1 Introduction

Liquefaction can cause extensive damage during an earthquake. The 2018 Sulawesi Earthquake in Indonesia, 1999 Chi-Chi Earthquake in Taiwan, 1989 Loma Prieta and 1964 Alaska Earthquakes in USA, 1964 Niigata Earthquake in Japan have revealed how soil liquefaction can increase the intensity of the damage caused by seismic shaking [10, 19, 21, 34, 36, 38, 46]. Therefore, it is necessary to assess the liquefaction potential of earthquake prone areas where water-saturated Quaternary loose sediments exist down to a depth of 20 m.

About 80% landmass of Bangladesh is covered by the Quaternary loose and soft sediments [3]. Extensive liquefaction phenomena were documented in alluvial deposits of Bangladesh after the 1885 Bengal Earthquake, 1897 Great Indian Earthquake, and 1918 Srimangal Earthquake [23, 29, 42]. Paleoseismic investigations revealed liquefaction phenomena in the northern and northeastern parts of the country, which are believed to be caused by a number of seismic events along the Dauki fault [25,26,27]. Earthquake of moderate to large magnitude may occur in this region as a result of continuing tectonic deformation along the active Indo-Burman plate-boundary faults [24, 41]. The northeast region of Bangladesh is the most vulnerable to earthquake given that this region is close to the two potential sources, i.e., Dauki Fault [26] and Indo-Burma Fold Belt [41].

In the present study, liquefaction potential of Moulvibazar, a rapidly growing district town in the northeastern part of the country, has been evaluated for future urban planning and development of the town Fig. 1. The seismic zoning map of Bangladesh [8] delineated this town within the most vulnerable seismic hazard prone zone of Bangladesh, where the peak horizontal ground acceleration (PGA) value is assigned as 0.36 g. The subsurface soils of the town down to a depth of more than 20 m are composed of the Holo–Pleistocene and Holocene loose and soft sediments [32]. The epicenter of the 1918 Srimangal Earthquake (Mw 7.6) was close to Moulvibazar town, and extensive liquefaction phenomena were observed in this region including the town area after this quake [42, 43]. Therefore, liquefaction potential assessment for the town is essential for a safe and resilient urban development. Present study is aimed at preparing an earthquake-induced soil liquefaction hazard map for Moulvibazar town using a design earthquake of MW 8 having a horizontal peak ground acceleration (PGA) of 0.36 g.

Fig. 1
figure 1

Location map and surface geology map along with the borehole locations in Moulvibazar town

Earthquake-induced soil liquefaction potential is generally evaluated from standard penetration test blow counts (SPT-N) using the simplified procedure that was originally proposed by Seed and Idriss [37]. Later, the simplified procedure has been updated, calibrated, and validated by many researchers [48]. The procedure is applied to estimate the factor of safety (FL) against liquefaction, where FL > 1 designates that a soil layer will not liquefy and FL < 1 indicates that a layer will liquefy during cyclic loading [30, 37]. Iwasaki et al. [16] introduced liquefaction potential index (LPI), where FL is a function of the thickness of liquefiable layer and depth of the layer from the ground surface.

Although this region has high potentiality to cause earthquake-induced liquefaction, no study has been conducted yet to assess the liquefaction hazard for this town of Bangladesh. Therefore, the infrastructures of the town are being constructed without considering seismic and liquefaction hazard. Present study attempts to assess the factor of safety of liquefaction using simplified procedure [48] to figure out liquefaction potential index (LPI) for the subsurface geological materials of Moulvibazar town. The factors of safety of liquefaction for various soil layers are evaluated using a scenario earthquake of MW 8.0 having a PGA value of 0.36 g to estimate the LPI value of the soil profiles. A liquefaction hazard map has been prepared using contour lines of the LPI values, and the cumulative frequency distribution (CFD) of the LPI values of different surface geological units.

2 Study area

Moulvibazar town is located on the bank of the Manu River in the northeastern part of Bangladesh Fig. 1. The town has its present area of about 10.36 km2 and total population of about 56,537 with population density of 5,457 per square kilometer [5]. It is further growing rapidly with increase in both population and masonry structures.

2.1 Geomorphology and geology

From the geomorphological point of view, this town is characterized by a landscape with Holocene flood plain, low elevated terrace, and sporadic hillocks [32]. As seismic hazard assessment and site characterization are still at nascent state in Bangladesh, it is no wonder that this rapidly growing town is still lacking investigation as per the risk assessment of ground failure by seismic soil liquefaction hazard.

