Low Hazard Level Research Articles

Analisis Bahaya Bencana Gempa Bumi di Wilayah Kabupaten Pesisir Selatan

This study aims to determine the earthquake hazard levels in Pesisir Selatan Regency, West Sumatra Province, by identifying the Peak Ground Acceleration (PGA) values and the distribution of earthquake hazard levels. The type of research used is quantitative descriptive analysis and spatial analysis. The method employed in this study is Probabilistic Seismic Hazard Analysis (PSHA). To determine the Peak Ground Acceleration values, parameters such as earthquake location, occurrence time, and earthquake magnitude are used. For determining the earthquake hazard distribution, data on Ground Amplification Factor (GAF) is utilized. The results of this study show that the distribution of Peak Ground Acceleration in the study area ranges from 0.17 g to 0.93 g. The value of 0.17 g is found in Koto XI Tarusan District, while the highest value is observed in Silaut District. Additionally, the distribution of earthquake hazard levels shows that areas with low hazard level cover 697.04 km², moderate hazard level covers 4150.49 km², and high hazard level covers 1201.81 km². This study provides earthquake hazard maps that can be used for mitigation and planning in the region.

Analyzing the dependency of earthquake insurance premium on the intensity measure used in probabilistic seismic hazard analysis and fragility curves

Considering the uncertainties associated with earthquake, seismic response of structures, damage caused by the response and the repair costs, determining Earthquake Insurance Premium (EIP) is a challenging task that requires a framework for modeling all inherent risks. Most of the models proposed for EIP determination have two basic components. The first component indicates the probability of seismic hazard (generally obtained from the probabilistic seismic hazard analysis), and the second component indicates the probability of occurrence of a given damage to the structure with respect to different seismic hazard levels (generally obtained from the fragility curves). These two components are interconnected through an intermediate parameter, known as the Intensity Measure (IM), which is of great importance in calculations and has hardly been considered so far. In this study, the dependency of EIP on the IM used in the probabilistic seismic hazard analysis and the fragility curves is analyzed. To this end, the EIP was determined for five types of buildings at low, medium and high seismic hazard levels using two IMs (peak ground acceleration and first mode spectral acceleration). The results of this study warn that the EIP can be highly dependent on the IM, so that for all studied structures, the EIP determined based on peak ground acceleration at a high seismic hazard level is nearly three times as many as the one determined by the first mode spectral acceleration. A significant finding is that when the first mode spectral acceleration is used as the IM, the ratio of EIP at different seismic hazard levels closely matches the ratio of IM at the same levels. This result can be valuable in developing insurance codes and regulations. However, this is not the case for the currently used IM, i.e., peak ground acceleration.

Assessment of heavy metal contamination risk in dry fish from India: A comprehensive study

The widespread presence of heavy metal contaminants in aquatic ecosystems, and consequently in fish, has emerged as a paramount concern owing to the staple role of fish in the Indian diet. The present study addresses heavy metal contamination in dried fish consumed across India and its associated health risks. The objectives of this study were to determine the heavy metal concentrations in dried fish from different regions of India, assess daily heavy metal intake through dried fish consumption, and evaluate the carcinogenic and non-carcinogenic health risks associated with heavy metal exposure. Subsequently, 111 dried fish samples from Guwahati-Assam, Mumbai, Karad-Maharashtra, and Goa were analyzed for eight selected heavy metals using a validated inductively coupled plasma mass spectrometry method results indicated varying contamination levels across locations, with As being the most abundant heavy metal. In Maharashtra and Assam, the heavy metal load in dried fish was as follows: As > Cr > Ni > V > Cd > Pb > Co > Hg. For Goa, the order was As > Cr > Ni > V > Cd > Co > Pb > Hg. Dietary exposure assessments revealed varying levels of exposure between adults and children, with As and Cd posing higher risks to children. The Target Hazard Quotient (THQ) and Hazard Index (HI) values for all metals were within acceptable limit of one. Health risk assessments revealed generally low hazard levels for adults, but higher risks for children, particularly at higher percentiles. Furthermore, As was identified as posing a medium risk of cancer. In essence, this research emphasizes the necessity for strict monitoring and regulations with the aim of controlling health hazards related to heavy metal pollution in food sources.

