scholarly journals Kajian Perubahan Garis Pantai Muara Gembong, Bekasi

2020 ◽  
Vol 13 (2) ◽  
pp. 71-83
Author(s):  
Alimuddin Alimuddin ◽  
Dini Aryanti

Abstrak. Secara geografis, wilayah Pesisir Muara Gembong berbatasan secara langsung dengan Laut Jawa sehingga sangat rentan tehadap bencana abrasi yang serius dan perlu untuk dilakukan pemantauan secara kontinu. Tujuan dari penelitian ini adalah untuk mengetahui luasan abrasi yang terjadi dan mendapatkan alternatif penanggulangan abrasi di lokasi penelitian. Penelitian ini menggunakan metode tumpang tindih (overlay) citra satelit Landsat tahun 2012 dan tahun 2020 dengan menggunakan program ER Mapper untuk memperbaiki kualitas citra sebelum diolah selanjutnya dan program ArcGIS untuk tumpang tindih (overlay) citra serta prediksi perubahan garis pantai untuk tahun 2030 menggunakan program GENESIS. Penelitian dilakukan pada bulan Februari – Juli tahun 2020 di Pantai Muara Gembong, Bekasi. Hasil tumpang tindih Citra Landsat tahun 2012 dan tahun 2020 menunjukkan bahwa luasan abrasi di Muara Gembong adalah 252.071,71 m2. Tinggi muka air laut rata-rata adalah 0,60 m dengan surut terendah 0,49 m dan pasang tertinggi 0,62 m. Berdasarkan hasil analisis pasang surut maka dapat diketahui tinggi rencana bangunan pantai yang akan dibangun yaitu 2,87 m. Berdasarkan hasil simulasi yang dilakukan maka bangunan pantai yang tepat untuk mengatasi persoalan abrasi yang terjadi di lokasi penelitian adalah breakwater.Coastline Change Study in Muara Gembong, BekasiAbstract. Geographically, the Muara Gembong Coastal area is directly bordering to the Java Sea, so it is very vulnerable to serious abrasion disasters and it is necessary to carry out monitoring continuously. The aim of this research is to determine the extent of abrasion that occurs and to find alternatives to abrasion control at the research location. This research using the overlay method of Landsat imagery in 2012 and 2020 using the ER Mapper program to improve image quality before further processing and the ArcGIS program to overlay images and predict changes in coastlines for 2030 using the GENESIS program. The research was conducted in February - July 2020 at Muara Gembong Beach, Bekasi. The overlay results of Landsat imagery in 2012 and 2020 show that the area of abrasion in Muara Gembong is 252,071.71 m2. The mean sea level is 0.60 m with the lowest tide is 0.49 m and the highest tide is 0.62 m. Based on the results of the tidal analysis, it can be seen that the planned height of the coastal buildings to be built is 2.87 m. Based on the results of the simulations carried out, the beach protection building suitable for abrasion problems at the study location is the breakwater.

1993 ◽  
Vol 2 (6) ◽  
pp. 423-430
Author(s):  
Tetsuo Yanagi ◽  
Tatsuya Akaki
Keyword(s):  

2020 ◽  
Vol 9 (3) ◽  
pp. 185 ◽  
Author(s):  
Nevin Avşar ◽  
Şenol Kutoğlu

Global mean sea level has been rising at an increasing rate, especially since the early 19th century in response to ocean thermal expansion and ice sheet melting. The possible consequences of sea level rise pose a significant threat to coastal cities, inhabitants, infrastructure, wetlands, ecosystems, and beaches. Sea level changes are not geographically uniform. This study focuses on present-day sea level changes in the Black Sea using satellite altimetry and tide gauge data. The multi-mission gridded satellite altimetry data from January 1993 to May 2017 indicated a mean rate of sea level rise of 2.5 ± 0.5 mm/year over the entire Black Sea. However, when considering the dominant cycles of the Black Sea level time series, an apparent (significant) variation was seen until 2014, and the rise in the mean sea level has been estimated at about 3.2 ± 0.6 mm/year. Coastal sea level, which was assessed using the available data from 12 tide gauge stations, has generally risen (except for the Bourgas Station). For instance, from the western coast to the southern coast of the Black Sea, in Constantza, Sevastopol, Tuapse, Batumi, Trabzon, Amasra, Sile, and Igneada, the relative rise was 3.02, 1.56, 2.92, 3.52, 2.33, 3.43, 5.03, and 6.94 mm/year, respectively, for varying periods over 1922–2014. The highest and lowest rises in the mean level of the Black Sea were in Poti (7.01 mm/year) and in Varna (1.53 mm/year), respectively. Measurements from six Global Navigation Satellite System (GNSS) stations, which are very close to the tide gauges, also suggest that there were significant vertical land movements at some tide gauge locations. This study confirmed that according to the obtained average annual phase value of sea level observations, seasonal sea level variations in the Black Sea reach their maximum annual amplitude in May–June.


2013 ◽  
Vol 51 (8) ◽  
pp. 1323-1334 ◽  
Author(s):  
S.A. Melachroinos ◽  
F.G. Lemoine ◽  
N.P. Zelensky ◽  
D.D. Rowlands ◽  
S.B. Luthcke ◽  
...  

