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Development of Data Acquisition Software for Electromagnetic Instruments in Landslide Detection.

Authors :
Li, Bin
Xu, Qiang
Liu, Tian-Xiang
Cheng, Qiang
Tang, Min-gao
Zheng, Guang
Lei, Hang
Source :
Applied Geophysics: Bulletin of Chinese Geophysical Society. Mar2024, Vol. 21 Issue 1, p133-146. 14p.
Publication Year :
2024

Abstract

Rapid societal development and increased engineering construction have exacerbated the disturbance of the geological environment. The impact of extreme climatic factors has grown, leading to a surge in geological disasters, with landslides emerging as particularly significant. Consequently, fundamental research in geological disaster detection or monitoring necessitates an in-depth study of the physical phenomena accompanying landslides' development, evolution, and occurrence. Exploring the signal characteristics associated with landslides is crucial to indirectly understanding their development and change processes—a scientific question deserving thorough exploration. Despite this research's importance, there is a notable gap in the investigation of the key design and specific implementation of electromagnetic instruments tailored for landslide detection. This gap is particularly pronounced in designing and implementing data acquisition software for electromagnetic instruments. This interdisciplinary research draws on theoretical frameworks from embedded computer science, software engineering, digital signal processing technology, geophysics, and engineering geology. It focuses on developing specialized data acquisition application software for landslide detection or monitoring, contributing to the scientific understanding of landslide development and providing independent intellectual property in the electromagnetic wave signal detection field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16727975
Volume :
21
Issue :
1
Database :
Academic Search Index
Journal :
Applied Geophysics: Bulletin of Chinese Geophysical Society
Publication Type :
Academic Journal
Accession number :
176453217
Full Text :
https://doi.org/10.1007/s11770-024-1060-4