The area exhibits two major surface geological units: the Holo–Pleistocene low elevated terrace and Holocene flood plain deposits Fig. 1. The Holo–Pleistocene low elevated terrace unit occupies the southeastern corner of the town, while the Holocene flood plain unit covers the rest of the area of the town. Table 1 represents soil classification of the geological materials of Moulvibazar town according to the Unified Soil Classification System (USCS), and their geologic ages. Among them, the Holocene terrace deposits are mainly composed of silty clay, clayey silt, and sand. The sand grains are generally medium to fine grained. Mineralogical composition of the geological materials of this unit is chiefly quartz, feldspar, mica, and dark colored minerals. This unit covers about 7.00 km2 area of the town and has elevation of 13–20 m. On the other hand, the Holo–Pleistocene low elevated terrace deposits are chiefly comprised of clayey silt to silty clay with sand. Mottling of color is present in these red to yellowish red and grey geological materials. This unit covers 3.00 km2 area of the town with elevation varying from 13 to 25 m.

Table 1 Classification of the geological materials of Moulvibazar town according to the unified soil classification system (USCS)

2.2 Seismotectonics

Bangladesh occupies major part of the Bengal Basin Fig. 2, which is one of the largest sedimentary basins in the world [2, 31]. This pericratonic basin, as well as Bangladesh, in the northeast of the Indian shield, is surrounded in the north and east by actively converging plate boundaries of the Himalaya and the Burman Arcs, respectively [6, 7, 28, 31]. The tectonic condition of Bangladesh and its adjacent area have made this region potential for earthquake. Paleoseismic records and modern earthquake data in the foredeep areas of the Himalayan and Burman arcs suggest that active faults are bounding these blocks [7, 40]. These faults are also regarded as plate boundary faults Fig. 2. Record of several earthquakes around the Bengal Basin implies that this basin is seismically active.

Fig. 2
figure 2

Reproduced from Steckler et al. [41]

Tectonic and paleoseismic map of Bangladesh. Bengal Basin is outlined by dotted blue circle, Surma Basin is demarcated by red circle, and Dauki Fault is represented by orange line

Moulvibazar town lies in the greater Sylhet region where a number of earthquakes occurred in the past [4]. Geologically, this town is located in the Sylhet Basin which is also known as Surma Basin or Sylhet Trough [17]. Shillong Massif is in the north of the Sylhet Basin. The frontal deformation zone of the Burma Arc lies to the east of this basin [17]. The interplay between the rising Shillong Massif and the Indo-Burman fold belt is responsible for evolving this Miocene, actively subsiding basin [14]. Steckler et al. [40] and Morino et al. [25, 26] described the Dauki fault as a major active structure in this region.

Bangladesh has been divided into four major seismic zones based on the peak horizontal ground acceleration (PGA) [8]. The zones are Zone I, Zone II, Zone III, and Zone IV, having PGA value of 0.12 g, 0.20 g, 0.28 g, and 0.36 g, respectively Fig. 3. Moulvibazar town lies within the Zone IV, which has PGA value of 0.36 g. It is notable that the Sylhet region has the maximum PGA value in the country, implying the most vulnerable zone for seismic hazard.

Fig. 3
figure 3

Seismic zoning map of Bangladesh (BNBC 2014)

3 Methodology

The standard penetration test blow counts (SPT-N) are generally used worldwide to evaluate liquefaction potential analysis using design earthquake [9, 18, 31, 35, 47, 48]. The simplified procedure [37], later updated, calibrated, and validated by Youd et al. [48], has been used for evaluating liquefaction potential from the SPT-N values of the geological materials of Moulvibazar town. Using the SPT-N values at each 1.5 m interval starting at a depth of 1.5 m from the ground surface to a depth of 20 m, the factor of safety against liquefaction (FL) at each 1.5 m interval and liquefaction potential index (LPI) for each SPT-N profile down to a depth of 20 m have been calculated to observe the severity of liquefaction at each borehole site. The liquefaction hazard map of the study area has been prepared using the LPI values of the SPT-N profiles located at different surface geological units of the study area.

3.1 Dataset

The SPT-N profiles of 25 boreholes were used for this study. The SPT-N values and disturbed samples were collected from each borehole at each 1.5 m interval down to a depth of 20 m. Decision for the selection of boring sites has been made following the surface geological units of the area. The locations of the boreholes are manifested in the surface geological map of the study area Fig. 1. Among them, 5 boreholes are on the Holo–Pleistocene low elevated terrace deposits, and 20 boreholes are on the Holocene flood plain deposits.

