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Maran Gultom
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The Morphotectonic And Neotectonic Response In Apaumagida, Enarotali And Pegunungan Legare Area Papua Gultom, Maran; George Aiwoy, Fence; Kornelis Tipawael, Theopilus; Anakotta, Saneraro
International Journal of Science, Technology & Management Vol. 4 No. 6 (2023): November 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i6.857

Abstract

The verification of morpho-tectonic responses were indicated by changing of the lineament, the river segment azimuth, the mountain front sinuoucity, the mountain front facet in rock formation between lately and early geological period, controlled by neotectonic for bifurcation ratio and drainage density in Quarternary morphometry. There are three research areas namely Apaumagida Area represented by Permian–Triassic at coordinate 135°18’11,88” E - 135°43’20,14” E and 3°56’17,59” S - 4°8’28,44” S, Enarotali Area represented by Cretaceous–Paleocene at coordinate 136°18’45,08” E - 136°29’42,00” E and 3°53’34,75” S - 4°5’16,03” S, and Legare Mountain Area represented by Tertiary– Quarternary at coordinate 135° 28’ 54,87” E - 135° 47’ 16,80” E and 3° 25’ 31,17” S - 3° 6’ 6,25” S. Conclusion by different test and regression-correlation test for lineaments, river segments, mountain front sinousity and mountain face facet between Permian -Triassic, Cretaceous-Palecene and Tertiary - Quarternary are significant different to indicated that tectonic roled actively in geomorpho-tectonic in research area. Furthermore, by the neotectonic controlled, there is similarity between bifurcation ratio and drainage density in Quarternary indicated that tectonic roled actively to forms morphology in Central Mountain Papua.
The Deformation Responses As The Resulted Of The Tectonics In Apaumagida (Apowo), Enarotali And Legare Mountain Area of Papua Province Gultom, Maran; Dandy Waromi, Doodle; Abdurrachman, Mirzam; Yaner Ayomi , Iwan; Steven Wetipo, Yafet; Disti Mambrasar , Ela
International Journal of Science, Technology & Management Vol. 5 No. 6 (2024): November 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i6.1212

Abstract

The deformation phenomenon in Central Mountain of Papua Province is very complex, isn’t there the uniformity of geology structure pattern (folds, joints, faults) as resulted of tectonics or reactivations of the geology structure of the lately rock to the upper early rock?. Therefore, measuring the geology structure had to be done with the surface geological mapping and the measured section traverse in the field. The research area distributed in three boundaries of tectonics in coordinate 135° 00’ 00” East - 136° 30’ 00” East and 3° 00’ 00” South - 4° 40’ 00” South. There are three research areas namely the Apaumagida area represent the Permian – Triassic Periods in coordinate 135°18’11,88” East - 135°43’20,14” East and 3°56’17,59” South - 4°8’28,44” South, the Enarotali area represent the Cretaceous – Paleocene Periods in coordinate 136°18’45,08” East - 136°29’42,00” East and 3°53’34,75” South - 4°5’16,03” South, and the Legare Mountain area represent the Tertiary – Quaternary Periods in coordinate 135° 28’ 54,87” East - 135° 47’ 16,80” East and 3° 25’ 31,17” South - 3° 6’ 6,25” South. According to the result and discussion, conclusioned that the direction of folds, jonts, faults were different between the oldest periods to the youngest periods, indicated by the direction diffrent of principal stress on N 5° – 27°E in Permian Period, N 349° - 358°E in Triassic Period, N 15° – 32°E in Cretaceous period, N 45° 54° E in Paleocene Period, N52° – 74°E in Tertiary Period N74°-78° E in Quarternary. Therefore, there were general pattern in the diffrent of folds, joints and faults from Permian – Triassic and Cretaceous – Paleocene but there’s conformity from the Tertiary – Quarternary. The general conclusion that the tectonic is actively roled for the geology structure developing in Central M.ountain area since Paleozoic to Quaternary.
Analysis of Trends and Correlation Between Ground-based PM₂․₅ and Satellite AOD in Jakarta (Dec 2022–Mar 2025) Abednego Gultom, Marthin; Gultom, Maran
International Journal of Science, Technology & Management Vol. 6 No. 3 (2025): May 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i3.1216

Abstract

Monitoring of PM₂․₅ concentrations in urban areas such as Jakarta is crucial given its impact on public health (WHO, 2021) and the urban environment (Zhang et al., 2020), where measuring PM₂․₅ levels is essential for assessing air quality and health risks in metropolitan regions, including Jakarta. However, the limited number of ground-based monitoring stations and variable weather conditions often result in uneven PM₂․₅ data availability (Alim et al., 2023). As an alternative, satellite-derived Aerosol Optical Depth (AOD) can serve as a proxy for particulate pollution monitoring (Liang et al., 2018).This study aims to analyze the temporal trends and quantify the correlation between ground-based PM₂․₅ and satellite AOD in Jakarta from December 2022 through March 2025. PM₂․₅ data were obtained from five Air Quality Monitoring Stations (SPKU) located in Kebon Jeruk, Bundaran HI, Kelapa Gading, Lubang Buaya, and Jagakarsa, while AOD was extracted via Google Earth Engine (MODIS MCD19A2) at the same five locations. Key methods include additive seasonal decomposition of each time series, calculation of Pearson and Spearman correlation coefficients, and cross-correlation analysis to determine the optimal lag. The results indicate that both PM₂․₅ and AOD trends rose from mid-2023, peaked in early 2024, and then gradually declined through late 2024; monthly correlations were very strong (Pearson r = 0.71, p < 0.001; Spearman ρ = 0.76, p < 0.001). Seasonal analysis revealed concentration maxima during the dry season (June–September) and minima in the wet season (December–February). Cross-correlation shows that AOD leads PM₂․₅ fluctuations by one month (lag +1). These findings underscore the potential of satellite AOD as a monthly proxy for estimating PM₂․₅ in Jakarta, supporting more spatially and temporally comprehensive air quality monitoring than ground-based networks alone. In conclusion, satellite AOD can be used as a supplementary indicator for PM₂․₅ air quality monitoring in Jakarta, particularly to fill gaps in ground-based PM₂․₅ data coverage.
Co-Authors Abdurrachman, Mirzam Abednego Gultom, Marthin Anakotta, Saneraro Dandy Waromi, Doodle Disti Mambrasar , Ela George Aiwoy, Fence Kornelis Tipawael, Theopilus Steven Wetipo, Yafet Yaner Ayomi , Iwan