scholarly journals INSIGHT ANALYSIS ON DYKE PROTECTION AGAINST LAND SUBSIDENCE AND THE SEA LEVEL RISE AROUND NORTHERN COAST OF JAVA (PANTURA) INDONESIA

2018 ◽  
Vol 5 (1) ◽  
pp. 101
Author(s):  
Heri Andreas ◽  
Hasanuddin Zainal Abidin ◽  
Dina Anggreni Sarsito ◽  
Dhota Pradipta
Keyword(s):  
Global Warming ◽  
Sea Level Rise ◽  
Sea Level ◽  
Land Subsidence ◽  
High Tide ◽  
Northern Coast ◽  
Tidal Inundation ◽  
Land Area ◽  
The City ◽  
Area Development

Land subsidence and the sea level rise is newly well known phenomenon around northern coast of Java Indonesia (PANTURA). The occurrence of land subsidence at least recognize at the first of the city or urban area development, while the sea level rise was recognize from several last decades corresponds to the global warming. Following the both phenomena, tidal inundation (in Javanese they call it “Rob”) is now becoming another newly well known phenomenon along PANTURA. In the recent years the tidal inundation comes not only at a high tide but even at the regular tide in some area. Sea level rise and the land subsidence are considered as the causes deriving the occurrence of tidal inundation. Dykes have been built against tidal inundation around PANTURA (e.g. in Jakarta, Blanakan, Pekalongan, Semarang, and Demak). Nevertheless, since the land subsidence and the sea level rise are believed to be continuing through times, insight analysis on these dykes “protector” is necessary. How long the dyke would effectively protect the land area would be highlight in this paper.

scholarly journals Potential Economic Losses Due to Tidal Inundation and Flood at Semarang City

2014 ◽  
Vol 28 (2) ◽  
Author(s):  
Ifan R Suhelmi ◽  
Achmad Fahrudin ◽  
Ferdinand Hariyanto Triwibowo
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Land Subsidence ◽  
Economic Losses ◽  
Tidal Inundation ◽  
International Panel ◽  
Digital Elevation ◽  
Elevation Model ◽  
Topographic Condition ◽  
The Impact

Coastal city of Semarang is susceptible to the impact of coastal hazard due to its flat topographic condition. Various environmental problems are faced by Semarang involve tidal inundation, land subsidence, and floods during rainy season. This study was conducted to examine the potential economic losses caused by the sea level rise phenomenon. Distribution of inundated area mapped using Digital Elevation Model and Land Subsidence data. The Scenarios of International Panel on Climate Change (2007) sea level rises used to build a model of inundated area that notes by 2030 the rise of sea level rise at 13.4 cm. The inundated map was overlayed with landuse map to calculate the potential economic losses. The results show that the inundated area that occurred in 2030 was 1,718.2 ha with the potential economic losses Rp. 6,130 trillion. With the land subsidence scenario that happen at the area, inundated area increased to 5,171.3 ha with the eonomic potential loss about Rp. 28,724 trillion.

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

2017 ◽  
Vol 862 ◽  
pp. 83-89
Author(s):  
Marita Ika Joesidawati ◽  
Suntoyo ◽  
Wahyudi ◽  
Kriyo Sambodho
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Sea Level Rise ◽  
Sea Level ◽  
Human Activities ◽  
Northern Coast ◽  
Tidal Data ◽  
Global Values ◽  
Emissions Scenario ◽  
Impacts Of Climate Change

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.

scholarly journals STUDY ON FLOOD INUNDATION IN PEKALONGAN, CENTRAL JAVA

2014 ◽  
Vol 10 (2) ◽  
Author(s):  
Syam Nashrrullah ◽  
Aprijanto ◽  
Junita Monika Pasaribu ◽  
Manzul K Hazarika ◽  
Lal Samarakoon
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Land Subsidence ◽  
Northern Coast ◽  
Flood Inundation ◽  
Alos Palsar ◽  
Water Level Rise ◽  
Central Java ◽  
Inundation Area ◽  
Tidal Data