Examination of the efficacy of machine learning approaches in the generation of flood susceptibility maps

Flash floods stand as a substantial peril linked to climate change, imposing a severe menace to both human existence and built structures. This study aims to assess and compare the effectiveness of four distinct machine learning (ML) methodologies in the production of flood susceptibility maps (FSMs) in Ibaraki prefecture, Japan. Additionally, the investigation aims to examine the influence of excluding plan and profile curvature factors on the accuracy of the resulting maps. The dataset comprised 224 spots, consisting of 112 flooded and 112 non-flooded locations, and 11 environmental factors. The models were trained using 70% of the dataset, while the remaining 30% was utilized for model evaluation using the ROC curve method. The results indicated that both the ANN-MLP and SVR models achieved notable accuracy, with area under curve values of 95.23% and 95.83% respectively. An intriguing observation was made when the plan and profile curvature factors were excluded, as it led to an improvement in the accuracy of the ANN-MLP model, resulting in an accuracy of 96.7%. Furthermore, the generated FSMs were classified into five distinct hazard levels. The northern region of the maps predominantly exhibited very low and low hazard levels, while areas located in the southern region, closer to main streams, demonstrated considerably higher hazard levels categorized as very high and high. Ultimately, this study marks novel endeavor to investigate the impact of the curvature factor on the precision of machine learning algorithms in the creation of FSMs, which serve as fundamental tools for subsequent investigations.

Micro-Zonation of hot spring manifestation site at Umbul Niti, South Lampung based on microtremor

In 2021, an intriguing event unfolded at Umbul Niti village when a resident’s well drilling endeavor unexpectedly yielded to a hot spring, thus transforming the site into a small local tourist attraction that captivates visitors and enhances local economies. However, it is crucial to prioritize the safety of visitors and infrastructure, considering the geological implications of hot springs are related to unstable weak zones that would be severely damaged when an earthquake strikes. Weak zones often exhibit heightened susceptibility to seismic events. Using Horizontal to Vertical Spectral Ratio (HVSR) analysis of micro-tremor data that was recorded for 40 minutes at 25 locations, the Amplification (A 0) and Natural Frequency (f 0) were obtained; then the Seismic Vulnerability Index (Kg ) were calculated. The study area has a dominant frequency of around 4.74 - 9.7 Hz indicating the dominance of hard Tertiary Type I soil from Lampung Formation (QTI). Kg value ranges from 0.08 - 3.57 interpreted as mostly low hazard level. However, in the NW - SE direction the value indicates a high Kg value which means a relatively high hazard level, passing through the hot spring location. Thus, the area at the NW-SE zone might require more specific treatment.

The Study of Erosion on Varoious Land Use in Paluh Besar Sub Watershed Using Geographic Information System

Erosion could be a sign of natural resources damage. It’s important to prevent the erosion that had to predict in each land cover to sustainability of natural resources. This study aimed to predict the erosion value in each land cover unit using Universal Soil Loss Equation (USLE) Method with Geographic Information System. The study showed that the highest erosion occurs in residential area which valued 138.11 ton/ha/year and the lowest occur in pond that valued 0.3 ton/ha/year. The highest erosion hazard level occur in residential area that classify moderate (III) and the lowest erosion hazard level is pond that classify low hazard level (I).

Uniform deformation distribution of structures at different seismic hazard levels using endurance time method

This paper evaluates the application of the endurance time method in the optimum performance design of structures using the uniform deformation theory. The structures used in this study include shear-building systems with 5, 10, and 15 stories, and steel moment-resisting frames with 3, 7, and 12 stories. Initially, shear-building systems are optimized to have uniform story ductility ratios at low, moderate and high seismic hazard levels separately using three sets of ground motion records and a compatible series of endurance time acceleration functions. The effectiveness and accuracy of the endurance time method are assessed by comparing lateral force distribution obtained from this method with its corresponding attained from ground motion records. Moreover, as the number of stories and target ductility increases, the compatibility of these two methods improves. However, it is found that the optimum structure at one seismic hazard level does not necessarily lead to the optimum structure at other seismic hazard levels. Next, by adding dampers with gap to the systems, a procedure is suggested to optimize these structures at different seismic hazard levels simultaneously. These dampers are activated at moderate and high seismic hazard levels. Finally, similar optimization algorithm is used for steel moment-resisting frames to make their story drift ratios or plastic hinge rotations uniform along the height at different seismic hazard levels. Results show that combining endurance time method and uniform deformation theory leads to a promising optimization procedure that can significantly reduce computational costs with reasonable error.

