Sea Level Rise on Tuban Coast in East Java and its Consistenty with MAGICC/SCENGEN Prediction

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Sea level rise is one of the impacts of climate change and global warming caused by the increase of human activities leading to the increase of concentration of greenhouse gases in the atmosphere. The impacts of sea level rise itself will be greatly felt by coastal areas in island countries, one of them is Indonesia (specifically the district of Tuban). The purposes of this paper are (1) to indicate that tidal data in Semarang and Tuban (both of them are cities in the northern coast of Java) can be used to estimate the sea level rise in the region through the means of comparison, and (2) to compare sea level rise in MAGICC model and show that sea level trends for Tuban district are consistent with global values. The results shows that the tidal data in Tuban has a higher value than the tidal data in Semarang by a margin of 0.03 m, so the trend of sea level rise in Tuban is y = 0.002x + 0.751, consequently the sea level rise per year is 0.024 m. Comparison of sea level rises between the MSL data of Tuban district with MAGICC model indicates that the sea level trends for Tuban district (local) are consistent with global values, that is, in the year of 2100, the sea level rise will reach 2.64 m while emissions scenario that comes close is the WRE 550 scenario, that is, in the year of 2100, it will reach 2.9 m.

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[1] C. P. Morice, J. J. Kennedy, N. A. Rayner, and P. D. Jones, Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set, J. Geophys. Res., 117 (2012).

DOI: 10.1029/2011jd017187

Google Scholar

[2] S. Levitus. et al. World ocean heat content and thermosteric sea level change (0-2000 m), 1955-2010, Geophys. Res. Lett., 39 (2012)L10603.

DOI: 10.1029/2012gl051106

Google Scholar

[3] W. R. Hobbs, and J. K. Willis Detection of an observed 135 year ocean temperature change from limited data, Geophys. Res. Lett., 40 (2013) 2252–2258.

DOI: 10.1002/grl.50370

Google Scholar

[4] A. S. Gardner, G. Moholdt, J. G. Cogley, B. Wouters, A. A. Arendt, et al. A reconciled estimate of glacier contributions to sea level rise, 2003-2009, Science, 340, (2013) 852–857.

DOI: 10.1126/science.1234532

Google Scholar

[5] P. Wadhams, N. Hughes, and J. Rodrigues, Arctic sea ice thickness characteristics in winter 2004 and 2007 from submarine sonar transects, J. Geophys. Res., 116 (2011).

DOI: 10.1029/2011jc006982

Google Scholar

[6] Esteves LS, William JJ, Brown JM. Looking for evidence of climate change impacts in the eastern Irish Sea. Natural Hazards and Earth System Sciences, 11 (2011) 1641-1656.

DOI: 10.5194/nhess-11-1641-2011

Google Scholar

[7] S.J. Williams,. Sea-level rise implications for coastal regions. In: Brock, J.C.; Barras, J.A., and Williams, S.J. (eds. ), Understanding and Predicting Change in the Coastal Ecosystems of the Northern Gulf of Mexico, Journal of Coastal Research, Special Issue 63 (2013).

DOI: 10.2112/si63-001.1

Google Scholar

[8] Boon, J.D., Brubaker, J.M., and Forrest, D.M., 2010, Chesapeake Bay land subsidence and sea level change-An evaluation of past and present trends and future outlook: Virginia Institute of Marine Science Special Report 425 in Applied Marine Science and Ocean Engineering, (2010).

Google Scholar

[9] W. SHolbrook, Marine seismic imaging: Illuminating Earth's structure, climate, oceans and hazards. Report to the National Science Foundation (2010): 1-9.

Google Scholar

[10] T. Lay. Seismological grand challenges in understanding Earth's dynamic systems. Report to the National Science Foundation, IRIS. Consortium. (2009). 76 pp.

Google Scholar

[11] N. Mimura. Sea-level rise caused by climate change and its implications for society. Proceeding of the Japan Academy Series B, Physical and Biological Sciences. 89 (7), (2013): 281–301.

DOI: 10.2183/pjab.89.281

Google Scholar

[12] Roy K Dokka. The role of deep processes in late 20th century subsidence of New Orleans and coastal areas of southern Louisiana and Mississippi. Journal of Geophysical Research116 (B06403), (2011) 1-25.

DOI: 10.1029/2010jb008008

Google Scholar

[13] M. Sneed, J. Brandt, and M. Solt. Land Subsidence alang the Delta-Mendoltakanal in the Northem Part of the San Joaquin Valley, California. USGS Scientific Investigations Report (2013) 5142.

DOI: 10.3133/sir20135142

Google Scholar

[14] R.A. Morton, and J. C Bernier. Recent subsidence-rate reductions in the mississippi delta and their geological implications. Journal of Coastal Research, 26(3), (2010)555–561.

DOI: 10.2112/jcoastres-d-09-00014r1.1

Google Scholar

[15] A.H. Sallenger Jr., K.S. Doran, and P.A. Howd. Hotspot of accelerated sea-level rise on the Atlantic coast of North America. Nature Climate Change 2 (2012) 884-888.

DOI: 10.1038/nclimate1597

Google Scholar

[16] Y. Wada, L.P.H. van Beek, C.M. van Kempen, J.W.T.M. Reckman, S. Vasak, and M.F.P. Bierkens. Global depletion of groundwater resources, Geophysical Research Letters, (2010).

DOI: 10.1029/2010gl044571

Google Scholar

[17] Kolker, A.S., Allison, M.A., Hameed, S., 2011. An evaluation of subsidence rates and sea-level variability in the Northern Gulf of Mexico. Geophysical Research Letters 38 (2011) L21404.

DOI: 10.1029/2011gl049458

Google Scholar

[18] S. Rahmstorf, M. Perrette, and M. Vermeer, Testing the robustness of semiempirical sea level projections. Clim. Dyn., 39 (2012) 861–875.

DOI: 10.1007/s00382-011-1226-7

Google Scholar

[19] IPCC, Climate Change 2014: Synthesis Report. Contribution of working Group I, II, II to the Fifth Assesment Report of the Intergovermental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L. A Meyer (eds)]. IPCC, Geneva, Switzerland, (2014).

DOI: 10.1017/cbo9781107415416

Google Scholar

[20] M. Hulme, Wigley, T., Barrow, E., Raper, S., Centella, A., Smith, S. and A.C. Chipanshi. Using a climatic Scenario Generator for Vulnerability and Adaptation Assessments: MAGICC and SCENGEN Version 2. 4 Workbook. Climatic Research Unit, Norwich UK, (2000).

Google Scholar

[21] Pariwono, . Gaya Penggerak PasangSurut, PasangSurut, Ed. Ongkosongo O.S.R., andSuyarso, P3O-LIPI, Jakarta (1989) 13-23.

Google Scholar

[22] A Susandi, Projection Of Climate Change Over Indonesia Using MAGICC/SCENGEN, poster section in of the International Conference on Mathematics and Natural Sciences (ICMNS), Bandung, Indonesia, November (2006) 29-30.

Google Scholar

[23] B Tiwari, S. Fanaiyan, R. Hastings, and C. Olgun. 2014. Reduction In Seismic Ground Shaking With The Use Of Soil-Cement Panels. Geo-Congress Technical Papers (2014) 1186-1195.

DOI: 10.1061/9780784413272.115

Google Scholar

[24] Morita, T., Y. Matsuoka, I. Penna, and M. Kainuma. Global Carbon Dioxide Emission Scenarios and Their Basic Assumptions: Survey, CGER-1011 -94. Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan (1994).

Google Scholar