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  4. Vol 7, Issue 1, 2024

An Alternative Fast Seismic Site Classification Method Based on Geological Maps: A Case Study in Shandong Province, North China

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DOI: 10.23977/geors.2024.070103 | Downloads: 4 | Views: 141

Author(s)

Zhiheng Li 1,2, Hongtai Xu 1, Chengyu Liu 1, Hongwei Wang 1, Yulong Zhang 1

Affiliation(s)

1 Shandong Earthquake Agency, Ji'nan, 250014, China
2 Institute of Geophysics, China Earthquake Administration, Beijing, 100081, China

Corresponding Author

Hongtai Xu

ABSTRACT

We propose an alternative fast seismic site classification method here based on geological maps. Geological maps contain a large amount of geological information, such as rock hardness, geologic age, and Quaternary sediment genesis, which may build links for seismic site classification. In this paper, a workflow for rapid seismic site categorization was established by taking Shandong Province in China as an example. Based on the database constructed by extracting relevant information from geological maps, this paper presents the specific rules for seismic site classification. Firstly, rock hardness was considered as a first-level criterion for the direct classification of Class I and Class II sites. Then, for sites that cannot be directly classified by rock hardness, the geological age and Quaternary sedimentary genesis are used as the second level of criteria to classify the sites. Further, the collected borehole data verifies the accuracy of the seismic site classification results. Our method provides a new perspective for rapid seismic site categorization, and in particular, can be used in an area where no actual drilling has taken place.

KEYWORDS

Geologic age, Quaternary Sediment type, Borehole data, Site classification

CITE THIS PAPER

Zhiheng Li, Hongtai Xu, Chengyu Liu, Hongwei Wang, Yulong Zhang, An Alternative Fast Seismic Site Classification Method Based on Geological Maps: A Case Study in Shandong Province, North China. Geoscience and Remote Sensing (2024) Vol. 7: 24-34. DOI: http://dx.doi.org/10.23977/geors.2024.070103.

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