Liquefaction Potential Map Research Articles

Qualitative Liquefaction Potential Mapping for Dhaka Metropolitan Development Plan (DMDP) Area, Bangladesh

Qualitative Liquefaction Potential Mapping for Dhaka Metropolitan Development Plan (DMDP) Area, Bangladesh

Soil Characterization and Liquefaction Potential Mapping in Nepal’s Terai Region

Soil Characterization and Liquefaction Potential Mapping in Nepal’s Terai Region

Evaluation of Liquefaction Potential Index and Severity Mapping for Rangpur City Corporation

This paper aims to investigate the Liquefaction Potential Index (LPI) of different Wards and prepare a liquefaction severity map of Rangpur City Corporation. A Liquefaction severity map of a city helps the legislators and policymakers with informed land use planning as well as the development of the town. Disturbed soils from 10 Wards among 33 Wards of Rangpur were collected for different depths in a single borehole. The locations for the borehole were selected based on the seismic soil profile and engineering geology reports available for Rangpur City Corporation in CDMP-II. Standard Penetration Test (SPT) and Microtremor test were done on the field. Then, the Grain Size Distribution test and Liquefaction Potential Index (LPI) were determined for the collected samples in the laboratory. Based on the results of the tests done in the field and laboratory, the severity was classified as moderate, moderate to severe, and severe. Based on the Liquefaction Potential Index (LPI) value, four Wards of Rangpur City Corporation fall within the moderate risk class, three Wards show moderate to severe risk of liquefaction, and the remaining 3 Wards belong to the severe risk class.
 J. of Sci. and Tech. Res. 4(1): 49-58, 2022

A study on the soil liquefaction potential map of Taipei Basin using a reliable pre-liquefaction borehole database

A study on the soil liquefaction potential map of Taipei Basin using a reliable pre-liquefaction borehole database

Assessment of Liquefaction Hazard and Mapping Based on Standard Penetration Tests in the Long Beach and Tuzla Regions of Cyprus

Cyprus is the third largest and populated island in the Mediterranean Sea, and is still rapidly expanding. Significant infrastructures, such as hotels, educational institutions, and large residential complexes, are being built. Historically, 15 destructive earthquakes were reported on Cyprus from 1896 to 2019 that caused structural damages and casualties. In this study, the liquefaction potential of Tuzla and Long Beach on the east coast of Cyprus is estimated using the standard penetration test (SPT) data from more than 200 boreholes at different locations at the sites. The overall results are presented in a liquefaction potential index obtained from the factor of safety (F.S.) coefficient. Both study areas are susceptible to liquefaction. Thus, liquefaction potential maps are prepared to identify hazards in Tuzla and Long Beach. Additionally, the average factor of the safety line was introduced for both sites to create a correlation between the liquefaction area and F.S. values of every borehole. The adopted approach precisely provides the liquefiable regions when compared with historical evidence, CPT measurements, surface geology aspects, and geospatial data. Additionally, the results prove that the liquefaction potential must be considered during the design stage of new infrastructure in these areas.

A Study on the Reasons for No Soil Liquefaction Occurring in the Lanyang Plain in a Strong Earthquake Area

The Lanyang Plain is prone to earthquakes of magnitude 5 or higher. The Central Geological Survey’s soil liquefaction potential map of Yilan County shows that more than 69% of the plain area has high liquefaction potential: but why have there not been any liquefaction cases in the past 23 years? Based on the results of the groundwater pumping test, geological history, and the soil liquefaction analysis method, this study aimed to explore and analyze the causes of no liquefaction occurring in the Yilan region. To understand the permeability of the overall stratum structure of the Lanyang Plain and the spring phenomenon, the relationship between groundwater well-pumping test results and the permeability coefficient experience formulas was first studied. Then the Chapuis’ experience formula of the K value multiplied by 10 was recommended herein such that the permeability coefficient K values of the Lanyang plain could be estimated with large numbers. The reasons for the absence of liquefaction cases in Lanyang plain were then investigated. It was found that less serious earthquakes occurred and combined with the extremely ideal permeable soil conditions existing in the Lanyang plain, this led to no catastrophic liquefaction cases occurring over the last 23 years.

