The factors affecting permeability change under repeated mining of coal seams are important study aspects that need to be explored. This study combined various stress variation characteristics of protective seam mining and simplified the stress path of repeated mining in protective seam mines. Based on the results from the bespoke gas flow and displacement testing apparatus, seepage tests for simulated repetitive mining were carried out. The results simulated the actual behavior very well. With any drastic increase in the mining influence, the axial deviation stress in the stress path increased, and the greater the difference in coal permeability during the unloading and stress recovery stage, the more substantial the increase in permeability. The change in coal permeability was significantly influenced by the severity of simulated repeated mining cycles. When the mining stress exceeded a critical value, the permeability of the coal sample increased with the increase in the number of loading and unloading cycles, but the reverse was true when the mining stress was lower than the critical value. The effective sensitivity of seepage to the applied stress decreased with an increase in the number of stress cycles. With a decrease in the deviation stress, that is, with lower severity of mining influence, the effective sensitivity of coal seepage to stress gradually decreased.
Natural Resources Research - The coal fire area in the Wuda coalfield is divided into four parts based on the degree of burning and on surface characteristics: sub-area B is characterized by... 相似文献
ABSTRACTBecause of the high elevation and complex topography of the Tibetan Plateau (TP), the role of lakes in the climate system over the Tibetan Plateau is not well understood. For this study, we investigated the impact of lake processes on local and regional climate using the Weather Research and Forecasting (WRF) model, which includes a one-dimensional physically based lake model. The first simulation with the WRF model was performed for the TP over the 2000–2010 period, and the second was carried out during the same period but with the lakes filled with nearby land-use types. Results with the lake simulation show that the model captures the spatial and temporal patterns of annual mean precipitation and temperature well over the TP. Through comparison of the two simulations, we found that the TP lakes mainly cool the near-surface air, inducing a decreasing sensible heat flux for the entire year. Meanwhile, stronger evaporation produced by the lakes is found in the fall. During the summer, the cooling effect of the lakes decreases precipitation in the surrounding area and generates anomalous circulation patterns. In conclusion, the TP lakes cool the near-surface atmosphere most of the time, weaken the sensible heat flux, and strengthen the latent heat flux, resulting in changes in mesoscale precipitation and regional-scale circulation. 相似文献
超过三分之二的地壳岩石是由来自深部的岩浆作用形成,岩浆岩记录的信息是深时数字地球(Deep-time Digital Earth,DDE)特别是深部过程研究的重要载体。岩浆岩分布范围广,样品众多,分析、定年相对方便和精确,易于数据累积。在过去的十多年,全球科学家建立了EarthChem、GEOROC、DataView等多个优秀的岩浆岩数据库。随着大数据时代的到来,地球科学也在经历向地球系统科学的重大转变。如何进一步整合分散在研究机构和个人手中的越来越多的数据,建立能服务大数据和人工智能方法的数据平台,推动地球科学研究由理论驱动的传统因果推理方法向数据驱动的大数据方法转变,是新的很有希望的突破点。文章系统介绍了目前国内外已有的岩浆岩相关数据库及其运行情况,为未来DDE计划整合全球海量岩浆岩数据,建设开放、共享、统一的大数据平台提供经验和基础。同时,也列举了以岩浆岩大数据驱动的科学研究的典型实例,并结合DDE相关任务,对利用岩浆岩大数据和人工智能进一步解决四维地球深部圈层物质构成、交换与动力学这一关键科学问题提出新的展望。 相似文献
