Ground Deformation Control In Ankara Batıkent Mesa Region: Metro Line Control

Hüseyin Yaşar; A. Hüsnü Eronat

Makale detayları

Ground Deformation Control In Ankara Batıkent Mesa Region: Metro Line Control

Yazarlar:

Hüseyin Yaşar | A. Hüsnü Eronat

Yayıncı:

Istanbul University

Ana Başlıklar:

Photogrammetry and Remote Sensing

Dergi:

International Journal of Environment and Geoinformatics Vol.10 Issue 3, pp.86-92

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001297675

pISSN:

2148-9173

Anahtar kelimeler:

Özet:

 Subway systems in large cities play a crucial role in enhancing the sustainability and livability levels of urban areas by offering a solution to heavy traffic and transportation problems. Subway tunnels are critical transportation infrastructures that are constructed to serve residential areas, and thus, they have a direct relationship with residential areas in terms of construction and operation. This study is designed to generate precise data by analyzing ground deformation of metro systems using the Persistent Scatterer PSI Interferometry method and utilizing free dataThe Batıkent-Törekent metro line in Ankara is identified with the M3 code. At the location where M3 metro passes, ground deformation has been detected. In the analysis of the relevant location, both ascending and descending Sentinel-1 satellite datasets were used. The StaMPS Stanford Method for Persistent ScatterersPSI approach was utilized in the study. It was found that the results obtained from the ascending datasets were more sensitive. Observations were made in two different periods using ascending datasets: 2015-2016 and 2017-2022. Deformations were observed in the Line of Sight LOS direction in the locations where rail systems and tunnels were present. Eight months after the observation, due to the ground deformation in the area, passenger safety was at risk, and a ground strengthening work was carried out, resulting in a 16-day shutdown of the metro system in this location. The results of this study provide concrete contributions to the literature on the possibility of accurate ground measurement using free data.

 Subway systems in large cities play a crucial role in enhancing the sustainability and livability levels of urban areas by offering a solution to heavy traffic and transportation problems. Subway tunnels are critical transportation infrastructures that are constructed to serve residential areas, and thus, they have a direct relationship with residential areas in terms of construction and operation. This study is designed to generate precise data by analyzing ground deformation of metro systems using the Persistent Scatterer PSI Interferometry method and utilizing free dataThe Batıkent-Törekent metro line in Ankara is identified with the M3 code. At the location where M3 metro passes, ground deformation has been detected. In the analysis of the relevant location, both ascending and descending Sentinel-1 satellite datasets were used. The StaMPS Stanford Method for Persistent ScatterersPSI approach was utilized in the study. It was found that the results obtained from the ascending datasets were more sensitive. Observations were made in two different periods using ascending datasets: 2015-2016 and 2017-2022. Deformations were observed in the Line of Sight LOS direction in the locations where rail systems and tunnels were present. Eight months after the observation, due to the ground deformation in the area, passenger safety was at risk, and a ground strengthening work was carried out, resulting in a 16-day shutdown of the metro system in this location. The results of this study provide concrete contributions to the literature on the possibility of accurate ground measurement using free data.

 Subway systems in large cities play a crucial role in enhancing the sustainability and livability levels of urban areas by offering a solution to heavy traffic and transportation problems. Subway tunnels are critical transportation infrastructures that are constructed to serve residential areas, and thus, they have a direct relationship with residential areas in terms of construction and operation. This study is designed to generate precise data by analyzing ground deformation of metro systems using the Persistent Scatterer PSI Interferometry method and utilizing free dataThe Batıkent-Törekent metro line in Ankara is identified with the M3 code. At the location where M3 metro passes, ground deformation has been detected. In the analysis of the relevant location, both ascending and descending Sentinel-1 satellite datasets were used. The StaMPS Stanford Method for Persistent ScatterersPSI approach was utilized in the study. It was found that the results obtained from the ascending datasets were more sensitive. Observations were made in two different periods using ascending datasets: 2015-2016 and 2017-2022. Deformations were observed in the Line of Sight LOS direction in the locations where rail systems and tunnels were present. Eight months after the observation, due to the ground deformation in the area, passenger safety was at risk, and a ground strengthening work was carried out, resulting in a 16-day shutdown of the metro system in this location. The results of this study provide concrete contributions to the literature on the possibility of accurate ground measurement using free data.

 Büyük şehirlerdeki metro sistemleri, ağır trafik ve ulaşım sorunlarına bir çözüm sunarak kentsel alanların sürdürülebilirlik ve yaşanabilirlik düzeylerini artırmada önemli bir rol oynar. Metro tünelleri, yerleşim bölgelerine hizmet etmek için inşa edilen kritik ulaşım altyapılarıdır ve bu nedenle inşaat ve işletme açısından yerleşim bölgeleriyle doğrudan ilişkilidir. Bu çalışma, Persistent Scatterer PSI Interferometri yöntemi kullanılarak metro sistemlerinin yer deformasyonunu analiz ederek ve ücretsiz verileri kullanarak hassas veri üretmek için tasarlanmıştır. Ankaradaki Batıkent-Törekent metro hattı M3 koduyla tanımlanmaktadır. M3 metro geçtiği konumda yer deformasyonu tespit edilmiştir. İlgili konumun analizinde hem yükselen hem de alçalan Sentinel-1 uydu verileri kullanılmıştır. Çalışmada, Stanford Method for Persistent Scatterers StaMPSPSI yaklaşımı kullanılmıştır. Yükselen veri setlerinden elde edilen sonuçların daha hassas olduğu bulunmuştur. Yükselen veri setleri kullanılarak iki farklı dönemde gözlemler yapılmıştır: 2015-2016 ve 2017-2022. Raylı sistemlerin ve tünellerin bulunduğu yerlerde Line of Sight LOS yönünde deformasyonlar gözlemlenmiştir. Gözlem yapıldıktan sekiz ay sonra, bölgedeki yer deformasyonu nedeniyle yolcu güvenliği risk altındaydı ve bu konumda bir zemin güçlendirme çalışması yapılarak metro sistemi 16 gün kapatılmıştır. Bu çalışmanın sonuçları, ücretsiz veri kullanarak doğru yer ölçümlerinin mümkün olabileceği konusundaki literatüre somut katkılar sağlamaktadır.

Makale detayları

Ground Deformation Control In Ankara Batıkent Mesa Region: Metro Line Control

Yazarlar:

Hüseyin Yaşar | A. Hüsnü Eronat

Yayıncı:

Istanbul University

Ana Başlıklar:

Photogrammetry and Remote Sensing

Dergi:

International Journal of Environment and Geoinformatics Vol.10 Issue 3, pp.86-92

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001297675

pISSN:

2148-9173

ground deformation

railway monitoring

Batıkent

time serieszemin deformasyonu

raylı sıstemler gözlemi

batıkent

zaman serisi

Sayı

Makale detayları

Yazarlar: Hüseyin Yaşar | A. Hüsnü Eronat

Yayıncı: Istanbul University

Ana Başlıklar: Photogrammetry and Remote Sensing

Dergi: International Journal of Environment and Geoinformatics Vol.10 Issue 3, pp.86-92

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001297675

pISSN: 2148-9173

Sayı

Yazarlar:

Hüseyin Yaşar | A. Hüsnü Eronat

Yayıncı:

Istanbul University

Ana Başlıklar:

Photogrammetry and Remote Sensing

Dergi:

International Journal of Environment and Geoinformatics Vol.10 Issue 3, pp.86-92

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001297675

pISSN:

2148-9173