Investigation on the characteristics of overlying strata caving in the Chengchao Iron Mine, China

Deng, Yangyang; Chen, Congxin; Xia, Kaizong; Yang, Kuoyu; Sun, Chaoyi; Zheng, Xigui

doi:10.1007/s12665-018-7553-9

Cited by 22 publications

(8 citation statements)

References 33 publications

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“…On the other hand, Equations (6a) and (6b) reveal that the stability of surrounding rocks heavily depends on not only the rock strength (σ cd ) but also the stress due to caved rocks (σ b ). Equations (7a) and (7b) provide more details regarding the 4 Geofluids contribution of the caved rocks. Because of q > 0 and C > 0, the increase of the density (i.e., ρ b increases) or height (i.e., z 0 decrease) of caved rocks facilitates the stability of surrounding rocks.…”

Section: Impact Of Caved Rocks On Stability Of Cylindrical Cavedmentioning

confidence: 99%

“…The geological hazards due to mining-induced surface subsidence raise public concerns [1,2]. The employment of caving mining is restricted because of the surface subsidence [3,4], even though it is being favored in underground mining projects due to high cost efficiency [5]. On the other hand, in situ observations have demonstrated that the surface subsidence is likely to take place in open-stope-based mines [6], even in the filling-based ones [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Cylindrical Caved Space Stability Analysis for Extension Prediction of Mining-Induced Surface Subsidence

Liu

Zhang

et al. 2021

Geofluids

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Subsequent extension of surface subsidence after vertical caving leads to large-scale surface destruction, as well as associated geological hazards. The extension prediction for cylindrical caved space, which appears circular surface subsidence, is still an intractable issue, due to the absence of robust models. To fill such a research gap, this paper provides an analytical model for the depth and orientation where the shear failure of isotropic rocks around the caved space is firstly observed. The anisotropy of surrounding rocks is further involved to enable this model to analyze the slip failure along discontinuities in anisotropic stress state. The prediction for the extension of the surface subsidence in Xiaowanggou iron mine is conducted, and the comparison between the prediction and the observation in satellite images demonstrates the validity of the proposed model. Even though this model cannot provide a definite boundary after extension, the prediction for the orientation surface subsidence extends to contribute to mitigating the effect of geological hazards. Another contribution of this work is to provide guidance to mitigate the impact of surface subsidence on safety and environment, such as filling the interspace between large-sized caved rocks by dumping small-sized waste rocks or backfilling the caved space with waste rocks.

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Section: Impact Of Caved Rocks On Stability Of Cylindrical Cavedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cylindrical Caved Space Stability Analysis for Extension Prediction of Mining-Induced Surface Subsidence

Liu

Zhang

et al. 2021

Geofluids

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“…Slope factor is particularly important for the analysis of the source of heavy metals.土 The hot spots of Mn in the soil were distributed along the slope direction and tended to diffuse from the center to the periphery, and the slope of the hot spots of Pb was mostly between 10° and 25°. The results showed that heavy metals accumulated in slope soil to a certain extent under the influence of long-term soil erosion, slope runoff and slope gravity settlement (Deng and Chen et al, 2018)。…”

Section: Soil and Terrainmentioning

confidence: 99%

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Chen

Zhu

Cai

et al. 2021

Preprint

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In megacities, due to frequent human activities, large amounts of metals enter the soil indirectly or directly and eventually flow to people through the food chain. Therefore, the analysis and identification of soil heavy metal sources is an important part of revealing soil heavy metal pollution. The spatial content and potential sources of 11 heavy metals were analyzed from 342 surface soil samples collected from the central city of Chongqing in southwest China. The results showed that the main heavy metal elements under the first principal component loading were copper (Cu), nickel(Ni), zinc (Zn), manganese (Mn), cadmium (Cr),plumbum (Pb) and cadmium(Cd).The second principal component (F2) was mainly loaded with molybdenum (Mo), arsenic (As), mercury (Hg)and antimony (Sb), and the PCA-APCs receptor model of 11 heavy metals was constructed. The PCA-APCs receptor models of 11 heavy metals were constructed. The results of classification regression analysis confirmed the main sources of heavy metals. Population density mainly affected Cu (0.539), soil mainly affected Ni (0.411), Sb (0.493), Zn (0.472) and Mn (0.206), and water quality mainly affected As(0.453) and Mo (0.374). Air quality mainly affects Cd (0.332) and Cr (0.371), traffic activity mainly affects Hg (0.312), and slope mainly affects Pb (0.313). Hot spot analysis showed that heavy metals had a high degree of coincidence with environmental factors such as soil parent material, slope, soil type and traffic activities. The results of this study can be effectively used to make scientific decisions and strategies, and an effective strategy for prevention and control of soil heavy metal pollution should be formulated to protect the urban soil environmental quality.

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“…The hot spots of Mn in the soil were distributed along the slope direction and tended to diffuse from the center to the periphery, and the slope of the hot spots of Pb was mostly between 10° and 25°. The results showed that heavy metals accumulated in slope soil to a certain extent under the influence of long-term soil erosion, slope runoff and slope gravity settlement (Deng and Chen et al, 2018)。…”

Section: Soil and Terrainmentioning

confidence: 99%

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Chen

Zhu

Cai

et al. 2021

Preprint

View full text Add to dashboard Cite

In megacities, due to frequent human activities, large amounts of metals enter the soil indirectly or directly and eventually flow to people through the food chain. Therefore, the analysis and identification of soil heavy metal sources is an important part of revealing soil heavy metal pollution. The spatial content and potential sources of 11 heavy metals were analyzed from 342 surface soil samples collected from the central city of Chongqing in southwest China. The results showed that the main heavy metal elements under the first principal component loading were copper (Cu), nickel(Ni), zinc (Zn), manganese (Mn), cadmium (Cr), plumbum (Pb) and cadmium (Cd). The second principal component (F2) was mainly loaded with molybdenum (Mo), arsenic (As), mercury (Hg) and antimony (Sb), and the PCA-APCs receptor model of 11 heavy metals was constructed. The PCA-APCs receptor models of 11 heavy metals were constructed. The results of classification regression analysis confirmed the main sources of heavy metals. Population density mainly affected Cu (0.539), soil mainly affected Ni (0.411), Sb (0.493), Zn (0.472) and Mn (0.206), and water quality mainly affected As (0.453) and Mo (0.374). Air quality mainly affects Cd (0.332) and Cr (0.371), traffic activity mainly affects Hg (0.312), and slope mainly affects Pb (0.313). Hot spot analysis showed that heavy metals had a high degree of coincidence with environmental factors such as soil parent material, slope, soil type and traffic activities. The results of this study can be effectively used to make scientific decisions and strategies, and an effective strategy for prevention and control of soil heavy metal pollution should be formulated to protect the urban soil environmental quality.

show abstract

Investigation on the characteristics of overlying strata caving in the Chengchao Iron Mine, China

Cited by 22 publications

References 33 publications

Cylindrical Caved Space Stability Analysis for Extension Prediction of Mining-Induced Surface Subsidence

Cylindrical Caved Space Stability Analysis for Extension Prediction of Mining-Induced Surface Subsidence

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

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