Preliminary Estimation of Engineering Bedrock Depths from Microtremor Array Measurements in Solo, Central Java, Indonesia

Koesuma, Sorja; Ridwan, Mohamad; Nugraha, Andri Dian; Widiyantoro, Sri

doi:10.5614/j.math.fund.sci.2017.49.3.8

Cited by 15 publications

(5 citation statements)

References 12 publications

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“…This method was developed by Figure 1. Geological map of Surakarta city, the solid yellow dot is geoelectric survey locations (modified from Koesuma et al, 2017) Aller et al in 1987 for the US Environmental Protection Agency (Putranto et al, 2016). Assessment of groundwater vulnerability uses seven hydrogeological parameters, including depth of water table (D), net recharge (R), aquifer media (A), soil media (S), topography (T), impact of vadose zone (I), and hydraulic conductivity (C) (Wachniew et al, 2016).…”

Section: Drastic Methodsmentioning

confidence: 99%

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Groundwater Vulnerability Comparison Using DRASTIC and GOD Methods in Surakarta City

Koesuma,

Ramelan,

Sutarno

2024

IJG

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Demographic growth, urbanization, economic development, agriculture, and consumption per capita have increased the demand for water resources. The population density of Surakarta affects the city’s ability to fulfil its residents’ clean water requirements. As an urban region, Surakarta may be impacted by development activities that degrade the quality and quantity of groundwater. This growing demand should be balanced against effective management of water source regions. This research aims to investigate groundwater vulnerability in Surakarta City. We employed the DRASTIC and GOD methods and compared both results. These methods used the overlay and indexing approaches using GIS based on field data and secondary data such as drill, rainfall, and topographic data. The results of DRASTIC show three types of vulnerability: high (0.21%; 9.87 ha), moderate (94.22%; 4,355.98 ha), and low (5.56%; 257.25 ha), while GOD method results in high (7.03%; 324.96 ha), moderate (52.90%; 2,445.84 ha), low (38.69%; 1,788.81 ha), and negligible (1.37%; 63.49 ha). Based on both methods, we identified Banjarsari district as a location with high groundwater vulnerability. The correlation coefficient between the two methods is 0.511. This value shows that the correlation criteria are acceptable and comparable. This research can be used by local authorities and policymakers to manage groundwater resources.

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Section: Drastic Methodsmentioning

confidence: 99%

“…The city is covered by quaternary sediment, which is mostly alluvium. The stratigraphic sequence follows the metamorphic rock consisting of schist, marble, altered volcanic, and sedimentary rock, the oldest formation in this area (Koesuma et al, 2017).…”

Section: Description Of Research Areamentioning

confidence: 96%

Groundwater Vulnerability Comparison Using DRASTIC and GOD Methods in Surakarta City

Koesuma,

Ramelan,

Sutarno

2024

IJG

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“…The information of the wave propagation from bedrock to soil surface has been studied using ground response analysis and indicates that the soil layer of Surakarta tends to amplify the ground motion of the earthquake wave. The geophysics study using microtremor analysis was later reported that the location of bed rock surface of Surakarta is at a depth variation of 145 m to 185 m [19]. The result of the geophysics studies also provided the information of shear wave velocity at a depth of 30 m from the surface and the variation of seismic site class map of Surakarta [20].…”

Section: Figure 1 the Location Of Surakartamentioning

confidence: 97%

Assessment of Seismic Loss in Surakarta School Buildings

Purwana¹,

Goro²,

Fitri³

et al. 2022

cea

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Surakarta is a relatively small yet is categorized as a densely populated city. There are a lot of types of public buildings, such as hospitals, supermarkets, government infrastructures, and school buildings. The city has more than 1100 school buildings threatened by many potential earthquakes. The possibility of an earthquake hitting Surakarta may be fatal and cause significant losses of buildings. However, studies on seismic hazard of the city are still very rare and need more attention. This paper presents a recent study on the seismic loss assessment of school building in Surakarta. The survey has been conducted by a team to visit, check, record and document all the required information to obtain exposure, combined with the information from google map application, while the seismic hazard analysis was carried out using the event-based stochastic method. An open-source application, OpenQuake, was utilized to assess the seismic loss and the results were presented here. The elaborated analysis is presented concluding that the exposure and vulnerability of school buildings are very important factors to determine a risk of loss. It indicates that the wooden school building contributes a highest risk of loss, whereas the confined masonry ones give a lowest risk. Among the whole sub districts in Surakarta, it is assessed that Laweyan suffers the biggest seismic loss of 2.36 million USD due to 500 years return period earthquake and 5.39 million USD due to 2500 years return period earthquake. These results of this study are valuable information for government in order to overcome disaster mitigation policy of Surakarta.

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“…The ambient vibration data collected using the single station and array microtremor results were analyzed using the horizontal to vertical spectrum ratio (HVSR) and inversion methods [4][5][6][7]. The purpose of HVSR analysis is to predict the bedrock elevation at the microtremor test position.…”

Section: Microtremor Investigationmentioning

confidence: 99%

Site Soil Classification Interpretation Based on Standard Penetration Test and Shear Wave Velocity Data

Partono

Asrurifak

Tonnizam

et al. 2021

J. Eng. Technol. Sci.

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Site soil classification provides vital information for predicting the soil amplification or the site factor. The site factor is important for calculating the surface spectral acceleration in the seismic design of buildings. Based on the Indonesian seismic code, site soil classification can be conducted by calculating the average standard penetration (N-SPT) resistance, the average shear wave velocity (VS) and the average undrained soil strength (Su) of the upper 30 m of a subsoil layer. Different results may be obtained at the same location when the site soil classification is predicted using N-SPT than when using VS data. The restriction of N-SPT values until a maximum of 60 compared to a VS maximum of 750 m/sec can produce different soil classes and will directly impact the calculation of the surface spectral acceleration. This paper describes the different results of site soil classification prediction calculated using the average N-SPT and the average VS, conducted at Semarang City, Indonesia. Site soil classification maps developed based on both datasets are also presented, to evaluate the different site soil classification distributions. Only soil classes SD and SE were observed using N-SPT maximum 60, whereas soil classes SC, SD and SE were observed using N-SPT maximum 120.

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Preliminary Estimation of Engineering Bedrock Depths from Microtremor Array Measurements in Solo, Central Java, Indonesia

Cited by 15 publications

References 12 publications

Groundwater Vulnerability Comparison Using DRASTIC and GOD Methods in Surakarta City

Groundwater Vulnerability Comparison Using DRASTIC and GOD Methods in Surakarta City

Assessment of Seismic Loss in Surakarta School Buildings

Site Soil Classification Interpretation Based on Standard Penetration Test and Shear Wave Velocity Data

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