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首页> 外文期刊>Journal of Environmental Management >Real-time multi-level CO_2 concentration monitoring in vadose zone wells and the implication for detecting leakage events
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Real-time multi-level CO_2 concentration monitoring in vadose zone wells and the implication for detecting leakage events

机译:渗流层井中实时多级CO_2浓度监测及其对泄漏事件的检测意义

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摘要

Multi-level wells screened at different depths in the vadose zone were installed and used for CO2 and carbon isotope monitoring. Well CO2 time series data were collected along with subsurface and atmospheric parameters such as air pressure, temperature, wind speed, and moisture content. Our aim was to determine the natural factors affecting the variation of CO2 concentration and how the influence of these factors varies with time of day and seasons of the year. We were motivated to understand the cause and extent of CO2 natural fluctuations in vadose zone wells in order to separate natural variation from signals due to anthropogenic CO2 leaks anticipating future monitoring using these wells. Variations of seasonal mean and variance of CO2 concentrations at different depths seem to follow the diurnal trend of subsurface temperature changes that reflect the atmospheric temperature but with time delay and amplitude damping due to heat transport considerations. The temperature in the ground lags behind the change in the atmospheric temperature, thus, the deeper the depth, the longer the time delay and the smaller the amplitude of the change. Monitored seasonal variation as shown in Appendix A shows the temperature-dependent depth-dependent CO2 production in the soil zone indicating higher CO2 concentrations in the summer and fall seasons with high concentrations ranging between 10,990 and 51,600 ppm from spring to summer, and 40,100 and 17,760 ppm from fall to winter. As the temperature in the organic-rich topsoil layer changes from daytime to nighttime, the concentration of CO2 in the soils also changes dynamically in response to chemical and biological reactions. When a screened well is installed in the vadose zone the dynamic temporal and depth difference in CO2 production is further complicated by upward (out of the subsurface) or downward (into the subsurface) gas flow, which will amplify or attenuate the temporal and vertical biochemically produced differences. Nested wells screened at different depths in the vadose zone and wells fully screened through the vadose zone were used for comparison. In addition, experiments changing the well from open to surface air to sealed at the top were conducted. The flow rates of inhaled (downward) and exhaled (upward) gas were estimated based on multi-level monitoring data. Based on time-series monitoring data, we proposed a time-dependent conceptual model to explain the changes of CO2 concentration in wells. The conceptual model was tested through analytical model computations. This conceptual model of natural variation of CO2 will be helpful in utilizing the vadose zone well as a method for monitoring CO2 leakage from subsurface storage or anthropogenic CO2-producing activities.
机译:安装了在渗流带不同深度进行筛选的多口井,并将其用于二氧化碳和碳同位素监测。收集了CO2时间序列数据以及地下和大气参数,例如气压,温度,风速和水分含量。我们的目的是确定影响CO2浓度变化的自然因素,以及这些因素的影响如何随一天中的时间和一年中的季节而变化。我们有动机了解渗流带井中CO2自然波动的原因和程度,以便将人为CO2泄漏引起的自然变化与信号分离开来,从而期待将来使用这些井进行监测。在不同深度处,季节性平均值的变化和CO2浓度的变化似乎遵循反映地下温度的地下温度变化的昼夜趋势,但由于热传输的考虑,存在时间延迟和振幅衰减。地面温度滞后于大气温度的变化,因此深度越深,延迟时间越长,变化幅度越小。如附录A所示,受监测的季节变化显示土壤区域中与温度有关的深度与深度相关的CO2产生,表明夏季和秋季的CO2浓度较高,春季至夏季的高浓度范围为10990至51600 ppm,40,100至17,760从秋天到冬天的ppm。随着白天从白天到夜晚,富含有机物的表土层的温度发生变化,土壤中的CO2浓度也会根据化学和生物反应而动态变化。当在气孔带区安装了筛选井时,向上(从地下出来的)或向下(进入地下的)气流会进一步复杂化CO2产生的动态时间和深度差异,这会放大或减弱生物化学的时间和垂直方向产生差异。在渗流区不同深度筛选的嵌套孔和通过渗流区完全筛选的孔用于比较。此外,还进行了将井从露天改为地面空气再改为顶部密封的实验。根据多级监测数据估算吸入(向下)和呼出(向上)的气体流速。基于时间序列监测数据,我们提出了一个随时间变化的概念模型来解释井中二氧化碳浓度的变化。通过分析模型计算对概念模型进行了测试。这种二氧化碳自然变化的概念模型将有助于利用渗流带以及监测地下存储或人为产生二氧化碳活动中二氧化碳泄漏的方法。

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