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Estimation of Land Subsidence Using Sentinel Image Analysis and Its Relation to Subsurface Lithology Based on Resistivity Data in the Coastal Area of Semarang City, Indonesia

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Semarang city is the capital of the Central Java Province that is experiencing rapid urban growth. Land subsidence in Semarang has been widely reported and its impacts can be seen already in daily life. In order to minimize its damage, land subsidence monitoring is required as a part of natural disaster mitigation. On the other hand, understanding of the subsurface lithology conditions is needed to explore the causes of subsidence in certain areas. One of the methods of monitoring land subsidence is by utilizing Synthetic Aperture Radar (SAR) satellite image which is used in this research. In turn, the subsurface lithology can be studied with the geoelectric methods, one of which is the resistivity method. The purpose of this research is to estimate the land subsidence in the Semarang city using the Sentinel Image Analysis by means of the DInSAR Method and its relation with subsurface lithology studied using the resistivity geoelectric method. The result of the research shows that the average value of subsidence was located in the Genuk District area and Semarang Utara District area which each subsidence value is 9.8 cm/year and 12.7 cm/year. This is because the lithology under the surface of the two locations is clay and silt in a soft condition that is thicker than other locations. The saltwater content contributes to the consolidation process in the lithology. There is a tendency that land subsidence is greater in the port and industrial areas than in other regions, due to building loads.
Słowa kluczowe
Rocznik
Strony
47--56
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
  • Doctorate Program of Marine Science, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
  • Department of Oceanography, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
  • Department of Oceanography, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
  • Department of Physic, Faculty of Science and Mathematics, Universitas Diponegoro, Indonesia
  • Department of Oceanography, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
  • Department of Oceanography, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
Bibliografia
  • 1. Abidin H.Z., Andreas H., Gumilar I., Sidiq T.P., and Fukuda Y., 2012. Land Subsidence in Coastal City of Semarang (Indonesia): Characteristics, Impacts and Causes. Geomatics Natural Hazards and Risk, 4(3), 226–240.
  • 2. Abidin H.Z., H. Andreas, Gumilar I., and Wibowo I.R.R. 2015. On the correlation between urban development, land subsidence and flooding phenomena in Jakarta. Proceedings of the International Association of Hydrological Sciences 370, pp. 15–20
  • 3. Anjasmara I.M., Yulyta S.A., and Taufik M. 2017. Application of time Series InSAR (SBAS) Method using Sentinel-1A Data for land subsidence detection in Surabaya City. 2020. International Journal on Advanced Science Engineering Information Technology, 10(1), 191–197.
  • 4. Das B.M. 2002. Soil Mechanics Laboratory Manual, 6th Edition, Oxford University Press, pp. 117–128.
  • 5. Fyksten J. and Nilfouroushan F. 2019. Analysys of Caly[Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling, Remote Sensing, 11(23), 1–17.
  • 6. Galloway D.L. and Burbey T.J. 2011. Review: Regional land subsidence accompanying groundwater extraction. Hydrogeol J, 19, 1459–1486.
  • 7. Gumilar I., Abidin H.Z., Sidiq T.P., Andreas H.,. Maiyudi R, Gamal M., and Fukuda Y. 2013. Mapping and Evaluating the impact of land subsidence in Semarang (Indonesia). Indonesian Journal of Geospatial, 2(2), 26–41.
  • 8. Gumilar I., Abidin H.Z., Hutasoit L.M., Halim D.M., Sidiq T.P., and Andreas H., 2015. Land Subsidence in Bandung Basin and its Possible Caused Factors. Procedia Earth and Planetary Science, 12, 47–62.
  • 9. Huang B., Shu L., and Yang Y.S. 2012. Groundwater overexploitation causing land subsidence: Hazard Risk Assessment Using Field Observation and spatial Modelling. Water Resour Manage, 26, 4225–4239.
  • 10. Hendarto H. and Standing J.R. 2019. Influence of groundwater extraction on land subsidence in Jakarta. Proceeding of the XVII ECSMGE, pp. 1–8, doi: 10.32075/17ECSMGE-2019–0511.
  • 11. Phi H.T. and Strokova L.A. 2015. Prediction maps of land subsidence caused by groundwater exploitation in Hanoi, Vietnam. Resource-Efficient Technologies, 1(1), 80–89.
