Evaluation of liquefaction potential hazard of Chennai city, India: using geological and geomorphological characteristics

Ganapathy, Ganapathy Pattukandan; Rajawat, A. S.

doi:10.1007/s11069-012-0331-1

Cited by 28 publications

(10 citation statements)

References 7 publications

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“…Wakamatsu (1992) grouped sedimentary deposits into three categories of liquefaction susceptibility (likely, possible and not likely) using geomorphological criteria and classifying geomorphological units such as natural levee, former river channel, sandy dry river channel and artificial fill as the highest level of liquefaction potential. Witter et al (2006) and Ganapathy and Rajawat (2012) combined geomorphic expression and geological characteristics to define and distinguish lithological units and to produce liquefaction susceptibility maps for the central San Francisco Bay region (USA) and Chennai city (India), respectively.…”

Section: Introductionmentioning

confidence: 99%

Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy)

Civico

Brunori

Martini

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. We report a case study from the Po River plain region (northern Italy), where significant liquefaction-related land and property damage occurred during the 2012 Emilia seismic sequence. We took advantage of a 1 m pixel lidar digital terrain model (DTM) and of the 2012 Emilia coseismic liquefaction data set to (a) perform a detailed geomorphological study of the Po River plain area and (b) quantitatively define the liquefaction susceptibility of the geomorphologic features that experienced different abundance of liquefaction. One main finding is that linear topographic highs of fluvial origin -together with crevasse splays, abandoned riverbeds and very young land reclamation areas -acted as a preferential location for the occurrence of liquefaction phenomena. Moreover, we quantitatively defined a hierarchy in terms of liquefaction susceptibility for an ideal fluvial environment. We observed that a very high liquefaction susceptibility is found in coincidence with fluvial landforms, a high-tomoderate liquefaction susceptibility within a buffer distance of 100 and 200 m from mapped fluvial landforms and a low liquefaction susceptibility outside fluvial landforms and relative buffer areas. Lidar data allowed a significant improvement in mapping with respect to conventionally available topographic data and/or aerial imagery. These results have significant implications for accurate hazard and risk assessment as well as for land-use planning. We propose a simple geomorphological approach for liquefaction susceptibility estimation. Our findings can be applied to areas beyond Emilia that are characterized by similar fluvial-dominated environments and prone to significant seismic hazard.

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Section: Introductionmentioning

confidence: 99%

Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy)

Civico

Brunori

Martini

et al. 2015

Nat. Hazards Earth Syst. Sci.

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“…Deltaic plains, interdistributary marshes, paleochannels, younger levees adjacent to the River Hoogly and older levees on both the sides of the old Adi Ganga are the important geomorphological units (Roy et al, 2012), as depicted in Fig. 14. Youd and Perkins (1978) classified the geomorphological units with affinity to high, moderate and low susceptibility to liquefaction, with the maximum likelihood in deltas, river channels and uncompacted artificial fills, whereas Ganapathy and Rajawat (2012) asserted abandoned river channel to be "likely" liquefiable. Thus, in Kolkata, all geomorphological units have potential liquefaction susceptibility during strong seismic shaking.…”

Section: Geomorphology Of Kolkatamentioning

confidence: 99%

“…The corresponding weights, the ranks of each thematic layer, and the theme attribute score thereof are assigned values according to the apparent contribution of the layers to the overall seismic hazard. For example, in the geomorphology theme, with regard to severity to liquefaction, we have assigned a ranking of "high" to swampy land, water bodies and river channels and "low" to paleochannel (Youd and Perkins, 1978;Ganapathy and Rajawat, 2012). In the sediment class, considering the effect on the FOS, higher rank is assigned to sand, clayey sand and silty sand, whereas Figure 24.…”

Section: Multicriteria Seismic Hazard Microzonation Of Kolkatamentioning

confidence: 99%

Earthquake scenario in West Bengal with emphasis on seismic hazard microzonation of the city of Kolkata, India