Tidal flood or ‘rob’ is a serious problem in many coastal areas in Indonesia, including Pekalongan in the northern coast of Java island. This study aimed to simulate the flood inundation area for different scenarios of sea level rise, also to investigate the possibility of land subsidence that may further aggravate the problem of flooding in Pekalongan. In this study, the MIKE-21 model was used to simulate and predict the flood inundation area. Tidal data were generated from the Tide Model Drive (TMD). The tidal flood simulations were carried out for three different scenarios of sea level rise: 1) current situation, 2) next 50 years, assuming no sea level rise, and 3) next 50 years, assuming 50 cm of sea level rise. Based on the results, the ranges of water level rise in Pekalongan for each scenario were 0.23-1.27 m, 0.36-1.38 m, and 0.65-1.53 m, respectively. Meanwhile, ground displacement maps were derived from the ALOS/PALSAR data using Differential Interferometric Synthetic Aperture Radar (D-InSAR) technique. Twelve level 1.0 images of ALOS/PALSAR data acquired in ascending mode during 2008 to 2009 were collected and processed in time-series analyses. In total, 11 pairs of interferogram were produced by taking the first image in 2008 as the master image. The results showed that the average of land subsidence rate in Pekalongan city was 3 cm/year, and the subsidence mainly occurred in the western part of the city.

scholarly journals SIMULASI NUMERIK GELOMBANG (SPECTRAL WAVES) DAN BENCANA ROB MENGGUNAKAN FLEXIBLE MESH DAN DATA ELEVATION MODEL DI PERAIRAN KECAMATAN SAYUNG, DEMAK

2016 ◽  
Vol 9 (2) ◽  
pp. 164
Author(s):  
Koko Ondara ◽  
Ulung Jantama Wisha
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Numerical Models ◽  
High Tide ◽  
Preventive Action ◽  
Tidal Inundation ◽  
Inundation Area ◽  
Quantitative Descriptive ◽  
Elevation Model ◽  
Mike 21

<p>Pesisir Kecamatan Sayung merupakan wilayah abrasi di Kabupaten Demak yang terkena dampak paling parah dari kenaikan muka air laut. Tujuan penelitian ini untuk mengetahui dinamika gelombang yang terjadi pada setiap kondisi pasang surut dan pengaruhnya terhadap rob serta <em>overtopping</em> yang terjadi. Metode penelitian adalah deskriptif kuantitatif menggunakan persamaan numerik, simulasi MIKE 21 dan model elevasi ArcGis. Hs tahun 2016 pada pasang purnama 0,015 – 0,359 m dan pada surut purnama 0,009 – 0,358 m. Hasil pengolahan data menunjukkan ada perbedaan yang drastis genangan yang terjadi pada saat pasang dan surut. Luas area model genangan rob pada tahun 2016 sebesar 7200,36 Ha. Untuk jarak terjauh genangan rob dari garis pantai pada tahun 2016 sejauh 10826,7 m. Terdapat peningkatan tinggi gelombang termasuk kondisi pasut purnama dan perbani tiap tahunnya. Hal ini menunjukkan abrasi terjadi di pengaruhi oleh kikisan gelombang yang terjadi secara terus-menerus. Kenaikan muka air laut yang terjadi setiap tahunnya berbanding terbalik dengan luas genangan yang dihasilkan, sehingga perlu dilakukan tindakan yang preventif pada proses tata kelola ruang pesisir. </p><p> </p><p><strong>Kata kunci</strong><em>:</em><em> </em><em>model elevasi, gelombang, model numerik, banjir rob, Sayung</em></p><p><em><br /></em></p><p class="ColorfulList-Accent11" align="center"><strong><em>NUMERICAL SIMULATION OF SPECTRAL WAVES AND ROB DISASTER USING FLEXIBLE MESH AND DATA ELEVATION MODEL IN WATERS OF SAYUNG DISTRICT, DEMAK</em></strong><strong><em></em></strong></p><pre><em>Coastline area in subdistrict Sayung is an abrasion area in Demak which has the worst affected of sea level rise. The purpose of this study to determine the wave dynamics that occur in any tidal conditions and their effects on tidal flood and overtopping happened. The research method is quantitative descriptive using numerical equations, MIKE 21 simulation and ArcGIS elevation models. Hs 2016 on a tide 0.015 to 0.359 m and in full retroactively from 0.009 to 0.358 m. The results of data processing showed no drastic difference puddle that occur at high tide and low tide. The area of tidal inundation model in 2016 amounted to 7200.36 Ha. To the farthest distance from the shoreline tidal inundation in 2016 with a distance of 10826.7 m. There are an increasing wave heights including a full moon and neap tide conditions each year. This shows abrasion occurs is influenced by the piling up of waves that occur continuously. Sea level rise that occurs annually is inversely proportional to the resulting inundation area, so we need a preventive action on the processes of governance of coastal areas.</em></pre><pre> </pre><pre><strong>Keywords</strong><em>: elevation models, waves, numerical models, tidal flood, Sayung</em></pre><p><em><br /></em></p>