The subsoils of each borehole down to a depth of 20 m are classified using Unified Soil Classification System (USCS). The groundwater level at each borehole was recorded after 24 h from the completion of the borehole, and topographic elevation was also recorded during the site investigation. The grain size distribution data are obtained by mechanical sieve analysis of coarse-grained soils and hydrometer analysis of fine-grained soils to determine the percentages of silt and clay. The groundwater level varies from 0.013 m to 3.5 m in the boreholes of the study area. In Table 2, the geological and geotechnical properties of a soil layer that are required for liquefaction potential analysis are shown from borehole Mlv-08 and the bore log of this borehole is presented in Fig. 4.

Table 2 Geological and geotechnical properties (geological age, lithology, soil type, fines content (FC), unit weight above groundwater level (γd), and unit weight below groundwater level (γt)) of a subsoil layer from borehole Mlv-08
Fig. 4
figure 4

Borehole Mlv-08 (for example) showing lithological information with SPT-N values and groundwater level

The epicenter of 1918 Srimangal Earthquake (Mw 7.6) was located about 30 km away from Moulvibazar town [42, 43]. According to the report of Stuart [42], all the brick buildings in Moulvibazar town were damaged and many of them were thrown drown. The Moulvibazar town was in the area enclosed by Isoseist line no. 2 of the intensity map of the 8 July 1918 Srimangal Earthquake. The description of the damage in the area enclosed by Isoseist line no. 2 is comparable with VII to VIII in the MMI scale, which is equivalent to the PGA value of 0.15–0.25 g according to the relationship of Trifunac and Brady [44] and Tselentis and Danciu [45]. However, in the seismic zoning map of Bangladesh [8], the peak horizontal ground acceleration (PGA) for Moulvibazar town is assigned as 0.36 g. Therefore, we used the PGA value and earthquake magnitude as 0.36 g and MW 8.0, respectively, for calculating the factor of safety (FL) against liquefaction.

3.2 Calculation of factor of safety (F L) against liquefaction

The factor of safety (FL) against liquefaction is defined in terms of cyclic stress ratio (CSR), cyclic resistance ratio (CRR), and a magnitude scaling factor (MSF) [48]:

$$F_{{\text{L}}} = \left( {\frac{{{\text{CRR}}_{7.5} }}{{{\text{CSR}}}}} \right){\text{MSF}}$$
(1)

FL > 1 indicates a non-liquefiable soil layer, whereas FL < 1 indicates a liquefiable one. The cyclic stress ratio, being proportional to the peak horizontal ground acceleration (amax), is the amount of cyclic stress generated during an earthquake (cyclic loading). The cyclic resistance ratio, in contrary, is the required stress for changing the condition of a soil from solid to liquefied state for an earthquake of magnitude Mw 7.5 (CRR7.5). The MSF is used to adjust the CRR7.5 for other earthquake magnitudes. The standard penetration resistance (N1)60cs of clean sand equivalent is used to calculate the CRR7.5. An example of FL calculation for borehole Mlv-08 is shown in Table 3.

Table 3 Factor of safety (FL) calculation for the subsoil profile of borehole Mlv-08

The CSR [37] is expressed as:

$${\text{CSR}} = 0.65 \times \left( {\frac{{a_{\max } }}{g}} \right) \times \left( {\frac{{\sigma_{{\text{t}}} }}{{\sigma_{{{\text{te}}}} }}} \right) \times r_{{\text{d}}}$$
(2)

where amax peak horizontal ground acceleration, \(g =\) gravitational acceleration, \(\sigma_{{\text{t}}} =\) total stress, \(\sigma_{{{\text{te}}}} =\) total effective stress, and \(r_{{\text{d}}} =\) stress reduction coefficient.

In this study, the term rd was calculated by the following equation [48]:

$$r_{{\text{d}}} = \frac{{\left( {1.000 - 0.4113z^{2} + 0.04052z + 0.001753z^{1.5} } \right)}}{{\left( {1.000 - 0.4177z^{0.5} + 0.05729z - 0.006205z^{1.5} + 0.001210z^{2} } \right)}}$$
(3)

where z = depth below ground level.

