Study on the Relationship between Hongmiao Mine Gas Emission and Atmospheric Pressure Change on

2012 ◽  
Vol 524-527 ◽  
pp. 739-742
Author(s):  
Xi Hua Zhou ◽  
Jian Yuan Zhao ◽  
Xian Wei Xu

Atmospheric pressure changes on the fully mechanized top-coal caving has very significant effect to gas emission produce, through discussion to the mine gas emission source,and analysis the actual measured data.Get the result:with the rise of the ground atmospheric pressure ,the mine gas emission is absolutely reduced,and gas changes in return flow is after atmospheric pressure changes 0.5-1h later. Summarized measures to the gas emission suddenly increased.To the coal mine has guiding significance for production safety.

2012 ◽  
Vol 616-618 ◽  
pp. 426-430
Author(s):  
Zuo Quan Li ◽  
Yin Shang Wei ◽  
Liang Song Guo

There are many factors that affect the gas emission in working face. To predict and prevent this kind of gas emission, the mainly sensitive factor should be filtered and detected from many influencing factors. Taken Dashuitou Mine for an example, the main influencing factor was analyzed by using Grey correlation theory, which was atmosphere pressure. Then, the relationship between atmosphere pressure and gas emission is studied with Statistics tools. It obtained some important conclusions, include the rule of Atmospheric pressure changes in working face during a day, rule of the gas underground changes in a day, rule of correlation statistical, concrete relation between atmospheric pressure and gas emission. It would be useful on disposing of gas emission risk.


1964 ◽  
Vol 31 (3) ◽  
pp. 303-313 ◽  
Author(s):  
C. C. Thiel ◽  
P. A. Clough ◽  
D. N. Akam

SummaryA method is described of measuring pressures in a teatcup assembly using strain gauge transducers and simultaneously following movement of the liner wall by means of a cine camera. In preliminary experiments with a narrow bore type liner it was found that pressures below the teat could vary during a single pulsation cycle from a few inches of mercury below atmospheric pressure (inHg vacuum) to as high as 25 inHg vacuum in the absence of an airbleed. Bleeding air into the barrel of the liner or into the clawpiece considerably reduced fluctuation in pressure, and the vacuum barely rose above the nominal milking vacuum of 15 inHg. Reducing the rate of change of pressure in the pulsation chamber did not greatly affect the maximum vacuum obtained. Opening and closing of the liner by pressure change in the pulsation chamber was under some conditions considerably delayed by the pressure conditions existing inside the liner.It is suggested that inertia effects of milk in the cluster and the natural frequency of the system are largely responsible for the observed pressure changes under the teat.


2011 ◽  
Vol 26 ◽  
pp. 1157-1167 ◽  
Author(s):  
Wei Chunrong ◽  
Xu Minqiang ◽  
Sun Jianhua ◽  
Li Xiang ◽  
Ji Chenrun

2012 ◽  
Vol 546-547 ◽  
pp. 3-7 ◽  
Author(s):  
Jia Tang Cheng ◽  
Hui Zhang

In order to improve the prediction accuracy and prediction speed of coal mine gas emission, ant colony algorithm combining with neural network is used for prediction models design. Choose an important factor influencing gas emission, establish of its neural network prediction model. Select the network mean square error as the objective function, through the ant colony algorithm iteration achieve optimal BP network weights, and use the optimized BP network for gas emission prediction. Simulation results show that the method has high fitting prediction accuracy.


2020 ◽  
Author(s):  
Lucas Pelascini ◽  
Philippe Steer ◽  
Laurent Longuevergne ◽  
Dimitri Lague

<p>Landslides are a complex phenomenon which triggering depends on both intrinsic properties of soils and rocks and external influences such as the action of weather conditions, or earthquakes. Around 6,000 landslides failed the 6<sup>th</sup> of September 2018 during the Mw 6.6 Hokkaido Eastern Iburi earthquake (Japan), one day after the typhoon Jebi hit the region. If the ground acceleration induced by the seismic waves likely played a major role in the triggering of these landslides, it is unclear how it compares to the respective role of rainfall and atmospheric pressure drop induced by the typhoon. The aim of this work is therefore to investigate the influence of weather conditions on landslide triggering, and more specifically to characterize the relative contributions of rainfall and atmospheric pressure changes on slope stability.</p><p>For this purpose, a simple model is developed to describe the two mechanisms and to compare their respective impact on slope stability. The model considers a homogeneous isotropic tilted infinite half-space in one dimension. Slope stability is estimated using a safety factor and a Mohr-Coulomb criterion. In the static case, groundwater is accounted for by adding an unconfined aquifer into the model. Analytical models based on diffusion equations have been used to describe the impact of rainfall and atmospheric pressure changes on slope stability (Iverson, 2000; Schulz, 2009). Extracting a response function from these models allows us to compute the stability change due to any rainfall or pressure time series. The model parameters are taken for a typical slope in Taiwan tilted with a 25° angle and with characteristics of a fully saturated loamy soil at 4 m depth and put under conditions similar to the Morakot typhoon, with more than 240 mm of rain on a 24 h period and an associate atmospheric pressure drop of 4 kPa.</p><p>Atmospheric pressure change and rainfall impacts the media in a very different way despite being associated to the same physical phenomenon, pressure diffusion. The atmospheric effect is instantaneous and directly affects the effective stress with a maximum of 4 kPa. This effect decreases over time while the pore pressure is adjusted to the atmosphere. The rainfall effect is delayed in time but has a greater impact on the effective stress, reaching 11.7 kPa almost 2 days after the end of the rainfall event. While atmospheric pressure does not change significantly the safety factor, it can exacerbate the effect of rainfall and advance the failure in time because of the respective temporal lag between the 2 processes.  Therefore, this study may lead to a better understanding of the effect of weather events such as typhoons on landslide triggering and slope stability. Our results call for revisiting in a more systematic approach the role of atmospheric pressure change on landslide triggering during extreme weather events. Because a 1D model may hide some effects associated to hillslope geometry, we then consider 2D numerical models which allow us to offer some first insights on slope stability during weather events, accounting for topography.</p>