2013 ◽  
Vol 165 ◽  
pp. 1951-1956 ◽  
Author(s):  
Renato Mendes ◽  
Nuno Vaz ◽  
João M. Dias

2014 ◽  
Vol 27 (1) ◽  
pp. 101-102 ◽  
Author(s):  
Bismarck Jigena ◽  
Juan Vidal ◽  
Manuel Berrocoso
Keyword(s):  

Author(s):  
L. Rickards ◽  
A. Matthwes ◽  
K. Gordon ◽  
M. Tamisea ◽  
S. Jevrejeva ◽  
...  

Abstract. The PSMSL was established as a “Permanent Service” of the International Council for Science in 1958, but in practice was a continuation of the Mean Sea Level Committee which had been set up at the Lisbon International Union of Geodesy and Geophysics (IUGG) conference in 1933. Now in its 80th year, the PSMSL continues to be the internationally recognised databank for long-term sea level change information from tide gauge records. The PSMSL dataset consists of over 2100 mean sea level records from across the globe, the longest of which date back to the start of the 19th century. Where possible, all data in a series are provided to a common benchmark-controlled datum, thus providing a record suitable for use in time series analysis. The PSMSL dataset is freely available for all to use, and is accessible through the PSMSL website (www.psmsl.org).


2021 ◽  
Vol 33 (6) ◽  
pp. 298-307
Author(s):  
A Jeong Kim ◽  
Myeong Hee Lee ◽  
Seung Won Suh

Typhoons occur intensively between July and October, and the sea level is the highest during this time. In particular, the mean sea level in summer in Korea is higher than the annual mean sea level about 14.5cm in the west coast, 9.0 to 14.5cm in the south coast, and about 9.0 cm in the east coast. When the rising the sea level and a large typhoon overlap in summer, it can cause surges and flooding in low-lying coastal areas. Therefore, accurate calculation of the surge height is essential when designing coastal structures and assessing stability in order to reduce coastal hazards on the lowlands. In this study, the typhoon surge heights considering the summer mean sea level rise (SH_m) was calculated, and the validity of the analysis of abnormal phenomena was reviewed by comparing it with the existing surge height considering the annual mean sea level (SH_a). As a result of the re-analyzed study of typhoon surge heights for BOLAVEN (SANBA), which influenced in August and September during the summer sea level rise periods, yielded the differences of surge heights (cm) between SH_a and SH_m 7.8~24.5 (23.6~34.5) for the directly affected zone of south-west (south-east) coasts, while for the indirect south-east (south-west) coasts showed -1.0~0.0 (8.3~12.2), respectively. Whilst the differences between SH_a and SH_m of typhoons CHABA (KONG-REY) occurred in October showed remarkably lessened values as 5.2~ 14.2 (19.8~21.6) for the directly affected south-east coasts and 3.2~6.3 (-3.2~3.7) for the indirectly influenced west coast, respectively. The results show the SH_a does not take into account the increased summer mean sea level, so it is evaluated that it is overestimated compared to the surge height that occurs during an actual typhoon. Therefore, it is judged that it is necessary to re-discuss the feasibility of the surge height standard design based on the existing annual mean sea level, along with the accurate establishment of the concept of surge height.


2021 ◽  
Vol 5 (2) ◽  
pp. 494-501
Author(s):  
Hollanda Arief Kusuma ◽  
Muhammad Zainuddin Lubis ◽  
Nadya Oktaviani ◽  
Dwi Eny Djoko Setyono

Tides observation conducted for these purposes such as real-time depth of water, determination mean sea level and other tidal datums to establish a system of tidal benchmarks and data for production of tide and tidal current predictions. Center for Marine and Coastal Mapping – Geospatial Information System used water level and tides data mainly to correct the water depth measurement to chart datum. This study uses sea level observation data conducted from 20th February 2018 until 4th April 2018 at Marina Batavia, Jakarta. This study found that tidal types at this location is mixed diurnal using formzahl number. Astronomical and shallow water possible constituent were derived from the harmonic analysis. Fourier analysis gives clearly visual interpretation in frequency perspective. Several constituents inseparable because of short duration records.


2018 ◽  
Vol 50 (2) ◽  
pp. 162
Author(s):  
Isna Uswatun Khasanah

The information of sea level rise was needed in the Indonesia as archipelago country to management risk and development coastal area. This research study took in West Sumatra waters, because the majority people have lived in coastal area and some areas is located below 100 m above Mean Sea Level (MSL). The sea level data was taken from multi-satellite altimetry, they are Topex/Poseidon, Jason-1, and Jason-2. The period of data started from 1993 until 2015.Preliminary data processing of satellite altimetry was done by global test and post-processing of satellite altimetry data. The sea level rise analysis done by linear regression methods. Linear regression formula of sea level rise in West Sumatra Waters during the period was  y = 1.586 + 0.0000113x. The change of sea level during period 1993 until 2015 was 3.394 cm with mean sea level rise value was 1.35 mm/year


Tellus ◽  
1964 ◽  
Vol 16 (4) ◽  
pp. 513-516
Author(s):  
Axel Jessen
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document