The CRR7.5 was calculated by the following equation [48]:

$${\text{CRR}}_{7.5} = \frac{1}{{34 - \left( {N_{1} } \right)_{{60{\text{cs}}}} }} + \frac{{\left( {N_{1} } \right)_{{60{\text{cs}}}} }}{135} + \frac{50}{{\left[ {10 \cdot \left( {N_{1} } \right)_{{60{\text{cs}}}} + 45^{2} } \right]^{2} }} - \frac{1}{200}$$
(4)

where the term \(\left( {N_{1} } \right)_{{60{\text{cs}}}}\) is the normalized standard penetration test blow counts (SPT-N) to an overburden pressure of about 100 kPa, when a hammer energy ratio or hammer efficiency is 60%, which is further corrected for fines content (FC) as follows [48]:

$$\left( {N_{1} } \right)_{{60{\text{cs}}}} = \alpha + \beta \left( {N_{1} } \right)_{60}$$
(5)

where \(\alpha\) and \(\beta\) are the coefficients and determined by the following relationships:

$$\alpha = 0\,{\text{For}}\,{\text{FC}} \le 5\%$$
(6a)
$$\alpha = \exp \left[ {1.76 - \frac{190}{{{\text{FC}}^{2} }}} \right]\,{\text{For}}\,5\% < {\text{FC}} < 35\%$$
(6b)
$$\alpha = 5.0\,{\text{For}}\,{\text{FC}} \ge 35\%$$
(6c)
$$\beta = 1.0\,{\text{For}}\,{\text{FC}} \le 35\%$$
(6d)
$$\beta = \exp \left[ {0.99 + \frac{{FC^{1.5} }}{1000}} \right]\,{\text{For}}\,5\% < {\text{FC}} < 35\%$$
(6e)
$$\beta = 1.2\,{\text{For}}\,{\text{FC}} \le 35\%$$
(6f)

The term \(\left( {N_{1} } \right)_{60}\) denotes normalized SPT-N, adjusted to approximately 110 kPa overburden pressure that is further calculated by the equation below:

$$\left( {N_{1} } \right)_{60} = N_{{\text{m}}} C_{{\text{N}}} C_{{\text{E}}} C_{{\text{B}}} C_{{\text{R}}} C_{{\text{s}}}$$
(7)

where \(N_{{\text{m}}} =\) SPT-N value, \(C_{{\text{N}}} = N_{{\text{m}}}\) normalization factor regarding overburden stress, \(C_{{\text{E}}} = 60/100 =\) corrected hammer energy ratio, \(C_{{\text{B}}} =\) borehole diameter correction factor, \(C_{{\text{R}}} =\) correction factor for rod length, and \(C_{{\text{s}}} =\) sampler correction.

Again, the term \(C_{N}\) is expressed mathematically as follows:

$$C_{{\text{N}}} = \left( {\frac{{P_{{\text{a}}} }}{{\sigma_{{{\text{te}}}} }}} \right)^{0.5}$$
(8)

where \(P_{{\text{a}}} =\) 100, because \(C_{{\text{N}}}\) normalizes \(N_{{\text{m}}}\) to an effective overburden pressure of about 100 kPa.

3.3 Calculation of liquefaction potential index (LPI)

The factor of safety (FL) only determines whether a soil layer will liquefy or not. It is not possible to quantify the severity of liquefaction based on the factor of safety only. The severity of liquefaction can be quantified and categorized spatially using the liquefaction potential index (LPI). Therefore, the severity of liquefaction can be mapped using different LPI values that exist at different locations of an area [12].

Iwasaki et al. [15, 16] introduced thickness and depth of the susceptible soil layer in addition to FL in the LPI calculation. The LPI is proportionally related to (1) the thickness of the liquefiable soil layer, (2) the distance between the susceptible soil layer and the ground surface, and (3) the difference of the factor of safety value from 1.0, when FL < 1.

The LPI defined by Iwasaki et al. [16] is as follows:

$${\text{LPI}} = \mathop \smallint \limits_{0}^{20} F\left( z \right)W\left( z \right){\text{d}}\left( z \right)$$
(9)
$$F\left( z \right) = 1 - F_{{\text{L}}} \,{\text{for}}\,F_{{\text{L}}} < \, 1.0$$
(10a)
$$F\left( z \right) = 0\,{\text{for}}\,F_{{\text{L}}} \ge 1.0$$
(10b)
$$W\left( z \right) = 10 - 0.5z\,{\text{for}}\,z < 20\,{\text{m}}$$
(10c)
$$W\left( z \right) = 0\,{\text{for}}\,z > 20\,{\text{m}}$$
(10d)

where z is the depth of the soil layer from the ground surface in meters.

