توسعه بانک داده چندمرجعی حرکت زمین با تأکید بر روش‌های پالایش و ادغام رکوردهای ایران، ترکیه و PEER

مهدویان فرد, فرزاد; زارع, مهدی; زعفرانی, حمید; لبیب زاده, مجتبی

doi:10.30499/ijg.2026.558421.1733

توسعه بانک داده چندمرجعی حرکت زمین با تأکید بر روش‌های پالایش و ادغام رکوردهای ایران، ترکیه و PEER

مقالات آماده انتشار

نوع مقاله : مقاله پژوهشی‌

نویسندگان

فرزاد مهدویان فرد ¹

مهدی زارع ²

حمید زعفرانی ²

مجتبی لبیب زاده ³

¹ دانشجوی دکتری، پژوهشکده زلزله‌شناسی، پژوهشگاه بین المللی زلزله‌شناسی و مهندسی زلزله، تهران، ایران

² استاد، پژوهشکده زلزله‌شناسی، پژوهشگاه بین‌المللی زلزله‌شناسی و مهندسی زلزله، تهران، ایران

³ دانشیار، دانشکده مهندسی عمران و معماری، دانشگاه شهید چمران، اهواز، ایران

10.30499/ijg.2026.558421.1733

چکیده

هدف اصلی این مطالعه، بررسی جامع چالش‌ها و روش‌های پردازش و پالایش رکوردهای شتاب زمین‌لرزه و در نهایت، تدوین یک بانک داده معتبر و یکپارچه است. داده‌های مورد استفاده از سه منبع مختلف شامل رکوردهای ایران، ترکیه و بانک داده‌های بین‌المللی (PEER) در بازه زمانی 2024-1935 گردآوری شده‌اند. رکوردهای حرکت نیرومند زمین در ایران شامل ۱,۹۱۳ تاریخچه زمانی از 189 زمین‌لرزه با بزرگای گشتاوری بیش از 5 و در فواصل تا ۸۰ کیلومتر است. مجموعه داده‌های دیگر نیز شامل رکوردهای حرکت نیرومند زمین ترکیه (AFAD) شامل ۵۷۶ تاریخچه زمانی از ۹۹ زمین‌لرزه و همچنین ۱۱۶ زمین‌لرزه پوسته‌ای کم‌عمق از سراسر جهان از پایگاه دادهPEER است که شامل ۳,۱۱۴ تاریخچه زمانی با بزرگای گشتاوری بیش از ۵ و در فواصل حداکثر ۳۰ کیلومتر می‌باشند. در فرآیند پردازش رکوردها، ابتدا داده‌ها پاک‌سازی شده و رکوردهای ناقص یا معیوب (نظیر موارد دارای قطع در ثبت یا خطای دستگاه) حذف شده‌اند. سپس فیلتر اولیه‌ای به منظور حذف نویزهای ناخواسته اعمال گردیده است. در ادامه، تصحیح خط مبناء جهت رفع شیب‌های غیرواقعی تجمعی در مولفه‌های سرعت و جابجایی انجام گرفته است. علاوه بر این، نسبت سیگنال به نویز (SNR) در مرحله نهایی انتخاب رکوردها برآورد شده است. نتایج طیف‌های جابجایی بدست‌آمده مربوط به مراحل مختلف پردازش نشان می‌دهد که، در بازه تناوب‌های کوتاه و میانی (کمتر از 2 ثانیه)، اختلاف بین منحنی‌های طیف پاسخ جابجایی ناچیز بوده و طیف نسبت به مراحل مختلف پردازش حساسیت کمتری دارد و به طور کلی ترکیب مراحل اصلاح خط‌پایه و فیلترگذاری کم‌فرکانس علی‌الخصوص برای بازه تناوبی بلند (بیشتر از 2 ثانیه) تنها حالتی است که، طیفی پایدار و فاقد رشد مصنوعی را ارائه می‌دهد. بعلاوه اعمال همزمان یک فیلتر پایین‌گذر در کنار یک فیلتر بالاگذر (طیف پیشنهادی این مطالعه) می‌تواند پاسخ جابجایی در ناحیه بلندپریود را از نوسانات غیرواقعی و ناپایدار محافظت کند.

کلیدواژه‌ها

پردازش

تصحیح خط مبنا

فیلتر باتروورث

رکوردهای جنبش قوی زمین

طیف پاسخ جابجایی

موضوعات

زلزله شناسی

عنوان مقاله English

Constructing a multi-source ground motion data bank: methodology for cleaning and integrating Iran, Turkey, and PEER records

نویسندگان English

Farzad Mahdavianfard ¹

Mehdi Zare ²

Hamid Zafarani ²

Mojtaba Labibzadeh ³

¹ Ph.D., Student, International Institute of Earthquake Engineering and Seismology, Tehran, Iran

² Professor, International Institute of Earthquake Engineering and Seismology, Tehran, Iran

³ Associate Professor, Chamran University, Ahwaz, Iran

چکیده English

The primary objective of this study is to provide a comprehensive evaluation of the challenges and methodologies involved in processing and refining earthquake ground-motion records, ultimately leading to the development of a reliable and unified database. The data used in this research were compiled from three different sources, records from Iran, Turkey, and the international PEER database, covering the period from 1935 to 2024. The Iranian strong-motion dataset includes 1,913 time histories from 189 earthquakes with moment magnitudes greater than 5 and recorded at distances up to 80 km. The additional datasets consist of 576 time histories from 99 Turkish earthquakes (AFAD), as well as 116 shallow crustal earthquakes from around the world obtained from the PEER database, which together provide 3,114 time histories with moment magnitudes greater than 5 and recorded at distances of up to 30 km. In recent years, large databases such as NGA-West2 have provided a set of processed or semi-processed records that both provide a model for processing and are used as a source of records that can be used in regional studies. In many seismic regions, such as Iran, despite significant seismic activity, access to high-quality strong ground motion records, especially at high magnitudes (Mw > 6.5) and near-fault distances, remains limited. This data shortage causes response spectrum models or ground motion prediction relationships to be based on a small set of local data that are not statistically reliable. To overcome this limitation, one effective solution is to combine domestic (Iranian) data with records from neighboring countries, such as Turkey, and with international databases, such as PEER NGA-West2. During the record-processing workflow, the data were first cleaned, and incomplete or corrupted records (such as those with gaps or instrument malfunction) were removed. An initial filter was then applied to eliminate unwanted noise. Subsequently, baseline correction was performed to remove non-physical cumulative drifts in the velocity and displacement components. Furthermore, the signal-to-noise ratio (SNR) was estimated as the final criterion for record selection. Therefore, records with low SNR (weak signal or high noise) are eliminated. These steps lead to an integrated database of high-quality ground-motion records from these three sources, which can be used in future studies, such as seismic hazard analysis, seismic design, and numerical modeling. We included only healthy and valid records in the analysis to ensure the final results were sufficiently reliable. The processing results show that, within the short- and mid-period ranges, the differences between displacement response spectra are negligible, indicating limited sensitivity of the spectra to the processing approach used. The combination of baseline correction and low-frequency filtering appears to be the only approach that produces stable spectra across the entire period range, free from artificial long-period amplification. Additionally, applying a low-pass filter alongside a high-pass filter can effectively protect long-period displacement responses from non-physical oscillations.

کلیدواژه‌ها English

Processing

baseline correction

butterworth filter

strong ground motion records

displacement response spectrum

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