Analysis of the variation of gravity measurement results by excavation and filling around gravity measurement points

Hanpeng Lu; Shupeng Li; Fengji Wang; Ruqing Wei

doi:10.1117/12.2667343

10 February 2023 Analysis of the variation of gravity measurement results by excavation and filling around gravity measurement points

Hanpeng Lu, Shupeng Li, Fengji Wang, Ruqing Wei

Author Affiliations +

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125521I (2023) https://doi.org/10.1117/12.2667343
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

In this paper, using data information from several gravity measurement points with significant variation in Shandong Province, combined with fieldwork and mathematical model calculations, the scientific conclusion that the change of gravity increases when filling or adding buildings near the measurement point and decreases when excavating near the measurement point is drawn, i.e., the addition or absence of mass around the measurement point has a certain influence on the regional gravity field. At the same time, the mathematical model calculation due to the taken density and other media parameters are only regional averages, the model calculated value and the actual mass increase or decrease caused by the gravity change has a certain deviation, can only roughly estimate its effect on the gravity change of the measurement point, but the study can make the gravity measurement value becomes relatively more reliable, and has practical significance for the in-depth analysis of the change of gravity observation data.

Citation Download Citation

Hanpeng Lu, Shupeng Li, Fengji Wang, and Ruqing Wei "Analysis of the variation of gravity measurement results by excavation and filling around gravity measurement points", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125521I (10 February 2023); https://doi.org/10.1117/12.2667343

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KEYWORDS

Buildings

Error analysis

Mathematical modeling

Soil science

Environmental sensing

Data modeling

Floods

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