Liquefaction hazard mapping and relationship between probability of liquefaction and factor of safety for Kolkata city, India

Srijani Sett (), Kalyan Kumar Chattopadhyay () and Ambarish Ghosh ()
Additional contact information
Srijani Sett: Indian Institute of Engineering Science and Technology (IIEST) Shibpur
Kalyan Kumar Chattopadhyay: Indian Institute of Engineering Science and Technology (IIEST) Shibpur
Ambarish Ghosh: Indian Institute of Engineering Science and Technology (IIEST) Shibpur

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 118, issue 1, No 14, 347-376

Abstract: Abstract Rapidly increasing population of Kolkata metropolitan city has led to encroachment in the marshy areas, mainly Salt Lake and Rajarhat in the outskirts of the city. Haphazard and unplanned construction in the city and on marshy land-filled regions has rendered the city vulnerable to liquefaction in the event of earthquakes. Liquefaction potential in terms of factor of safety (FS) for silty clay and silty sand has been evaluated by deterministic procedures of Boulanger and Idriss (Evaluating the potential for liquefaction or cyclic failure of silts and clays. Centre for Geotechnical Modelling. Report No. UCD/CGM-04/01, 2004; CPT and SPT based liquefaction triggering procedures. Centre for Geotechnical Modelling. Report No. UCD/CGM-14/01, 2014), respectively, for the study area. Probability of liquefaction (PL) values were determined using first order second moment (FOSM) reliability method and using ArcGIS 10.4.1 software, liquefaction hazard maps were constructed based on factor of safety and probability of liquefaction values at depths 7 m, 15 m and 25 m. Using nonlinear regression analysis, an attempt has been made to correlate PL with its corresponding FS values. Logistic function was utilized and PL–FS relations along with their fitted curves were obtained for silty clay, silty sand as well as for all soils considered in the present study. Sensitivity analysis was conducted on random variables, undrained shear strength (Su), N-value for equivalent clean sand ((N1)60CS), total overburden pressure (σv), effective overburden pressure (σ'v), maximum horizontal acceleration (amax), stress reduction factor (rd) and magnitude scaling factor (MSF), by increasing their coefficient of variation by 10%, 20% and 30%. Sensitivity index for all the parameters were determined which showed that Su and ((N1)60CS are the most sensitive while σv and σ'v being the least sensitive parameters.

Keywords: FOSM method; Reliability analysis; ArcGIS; Regression analysis; Curve fitting; Sensitivity analysis (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-023-06007-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:118:y:2023:i:1:d:10.1007_s11069-023-06007-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-023-06007-9

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().