. Analysis and application of automatic deformation monitoring data for buildings and structures of mining area. Transactions of Nonferrous Metals Society of China. 2011; 21 ():s516-s522.
Chicago/Turabian StyleJie Xiao; Jin Zhang. 2011. "Analysis and application of automatic deformation monitoring data for buildings and structures of mining area." Transactions of Nonferrous Metals Society of China 21, no. : s516-s522.