Journal of Geoscience, Engineering, Environment, and Technology
ISSN / EISSN : 2503-216X / 2541-5794
Current Publisher: UIR Press (10.25299)Former Publisher: Journal of Geoscience, Engineering, Environment and Technology (JGEET) (10.24273)
Total articles ≅ 156
Latest articles in this journal
Published: 23 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 234-238; doi:10.25299/jgeet.2020.5.4.5983
Groundwater is the main water resource especially for daily water needs. Population growth and urbanization have increased demand for water while the availability of groundwater has decreased both in quality and quantity. Various human activities also produce industrial, agriculture and municipal waste that can pollute groundwater through leaching process. The purposes of this study are to determine the quality of groundwater around tofu industrial factory and its evaluation for drinking water based on Health Minister Regulation No.492/MENKES/PER/IV/2010 and Government Regulation No.82 2001.The temperature, pH, total dissolved solids (TDS) and electrical conductivity (EC) were measured by using YSI-Pro. Chemical Oxygen Demand (COD) and Biochemical Oxygen Demand (BOD) were measured based on SNI 06-6989.2.2009 test method and SNI 06-698.72.2009 test method, respectively. Physically, groundwater had temperature average 28,60C, TDS 243 mg/L and EC 396 µS/cm. Almost all groundwater were acidic with pH average 5,6 and did not meet the drinking water quality requirements. Groundwater had COD average 78 mg/L, BOD average 36 mg/L and it were classified into moderate-heavy pollution. It indicated that groundwater may have been contaminated by organic material from tofu industrial wastewater. Therefore, groundwater should not be used as a source of drinking water.
Published: 23 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 239-244; doi:10.25299/jgeet.2020.5.4.5495
Clean water requirement in Manggar Urban Village of Balikpapan City is rising along with population growth. The main source of clean water that can be used is ground water in the aquifer layer. The Study of groundwater potential was conducted using vertical electrical sounding (VES) method to determine the presence and types of aquifer layers. The measurements along four measurement points revealed four aquifers buried in depth ranging from 48 to 53 m below the surface. The layer which is potential to be an aquifer is a sand layer with moderate-sized grain. The resistivity values for sand layer at each measurement point vary from 221 to 281Ωm. The estimation of sand to be an aquifer layer was supported by the calculation of formation factors. The calculation was based on the ratio of resistivity values from pore-filling water and resistivity values from water-saturated rocks layer. The aquifer revealed in this study is categorized as unconfined aquifer because the upper layer is restricted by sandy clay. The resistivity values vary from 12.8 to 35.4 Ωm which behaved as an aquitard layer. However, low resistivity values between 9.6 to 20 Ωm are detected under the aquifer layer. The layer is identified as clay which behaved as an impermeable layer or aquiclude.
Published: 18 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 227-233; doi:10.25299/jgeet.2020.5.4.4266
Time-lapse resistivity method is an implementation of the resistivity method that is executed exactly at the same spot but with various in time. In this study, the technique uses to identify the dynamics of groundwater fluids. The application of the time-lapse resistivity method was carried out by performing a sandbox model simulation that contains layers of rocks with a fault structure. The rock layers consist of tuff, fine sandstone, shale, coarse sandstone, gravel that represents confined and unconfined aquifers. The simulation was achieved by applying the Electrical Resistivity Tomography (ERT) dipole-dipole configuration at the same place, and measurements with 3 different conditions, namely dry, wet conditions filled with 2.5% water and wet conditions filled with 5% water. Data acquisition uses Naniura resistivity meters with a track length of 96 cm. The first measurement results (dry conditions) obtained a range of resistivity values from 3.7 to 168.1 Ω.m, the second measurement (wet conditions filled 2.5% water) obtained the range of resistivity values from 3.3 to 110.8 Ω.m and the third measurement (wet conditions) filled with 5% water the resistivity values range from 1.7 to 91.2 Ω.m. Following the results of time-lapse inversion processing, a larger percentage change in the amount of 5.6% due to water absorption by the surface which then migrates into the inner layer. Whereas the percentage of desaturation ranges is from -3.11 to 0.217 %, refer to Archie’s Law assumes conduction is caused by water content.
