Seismic risk assessment based on residential building stock and field survey results: a case study of 3 cities in Shanxi Province

IF 2 3区地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY

Frontiers in Earth Science Pub Date : 2024-09-02 DOI:10.3389/feart.2024.1424382

Qi Wenhua, Xia Chaoxu, Zhang Jie, Nie Gaozhong, Li Huayue

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引用次数: 0

Abstract

IntroductionBuildings that collapse or are damaged by earthquakes are responsible for the majority of earthquake-related casualties. High-precision building data are the key to improving the accuracy of risk assessments of earthquake disaster loss. Many countries and regions have also proposed varying regional building exposure models, but most of these models are still based on administrative-level (city or county) statistical data; furthermore, they cannot accurately reflect the differences among buildings in different towns or villages.MethodsAlthough field investigation-based “township to township” methods can obtain more accurate building inventory data, considering costs and timeliness, remote sensing and other diverse data should be combined to acquire building data. Based on the field survey data of three cities in shanxi Province, combined with Global Human Settlement Layer (GHSL) data, this study is conducted on building inventory data. Data regarding the proportion of each building type and corresponding lethality level in each township are obtained based on the classification of building height, and the overall lethality level at the building level and township level is calculated on this basis.ResultsThe fitting results between the calculated results and the field survey results are good, the error is within 0.15, and the fitting R2 values of Xian, Baoji and Ankang are 0.6552, 0.5788 and 0.5937, respectively. Therefore, an earthquake disaster loss risk assessment is conducted based on the building level.DiscussionThe findings indicate that the risk of casualties caused by the same building type can vary by city. Generally, the areas with high disaster loss risk in the three cities are distributed mainly in urban areas; the disaster loss risk in the newly built areas of each city is relatively low. According to the quantitative assessment results for each city, Xi’an has the highest loss risk, while Baoji and Ankang have the same loss risk. Based on the method constructed in this paper, we can realize the quantitative assessment of earthquake disaster loss risk at the building level to better target pre-earthquake emergency preparation and post-earthquake auxiliary decision-making.

查看原文本刊更多论文

基于住宅建筑存量和实地调查结果的地震风险评估：山西省 3 个城市的案例研究

导言因地震倒塌或损坏的建筑物是造成地震相关伤亡的主要原因。高精度的建筑物数据是提高地震灾害损失风险评估准确性的关键。许多国家和地区也提出了不同的区域建筑物暴露模型，但这些模型大多仍基于行政级别（市或县）的统计数据，而且无法准确反映不同乡镇或村庄建筑物之间的差异。方法虽然基于实地调查的 "乡镇到乡镇 "方法可以获得更准确的建筑物清单数据，但考虑到成本和时效性，应结合遥感和其他多样化数据来获取建筑物数据。本研究以山西省三个城市的实地调查数据为基础，结合全球人类住区图层（GHSL）数据，对建筑物清查数据进行了研究。结果计算结果与实地调查结果拟合效果良好，误差在 0.15 以内，西安、宝鸡和安康的拟合 R2 值分别为 0.6552、0.5788 和 0.5937。因此，地震灾害损失风险评估是基于建筑物级别进行的。一般来说，三个城市中灾害损失风险较高的地区主要分布在城区，而各城市新建地区的灾害损失风险相对较低。根据各城市的定量评估结果，西安的损失风险最高，宝鸡和安康的损失风险相同。基于本文构建的方法，我们可以实现建筑物层面的地震灾害损失风险定量评估，从而更有针对性地进行震前应急准备和震后辅助决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Earth Science Earth and Planetary Sciences-General Earth and Planetary Sciences

CiteScore

3.50

自引率

10.30%

发文量

2076

审稿时长

12 weeks

期刊介绍： Frontiers in Earth Science is an open-access journal that aims to bring together and publish on a single platform the best research dedicated to our planet. This platform hosts the rapidly growing and continuously expanding domains in Earth Science, involving the lithosphere (including the geosciences spectrum), the hydrosphere (including marine geosciences and hydrology, complementing the existing Frontiers journal on Marine Science) and the atmosphere (including meteorology and climatology). As such, Frontiers in Earth Science focuses on the countless processes operating within and among the major spheres constituting our planet. In turn, the understanding of these processes provides the theoretical background to better use the available resources and to face the major environmental challenges (including earthquakes, tsunamis, eruptions, floods, landslides, climate changes, extreme meteorological events): this is where interdependent processes meet, requiring a holistic view to better live on and with our planet. The journal welcomes outstanding contributions in any domain of Earth Science. The open-access model developed by Frontiers offers a fast, efficient, timely and dynamic alternative to traditional publication formats. The journal has 20 specialty sections at the first tier, each acting as an independent journal with a full editorial board. The traditional peer-review process is adapted to guarantee fairness and efficiency using a thorough paperless process, with real-time author-reviewer-editor interactions, collaborative reviewer mandates to maximize quality, and reviewer disclosure after article acceptance. While maintaining a rigorous peer-review, this system allows for a process whereby accepted articles are published online on average 90 days after submission. General Commentary articles as well as Book Reviews in Frontiers in Earth Science are only accepted upon invitation.