scholarly journals Effect of Shaft Pillar Extraction on Stability of Main Shaft: A Case Study at Xincheng Gold Mine, China

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Xige Liu ◽  
Wancheng Zhu ◽  
Kai Guan ◽  
Hongxun Zhang
Keyword(s):  
Numerical Simulation ◽  
Orthogonal Experiment ◽  
In Situ Monitoring ◽  
Gold Mine ◽  
Main Shaft ◽  
Displacement Monitoring ◽  
Ore Body ◽  
Main Factors

Mining of ore body in the vicinity of a shaft has a significant influence on its stability. The in situ monitoring and numerical simulation are employed to analyze the effect of shaft pillar extraction at Xincheng Gold Mine. The XI# ore body is recently found around and beneath the shaft, and mining in this area may be detrimental to the shaft. Firstly, on the base of geological survey and in situ displacement monitoring, mechanical parameters of rock mass are obtained and the displacement around the shaft is measured. Secondly, the sensitivities of five main factors that may affect the shaft displacement are analyzed by means of orthogonal experiment according to the numerical simulation with FLAC3D. Finally, a numerical model is established according to the in situ condition; in order to forecast the shaft displacement induced by mining activities of XI# orebody, the Mining Priority Index (MPI) is put forward and used to select the optimal mining sequence. Based on the comparison between the numerical results with the monitoring data, it is determined that the ore within 100 m from the shaft is not suggested to be extracted until the last period of the shaft life.

scholarly journals Environmental Technology Platform Architecture for In Situ Monitoring Forest Areas of Amazonian region – A case study in Maiandeua Island, Brazil

2016 ◽  
Vol 06 (08) ◽  
pp. 08-15
Author(s):  
Otavio Andre Chase ◽  
Andre das Neves Carvalho ◽  
Marcos Henrique Kumagai Sampaio ◽  
José Felipe Souza de Almeida ◽  
Carlos Tavares da Costa Junior
Keyword(s):  
In Situ Monitoring ◽  
Environmental Technology ◽  
Technology Platform ◽  
Platform Architecture ◽  
Amazonian Region

Sensory platform architecture for IN SITU monitoring the thermal comfort in rural environments – The case study at Federal Rural University of Amazonian, Brazil

Measurement ◽  
2014 ◽  
Vol 58 ◽  
pp. 294-300 ◽  
Author(s):  
Otavio Andre Chase ◽  
José Felipe Sousa de Almeida ◽  
Jorge Roberto Brito de Souza ◽  
Carlos Tavares da Costa Junior
Keyword(s):  
Thermal Comfort ◽  
In Situ Monitoring ◽  
Platform Architecture ◽  
Rural Environments ◽  
Amazonian Brazil

scholarly journals Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite

2020 ◽  
Vol 13 (3) ◽  
pp. 1771-1785
Author(s):  
Scot M. Miller ◽  
Arvind K. Saibaba ◽  
Michael E. Trudeau ◽  
Marikate E. Mountain ◽  
Arlyn E. Andrews
Keyword(s):  
Greenhouse Gas ◽  
Inverse Modeling ◽  
Initial Guess ◽  
In Situ Monitoring ◽  
Co2 Fluxes ◽  
Gas Fluxes ◽  
Wide Range ◽  
Greenhouse Gas Fluxes

