Attenuation Relationship for Peak Horizontal Acceleration of Strong Ground Motion of Uttarakhand Region of Central Himalayas

Kumar, Pankaj; Chamoli, Bhanu Pratap; Kumar, Ashok; Gairola, Ajay

doi:10.1080/13632469.2019.1634161

Cited by 16 publications

(7 citation statements)

References 25 publications

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“…The EEW system laboratory effectively crafted the regional UEEWS by leveraging insights gained from other EEW systems worldwide. Following the completion of a pilot project titled 'Earthquake Early Warning System for North India' in 2017, the Uttarakhand government assumed responsibility for this initiative [93,120,121]. Instrumentation began to extend into the Kumaun region of Uttarakhand in mid-2017.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Uttarakhand State Earthquake Early Warning System: A Case Study of Himalayan Environment

Kumar,

Kamal,

Sharma

et al. 2024

Preprint

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High seismic activity in the Himalayas and the increasing urbanization of its surrounding areas in the northern Indian region pose significant threats to both lives and properties. To mitigate the risk of seismic events, an earthquake early warning system can be used in the region. This system would be particularly beneficial to cities and towns in the mountainous and foothill regions that are located near earthquake sources. The government and the science and engineering community have re-sponded to this call by establishing the Uttarakhand State Earthquake Early Warning System (UEEWS). The system became fully operational on August 4, 2021, after being launched by the government of Uttarakhand. The UEEWS includes 170 accelerometers in the seismogenic part of the Uttarakhand region of the Himalayas. Ground motion data is transmitted to a central server through a dedicated private telecommunication network 24 hours a day, seven days a week.The system is designed to issue warnings for moderate to high-magnitude earthquakes via a mobile application installed on users' devices and sirens installed in government-owned public buildings. The UEEWS has successfully issued alerts for light earthquakes that occurred in the instrumented region and warnings for moderate earthquakes that occurred in the vicinity of the instrumented area. This paper provides an overview of the design of the UEEWS, details of the instrumentation, adaptation of attributes and their relation to earthquake parameters, the operational flow of the system, and information about the dissemination of warnings

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Section: Discussionmentioning

confidence: 99%

“…[122]. It could be employed in analyzing seismic hazards in the region and formulating new ground-motion prediction equations [120,[123][124][125]. The developed system offers lead times ranging from seconds to tens of seconds to urban areas, towns, and rural villages within the state.…”

Section: Discussionmentioning

confidence: 99%

Uttarakhand State Earthquake Early Warning System: A Case Study of Himalayan Environment

Kumar,

Kamal,

Sharma

et al. 2024

Preprint

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“…Under this project, instrumentation of 84 Micro-Electro-Mechanical System (MEMS) accelerometers has been done in the Garhwal region of Uttarakhand (Chamoli et al, 2019;Kumar et al, 2021). These sensors are installed on the ground floor of governmentowned offices of Base Transceiver Station (BTS) of Bharat Sanchar Nigam Limited (BSNL) and Point of Presence (PoP) of State Wide Area Network (SWAN) available in the Garhwal region of Uttarakhand.…”

Section: Earthquake Dataset Used In H/v Spectral Ratio Analysismentioning

confidence: 99%

Site classification of seismic recording stations of Garhwal region of earthquake early warning system for Uttarakhand, India

Kumar

Pandey

Kamal

et al. 2022

Vietnam J. Earth Sci.

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Site classification is vital to carry out seismic hazard analysis of a region and get the damage patterns caused by earthquakes. In the present study, the ground motion of earthquakes recorded from 2015 to 2019 at 84 sites of the seismic network array of Earthquake Early Warning System for Uttarakhand are analyzed for site classification purposes. The predominant period from the mean horizontal to vertical spectral ratio curves was estimated. The classification schemes devised by Japan Road Association and National Earthquake Hazards Reduction Program are applied to classify the sites. Along with this, two other site classification indexes schemes are also applied for classification purposes. Data winnowing techniques are used over the ground motion records to pick out desirable quality records. Conclusively, the site class with the highest recurrence rate amongst the used methods is selected as the final class for that particular site. The effect of magnitude, distance and depth on horizontal to vertical spectral ratio are described and concluded that these factors do not significantly affect the ratio curves. The average horizontal to vertical spectral ratio curves obtained for all the sites matches well with the existing literature. The classification of a few sites are verified from the classification done by other methods in recent studies. It is evident from the results that the classification done in this study matches well with them.

