Improved Performance of Geospatial Model to Access the Tidal Flood Impact on Land Use by Evaluating Sea Level Rise and Land Subsidence Parameters

• Autorzy: Zainuri Muhammad , Helmi Muhammad , Novita Maria Griselda Anindyan , Kusumaningrum Hermin Pancasakti , Koch Magaly

Identyfikatory

DOI

10.12911/22998993/144785

• Języki publikacji: EN

Abstrakty

EN

In the 20^th century, climate change caused an increase in temperature that accelerated the rate of sea level. Sea level rise and land subsidence threaten densely populated coastal areas as well as lowlands because they cause tidal flooding. Tidal floods occur every year due to an increase in sea level rise and land subsidence. The lack of information on this phenomenon causes delays in disaster mitigation, leading to serious problems. This study was conducted to predict the area of tidal flood inundation on land use in 2020 to 2035. This research was performed in Pekalongan Regency, as one of the areas experiencing large land subsidence and sea level rise. The research data to be used were tides and the value of soil subsidence, as well as sea level rise. Digital Terrain Model (DTM) was obtained through a topographic survey. Modeling was used for DTM reconstruction based on land subsidence and sea level rise every year. The sea level rise value uses the satellite altimetry data from 1993–2018. A field survey was conducted to validate the inundation model that has been created. Land subsidence was processed using Sentinel-1 Synthetic Aperture Radar (SAR) image data with Single Band Algorithm (SBA) differential interferometry. This study proved that tidal flooding has increased every year where in 2020 it was 783.99 hectares, but with the embankment there was a reduction in inundation area of 1.68 hectares. The predicted area of tidal flood inundation in 2025, 2030 and 2035 without the embankment is 3388.98 hectares, 6523.19 hectares, 7578.94 hectares, while with the embankment in 2035 is 1686.62 hectares. The research results showed that the use of embankments is a solution for coastal mitigation as well as regional planning.

Słowa kluczowe

EN

geospatial model; tidal flood; land use; sea level rise; land subsidence

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2022
• Tom: Vol. 23, nr 2
• Strony: 1--11
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Zainuri Muhammad

• Oceanography Department, Faculty of Fisheries and Marine Science, Universitas Diponegoro, Jl Prof Soedarto SH., Tembalang, Semarang, Central Java, 50275, Indonesia
• Center for Coastal Rehabilittation and Disaster Mitigation Studies, Universitas Diponegoro, Jl Prof Soedarto SH., Tembalang, Semarang, Central Java, 50275, Indonesia

• https://orcid.org/0000-0001-8131-8448

autor

Helmi Muhammad

• Oceanography Department, Faculty of Fisheries and Marine Science, Universitas Diponegoro, Jl Prof Soedarto SH., Tembalang, Semarang, Central Java, 50275, Indonesia
• Center for Coastal Rehabilittation and Disaster Mitigation Studies, Universitas Diponegoro, Jl Prof Soedarto SH., Tembalang, Semarang, Central Java, 50275, Indonesia

autor

Novita Maria Griselda Anindyan

• Center for Coastal Rehabilittation and Disaster Mitigation Studies, Universitas Diponegoro, Jl Prof Soedarto SH., Tembalang, Semarang, Central Java, 50275, Indonesia

autor

Kusumaningrum Hermin Pancasakti

• Biotechnology Study Program, Biology Department, Faculty of Science and Mathematics, Universitas Diponegoro, Jl Prof Soedarto SH., Tembalang, Semarang, Central Java, 50275, Indonesia

autor

Koch Magaly

• Department of Earth and Environment, Center for Remote Sensing, Boston University, MA 02215-1401, United States

