Publications

Chakraborty A, Goto H, & Sawada S (2023). Updating proxy-based site amplification map with in-situ data in Osaka, Japan: A Bayesian scheme based on Uncertainty Projected Mapping. Earthquake Spectra, 40(1), 113-142 LINK

Chakraborty A, & Goto H (2020). Visualizing data saturation process in mapping site amplification of earthquake ground motions. Journal of Natural Disaster Science, 40(2), 14-25. LINK

Chakraborty A, & Goto H (2018). A Bayesian model reflecting uncertainties on map resolutions with application to the study of site response variation. Geophysical Journal International, 214(3), 2264-2276. LINK

Eguchi H, Goto H, Kurima J, & Chakraborty A (2023). Comparisons with site amplifications and S-wave impedance of the uppermost surface layer at Soma city. Special Issue (Earthquake Engineering) Technical Report, Japanese Journal of JSCE, 79(13), 22-13041. (Japanese) LINK

Goto H, & Chakraborty A (2022). Visualizing spatial probability fields reflecting significant differences in neighboring values. Japan Society of Civil Engineering proceedings A1 (Structural/Earthquake Engineering),78(4), I-79-I-86. (Japanese) LINK

Chakraborty A, Ibrahim A, & Cruz AM (2018) A study of accident investigation methodologies applied to the Natech events during the 2011 Great East Japan earthquake. Journal of Loss Prevention in Process Industries, 51, 208-222. LINK

Chakraborty A, & Kotha SR (2024) Uncertainty projected mapping of site-response in Kanto basin of Japan, ESC 2024, 22-27 September, Corfu, Greece.

Kato K, Chakraborty A, Yamashita D, Otake R, Morikawa H (2024) Ambient vibration survey and 3D FEM analysis of a complex mountain: Understanding ridge effects on directional amplification, ESC 2024, 22-27 September, Corfu, Greece.

Chakraborty A, Goto H, & Sawada S (2024) Uncertainty Projected Mapping: A Bayesian tool for generating site response maps with statistically significant resolution, EGU 2024, EGU24-3720, 14-19 April, Vienna, Austria.

Chakraborty A, Goto H, & Sawada S (2022) Updating proxy-based site amplification map in Osaka, Japan with soil borehole data: A Bayesian updating scheme based on Uncertainty Projected Mapping, AGU 2022, S45B-08, 12-16 December, Chicago, USA.

Chakraborty A, & Goto H (2021) Visualizing data saturation in geospatial mapping with application to earthquake engineering, Proceedings of WCEE 2020-2, 1d-0004, 27 September – 2 October, Sendai, Japan.

Goto H, & Chakraborty A (2021) Uniform Uncertainty Mapping Application to Seismology and Earthquake Engineering Problems, AGU 2021, S15B-0251, 13-17 December, New Orleans, USA.

Goto H, Hirai T, Eguchi T, Nakamoto M, Chakraborty A, & Yamashita D (2018) The 2018 Northern Osaka Earthquake Aftershock observation around Ibaraki City in Osaka, SSJ 2018, 9-11 October, Koriyama, Japan. (Japanese)

Chakraborty A, & Goto H (2018) A Bayesian methodology reflecting uncertainties on map resolutions with application to the study of site response variation, Recent Research Progress on Earthquake Engineering and Engineering Seismology, GNS Science, 19 March, Wellington, NZ.

Chakraborty A, & Goto H (2017) A Bayesian-based novel methodology to generate reliable site response mapping sensitive to data uncertainties, SSJ 2017, 25-27 October, Kagoshima, Japan. (Japanese)