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“…[1], oluşturduğu ivme azalım ilişkisinde depremin büyüklüğü, periyodu ve uzaklığına ek olarak zemin hakim titreşim periyodunu da kullanmıştır. Literatürdeki diğer ampirik bağıntılarda ise genellikle uzaklık (R) parametresi ile birlikte lokal büyüklük (ML) [2][3][4][5][6][7][8], yüzey dalgası büyüklük (MS) [9][10][11][12][13][14][15][16] veya moment büyüklük (Mw) parametrelerini [17][18][19][20][21][22][23] kullanılarak ivme azalım ilişkileri geliştirilmiştir. Diğer bazı araştırmacılar ise bu deprem parametrelerine zemin türüne [24][25] veya S dalga hızına (VS) bağlı olarak değişen bir zemin katsayısı [26][27][28][29] ilave ederek ya da VS30 (30m derinlik için S dalga hızının ağırlıklı ortalaması) veya buna bağlı bir katsayı kullanarak [30][31][32][33][34][35][36] ivme azalım ilişkileri geliştirmişlerdir.…”

Section: Introductionunclassified

Zemin ve Deprem Parametrelerinden İvme Azalım İlişkisi

Uyanık¹,

Ekin²,

Çoşkun³

2021

Deu Muhendislik Fakultesi Fen Ve Muhendislik

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ÖzBu çalışmada, mühendislik yapıları için önemli bir parametre olan ve depremde meydana gelen pik yatay yer ivme değeri tahmin edilmiştir. Yatay yer ivme değeri konusunda çalışan araştırmacıların çoğunluğu sadece deprem parametrelerini, çok azı ise zemin parametrelerinden bazılarını deneysel ilişkilerinde kullanmışlardır. Bilindiği üzere pik yatay yer ivme değeri yerin özelliklerine bağlı değişkenlik göstermektedir. Bu nedenle yapılan çalışmada hem zeminin dinamik parametrelerini hem de deprem parametrelerini kullanarak çok parametreli yeni bir ivme azalım ilişkisi elde edilmiştir. Bu ilişkide deprem parametreleri olarak depremin büyüklüğü, periyodu ve kaynak mesafesi ve zeminin dinamik parametreleri olarak da zeminin büyütmesi, hakim titreşim periyodu, 30m derinlik için P ve S dalga hızlarının ağırlıklı ortalamaları (Vp30 ve Vs30) kullanılmıştır. Bu kapsamda, dünyadaki farklı istasyonlardan elde edilen Mw=5.3-7.1 aralığındaki büyüklüklerde 152 adet deprem kaydının sonuçları ve istasyon yerinin dinamik parametrelerinden elde edilen verilerle veri seti oluşturulmuştur. Çalışma kapsamında geliştirilen deneysel azalım ilişkisi, literatürdeki diğer araştırmacıların deneysel ilişkileri ile karşılaştırılmış ve daha düşük RMSE hata elde edilmiştir.

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Attenuation Relationship for Peak Horizontal Acceleration of Strong Ground Motion of Uttarakhand Region of Central Himalayas

Cited by 16 publications

References 25 publications

Uttarakhand State Earthquake Early Warning System: A Case Study of Himalayan Environment

Uttarakhand State Earthquake Early Warning System: A Case Study of Himalayan Environment

Site classification of seismic recording stations of Garhwal region of earthquake early warning system for Uttarakhand, India

Zemin ve Deprem Parametrelerinden İvme Azalım İlişkisi

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