Bibliografia

• 1. Bappenas, 2019. Rencana Pembangunan Jangka Menengah Nasional (RPJMN) 2020–2024. Kementrian Perencanaan Pembangunan Nasional.
• 2. Bott L.M., Schöne T., Illigner J., Haghighi M.H., Gisevius K., Braun B. 2021. Land subsidence in Jakarta and Semarang Bay–The relationship between physical processes, risk perception, and household adaptation. Ocean & Coastal Management, 211, 105775.
• 3. Desalegn H., Mulu A. 2021. Mapping Flood Inundation Areas Using Gis And Hec-Ras Model At Fetam River, Upper Abbay Basin, Ethiopia. Scientific African, P.E00834.
• 4. Hinderer J., Saadat A., Cheraghi H., Bernard J.D., Djamour Y., Amighpey M., Arabi S., Nankali H., Tavakoli F. 2020. Water Depletion and Land Subsidence in Iran Using Gravity, GNSS, InSAR and Precise Levelling Data. International Association of Geodesy Symposia.
• 5. Husnayaen., Rimba A.B., Osawa T., Parwata I.N.S., As-syakur A.R., Kasim F., Astarini I.A. 2018. Physical assessment of coastal vulnerability under enhanced land subsidence in Semarang, Indonesia, using multi-sensor satellite data. Advances in Space Research, 61(8), 2159–2179.
• 6. Irawan A.M., Marfai M.A., Nugraheni I.R., Gustono S.T., Rejeki H.A., Widodo A., Mahmudiah R.R., Faridatunnisa M. 2021. Comparison between averaged and localised subsidence measurements for coastal floods projection in 2050 Semarang, Indonesia. Urban Climate. 35, 100760.
• 7. Jia C., Di S., Sun X., Zhang S., Ding P., Liu Z. 2021. Spatiotemporal Evolution Characteristics and Transfer Law of Land Subsidence in Sand – Clay Interbed Caused by Exploiting The Groundwater. Arabian Journal for Science and Engineering, 46, 5733–5753.
• 8. Maharlika A.R., Hadi S.P., Kismartini, Hoya A.L. 2020. Tidal flooding and coastal adaptation responses in Pekalongan City. In E3S Web of Conferences. 202, 06027.
• 9. Malik A., Abdalla R. 2016. Geospatial Modeling of The Impact of Sea Level Rise on Coastal Communities: Application of Richmond, British Columbia, Canada. Modeling Earth Systems and Environment, 2, 146.
• 10. Marfai M.A., Cahyadi A., Kasbullah A.A., Hudaya L.A., DTarigan R. 2015. Pemetaan Partisipatif untuk Estimasi Kerugian Akibat Banjir Rob di Kabupaten Pekalongan. Seminar Nasional Geografi UMS, 2015.
• 11. Mokarram M., Negahban S., Abdolali A., Ghasemi M.M. 2021. Using GIS – Based Order Weight Average (OWA) Methods to Predict Suitable Locations for The Artificial Recharge of Groundwater. Environmental Earth Science, 80, 428.
• 12. Nirwansyah A.W., Braun B. 2021. Assessing The Degrre of Tidal Flood Damage to Salt Harvesting Landscape Using Synthetic Approach and GIS – Case Study: Cirebon, West Java. International Journal of Disaster Risk Reduction, 55.
• 13. Ramadhan F., Banowati E., Hariyanto. 2019. Pengaruh Rob Terhadap Perubahan Pendapatan Petani Tambak di Kecamatan Tirto Kabupaten Pekalongan. Geo-Image, 8(1).
• 14. Sauda, Hilyati R., Nugraha A.L., Hania’ah. 2019. Kajian Pemetaan Kerentanan Banjir Rob di Kabupaten Pekalongan. Jurnal Geodesi Undip, 8(1).
• 15. Suo A., Lin Y., Zhang M. 2016. Regional Difference of Coastal Land Use Around The Bohai Sea Based on Remote Sensing Images. Multimed Tools Application, 75, 12061–12075.
• 16. Suroso D.S.A., Firman T. 2018. The role of spatial planning in reducing exposure towards impacts of global sea level rise case study: Northern coast of Java, Indonesia. Ocean & Coastal Management, 153, 84–97.
• 17. Yastika P.E., Shimizu N., Abidin H.Z. 2019. Monitoring of long-term land subsidence from 2003 to 2017 in coastal area of Semarang, Indonesia by SBAS DInSAR analyses using Envisat-ASAR, ALOS-PALSAR, and Sentinel-1A SAR data. Advances in Space Research, 63(5), 1719–1736.