Seismic Performance Screening and Evaluation for Embankments on Liquefiable Foundation Soils

This paper proposes a framework for screening and evaluating seismic performance of river earth embankments on liquefiable foundation soils. The framework is executed in the order of simplest screening by soil liquefaction potential map to preliminary and detailed evaluation of seismic performance of embankment according to the sufficiency of data and the complexity and accuracy of the methods. The seismic performances of embankments are classified into four levels based on the seismic-induced crest settlement. The method used for preliminary evaluation is based only on the factors of safety of foundation soils against liquefaction and the embankment slope against sliding. The static softening method (SSM) and dynamic effective stress method (DESM) are suggested for detailed evaluation of seismic performance. SSM is a static FDM or FEM analysis for estimating liquefaction-induced settlement by weakening the strength of the liquefied foundation soil under the action of the self-weight of the embankment. However, DESM is a dynamic history analysis for estimating liquefaction-induced settlement by simulating the generation and dissipation of pore water pressure in the liquefaction process of foundation soils under the action of the self-weight of the soil embankment and its seismic inertial force. The damaged embankment of the Maoluo River in the 1999 Chi-Chi earthquake was used as a case to demonstrate the feasibility of this framework. The results showed that the simpler the adopted method is, the more conservative the estimated settlement.

Liquefaction Potential Index-Based Hazard Mapping for Benghazi Sabkha Deposits of Libya

Liquefaction Potential Index-Based Hazard Mapping for Benghazi Sabkha Deposits of Libya

Seismic Microzonation and Liquefaction Potential Study by Using Microtremor Result Data in and Around Sipora Island, Indonesia

Geographically, the Mentawai Islands are located between two earthquake sources, and either of them could trigger a tsunami. In the eastern part of the Mentawai Islands, one earthquake source is the fault line along Sumatra. Mentawai Island had experienced some great earthquakes; the latest earthquake occurred in 2010 and produced a liquefaction event distributed along Sipora Island. This research proposes a seismic microzonation and liquefaction potential based on mictotermor observation results. We performed 53 microtremor single observations, and the observation sites were distributed across all districts with a population in Sipora Island, including north Sipora and south Sipora. The results show that the predominant period for mainland Tua Pejat in north Sipora and the whole of the south of Sipora Island (regions 1 and 3) have a large predominant period value >1 (long period), which indicates that the soil characteristic is soft soil. This result has correspondence with liquefaction potential Kg>5 while for the rock condition in region two the predominant period is less than 1s. These results provide crucial information for making seismic microzonation maps based on predominant period of soil and liquefaction potential map based on microtremor single observation, improving current hazard maps, and designing disaster prevention countermeasures in the north and south of Sipora Island, Indonesia.

Liquefaction potential mapping of Newtown-Rajarhat area, Kolkata, India, using deterministic and reliability analysis

Liquefaction potential mapping of Newtown-Rajarhat area, Kolkata, India, using deterministic and reliability analysis

Probabilistic Soil Liquefaction Potential Risk Mapping for Sustainable Urban Development

Probabilistic Soil Liquefaction Potential Risk Mapping for Sustainable Urban Development

Mapping the Potential Liquefaction Area in Yogyakarta City Based on Ground Shear Strain Data

The appearance of liquefaction phenomena in some places in Yogyakarta city due to the 2006 earthquake indicates that the sediment in this area has a high potential to liquefy. Three main factors that caused liquefaction are ground shaking, lithological conditions, and groundwater depth. This study aims to investigate one of the three factors i.e ground shaking. For this purpose, the ground shear strain (GSS) data were analyzed for mapping the potential liquefaction area in Yogyakarta city. They were calculated from the seismic vulnerability index and PGA. The seismic vulnerability index was analyzed from a microtremor single station data recorded in 110 sites while PGA was calculated using a reference of the 2006 earthquake. The GSS value in the study area is at a range of 2.0 × 10 −4 to 5.8 × 10 −3 . In this range, the soils begin to be elastic-plastic so that they are susceptible to be fracture and settlement. The high GSS correlates with the location of the liquefaction due to the 2006 earthquake. The liquefaction potential map was obtained by comparing the GSS with liquefaction sites. The high liquefaction potential is located in the southern part of Yogyakarta city covering Mantrijeron, Mergangsan, Pakualaman, Umbulharjo, and Kotagede districts.

