Earthquake Magnitude Conversion Problem

• DOI: 10.1785/0120170157
• Publication Date: 2018-04-17T12:37:31Z
• Authors: Ranjit Das; H. R. Wason; Gabriel Gonzalez; M. L. Sharma; Deepankar Choudhury; Conrad Lindholm; Narayan Roy; Pablo Salazar
• Keywords: New delhi

Research Article| April 17, 2018 Earthquake Magnitude Conversion Problem Ranjit Das; Das aNational Center for Integrated Natural Disaster Management, Avenue Vicuña Mackenna 4860, Macul, La Florida, Región Metropolitana Santiago, Chile, [e-mail] at Universidad Catolica del Norte, Avenida Angamos 0610, Antofagasta, Chile. Search other works by this author on: GSW Google Scholar H. R. Wason; Wason bEarthquake Engineering Department, Indian Institute of Technology Roorkee, Haridwar 247667, Uttarakhand, India Gabriel Gonzalez; Gonzalez cDepartamento de Ciencias Geológicas, Católica ChilehAlso National M. L. Sharma; Sharma Deepankar Choudhury; Choudhury dCivil Bombay, Powai, Mumbai 400076, Maharashtra, Conrad Lindholm; Lindholm eNorsar Gunnar, Renders Vei, 15N 2007 Kjeller, Norway Narayan Roy; Roy fCivil Jadavpur University Kolkata, 188, Raja S.C. Mallick Road, Kolkata 700032, West Bengal, Pablo Salazar Author and Article Information Publisher: Seismological Society America First Online: 26 Jul Online Issn: 1943-3573 Print 0037-1106 © Bulletin the (2018) 108 (4): 1995–2007. https://doi.org/10.1785/0120170157 history Cite View This Citation Add to Manager Share Icon Facebook Twitter LinkedIn MailTo Tools Get Permissions Site Das, Wason, Gonzalez, Sharma, Choudhury, Lindholm, Roy, Salazar; Problem. 2018;; doi: Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Dropdown Menu input auto suggest filter your All ContentBy SocietyBulletin Advanced Abstract General orthogonal regression (GOR) is a superior procedure conversion different magnitude types into preferred ones. It yields linear relation between dependent (⁠Yt⁠) independent variable (⁠Xt⁠) based on observed data (⁠Xobs⁠, Yobs⁠). Recent investigations have shown that conventional GOR obtaining Yt substituting Xobs in incorrect, because error introduces some bias Yt⁠. One way reduce estimate use Xt (instead Xobs⁠) given standard (SLR) Xobs⁠.However, approach does not ease application permit statistical verification. Therefore, we propose modified which derived relationship used develop SLR directly Xobs⁠, thereby eliminating need substitute Xt⁠.We verify supremacy proposed over (⁠Xt replaced using synthetic datasets. We observe provides an improved compared with both SLR. The lower errors slope intercept correlation coefficient (⁠RXY⁠) values as two approaches. newly developed η=1 highest accuracy estimates Our analysis also concludes incorrect can introduce Gutenberg–Richter parameter b 5%–42% range. recommend relations earthquake conversions. You do access content, please speak institutional administrator if you feel should access.