РЕКУПЕРАЦИЯ НЕФТЕСОДЕРЖАЩИХ ПРОМЫШЛЕННЫХ ОТХОДОВ КАК ФАКТОР СНИЖЕНИЯ УГРОЗ ТЕХНОСФЕРНОЙ ОПАСНОСТИ

The relevance of the study is predetermined by the unresolved problems of disposal of oil-containing waste in the Yaroslavl region. The purpose of the study was to analyze the system for preventing technospheric hazards caused by the formation of industrial waste and their negative impact on the environment. The object of the study was industrial waste, highly hazardous to the environment, characteristic of a number of enterprises in the region: acid tar. The subject of the study was the process of optimizing the composition of a bitumen binder based on acid tar in terms of the content of galvanic sludge, captax and sulfur for subsequent use in a modified form as a secondary oil-containing raw material for the production of bitumen emulsions, pastes, and lubricants. Such raw materials, technologically brought to a low-hazard level, can be successfully and effectively used in various production operations of construction, reconstruction, operation, and repair of facilities. The optimization process was carried out using statistical research methods using, during modeling, the obtained dependence of the withdrawal properties on the factors of a second-degree polynomial with two unknowns. Calculations were performed using an Excel spreadsheet package with built-in mathematical local calculation programs. The research results in the technological part have been patented and implemented in the practical activities of enterprises in the region. The value of scientific and practical developments lies in reducing the volume of formation and storage of hazardous oil-containing acid tar waste and, as a consequence, preventing and reducing the level of technospheric danger and potential man-made emergency situations.

Unravelling the Complexity of Flood Hazards: A Comprehensive Review of Characteristics and Risk Assessment

Understanding the characteristics of flood hazards is crucial since it is one of the basic indicators for determining the risk of loss level. The elements of a hazard are often interpreted with varying connotations, especially flood hazards. In fact, the characteristics and scales that measure a flood hazard level also vary from one study to another. Therefore, the aim of this paper is to understand the characteristics of flood hazards and their influence on the risk of loss level by reviewing previous research. Generally, the flood hazard level can be determined according to certain characteristics, such as depth, velocity, duration, amount of discharge, flood flow force, flood intensity and energy head. Based on these characteristics, the flood hazard level can be classified into three or four levels: low, medium, high; or low, medium, high and extreme. From the aspect of depth, for example, floods with a height less than 0.5 meters and more than 1.5 meters are categorised as low and high hazard levels, respectively. In terms of frequency, floods that occur less than 6 times a year are considered as low hazard level, while those that occur more than 11 times a year are classified as extremely hazardous. The higher the flood hazard level in an area, the greater the risk of loss. Therefore, understanding the characteristics of a flood hazard will aid in determining or assessing the risk of loss in any particular area.

Identification of the Overall Slope Pit Angle Value for Erosion Control in Disposal Land

Open-pit mining can cause changes in environmental conditions, especially in disposal land. The formation of gully erosion on disposal land tends to increase as the area of open land increases. The aim of this research is to calculate the amount of erosion and the geometry of the bench terrace as a form of recommendation for reducing the rate of erosion. The methodology used is the USLE (Universal Soil Loss Equation) method approach in predicting the amount of erosion and an empirical approach in providing recommendations to reduce the rate of erosion for conservation measures in the form of bench terraces. The results showed that the erosion formed on disposal land was 123.43 tons/ha/year with a range of 60-180 tons/ha/year in the category of moderate erosion hazard. While for the dimensions of bench terraces recommended on disposal land, the overall slope pit angle value was 46,60 with a maximum single slope pit angle on the bench of 600 (16.6%). Bench dimensions in the form of bench terraces will have a major influence on the overall slope pit angle value formed. The smaller the width of the bench formed with the single slope pit angle, the greater the value of the overall slope pit angle formed. In addition to the width of the bench that affects the value of the overall slope pit angle is the height of the disposal slope. The height of the disposal slope will be directly proportional to the decrease in the overall pit angle slope, to the number of benches formed. With soil conservation measures in the form of traditional terraces in the form of bench terraces with a value factor of 0.4 in open land without vegetation, it can decrease from 123.43% (tons/ha/year) to 49.37 tons/ha/year ranging from 15-60 tons/ha/year with the category of low erosion hazard level, and or about 39% reduction in erosion that occurs.

