Mercury pollution in Wuchuan mercury mining area, Guizhou, Southwestern China: The impacts from large scale and artisanal mercury mining

2012 ◽  
Vol 42 ◽  
pp. 59-66 ◽  
Author(s):  
Ping Li ◽  
Xinbin Feng ◽  
Guangle Qiu ◽  
Lihai Shang ◽  
Shaofeng Wang
Chemosphere ◽  
2021 ◽  
Vol 269 ◽  
pp. 129387
Author(s):  
Qinhui Lu ◽  
Zhidong Xu ◽  
Xiaohang Xu ◽  
Lin Liu ◽  
Longchao Liang ◽  
...  

2008 ◽  
Vol 31 (6) ◽  
pp. 617-628 ◽  
Author(s):  
Yonghua Li ◽  
Linsheng Yang ◽  
Yanfang Ji ◽  
Hongfei Sun ◽  
Wuyi Wang

Minerals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 471
Author(s):  
Yidan Ding ◽  
Guoqing Ma ◽  
Shengqing Xiong ◽  
Haoran Wang

Gravity migration is a fast imaging technique based on the migration concept to obtain subsurface density distribution. For higher resolution of migration imaging results, we propose a 3D regularized focusing migration method that implements migration imaging of an entire gravity survey with a focusing stabilizer based on regularization theory. When determining the model parameters, the iterative direction is chosen as the conjugate migration direction, and the step size is selected on the basis of the Wolfe–Powell conditions. The model tests demonstrate that the proposed method can improve the resolution and precision of imaging results, especially for blocky structures. At the same time, the method has high computational efficiency, which allows rapid imaging for large-scale gravity data. It also has high stability in noisy conditions. The developed novel method is applied to interpret gravity data collected from the skarn-type iron deposits in Yucheng, Shandong province. Migration results show that the depth of the buried iron ore in this area is 750–1500 m, which is consistent with the drilling data. We also provide recommendations for further mineral exploration in the survey area. This method can be used to complete rapid global imaging of large mining areas and it provides important technical support for exploration of deep, concealed deposits.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2818
Author(s):  
Yujun Xu ◽  
Liqiang Ma ◽  
Yihe Yu

To better protect the ecological environment during large scale underground coal mining operations in the northwest of China, the authors have proposed a water-conservation coal mining (WCCM) method. This case study demonstrated the successful application of WCCM in the Yu-Shen mining area. Firstly, by using the analytic hierarchy process (AHP), the influencing factors of WCCM were identified and the identification model with a multilevel structure was developed, to determine the weight of each influencing factor. Based on this, the five maps: overburden thickness contour, stratigraphic structure map, water-rich zoning map of aquifers, aquiclude thickness contour and coal seam thickness contour, were analyzed and determined. This formed the basis for studying WCCM in the mining area. Using the geological conditions of the Yu-Shen mining area, the features of caved zone, water conductive fractured zone (WCFZ) and protective zone were studied. The equations for calculating the height of the “three zones” were proposed. Considering the hydrogeological condition of Yu-Shen mining area, the criteria were put forward to evaluate the impact of coal mining on groundwater, which were then used to determine the distribution of different impact levels. Using strata control theory, the mechanism and applicability of WCCM methods, including height-restricted mining, (partial) backfill mining and narrow strip mining, together with the applicable zone of these methods, were analyzed and identified. Under the guidance of “two zoning” (zoning based on coal mining’s impact level on groundwater and zoning based on applicability of WCCM methods), the WCCM practice was carried out in Yu-Shen mining area. The research findings will provide theoretical and practical instruction for the WCCM in the northwest mining area of China, which is important to reduce the impact of mining on surface and groundwater.


2010 ◽  
Vol 158 (10) ◽  
pp. 3103-3107 ◽  
Author(s):  
Lu Li ◽  
Feiyue Wang ◽  
Bo Meng ◽  
Marcos Lemes ◽  
Xinbin Feng ◽  
...  
Keyword(s):  

2020 ◽  
Vol 2 (2) ◽  
pp. 91-98
Author(s):  
Chun-Hong Du ◽  
Yong Huang ◽  
Jia-Fu Jiang ◽  
Zi-Hou Gao ◽  
Na Jia ◽  
...  

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