The Application Effect of Remote Sensing Technology in Hydrogeological Investigation under Big Data Environment

Wang, Honglei; Yang, Ronghang; Li, Zhao; Tian, Feng; Yu, Shizhong

doi:10.1155/2022/5162864

Cited by 6 publications

(1 citation statement)

References 26 publications

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Retracted: The Application Effect of Remote Sensing Technology in Hydrogeological Investigation under Big Data Environment

Sensors

2023

Journal of Sensors

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This article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of systematic manipulation of the publication and peer-review process. We cannot, therefore, vouch for the reliability or integrity of this article.Please note that this notice is intended solely to alert readers that the peer-review process of this article has been compromised.Wiley and Hindawi regret that the usual quality checks did not identify these issues before publication and have since put additional measures in place to safeguard research integrity.We wish to credit our Research Integrity and Research Publishing teams and anonymous and named external researchers and research integrity experts for contributing to this investigation.The corresponding author, as the representative of all authors, has been given the opportunity to register their agreement or disagreement to this retraction. We have kept a record of any response received.

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Retracted: The Application Effect of Remote Sensing Technology in Hydrogeological Investigation under Big Data Environment

Sensors

2023

Journal of Sensors

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Process and numerical simulation of landslide sliding caused by permafrost degradation and seasonal precipitation

Zhang,

Ma,

Shan

et al. 2024

Nat Hazards

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There are few types of research on the occurrence mechanism and deformation characteristics of landslides induced by permafrost degradation. With the aggravation of climate warming, landslides are more and more common in permafrost regions. A slow landslide (the K178 + 530 landslide) in the permafrost region of the Xiao Xing'an Mountains in Northeast China was monitored for a long time. The deformation characteristics and occurrence mechanism of the landslide were studied using eld investigation, on-site drilling, sensor monitoring, laboratory test, Google satellite image, unmanned aerial vehicle (UAV) photogrammetry, high-density electrical method, and ground-penetrating radar. In addition, a hydro-thermal-mechanical coupling model of frozen soil under saturated conditions was established to simulate the deformation process, pore water pressure change, and effective stress distribution of the slope, and the simulation results were veri ed according to the monitored data. The results show that the meltwater recharge caused by permafrost degradation reduced the cohesion and internal friction angle of the soil near the trailing edge of the landslide, thus providing dynamic and mechanical conditions for slope deformation. The melting of the continuous segregation ice in the active layer contributed to the formation of a sliding surface and provided deformation conditions for the start of the landslide. The combination of these two factors nally led to the occurrence of the landslide. According to its deformation mechanism, it can be judged that the landslide is a thrust-type landslide. In addition, the melting of ice lenses in the seasonally frozen layer is the main source of soil strength damage, and the landslide sliding rate reached the maximum when the ice lens melted completely. The K178 + 530 landslide is a typical case of landslides caused by permafrost degradation. This study provides a reference for the identi cation, early warning, and prevention measures of this type of landslide.

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Remote sensing insights into subsurface-surface relationships: Land Cover Analysis and Copper Deposits Exploration

Tshanga M,

Ncube,

van Niekerk

2024

Earth Sci Inform

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This review article examines the critical role of remote sensing techniques in analysing land cover and its implications for copper deposit exploration. The study aims to provide a comprehensive review of current research and technical advancements in using remote sensing to characterise land cover in copper-rich areas. It draws attention to the complex relationships that exist between subsurface copper mineralisation, surface vegetation, and soil types by combining case studies and modern literature. Integrating satellite imagery, geospatial data, and advanced analytical methods, this review demonstrates how remote sensing can effectively identify and map areas with high potential for copper deposits. Furthermore, it discusses the challenges and opportunities associated with remote sensing applications in geological studies and offers insights into future research directions to enhance mineral exploration and environmental management practices.

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The Application Effect of Remote Sensing Technology in Hydrogeological Investigation under Big Data Environment

Cited by 6 publications

References 26 publications

Retracted: The Application Effect of Remote Sensing Technology in Hydrogeological Investigation under Big Data Environment

Retracted: The Application Effect of Remote Sensing Technology in Hydrogeological Investigation under Big Data Environment

Process and numerical simulation of landslide sliding caused by permafrost degradation and seasonal precipitation

Remote sensing insights into subsurface-surface relationships: Land Cover Analysis and Copper Deposits Exploration

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