First paleoseismic data from the Balkan Range

The normal faults along the Balkan range front integrate great tectonic relief, prominent basin-and-range morphology, historic seismic quiescence, and ongoing dilatation rate varying near zero. The official standards prioritize the instrumental seismicity in a random model of earthquake occurrence, and the region is assessed at low seismic hazard levels. The need of geologic data on earthquake occurrence motivated us to excavate the first paleoseismological trench in the Balkan Range. We trenched the Zlatitsa normal fault, which occupies the westernmost position within a zone of localized strain along the Central Balkan Range. The trench exposure revealed two surface-rupturing earthquakes generated at a long-term slip rate lower than 0.04 mm/yr, probably about 0.02 mm/yr for the past 42 thousand years. A stratigraphic hiatus between the earthquake records, coincident with the Last Glacial Maximum, results in large uncertainties in the estimated inter-event time, yielding 13.2–33.4 kyr (95 % confidence interval). The new data suggest that the strain is released by regionally distributed faulting. The Zlatitsa fault may form spatial clusters with the neighboring faults, analogous to the two M6.8–7.1 earthquake pairs in 1904 and 1928, south the studied location. The time elapsed since the most recent earthquake on the Zlatitsa fault is 1–15 % from the duration of the previous seismic cycle. The geodetic dilatation rate in the fault vicinity most likely exceeds several times the paleoseismic dilatation rate. However, the geodetic rate eastward from the fault is nearly identical to the paleoseismic rate obtained in the trench. Assuming exponentially decreasing fault reloading, the Zlatitsa fault may still undergo rapid stress restoration, whereas the time elapsed since the most recent earthquakes on faults to the east may be longer than the corresponding relaxation time.

Risk assessment of microplastics in fish assemblage based on ecological preferences in an interconnected and polluted river system

Risk assessment of microplastics (MPs) contamination in the assemblage of 15 important fish species with different feeding habits and microhabitats was studied in the River Ravi, Pakistan. Fishes with different feeding habits (omnivore, herbivore, and carnivore) and microhabitat preferences (surface, column, and bottom dweller) were sampled at Balloki and Sidhnai barrages during the post-monsoon seasons of 2019–2020. The gastrointestinal tract (GIT) of fish samples were found to be contaminated with MPs, with an average of 28.1 ± 20.7 MPs/individual and 26.8 ± 15.9 MPs/individual at Balloki and Sidhnai barrages, respectively. The surface dweller fish exhibited the highest MPs abundance, followed by the bottom dweller and column dweller. In addition, the highest MPs recovered from the omnivore generalist feeding group as compared to herbivores and carnivores. The fibers were the most abundant shape and generally made up of polyethylene terephthalate (PET) and polyethylene (PE). These PET and PE (low-density MPs) exhibit low hazard level, whereas high-density MPs with high hazard level and rarely present in GIT of sampled fishes. Based on MP polymer toxicity assessment, nine fish species were categorized in minor risk, two species in medium risk, and four species in highrisk group. Bottom dwelling fishes were at the highest plastic polymer risk level III due to the presence of a high density of MPs with high toxicity hazards. The high-risk prone fishes are under direct threat from MPs pollution, which may disrupt the ecological integrity of the river ecosystem and human health. The findings of the current study highlight the urgent need to address plastic pollution issues in River Ravi, and will be helpful for managers, researchers, and fisheries experts to mitigate this emerging challenge.speciesspecies

SOIL CONSERVATION MODEL USING INTERCROPING SENGONCOFFEE METHOD TO REDUCE EROSION YIELD

The increasing demand of sengon wood (paraserianthes falcataria) as an industrial material that has high price in East Java province, especially in Jember district leads to increase deforestation on people forest as well as land use land cover change (LULCC) on agriculture areas. Study on Tanggul watershed which is the one of three biggest watersheds in Jember where LULCC into sengon plantations shown that erosion yields on sengon plantations was dominating by medium to very high erosion hazard level. The identification and conservation method used in this study is RUSLE and the conservation model used is sengon-coffee intercropping. The effeciveness criteria used is erosion yield on the field decreases until low level of erosion hazard level (below 60 tons/hectares/year). The 208 samples of sengon plantations were used to identify erosion yield and the results show that 75.9% of sengon plantations in Tanggul watershed have moderate to very high erosion hazard level with an average erosion yield at 257.49 tons/hectares/year. While simulation of scenario 1st, 2nd and 3 rd intercropping conservation model resulting erosion yield 158.2; 131.8; and 97.7 tons/hectares/year respectively. In this case, 3rd scenario is effective to reduce erosion yield to low level of erosion hazard level by 65% of total plantations. However, other conservation model still needed to be added in the sengon plantation to reduce erosion in low hazard level.