Liquefaction potential for the Kathmandu Valley, Nepal: a sensitivity study

An assessment of liquefaction potential for the Kathmandu Valley considering seasonal variability of the groundwater table has been conducted. To gain deeper understanding seven historical liquefaction records located adjacent to borehole datapoints (published in SAFER/GEO-591) were used to compare two methods for the estimation of liquefaction potential. Standard Penetration Test (SPT) blowcount data from 75 boreholes inform the new liquefaction potential maps. Various scenarios were modelled, i.e., seasonal variation of the groundwater table and peak ground acceleration. Ordinary kriging, implemented in ArcGIS, was used to prepare maps at urban scale. Liquefaction potential calculations using the methodology from (Sonmez, Environ Geol 44:862–871, 2003) provided a good match to the historical liquefaction records in the region. Seasonal variation of the groundwater table is shown to have a significant effect on the spatial distribution of calculated liquefaction potential across the valley. The less than anticipated liquefaction manifestations due to the Gorkha earthquake are possibly due to the seasonal water table level.

Introduction and Application of a Simple Probabilistic Liquefaction Hazard Analysis Program: HAZ45PL Module

The 2016 Meinong Earthquake hit southern Taiwan and many shallow foundation structures were damaged due to soil liquefaction. In response, the government initiated an investigation project to construct liquefaction potential maps for metropolitans in Taiwan. These maps were used for the preliminary safety assessment of infrastructures or buildings. However, the constructed liquefaction potential map used the pseudo-probabilistic approach, which has inconsistent return period. To solve the inconsistency, the probabilistic liquefaction hazard analysis (PLHA) was introduced. However, due to its complicated calculation procedure, PLHA is not easy and convenient for engineers to use without a specialized program, such as in Taiwan. Therefore, PLHA is not a popular liquefaction evaluation procedure in practice. This study presents a simple PLHA program, HAZ45PL Module, customized for Taiwan. Sites in Tainan City and Yuanlin City are evaluated using the HAZ45PL Module to obtain the hazard curve and to construct the liquefaction probability map. The liquefaction probability map provides probabilities of different liquefaction potential levels for engineers or owners to assess the performance of an infrastructure or to design a mitigation plan.

Liquefaction Hazard Mapping Based on LPI (Liquefaction Potential Index) At Jepara, Indonesia

Liquefaction is a phenomenon of loss of strength of the soil layers caused by earthquake vibration. Liquefaction causes the soil to be in a liquid – like state, especially on sandy soil. Analysis of liquefaction potential was performed by using the semi-empirical method by calculating the Safety Factor (SF) based on Standard penetration Test (SPT) and Cone Penetration test (CPT) data. After the SF value was obtained, then the Liquefaction Potential Index (LPI) was calculated to determine the level of potential liquefaction in the study area to further produce a liquefaction potential map based on the liquefaction potential index. Based on the results of the calculation of the LPI, the level of liquefaction potential in the study area was very low when the earthquake magnitude is 5 Mw because the Liquefaction Potential Index (LPI) = 0. When the earthquake magnitude is 6 Mw, 7 Mw, 8 Mw, and 9 Mw, most of the investigation area has low potential level and there are some points that a high potential level.

Liquefaction Potential Map based on Coordinates in Padang City with Google Maps Integration

Abstract— Padang City is prone to liquefaction phenomena due to earthquakes. These phenomena can cause various damages to structures, infrastructures, and even can also cause deaths. Therefore, as one of the urban populated cities, the information about liquefaction potential is needed. One of them is by providing a liquefaction potential map, which is useful for mitigation and seismic disaster risks strategies. This article aims to provide a digital map of liquefaction potential in Padang City that integrates with Google Maps. The map is based on 40 coordinates in 7 subdistricts in the city with 3 colored markers that represent the levels of potential liquefaction i.e. no liquefaction level, moderate liquefaction level, and severe liquefaction level. The levels are classified based on the analysis of the secondary Cone Penetration Test data by using the calculation of the Factor of Safety and Liquefaction Potential Index with an earthquake assumption of 8 SR. The result shows that the map has ben able to display information about liquefaction potential, where 32.05% coordinates are classified as no liquefaction level with the highest percentage are in Kuranji, 22.5% are classified as moderate liquefaction level with the highest percentage are in Padang Utara, and 45.0% are classified as severe liquefaction level with the highest percentage are in Koto Tangah.