Published: 18 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 219-226; doi:10.25299/jgeet.2020.5.4.5653
Potential natural hazards in Palu City by paying attention to the real physical characteristics of Palu City are categorized as having a high level of disaster hazard. The geological character of both the geological structure and geological engineering in the Palu region shows the great potential for geological disaster hazards. On September 28, 2018, at 18: 02 CIT, an earthquake measuring 7.4 on the Richter scale, the quake's center located in 26 km of Donggala district and 80 km northwest of Palu City. By observing the epicenter's location and the depth of the hypo-central earthquake, it appears that this shallow earthquake occurred due to activity in the Palu Koro fault zone. This fault is the most active in Sulawesi and is the most active in Indonesia with a movement of 7 cm per year. Liquidity disasters or ground liquefaction are also the effects of an earthquake. Shocks a massive quake causes the soil to melt this thing occurs when the saturated soil loses strength and stiffness due to stress. The Petobo area and the Balaroa - Perumnas are close to the Palu Koro active fault line and the land in the area is composed of soft material from the sedimentation process. This area is shallow groundwater with high soil permeability values, namely in the Petobo area and Perumnas - Balaroa. The purpose of this study is to analyze the potential liquefaction disaster in Palu City and analyze the Palu City resident ability against Liquefaction Hazard Prone. This research uses a descriptive qualitative analysis method. Potential liquefaction disasters were analyzing qualitatively based on geological conditions and disaster locations. Disaster mitigation capabilities were analyzed qualitatively based on the Palu City Spatial Pattern. One of the hazards caused by an earthquake that has the potential to be a disaster in Palu City is liquefaction. The ability of residents to mitigate liquefaction in Palu City is influenced by local wisdom which is reflected in ancient times when people lived in the highlands or hills. the concept of building structures, land use, and spatial planning patterns in Palu City which can reduce the threat of liquefaction.
Published: 15 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 206-210; doi:10.25299/jgeet.2020.5.4.4112
The existences of several hot springs between Slamet volcano, Paguyangan, and Cipari Districts raised questions regarding their origin. Several studies have been conducted related to the hydrothermal system at the location. Subsequent studies are needed to understand the hydrothermal system at the research site for the sustainability and conservation of geothermal natural resources. This research has reviewed several previous studies plus the latest information on the origin of hot spring water with the help of deuterium (2H) and 18O isotopes. This study used geochemical analysis of hot springs (geothermal) and local meteoric water to obtain information on isotope values. This was used for the interpretation of the origin of geothermal water. This study also used regional geological analysis methods for the interpretation of the mechanism for the emergence of these hot springs. The results of the analysis informed that the origin of hot water was local meteoric water. The geological structure was weak enough to allow water from the geothermal reservoir to reach the surface and meteoric water into the reservoir.
Published: 15 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 211-218; doi:10.25299/jgeet.2020.5.4.5501
Lam Apeng is a village with a majority of people living as farmers, which causes the need of water for agriculture is increasing. The water demand in this area continues to increase as the population increases, for various purposes. The objective of this study is to determine the distribution of the groundwater layer using the electrical resistivity method and to determine groundwater potential using hydraulic parameters. This research is conducted using 2 measurement line with a length of each line is 112 meters and distances of each electrode is 2 meters. The data invert using Res2Dinv software to obtain 2D subsurface lithology subsurface. At line 1, the aquifer (sand) layer is located in the second layer with a rock resistivity value of 12 Ωm - 18.6 Ωm at a depth of 8 m - 18 m. At line 2, the aquifer (sand) layer is also located in the second layer with a resistivity value of 4.6 Ωm - 18 Ωm at a depth of 5 m – 12 m. Based on the interpretation of the two measurement lines, it can be concluded that the type of aquifer in the research site is a semi unconfined aquifer. In this study, hydraulic parameters (hydraulic conductivity, longitudinal conductance, transverse resistance, and transmissivity) was calculated based on the resistivity value and the thickness of the aquifer layer. The average resistivity of the aquifer layer used is 15.3 Ωm and 11.3 Ωm, respectively for line 1 and line 2, indicating that the aquifer was moderately corrosive. Longitudinal conductance values are 0.65 Ω-1 and 0.62 Ω-1 which indicated moderate protective capacity. The transmissivity values are 6.78 m2/dayand 4.77 m2/day, which indicates that the designation in this area is low and the groundwater potential is local or only for personal consumption.