ANALISIS SPASIAL DAERAH RAWAN BANJIR DI DAS WAE HERU, KOTA AMBON

The intensity of the high rainfall resulted in the overflow of the Wae Heru watershed, which resulted in a catastrophic flood that hit residential areas around the watershed. This study aimed to analyze spatially the level of flood hazard and its exposure to settlements in the Wae Heru watershed, Ambon City. This research used overlay technique, scoring method and weighting using ArcMap 10.8 software as a Geographic Information System (GIS) based approach. The variables used included rainfall, elevation, slope, soil type, land cover and distance from the river. The results showed that the flood hazard level was dominated by a low hazard level of 361.28 ha and the flood exposure level in settlements was dominated by a high hazard area of 54.68 ha. The results of the study are expected to be useful in flood mitigation efforts to minimize losses, both fatalities and physical damage.

MICRO-ZONATION STUDY OF POTENTIAL SEISMIC HAZARDS BASED ON PEAK GROUND ACCELERATION (PGA) VALUE IN THE NORTH KONAWE OFFICE AREA

The purpose of this study was to determine the potential for seismic hazard based on the peak ground acceleration value in the North Konawe office area. This study uses the HVSR method to obtain the dominant frequency, amplification factor, dominant period, seismic vulnerability index and Peak Ground Acceleration. The results obtained from the microzonation of the distribution of the dominant frequency value with a high category were found at 5 measurement points, the amplification factor with a low category was found at 1 measurement point, the dominant period with a low category was found at 6 measurement points and the seismic vulnerability index with a low category was found at 5 points. measurement. Overall the research area is included in the level of seismic hazard risk, not high potential but in the low category. While the microzonation of the distribution of PGA values ​​obtained values ​​ranging from 23,2381-23,3231 gal which belong to the low seismic hazard risk level. Where it can be described in this area the earthquake that occurred can be felt by many people but caused damage. The light objects that were hung swayed and the windows shook. So it can be concluded that this research area is included in the category of low seismic hazard level

Landslide Hazard Assessment and Distribution Mapping: A Case from Triveni Rural Municipality, Nepal

An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural municipality of Rukum West district and it covers three wards (3, 4 & 5) of rural municipality covering the total area of about 33.52 square kilometres located in the Karnali province of Nepal which is under the pressure of high road construction activities. Data used to construct the landslide distribution map and hazard assessments were obtained from the direct field, and mapping using GIS. More data sources and verifications were made from the rural municipality, published articles and journals, topographical and geological maps, google images and aerial photographs and other digital sources. To determine the factors and classes influencing land sliding, the layers of topographic factors derived from a digital elevation model, geology, and land use/land covers were analyzed and the results were used for landslide distribution mapping and hazard analyses. From the landslide inventory of more than 200 landslides that were occurred during the last five years since 2015, the landslide distribution map, landslide-size distribution map and hazard level of sliding graphics were presented. Hazard map of the study area shows 4.34% area lies in the high hazard level, 53.64% on moderate hazard level and 42.02% in low hazard level in the study area. The results would give insights to the landslide distribution in the area that could support rural municipality for shaping disaster risk reduction policies and strategies.

Data-driven optimization of repair schemes and inspection intervals for highway bridges

Routine bridge inspections enable timely maintenance plans based on potential risks. These inspections are performed at fixed time intervals, which may be unnecessarily short for bridges in excellent conditions and precariously long for those in poor conditions. Also, deterioration models used in current bridge management approaches fail to include the effect of age, causing inaccurate predictions. This paper develops a hazard-based bridge management approach where inspection frequencies and repair suggestions are optimized based on hazard levels. A two-dimensional Markov model describes the age-dependent bridge deterioration, and a semi-Markov decision process optimizes inspection intervals and repair decisions. The objective is to minimize the expected long-term total annual costs, including expenses associated with maintenance and traffic detours. The modeling process and maintenance management framework was demonstrated on an example bridge superstructure in New York. The results showed lower annual and total costs than the conventional management method. As expected, sensitivity analyses indicated that the pre-specified choices of inspection intervals for low and high hazard levels have a significant effect on the calculated hazard threshold levels. The proposed maintenance management method is adaptable and practical; bridge authorities can identify appropriate repair actions and make inspection decisions based on simple threshold comparisons.