2021 ◽  
Author(s):  
Lucas Pelascini ◽  
Philippe Steer ◽  
Laurent Longuevergne

<p>Landslides are one of the sources of natural hazards that cause damages and losses but also shapes the landscape. A better understanding the factors triggering or pre-conditioning landslide occurrence is therefore critical for risk assessment, with implications for hillslope erosion and landscape dynamics Triggering of catastrophic landslides is generally associated with events such as earthquakes or intense rainfalls. In Taiwan, a minimum of 22,705 landslides were reported during the typhoon Morakot in 2009 (Lin et al., 2011). Landslides triggered during storms are generally associated to the intensity and cumulated amount of rainfall, as water infiltration destabilize slopes (Iverson, 2000). However, a correlation has also been reported between slope stability and the change in atmospheric pressure (Schulz, 2009). Indeed, a change in air-pressure can lead in a readjustment in pore pressure, and cause fluid movements normal to the surface. The aim of this study is to characterize the effect of atmospheric pressure changes and define its specific contribution on slope stability when combined with rainfall</p><p>A 2-dimensional analytical model has been developed based on diffusion equations to describe the destabilization induced by water infiltration and atmospheric pressure changes induced by typhoons. As both mechanisms are function of pore pressure, and especially groundwater pore pressure, the water table within a finite-length hillslope is modelled using Townley’s (1995) analytical expression of water flow in a unconfined aquifer. The hillslope itself is a simple tilted half-space with a water divide at the top and a river at the toe forcing the water table to the surface. Slope stability is inferred through a safety factor computed using the coulomb criterion. Both rainfall infiltration and air pressure modify pore pressure through a diffusion process. While rainfall increases water table height and induce large increases in pore pressure within days or hours, , we show that atmospheric-induced pore pressure change is instantaneous and can occur even if the hillslope is fully saturated.</p><p>The model allows to separate the hillslope response into two regimes, upslope or downslope, where the destabilization is mainly linked to rainfall or to atmospheric pressure change, respectively.  Our results suggest that landslide occurring during storms in the downstream part of the hillslope are likely candidate for being triggered by atmospheric pressure change, in particular if the storm occurs with a humid initial condition. We show that the effect of atmospheric pressure changes is not negligible. On contrary, it is crucial to define the amplitude, timing and geometry of the hillslope instability, especially when combined to rainfall.</p>


2021 ◽  
Author(s):  
Lucas Pelascini ◽  
Philippe Steer ◽  
Maxime Mouyen ◽  
Laurent Longuevergne

Abstract. Landslides are often triggered by catastrophic events, among which earthquakes and rainfall are the most depicted. However, very few studies have focused on the effect of atmospheric pressure on slope stability, even though weather events such as typhoons are associated with significant atmospheric pressure changes. Indeed, both atmospheric pressure changes and rainfall-induced groundwater level change can generate pore pressure changes with similar amplitude. In this paper, we assess the respective impacts of atmospheric effects and rainfall over the stability of a hillslope. An analytical model of transient groundwater dynamics is developed to compute slope stability for finite hillslopes. Slope stability is evaluated through a safety factor based on the Mohr-Coulomb failure criterion. Both rainfall infiltration and atmospheric pressure variations, which impact slope stability by modifying the pore pressure of the media, are described by diffusion equations. The models have then been forced by weather data from different typhoons that were recorded over Taiwan. While rainfall infiltration can induce pore pressure change up to hundred kPa, its effects is delayed in time due to diffusion. To the contrary, atmospheric pressure change induces pore pressure changes not exceeding a few kPa, but its effect is instantaneous. Moreover, the effect of rainfall infiltration on slope stability decreases towards the toe of the hillslope and is cancelled where the water table reaches the surface, leaving atmospheric pressure change as the main driver of slope instability. This study allows for a better insight of slope stability through pore pressure analysis, and shows that atmospheric effects shouldn’t always be neglected.


2012 ◽  
Vol 538-541 ◽  
pp. 483-489
Author(s):  
Wen Li Bian ◽  
Jian Ping Cai

The best is to read these instructions and follow the outline of this text. The coal mine production safety is one of China's current problems to be solved, do a good job monitoring and control of underground gas and coal dust is a key link to achieve safety in production. In this paper, the programming model is used to find the best ventilation rate and then control the mine gas and coal dust concentration effectively. Based on “Coal Mine Safety Regulations” and characteristics of coal dust and gas explosion with the relationship of mutual influence, we come to the possibility of coal mine explosion hazard. Finally, with the linear regression knowledge, we figure out the relationship between the wind speed and concentration of gas and coal dust, then we express the gas density and dust concentration in different parts of the mine by air volume function, through the limit of safe production on the gas concentration and coal dust concentration, to find constraints on air volume, construct a linear programming model, finally get optimum ventilation rate and the optimal control method.


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