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    Industrial Minerals & Processing

    Industrial Minerals & Processing

    JournalISSN 1008-7524

    年发文量

    研究主题

    论文(3685)

    排序
    1Analysis of Spatial-Temporal Variation and Driving Factors of Ecological Quality in Typical Mining Areas of Daye City

    Mastering the spatial IRSEtemporal variations of ecological quality in mining areas and the mechanism of driving factors is of great significance for the sustainable development of mines.Taking Daye City as an example,Two Landsat images from 2000 and 2019 were selected as the basic data sources.The improved remote sensing ecological index was used to evaluate the ecological quality and evolution characteristics of typical mining areas in Daye City.The geographic detector model was used to comprehensively analyze the interaction relationships between eight driving factors,including natural and human factors;On this basis,single factor analysis was conducted on mining activities,roads,and land use,respectively.The results show that:①In 2000 and 2019,the remote sensing ecological index(IRSE)of typical mining areas in Daye City is 0.59 and 0.63,respectively.The overall ecological quality changed from intermediate to good,and the spatial distribution of ecological quality show significant differences.The proportion of ecological quality grades of excellent and poor is increasing;②In general,land use,elevation,and residential areas are the dominant factors in the spatial heterogeneity of ecological quality distribution in the study area,and there is a dual factor or nonIRSElinear enhancement among the driving factors;From the local perspective,roads and mining activities have the significant negative impact on the surrounding ecological quality,and the degree of impact is increasing;③The geographical weighted regression analysis has a better fitting degree than ordinary univariate linear regression,and when the kernel density estimation(EKD)of mining land is greater than or equal to 0.2,the research scope includes the mining area and a certain buffer zone around it.At this time,the fitting degree and correlation coefficients of mining land EKD with IRSE and ΔIRSE reach their maximum values,indicating that mining land will have the significant impact on its own and surrounding ecological quality;④The impact of roads on the surrounding ecological quality exhibits similar gradient changes,with the comprehensive impact threshold of around 750 m;⑤From the perspective of land use change,the deterioration of ecological quality is mainly due to the expansion of urban and mining areas,the addition of new roads,and the transfer of cultivated land to impermeable layers.The improvement of ecological quality is mainly due to the conversion of farmland to forests and grasslands,and the abandonment of some cultivated land,which leads to its transfer to shrubs.

    2025
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    2Research on deep hole blasting mining technology for a phosphate mine in Guizhou Province
    Wang Dong

    With the change of mining conditions of the ore body of Datang Mine in Wengfu phosphate Mine,in order to meet the mining demand of phosphate rock resources,reduce the mining ratio and improve the mining efficiency,it is decided to adopt the VCR(large-diameter deep-hole stage open stope subsequent filling mining)method.By adjus-ting the blasting parameters to match the amount of explosives with the properties of the ore and rock,the rate of large blocks is reduced,and by sorting and removing waste rock and mining debris,the crushing and grinding cost is further reduced.The stope ventilation is made full use of the existing engineering,combined with mechanical ventila-tion and natural ventilation,with the negative pressure of the main air flow to achieve normal ventilation.In the process of ore transportation,comprehensive consideration of mining progress and transportation vehicle scheduling,flexible adjustment of mining production and transportation processes,so that ach process is coordinated and reasona-bly coordinated,providing efficient ore transportation as a guarantee for the mining,processing,and sales of mineral products.

    2023
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    3Application progress of attapulgite in the field of ceramics
    Wang Bailin,Huang Wanjun,Wang Ziqing,Yu Wentao,Min Yonggang

    Attapulgite is a kind of silicate clay mineral of water-rich and magnesium-rich with layered chain structure and regular pores in the structure.It is a natural one-dimensional nanomaterial with large surface area and strong adsorption,and has been widely used in the field of ceramics.The crystal structure and basic properties of attapulgite,including adsorption,catalytic,filling,colloidal and suspension,were briefly described;the structural evolution of attapulgite during heating was analyzed;The application of attapulgite in traditional ceramics and functional ceramics was reviewed,and its future research direction was prospected.

    2023
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    4Research progress of titanium extraction technology from titanium bearing blast furnace slag
    Zhang Qingsong,Gao Likun, Chen Xiaoming,Rao Bing,Wang Feiwang

    As one of the bulk solid wastes in China,titanium-containing blast-furnace slag not only occupies a lot of land resources and pollutes the environment,but also causes serious waste of resources due to the ineffective utilization of titanium resources and other valuable components.The properties of titanium-containing blast-furnace slag was summarized,and the principles,advantages and disadvantages of titanium extraction processes such as wet,fire and selective enrichment were reviewed.With the proposal of the dual-carbon goal,the new titanium extraction technology should combine the traditional method with the unconventional metallurgical technology,and develop in the direction of green environmental protection,economic efficiency and short process.

    2023
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    5Study on coking coal flotation model based on BP neural network
    Wan He,Zhou Kunqiang, Zhao Linfeng, Hu Xianglin, Wei Long

    In order to achieve the prediction of clean coal yield and ash mass fraction for different coking coal flota-tion,four types of coking coal in Ordos region were selected as research objects,and alkanes with carbon chain length of 8~16 were selected as collectors to conduct flotation experiments on the four types of coking coal;Using density,contact angle,ash mass fraction,collector carbon chain length,and collector dosage as input variables,and clean coal yield and ash mass fraction as output variables,BP neural network model was constructed using MATLAB to analyze the prediction error of the model.It was found that the clean coal yield model and ash mass fraction model converged quickly,achieving the set accuracy of 0.001 after 16 and 8 iterations,respectively,and the model error was small.The maximum error is 0.159 79%.Taking coking coal from a coal mine in Shenhua as a sample,the actual results of flotation yield and ash mass fraction were compared with the predicted results.The results showed that the prediction results of flotation yield and ash mass fraction were good,with an error of less than 5%for both,indicating high relia-bility of the model.The research results provide a new method for regulating the flotation indicators of coking coal.

    2023
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    高被引作者

    作者引用发文
    Huihua Luo23444
    HuaiChang Zheng23316
    Wenxiu Li21433
    ChuanJin Pu18821
    Cuihong Hou18627
    XiaoJun Zhang15410
    Ming Li1459
    Wang Guang-long13816
    Jianwei Tang13718
    WenQuan Yang13435

    高产作者

    作者引用发文
    Huihua Luo23444
    WenQuan Yang13435
    Wenxiu Li21433
    Jianlong Sheng8528
    Cuihong Hou18627
    JianTao Pang6827
    MengGuo Xu12626
    Tan Zhang12425
    Hua Zhang6824
    XingMing Chen8624

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