Published: 2 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 199-205; doi:10.25299/jgeet.2020.5.4.5149
Since 2006, the mud volcano erupted in the Porong area due to wellbore failure triggered by an earthquake (2006) epicenter in the Jogjakarta area. The mud volcano buried several villages with mud and continued erupted until today. Based on the InSAR data, it can be seen that the subsidence is still happening near the dam area and another area that is not related to mud volcano eruption such as the production of two gas fields in the Porong area. Moreover, the Porong area is flat and low, less than 4 meters above sea level. The analysis shows that the subsidence rate in this area is up to 0.5 m/yr. If this subsidence is continuing, the city can be sinking and flooding during the rainy season. The prediction result from this method is about 10 years more and 36 years since in 2006 based on the mudflow rate method.
Published: 1 December 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 192-198; doi:10.25299/jgeet.2020.5.4.4737
Strengthening geospatial technology is very important in order to support disaster mitigation strategy, to manage vulnerable communities and to protectcritical environments. The main challenge in identifying disaster characteristics such as mass movements is the lack of direct observation during the event because it is too dangerous for researchers. Geo-Information Technology as a product of Geographic Information Science can be used as a solution in order to model the characteristics of mass movements. The purpose of this study is focused on identifying landslide processes from point of view ofraster-based model. The method of thisresearch emphasizes dynamic landslide model derived from timeseries raster calculation using MassMov2D algorithm. The geographic database that was built for spatial modeling comes from pedogeomorphological and Remote Sensing survey outputs, especially topographic data, landforms and soil physical properties. The result shows that the relationship between pixels (neighborhood) is determined by the topology of the energy gradient line direction which allowsto transfer the value between each pixel.The movement of landslide material starts from the toe. This decreases the stability of the landslide material in the main body of the landslide and generate progressive erosion.The raster-based model can finally reconstruct and identify the stages of initiation, transport and deposition landslide material.
Published: 25 November 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 186-191; doi:10.25299/jgeet.2020.5.4.5433
The aim of this research is to conduct surface geological mapping to determine the lithologies that underlies the linear geochemical characteristics of Ag, As, Cd, Co,Cu, Fe, Mn, Ni, Pb, Zn by using stream sediment data. Furthermore, to know the distribution of these elements lithologically in the area. This study uses 10 sediment stream samples of 80 mesh up to 100 mesh which then chemical elements are analyzed with AAS. Alteration mineralization occcurs in quartz chlorite geneiss: quartz, epidote, chlorite, muscovite, sericite, calcite, monmorillonite, pyrite, sphalerite, bornite and chalcopyrite. Based on linearity analysis elements are grouped into three according to the significant value of 0.3 to 0.9, which are significant elements Ni, Pb=Cu=Zn and As, abundant elements in lateralization and sulphide mineralization. The geochemical characteristics of the Ni element reflect the associated distribution of ultramafic weathering which results are transported regionally and together with other elements as stream sediments. While Pb, Cu, Zn are related to quartz veins in metamorphic or intrusive rocks.
Published: 1 September 2020
Journal of Geoscience, Engineering, Environment, and Technology, Volume 5, pp 175-185; doi:10.25299/jgeet.2020.5.3.4181
Walkable cities emphasize cities with high walkability values, where walkability can be defined as the degree to which the environment can be pedestrian friendly. Walkable city is considered to be able to increase people's desire to walk so that it can make the environment more humanistic and can also help realize one of the objectives of sustainable transportation. The value of walkability can be viewed from the perspective of the urban form (macro level) of an area. The Central Business District (CBD) Pekanbaru City walkability index assessment uses the WAI IPEN Project model that measures the form of the Urban Form. The walkability assessment process in the Pekanbaru Kota Sub-District Area (CBD) divides the study area into 6 grids. The analysis shows that there are 4 grids that have a negative walkability value. In the analysis of the walkability value pattern it can be seen that the area dominated by office activities has a lower walkability value compared to the area that has mixed land use.