Geological and Structural Control on Localized Ground Effects within the Heunghae Basin during the Pohang Earthquake (MW 5.4, 15th November 2017), South Korea

On 15th November 2017, the Pohang earthquake (Mw 5.4) had strong ground shaking that caused severe liquefaction and lateral spreading across the Heunghae Basin, around Pohang city, South Korea. Such liquefaction is a rare phenomenon during small or moderate earthquakes (MW < 5.5). There are only a few examples around the globe, but more so in the Korean Peninsula. In this paper, we present the results of a systematic survey of the secondary ground effects—i.e., soil liquefaction and ground cracks—developed during the earthquake. Most of the liquefaction sites are clustered near the epicenter and close to the Heunghae fault. Based on the geology, tectonic setting, distribution, and clustering of the sand boils along the southern part of the Heunghae Basin, we propose a geological model, suggesting that the Heunghae fault may have acted as a barrier to the propagation of seismic waves. Other factors like the mountain basin effect and/or amplification of seismic waves by a blind thrust fault could play an important role. Liquefaction phenomenon associated with the 2017 Pohang earthquake emphasizes that there is an urgent need of liquefaction potential mapping for the Pohang city and other areas with a similar geological setting. In areas underlain by extensive unconsolidated basin fill sediments—where the records of past earthquakes are exiguous or indistinct and there is poor implementation of building codes—future earthquakes of similar or larger magnitude as the Pohang earthquake are likely to occur again. Therefore, this represents a hazard that may cause significant societal and economic threats in the future.

Coherence Difference Analysis of Sentinel-1 SAR Interferogram to Identify Earthquake-Induced Disasters in Urban Areas

This study proposes a workflow that enables the accurate identification of earthquake-induced damage zones by using coherence image pairs of the Sentinel-1 satellite before and after an earthquake event. The workflow uses interferometric synthetic aperture radar (InSAR) processing to account for coherence variations between coseismic and preseismic image pairs. The coherence difference between two image pairs is useful information to detect specific disasters in a regional-scale area after an earthquake event. To remove background effects such as the atmospheric effect and ordinal surface changes, this study employs the two-step threshold method to develop the coseismic coherence difference (CCD) map for our analyses. Thirty-four Sentinel-1 images between January 2015 and February 2016 were collected to process 30 preseismic image pairs and two coseismic image pairs for assessing multiple types of disasters in Tainan City of southwestern Taiwan, where severe damages were observed after the Meinong earthquake event. The coseismic unwrapping phases were further calculated to estimate the surface displacement in east-west and vertical directions. Results in the CCD map agree well with the observations from post-earthquake field surveys. The workflow can accurately identify earthquake-induced land subsidence and surface displacements, even for areas with insufficient geological data or for areas that had been excluded from the liquefaction potential map. In addition, the CCD details the distribution of building damages and structure failures, which might be useful information for emergency actions applied to regional-scale problems. The conversion of 2D surface displacement reveals the complex behavior of geological activities during the earthquake. In the foothill area of Tainan City, the opposite surface displacements in local areas might be influenced by the axis activities of the Kuanmiao syncline.

Development of Soil Distribution and Liquefaction Potential Maps for Downtown Area in Yangon, Myanmar

This study investigates the effect of aggregate size on the compressive strength of concrete. Two nominal mixes, that is, 1:2:4 and 1:3:6 were used in the study. Concrete cubes were produced with 6, 10, 12.5, 20 and 25 mm aggregates for the two nominal mixes and they were subjected to compressive strength test after curing for 7, 21, 28 and 56 days. It was found in the study that the strength development follows the same trend for both nominal mixes. Also, the results show that the compressive strength increases with increasing aggregate size up to 12.5 mm, while the concrete produced using 20 mm had greater compressive strength than those produced using 25 mm aggregate. This established the importance of ensuring that the right aggregate size is used in the production of concrete. Therefore, it is recommended that careful attention must be paid to the sizes of aggregates used in the production of concrete for structural purposes.

Soil Liquefaction Potential Maps for Earthquake Events in Yangon, Myanmar

Soil Liquefaction Potential Maps for Earthquake Events in Yangon, Myanmar