  • 12. Kuehn F., Albiol D., Cooksley G., Durjo J., Granda J., Haas S., Hoffmann R.A., and Murdohardono D. 2009. Detection of Land Subsidence in Semarang, Indonesia, Using Stable Points Network (SPN) Technique, Environmental Earth Sciences, 60, . 909–921.
  • 13. Kurniawan R and Anjasmara I.M. 2016. Pemanfaatan Metode Differential Intermerometry Synthetic Aperture Radar (DInSAR) untuk Pemantauan Deformasi Akibat Aktifitas Eksploitasi Panas Bumi (in Indpnesian). Jurnal Teknik ITS, 5(2), B331–B336.
  • 14. Lubis A.M., Sato T., Tomiyama N., Isezaki N., and Yamonokuchi T. 2011. Ground Subsidence in Semarang – Indonesia Investigated by ALOS – PALSAR Satellite SAR Interferometry. Journal of Asian Earth Sciences, 40(5), 1079–1088.
  • 15. Marfai M.A. and King L. 2008. Tidal Inundation Mapping Under Enhanced Land Subsidence in Semarang, Central Java Indonesia. Natural Hazards, 44(1), 93–109.
  • 16. Ng A.H.M., Ge H., Li X., Abidin H.Z., Andreas H., and Zhang K. 2012. Mapping mand subsidence in Jakarta, Indonesia using persistent scatterer interferometry (PSI) technique with ALOS PALSAR. International Journal of Applied Earth Observation and Geoinformation, 18, 232–242.
  • 17. Nguyen Q.T. 2016. The Main Causes of Land Subsidence in Ho Chi Minh City. Procedia Engineering, 142, 333–340.
  • 18. Onojasun O.E., and Juliet E. 2015. Delineating the Subsurface Structure Using Electrical Resistivity Sounding in Some Part of Willeton, Perth, Wetern Australia. International Journal of Scientific & Technology Research, 4(11), 66–71.
  • 19. Putranto T.T., Hidayat W.K., and Susanto N. 2017. Developing Groundwater Conservaton Zone of Unconfoned Aquifer in Semarang, Indonesia. IOP Conf. Series: Earth and Environmental Science, 55. doi: 10.1088/1755–1315/55/1/01201
  • 20. Reddish D.J. and Whittaker B.N. 1989. Subsidence: Occurrence, Prediction and Control. First Edition. Elsevier Science.
  • 21. Reena G. and Murugan M. 2017. Geophysical Investigation from Thiruporur to Mahaballipuram Using Resistivity Method. International Journal of Engineering and Techniques, 3(5), 36–54.
  • 22. Sarah D., Hutasoit L.M., Delinom R.M., Sadisun I.A., and Wirabuana T. 2018. A Physical Study of the Effect of Groundwater Salinity on the Compressibility of the Semarang-Demak Aquitad, Java Island. Geosciences, 8, 1–20.
  • 23. Sikandar P., Bakhsh A., Arshad M., and Rana T. 2009. The use of vertical electrical sounding resistivity method for the location of low salinity groundwater for irrigation in Chaj and Rachna Doabs. Environmental Earth Sciences, 60, 1113–1129.
  • 24. Sridharan A., and Nagaraj H. 2004. Coefficient of Consolidation and its Correlation with Index Properties of Remolded Soils. Geotechnical Testing Journal, 27, (5), 1–6.
  • 25. Thanden R.E., Sumadirdja, Richards P.W., Utisna K.S., and Amin T.C. 1996. Geological Map of The Magelang and Semarang Sheets Jawa Second Edition, Geological Research and Development Centre, Bandung.
  • 26. The Ad Hoc Salt Water Intrusion Committee in Jakarta, Classification of Water Salinity, Jakarta, 1986.
  • 27. The Geological Agency, Ministry of Energy and Mineral Resources of the Republic of Indonesia. 2018. Engineering Geological monitoring of land subsidence in Semarang, Central Java Province. 2018 Annual Performance Report. Jakarta.
  • 28. Zaki R. 2017. Validation of Intrument Measuring Continuous Variable in Medecine, Advances in Statistical Methodologies and Their Application to Real Problems. Intech Open Science. pp: 217–237.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b7905ef3-304d-42f9-89eb-1914fa6f682b
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