Holocene Sea-Level Record on Funafuti and Potential Impact of Global Warming on Central Pacific Atolls

1999 ◽  
Vol 51 (2) ◽  
pp. 124-132 ◽  
Author(s):  
William R. Dickinson
Keyword(s):  
Global Warming ◽  
Sea Level Rise ◽  
Sea Level ◽  
High Tide ◽  
Central Pacific ◽  
Coral Rubble ◽  
Geomorphic Features ◽  
Wave Erosion ◽  
Holocene Reef ◽  
Holocene Sea Level

AbstractGeomorphic features inherited from the mid-Holocene glacio-hydro-isostatic sea-level highstand that affected the central Pacific region influence the susceptibility of atoll islets to potentially enhanced wave erosion associated with rise in sea level from global warming. Shoreline morphology on multiple islets of Funafuti atoll in central Tuvalu reflects a relative mid-Holocene sea-level highstand 2.2–2.4 m above modern sea level. Typical islets are composed of unconsolidated post-mid-Holocene sediment resting disconformably on cemented coral rubble formed beneath now-emergent mid-Holocene reef flats. Exposed remnants of the lithified islet foundations serve as resistant buttresses protecting the flanks of atoll islets from wave attack. Islets lacking cemented mid-Holocene deposits as part of their internal structure are migratory sand cays with unstable shorelines. Any future sea-level rise ≥0.75 m, bringing high tide above the elevation of mid-Holocene low tide, might trigger enhanced wave erosion of stable atoll islets by overtopping the indurated mid-Holocene reef platforms. As analogous threshold relations are inferred for other central Pacific atolls, the risk of future inundation of island nations cannot be evaluated solely in terms of expected sea-level rise with respect to gross islet elevations.

scholarly journals Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
A. Hooijer ◽  
R. Vernimmen
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Flood Risk ◽  
Land Area ◽  
Area At Risk ◽  
Population Number ◽  
Coastal Flood ◽  
Elevation Data ◽  
Coastal Flood Risk ◽  
The Tropics

AbstractCoastal flood risk assessments require accurate land elevation data. Those to date existed only for limited parts of the world, which has resulted in high uncertainty in projections of land area at risk of sea-level rise (SLR). Here we have applied the first global elevation model derived from satellite LiDAR data. We find that of the worldwide land area less than 2 m above mean sea level, that is most vulnerable to SLR, 649,000 km2 or 62% is in the tropics. Even assuming a low-end relative SLR of 1 m by 2100 and a stable lowland population number and distribution, the 2020 population of 267 million on such land would increase to at least 410 million of which 72% in the tropics and 59% in tropical Asia alone. We conclude that the burden of current coastal flood risk and future SLR falls disproportionally on tropical regions, especially in Asia.

scholarly journals Compounding effects of sea level rise and fluvial flooding

2017 ◽  
Vol 114 (37) ◽  
pp. 9785-9790 ◽  
Author(s):  
Hamed R. Moftakhari ◽  
Gianfausto Salvadori ◽  
Amir AghaKouchak ◽  
Brett F. Sanders ◽  
Richard A. Matthew
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Hazard Assessment ◽  
Failure Probability ◽  
River Flow ◽  
Flood Hazard ◽  
High Tide ◽  
Probability Method ◽  
Flood Hazards ◽  
Flood Hazard Assessment

Sea level rise (SLR), a well-documented and urgent aspect of anthropogenic global warming, threatens population and assets located in low-lying coastal regions all around the world. Common flood hazard assessment practices typically account for one driver at a time (e.g., either fluvial flooding only or ocean flooding only), whereas coastal cities vulnerable to SLR are at risk for flooding from multiple drivers (e.g., extreme coastal high tide, storm surge, and river flow). Here, we propose a bivariate flood hazard assessment approach that accounts for compound flooding from river flow and coastal water level, and we show that a univariate approach may not appropriately characterize the flood hazard if there are compounding effects. Using copulas and bivariate dependence analysis, we also quantify the increases in failure probabilities for 2030 and 2050 caused by SLR under representative concentration pathways 4.5 and 8.5. Additionally, the increase in failure probability is shown to be strongly affected by compounding effects. The proposed failure probability method offers an innovative tool for assessing compounding flood hazards in a warming climate.

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