According to Iwasaki et al. [16], the surface manifestation of liquefaction will occur where the LPI ≥ 5, and liquefaction will be severe, where the LPI > 15. Holzer et al. [13] examined that the liquefaction triggered sand boils and lateral spreading were corresponding to the values of LPI ≥ 5 and LPI ≥ 12, respectively. Based on the LPI values, Iwasaki et al. [16] classified the severity of liquefaction as very low (LPI = 0), low (0 < LPI ≤ 5), high (5 < LPI ≤ 15), and very high (LPI > 15). Other such classifications schemes are also available [10, 18, 19, 21, 39]. However, for hazard mapping, we adopted the LPI-based liquefaction hazard categories of Iwasaki et al. [16], which has already been used by many authors [11, 32, 33].

Holzer et al. [12, 13] used the cumulative frequency distribution of the LPI values of a surface geological unit to predict the percentage of area of the unit that will show surface manifestation of liquefaction, when LPI ≥ 5 Fig. 5.

Fig. 5
figure 5

Cumulative frequency distributions of LPI for two surface geological units of Moulvibazar town. Parentheses of the legend represent the number of SPT profiles used for each unit

4 Results and discussion

The LPI values of 25 SPT-N profiles and other information are provided in Table 4. The liquefaction hazard map for Moulvibazar town has been prepared based on the LPI values and cumulative frequency distribution of the LPI values for each unit Fig. 6. The contour lines of equal LPI values have been drawn at an interval of 5 LPI value to predict the LPI values for the areas where the SPT-N profiles are not available. The liquefaction hazard map also represents the likelihood of surface manifestation of liquefaction of each surface geological unit as percentage, where the LPI value is equal to or greater than 5. Thus, the study area is divided into two liquefaction hazard zones based on the surface geological units: Zone 1 (Holo–Pleistocene low elevated terrace deposits) and Zone 2 (Holocene flood plain deposits). Zone 1 covers southeastern corner of the mapped area that contains five LPI values, and Zone 2 covers rest of the mapped area that contains twenty LPI values.

Table 4 Calculated liquefaction potential index (LPI) of every SPT profile for a scenario seismic event of MW 8 and PGA (amax) of 0.36 g
Fig.6
figure 6

Liquefaction hazard map of Moulvibazar town. Liquefaction hazard potential is indexed as very low for LPI = 0; low for 0 < LPI ≤ 5; high for 5 < LPI ≤ 15; and very high for LPI > 15. The 42% and 78% areas of Zone 1 and Zone 2, respectively, will show surface manifestation of liquefaction during a scenario earthquake of Mw 8 having peak horizontal ground acceleration (PGA) of 0.36 g

Cumulative frequency distribution of LPI is a quantitative approach to estimate how much area of a surface geological unit will show surface manifestation of liquefaction. Large and small percentage of area predicted to liquefy by cumulative frequency distribution of LPI is consistent with historical earthquake [12]. However, in Zone 1, 42% of the total area will show surface manifestation of liquefaction, whereas in Zone 2, 78% of total area will show surface manifestation of liquefaction.

The liquefaction hazard is classified based on the LPI-based hazard index of Iwasaki et al. [16].The classification of liquefaction hazard for the mapped area is as follows: (1) very low for LPI = 0, (2) low for 0 < LPI ≤ 5, (3) high for 5 < LPI ≤ 15, and (4) very high for LPI > 15.

From Fig. 6, it is observed that Zone 2 (Holocene flood plain deposits) shows higher LPI values than that of Zone 1 (Holo–Pleistocene low elevated terrace deposits). Therefore, the Holocene loose sandy and silty soils are more susceptible to liquefaction than that of the Pleistocene terrace deposits [21].

In Fig. 7, two borehole logs of two zones containing lithological and SPT-N value information are presented to show the variation in lithology and SPT-N values due to the sedimentary deposits of different geological age.

