罗马尼亚久谷盆地煤炭开采对土地倾斜现象及倾斜距离的影响

M. Herbei, R. Herbei, F. Sala
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引用次数: 0

摘要

摘要本研究的目的是评价罗马尼亚久谷地区地表采煤的土地倾斜现象及其倾斜距离的次生效应。为了评估倾斜现象,通过两个考虑的元素(倾角- Lt,倾斜距离- Td),使用了16个控制点(CP1至CP16),其坐标在Stereographic 1970投影系统中测量,1975黑海高程系统在初始时刻(t0)和当前时刻(t1)。静态法采用GPS技术测量各控制点的高程。通过描述性统计分析,获得了记录值集的一般特征,并通过方差分析检验证实了数据的安全性和数据集中存在方差。通过对记录值的分析,得到了一个样条模型,该模型描述了在统计安全条件下(系数= 0.137302)Lt与Td的关系。通过回归分析,得到了在统计确定性条件下,Lt和Td随控制点(t0, t1)的X、Y、Z坐标变化的方程型模型(Td随Z0和Z1变化的R2 = 0.697, p=0.014);R2 = 0.722, p=0.0094的Td相对于X0和Z0)。根据PCA, PC1解释了61.303%的方差,PC2解释了38.697%的方差。聚类分析有助于在统计安全的条件下,根据控制点与所研究现象的相似性进行分组,从而获得基于欧几里得距离的树状图(Coph。相关系数= 0.957)。
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Assessment of the Tilt Phenomenon and the Tilt Distance of the Land as an Effect of Coal Mining, Jiu Valley Basin, Romania
Abstract The aim of the study was to evaluate the phenomenon of land tilting and the tilting distance as a secondary effect of surface coal mining in the Jiu Valley area, Romania. To evaluate the tilting phenomenon, through the two considered elements (inclination – Lt, tilting distance – Td) 16 control points (CP1 to CP16) were used whose coordinates were measured in the Stereographic 1970 projection system, the 1975 Black Sea elevation system at an initial moment (t0) and at the current moment (t1). The static method was used by GPS technology to measure the elevations of the control points. Through descriptive statistical analysis, a general characterization of the set of recorded values was obtained, and the ANOVA test confirmed the safety of the data and the presence of variance in the data set. From the analysis of the recorded values, a Spline type model was obtained that described the variation of Lt in relation to Td, under conditions of statistical safety ( ɛ¯ = 0.137302). Regression analysis facilitated the obtaining of equation-type models, which described the variation of Lt and Td in relation to the X, Y and Z coordinates of the control points (t0, t1), under conditions of statistical certainty (R2 = 0.697, p=0.014 for Td variation according to Z0 and Z1; R2 = 0.722, p=0.0094 for Td in relation to X0 and Z0). According to PCA, PC1 explained 61.303% of variance, and PC2 explained 38.697% of variance. The cluster analysis facilitated the obtaining of a dendrogram based on Euclidean distances, regarding the grouping based on the similarity of the control points in relation to the studied phenomenon, under conditions of statistical safety (Coph. corr.=0.957).
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