Integrating physiographical and geophysical analyses for the remediation of a water-filled abandoned coal mining site in Chasnala Colliery, Jharkhand, India

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Rajwardhan Kumar, Amit Bera, Saurabh Srivastava, Sanjit Kumar Pal
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Abstract

This study explores the comprehensive approach of utilizing physiographical and geophysical electrical resistivity tomography (ERT) investigation to evaluate and address the challenges associated with abandoned, unplanned water-filled galleries in Chasnala Colliery, located in Jharkhand, India. The integrated methodologies facilitate a thorough examination of subsurface conditions, encompassing factors such as geological stability, hydrological fluctuations, and environmental considerations. Utilizing physiographical analysis is of utmost importance in identifying locations with potential risks and developing appropriate site-specific reclamation procedures in the study area. The ERT analysis has successfully confirmed the findings of the physiographical study, revealing the presence of five distinct underground galleries, namely, GL1, GL2, GL3, GL4, and GL5, that are likely submerged in water. These galleries establish connections between the underground spaces and the groundwater, as indicated by their low resistivity values of ~50 Ωm or less. The resistivity measurements exhibit variations that can be attributed to fluctuations in the underground water content. The Wenner, Schlumberger, and dipole–dipole arrays have adeptly discerned the existence of water-filled underground galleries with commendable accuracy. However, the joint array configuration stands out as the pre-eminent choice among these standards due to its unparalleled technical robustness. The findings concurred with the notable correlation between water-filled galleries’ spatial arrangement and shallow groundwater level. The integration of physiographical and ERT data improves the precision of subsurface characterization, facilitating informed decision-making for efficient water management and site rehabilitation in the context of opencast mining.

Abstract Image

综合生理学和地球物理学分析,修复印度恰尔肯德邦 Chasnala Colliery 的一个充水废弃煤矿矿址
本研究探讨了利用自然地理和地球物理电阻率层析成像 (ERT) 勘测的综合方法,以评估和解决印度恰尔肯德邦 Chasnala Colliery 未规划的废弃充水巷道所带来的挑战。综合方法有助于彻底检查地下条件,包括地质稳定性、水文波动和环境因素。利用地形分析对于确定潜在风险地点和制定针对研究区域的适当填海程序至关重要。ERT 分析成功地证实了地貌研究的结果,揭示了五条不同的地下通道,即 GL1、GL2、GL3、GL4 和 GL5,它们很可能淹没在水中。这些通道在地下空间和地下水之间建立了联系,其电阻率值较低,约为 50 Ωm 或更低。电阻率测量值的变化可归因于地下含水量的波动。温纳阵列、斯伦贝谢阵列和偶极-偶极阵列都能巧妙地辨别出地下水廊的存在,其精确度值得称赞。然而,联合阵列配置因其无与伦比的技术稳定性而成为这些标准中的最佳选择。研究结果表明,充水廊道的空间布局与浅层地下水位之间存在明显的相关性。地形数据和 ERT 数据的整合提高了地下特征描述的精确度,有助于在露天采矿的情况下为有效的水资源管理和场地恢复做出明智的决策。
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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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