LANDSLIDE HAZARD LEVEL IN PASURUAN REGENCY

Pasuruan Regency is an area with potential for landslides, particularly along the Arjuno-Welirang Slope and the Bromo Tengger Semeru National Park (TNBTS). Geographical conditions, high slopes, and andosols and litosols that are easily eroded, further exacerbated by human activities such as land-use changes, lead to increasingly high landslide potentials. The TNBTS Area and Arjuna-Welirang Mountains are priority destinations for national tourism. Therefore, efforts for disaster risk reduction are imperative. Assessment of landslide hazard levels is necessary as a basis for landslide mitigation. The analysis used to assess landslide susceptibility was the overlay of two maps: a map of landslide-potential zones and a map of potential runout zones produced from the model by Horton et al. (2008) employing the flow direction algorithm. Analysis results indicate that landslide hazards in Pasuruan Regency mostly comprise the low hazard (29,924.73 hectares), followed by high landslide hazard (17,421.39 hectares), and moderate landslide hazard (2,161.8 hectares). The high hazard level is found in Tosari District due to being located close to Mount Bromo, whereas low hazard levels are mostly seen in lowland areas.

Distribution characteristics and potential ecological risk assessment of heavy metals in soils around Shannan landfill site, Tibet.

At present, sanitary landfill is mainly used for domestic waste treatment in Shannan City, Tibet. However, there are few studies on heavy metals in the soil around the landfill in Shannan city. Therefore, the surrounding soil of Luqionggang landfill in Shannan City, Tibet Autonomous Region, is taken as the research object. In the study, the geo-accumulation index method, Nemerow comprehensive pollution index method and potential ecological risk index method are mainly used to evaluate the pollution and risk of heavy metals in the soil around the landfill site. The main results are as follows: The average pH value of the soil around the landfill site is 9.37, belonging to the strong alkaline range. The average values of heavy metals Hg and Ni in soil exceeded the background content, and the average contents of other heavy metals Cu, Pb, Zn, Cr, As and Cd did not exceed the background content. The average content of these eight heavy metals did not exceed the screening value of the national soil environmental quality standard. In the horizontal direction, the average content of heavy metal elements Cu, Cr, Cd, Hg and Ni is relatively high in the west. The average content of heavy metals As, Zn and Pb in the north, east and south is slightly higher than that in the west. And the farther away from the landfill, the less the soil is affected by heavy metals. The evaluation results of geo-accumulation index show that heavy metal Hg is the most affected. The average value of the comprehensive pollution index is 2.969, which is between 2 and 3, belonging to the moderate pollution level. And the west side of the landfill (downstream area) is greatly affected. The evaluation results of potential ecological hazard pollution index show that the potential risk index of single pollutants of heavy metals Cu, Pb, Zn, Cr, Ni, As and Cd belongs to low ecological hazard level, and the potential risk index of single pollutants of heavy metal Hg belongs to relatively heavy ecological hazard level. On the whole, the total potential risk coefficient belongs to medium pollution hazard degree. According to the correlation analysis, there is no significant correlation between heavy metal elements As and Hg and the other six heavy metal elements. In addition, the pollution source of heavy metal As may be mainly soil forming factors and the pollution source of Hg may be mainly human factors.

Analysis of Soil Acceleration in The Mentawai Region with The Method Probabilistic Seismic Hazard Analysis (PSHA)

The Mentawai Islands are one of the areas that are active in seismicity. An earthquake measuring 7.2 on the Richter scale on October 25, 2010 resulted in many casualties and material losses. Many buildings collapsed and facilities were damaged so that space managers needed a seismic hazard map to be able to organize the space by considering the disaster aspect. This prompted researchers to conduct research aimed at making seismic hazard maps and knowing the level of earthquake hazard in the Mentawai region. Seismic hazard maps are useful in planning earthquake-resistant buildings and can describe the effects of earthquakes at a location which will help in anticipating community preparedness and earthquake disaster mitigation efforts. Seismic hazard data processing uses the Probabilistic Seismic Hazard Analysis (PSHA) method. PSHA is based on earthquake parameters that produce the largest ground motion. The magnitude of the intensity at a location due to an earthquakein the earthquake source area with a magnitude of M and a distance of R, the attenuation function can be used. The attenuation functions in this study are Joyner-Boore (1997) and Young et al (1997). This type of research is descriptive, namely by collecting NEIC/USGS earthquake catalog data for the period 1950 - 2021 with M 5 SR.The results of this study indicate that the area of ywhich has a high level of seismic hazard is found in the Siberut area with a maximum PGA range of 1.17 g - 3.70 g. The area with a low seismic hazard level is the Pagai area with a PGA range of 0.80 g - 2.86 g. This result represents a 10% chance of being exceeded in 50 years.