煤田火区地表二氧化碳的扩散受地表温度和风的影响

IF 4.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Junpeng Zhang, Haiyan Wang, Cheng Fan, Zhenning Fan, Haining Liang, Jian Zhang
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引用次数: 0

摘要

在煤田火灾初期,二氧化碳排放量相对较低,由于地表温度和风力的影响,检测土壤表层的二氧化碳浓度具有挑战性。研究地表温度和风力条件下的二氧化碳浓度变化,可为选择最佳采样位置和时间提供实验证据和理论依据。本研究利用浅层土壤二氧化碳自动监测平台,分析了地表风速和温度对地表砂层二氧化碳气体扩散的影响。实验研究了地表风速和温度对浅层地表不同深度二氧化碳浓度增长的影响。当地表温度比环境温度高 40 ℃ 时,在高地表温度条件下,渗透率为 2.13 × 10-9 m2 的粗砂的 CO2 浓度下降最为显著。然而,高表面温度对渗透率为 1.1 × 10-12 m2 的细砂的影响并不明显。中等渗透率的粗砂最容易受到地表风速波动的影响。与自然对流条件相比,地表下风侧 22 厘米深处粗砂的地表二氧化碳浓度降低了 93%。相比之下,在小风速条件下,上风侧的二氧化碳浓度降低了 37.5%。与小风速条件相比,高温和风速对地表的耦合效应对细沙和中沙的扰动深度更大。此外,在低温探测期,探测地表浅层二氧化碳浓度对火源定位更有利。为了描述地表的气体扩散情况,我们建立了数学和物理方程。结合实验和模拟理论,利用风速和温度来预测浅表气体的渗透深度。当使用高渗透性的中砂和粗砂时,温度扰动浅表气体的临界达西-雷利数约为 6.3。模拟结果表明,结合实验,在地表风速约为 0.4 米/秒的条件下,粗砂的风致渗透深度为 40.8 厘米,中砂的风致渗透深度为 23.5 厘米。在地表风速较低的条件下,特别是在高孔隙率的上覆介质中,有必要至少在 23.5 厘米的深度检测二氧化碳浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Diffusion of Surface CO2 in Coalfield Fire Areas by Surface Temperature and Wind

Diffusion of Surface CO2 in Coalfield Fire Areas by Surface Temperature and Wind

In the early stages of a coalfield fire, CO2 emissions are relatively low, and it is challenging to detect CO2 concentrations in the soil surface due to the impact of surface temperature and wind. Investigating CO2 concentration changes under surface temperature and wind conditions can provide experimental evidence and theoretical foundation for selecting optimal sampling locations and time. Using an automated monitoring platform for shallow soil CO2, this study analyzed how surface wind speed and temperature affect the diffusion of CO2 gas of surface sands. The effects of surface wind and temperature on CO2 concentrations growth at different depths of the shallow surface were studied experimentally. When the surface temperature was 40 ℃ higher than the ambient temperature, the decrease of CO2 concentrations for coarse sands with permeability of 2.13 × 10-9 m2 was most significant under high surface temperature conditions. However, the effect of high surface temperature on fine sands with permeability of 1.1 × 10-12 m2 was insignificant. Coarse sand with high medium permeability was most vulnerable to the fluctuation of surface wind speed. The surface CO2 concentrations decreased by 93% at a depth of 22 cm in the coarse sands on the downwind side of the surface compared to natural convection conditions. In comparison, the CO2 concentrations decreased by 37.5% on the upwind sides under small wind speeds. The coupling effect of high temperature and wind speed on the surface had a greater disturbance depth on fine and medium sands than low windy conditions. In addition, detecting shallow surface concentrations of CO2 for the localization of fire sources was more advantageous during low temperature detection periods. In order to describe gas diffusion at the surface, mathematical and physical equations were developed. A combination of experimental and simulation theory was used to predict the depth of penetration of shallow surface gas by wind speed and temperature. The critical Darcy–Rayleigh number for temperature disturbance to shallow surface gas was approximately 6.3 when using medium and coarse sands with high permeability. Simulations show that the wind-induced penetration depth was 40.8 cm for coarse sand and 23.5 cm for medium sand at a surface wind speed of about 0.4 m/s combined with the experiments. It is necessary to detect CO2 concentrations at least at depth of 23.5 cm in conditions of low surface wind speed, particularly in the overlying medium with high porosity.

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来源期刊
Natural Resources Research
Natural Resources Research Environmental Science-General Environmental Science
CiteScore
11.90
自引率
11.10%
发文量
151
期刊介绍: This journal publishes quantitative studies of natural (mainly but not limited to mineral) resources exploration, evaluation and exploitation, including environmental and risk-related aspects. Typical articles use geoscientific data or analyses to assess, test, or compare resource-related aspects. NRR covers a wide variety of resources including minerals, coal, hydrocarbon, geothermal, water, and vegetation. Case studies are welcome.
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