Nath

Adhikari

Maiti

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Seismic microzonation is a process of estimating site-specific effects due to an earthquake on urban centers for its disaster mitigation and management. The state of West Bengal, located in the western foreland of the AssamArakan Orogenic Belt, the Himalayan foothills and Surma Valley, has been struck by several devastating earthquakes in the past, indicating the need for a seismotectonic review of the province, especially in light of probable seismic threat to its capital city of Kolkata, which is a major industrial and commercial hub in the eastern and northeastern region of India. A synoptic probabilistic seismic hazard model of Kolkata is initially generated at engineering bedrock (V 30 s ∼ 760 m s −1 ) considering 33 polygonal seismogenic sources at two hypocentral depth ranges, 0-25 and 25-70 km; 158 tectonic sources; appropriate seismicity modeling; 14 ground motion prediction equations for three seismotectonic provinces, viz. the east-central Himalaya, the Bengal Basin and Northeast India selected through suitability testing; and appropriate weighting in a logic tree framework. Site classification of Kolkata performed following in-depth geophysical and geotechnical investigations places the city in D1, D2, D3 and E classes. Probabilistic seismic hazard assessment at a surface-consistent level -i.e., the local seismic hazard related to site amplification performed by propagating the bedrock ground motion with 10 % probability of exceedance in 50 years through a 1-D sediment column using an equivalent linear analysis -predicts a peak ground acceleration (PGA) range from 0.176 to 0.253 g in the city. A deterministic liquefaction scenario in terms of spatial distribution of liquefaction potential index corresponding to surface PGA distribution places 50 % of the city in the possible liquefiable zone. A multicriteria seismic hazard microzonation framework is proposed for judicious integration of multiple themes, namely PGA at the surface, liquefaction potential index, NEHRP soil site class, sediment class, geomorphology and ground water table in a fuzzy protocol in the geographical information system by adopting an analytical hierarchal process. The resulting high-resolution surface consistent hazard, liquefaction and microzonation maps are expected to play vital roles in earthquake-related disaster mitigation and management of the city of Kolkata.

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“…Extensive studies have been performed to determine the liquefaction potential of granular or nonplastic fine-grained soils previously. Experimental methods based on field experiments (Moss et al, 2006), laboratory tests (Monkul et al, 2015), experimental methods based on geomorphological and geological characteristics (Ganapathy and Rajawat (2012)), numerical methods (Jafarian et al, 2011) and methods based on artificial intelligence (Goh, 1994) are among the tools introduced for liquefaction hazard investigations. Yilmaz and Yavuzer (2005) presented liquefaction potential and susceptibility maps for the city of Yalova, Turkey.…”

Section: Introductionmentioning

confidence: 99%

Determination of Liquefaction Potential of Tabriz City, Northwest of Iran

Hajialilue-Bonab

Asadiyan

Tohidvand

et al. 2021

Uluslararası Doğu Anadolu Fen Mühendislik Ve Tasarım Dergisi

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The city of Tabriz, located in Northwestern Iran, is one of the seismo-tectonically active regions of Iran. Historical earthquake sequences of this area show that the recurrence interval of earthquakes with M>6 can be estimated equal to 250 years (while some larger earthquakes with M>7 have been reported in the literature). Based on this knowledge, the occurrence of a large earthquake in the city of Tabriz is expected for upcoming decades. Therefore, evaluating the potential of liquefaction (as one of the significant hazards induced by earthquakes) and providing an appropriate hazard zonation map for this city is necessary for pre-crisis management. To this aim, different methods are applied to assess the potential of liquefaction in the study area and a comparison between their results is presented in this paper. Methods based on the standard penetration test and fully coupled finite element site response modeling are employed to investigate the potential of liquefaction. In this study, it has been shown that some populated areas of the studied city have been built in liquefiable regions and therefore necessary measures should be taken by city authorities for these regions.

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Evaluation of liquefaction potential hazard of Chennai city, India: using geological and geomorphological characteristics

Cited by 28 publications

References 7 publications

Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy)

Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy)

Earthquake scenario in West Bengal with emphasis on seismic hazard microzonation of the city of Kolkata, India

Determination of Liquefaction Potential of Tabriz City, Northwest of Iran

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