Fig. 7
figure 7

Lithological logs with uncorrected SPT-N values: a Borehole No. Mlv-13 from Holo–Pleistocene terrace deposits (Zone 1) and b Borehole No. Mlv-19 from Holocene flood plain deposits (Zone 2)

Holo–Pleistocene yellowish brown to reddish brown clay, clayey silt, and sand make up the upper 20 m of the subterranean soils of Zone 1. The presence of loose sandy soils with groundwater level at shallow depth increases the liquefaction susceptibility [1]. In Zone 1, the SPT values indicate that clayey soils are very soft to hard, and the sandy soils are loose to very dense in nature. Liquefaction potential analysis yields that this zone has very low to high liquefaction hazard, i.e., LPI values from 1.24 to 7.52, Fig. 6. Usually, the Pleistocene sediments are less susceptible to liquefy. However, the Holocene deposits (1 m to 7 m thick) consisting of loose sandy to silty soils present in the valleys of the Pleistocene terrace reveal high liquefaction susceptibility. For example, during the 1886 Charleston earthquake, the Pleistocene sand deposits have been liquefied [22]. Holzer et al. [12] also revealed that the Pleistocene fan and sand deposits may liquefy during strong ground shaking. In the report of the 1918 Srimangal Earthquake, Stuart [42] mentioned that two small hollows were present on the ground of a tea factory that was located on the Pleistocene deposits close to the study area.

The Zone 2 (Holocene flood plain deposit) is comprised of, up to 20 m depth, light grey to dark grey clay, silty clay, silt, and sand. The clayey soils of this zone are very soft to hard, and sandy soils are very loose to very dense. The LPI values of this zone range from 0 to 42.34, indicating very low to very high liquefaction hazard. Low LPI values in the middle part of Zone 2 indicate that thick silty clay and clayey silt layers exist within 20 m depth at these borehole locations Fig. 6.

The groundwater level plays an important role in calculating factor of safety (FL) and LPI values [10]. The SPT borings of this study were performed during monsoon, when groundwater level of this area was at shallow depth (0.013 m to 3.5 m). The groundwater level at shallow depth has eventually increased the LPI values and surface manifestation of liquefaction Table 5.

Table 5 Liquefaction potential index (LPI) value changes with the depth of groundwater level (GWL)

The epicenter of the 1918 Srimangal Earthquake (Mw 7.6) was located within a radius of 30 km from Moulvibazar town. During Srimangal Earthquake, widespread spouting out of sand and water (liquefaction) was reported within a radius of more than 100 km (Sylhet, Agartala, Comilla, Kishoreganj, and Netrokona) from the epicenter [42]. Our study also suggests that widespread and severe liquefaction would occur in the saturated sandy and silty soils of the Quaternary (Pleistocene and Holocene) alluvium of Moulvibazar town during a scenario earthquake of Mw 8 having a peak horizontal ground acceleration (PGA) of 0.36 g in Moulvibazar town. Lee et al. [20], Holzer et al. [12], and Rahman et al. [31] also predicted that severe liquefaction would occur in the Quaternary (Pleistocene and Holocene) sandy and silty alluvium during a scenario earthquake of magnitude greater than Mw 7 having a peak horizontal ground acceleration (PGA) of greater than 0.15 g.

5 Conclusions

In this study, we have assessed liquefaction susceptibility of subsurface geological materials of Moulvibazar town using liquefaction potential index (LPI) from geotechnical properties of soil and groundwater depth, and subsequently prepared a hazard map for a scenario earthquake of magnitude 8.0 Mw having a peak horizontal ground acceleration (PGA) of 0.36 g. The SPT N values and soil samples from 25 boreholes were used for this study. Factor of safety of each soil layer of the SPT profiles was calculated using the simplified procedure, and the factor of safety of all layers encountered in a borehole down to a depth of 20 m was summed up to calculate the LPI value for a borehole. From field survey and borehole investigations, two surface geological units were identified in the study area: (1) Holo–Pleistocene low elevated terrace deposits and (2) Holocene flood plain deposits, and they were denoted as two hazard zones, i.e., Zone 1 and Zone 2, respectively. The liquefaction hazard map represents spatial variation of degree of hazard by means of contour lines of equal values. The LPI values vary from 0 to 42.33 within the town, whereas values from 1.42 to 7.52 are in Zone 1 and values from 0 to 42.34 are in Zone 2. Thus, Zone 1 represents very low to high and Zone 2 shows very low to very high liquefaction hazard potential. The cumulative percentages of LPI revealed that 42% and 78% of the surface areas of Zone 1 and Zone 2, respectively, would exhibit surface manifestation of liquefaction during a scenario earthquake of magnitude 8.0 Mw having a PGA of 0.36 g.

The liquefaction hazard map of Moulvibazar town can be used for site-specific seismic site characterization and microzonation, and guidelines preparation for planners and policy makers for seismic risk management of Moulvibazar town.