Abstract. Geostatistical inverse modeling (GIM) has become a common approach to estimating greenhouse gas fluxes at the Earth's surface using atmospheric observations. GIMs are unique relative to other commonly used approaches because they do not require a single emissions inventory or a bottom–up model to serve as an initial guess of the fluxes. Instead, a modeler can incorporate a wide range of environmental, economic, and/or land use data to estimate the fluxes. Traditionally, GIMs have been paired with in situ observations that number in the thousands or tens of thousands. However, the number of available atmospheric greenhouse gas observations has been increasing enormously as the number of satellites, airborne measurement campaigns, and in situ monitoring stations continues to increase. This era of prolific greenhouse gas observations presents computational and statistical challenges for inverse modeling frameworks that have traditionally been paired with a limited number of in situ monitoring sites. In this article, we discuss the challenges of estimating greenhouse gas fluxes using large atmospheric datasets with a particular focus on GIMs. We subsequently discuss several strategies for estimating the fluxes and quantifying uncertainties, strategies that are adapted from hydrology, applied math, or other academic fields and are compatible with a wide variety of atmospheric models. We further evaluate the accuracy and computational burden of each strategy using a synthetic CO2 case study based upon NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. Specifically, we simultaneously estimate a full year of 3-hourly CO2 fluxes across North America in one case study – a total of 9.4×106 unknown fluxes using 9.9×104 synthetic observations. The strategies discussed here provide accurate estimates of CO2 fluxes that are comparable to fluxes calculated directly or analytically. We are also able to approximate posterior uncertainties in the fluxes, but these approximations are, typically, an over- or underestimate depending upon the strategy employed and the degree of approximation required to make the calculations manageable.

scholarly journals Remote Sensing-Based Automatic Detection of Shoreline Position: A Case Study in Apulia Region

2021 ◽  
Vol 9 (6) ◽  
pp. 575
Author(s):  
Anna Spinosa ◽  
Alex Ziemba ◽  
Alessandra Saponieri ◽  
Leonardo Damiani ◽  
Ghada El Serafy
Keyword(s):  
Remote Sensing ◽  
European Space Agency ◽  
In Situ Monitoring ◽  
Shoreline Position ◽  
Automated Method ◽  
Position Detection ◽  
Space Agency ◽  
Societal Interest

Remote sensing and satellite imagery have become commonplace in efforts to monitor and model various biological and physical characteristics of the Earth. The land/water interface is a continually evolving landscape of high scientific and societal interest, making the mapping and monitoring thereof particularly important. This paper aims at describing a new automated method of shoreline position detection through the utilization of Synthetic Aperture Radar (SAR) images derived from European Space Agency satellites, specifically the operational SENTINEL Series. The resultant delineated shorelines are validated against those derived from video monitoring systems and in situ monitoring; a mean distance of 1 and a maximum of 3.5 pixels is found.

scholarly journals Rockburst Characteristics and Mechanisms during Steeply Inclined Thin Veins Mining: A Case Study in Zhazixi Antimony Mine, China

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Yuanjun Ma ◽  
Changwu Liu ◽  
Fan Wu ◽  
Xiaolong Li
Keyword(s):  
Numerical Simulation ◽  
Elastic Strain ◽  
Strain Energy ◽  
High Stress ◽  
Elastic Strain Energy ◽  
Compression Tests ◽  
High Stress Concentration ◽  
Mining Depth

With the increase of mining depth, rockbursts have become important safety problems in Zhazixi Antimony Mine, where overlying strata exceed 560 m. Due to the small spacing between the steeply inclined veins, mining activities have great influences on rockbursts of adjacent veins. In order to study rockburst characteristics and mechanisms in Zhazixi Antimony Mine, in situ measurement, field geological survey, uniaxial compression tests, and numerical simulation are conducted to analyze rockburst proneness and simulate the elastic strain energy accumulation characteristics. Consequently, rockburst proneness criteria are established on the basis of experimental results to propose the necessary lithologic conditions for rockburst aiming to Zhazixi Antimony Mine. Rockburst dangerous districts are defined based on high stress concentration and elastic strain energy distribution characteristics in mining process obtained by theory analysis and numerical simulation. Accordingly, it is suggested that thrown-type rockbursts mainly occur in massive stibnite of ventilation shafts and stopes where the elastic strain energy exceeds 300 kJ·m−3, spalling-type rockbursts generally appear in slate of roadways where the elastic strain energy exceeds 100 kJ·m−3, and ejection-type rockbursts arise in different rock masses under a certain condition. Last but not the least, prediction results are basically consistent with statistics data of rockburst events after comparative analysis.

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