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GNSS land subsidence observations along the northern coastline of Java, Indonesia
Land subsidence in cities along the northern coastline of Java has been at a worrying level. Monitoring efforts using geodetic data reveal that Jakarta, Pekalongan, Semarang, and Demak subside at least ~9x faster than the present-day rate of global sea level rise, which affects the cities’ future ur...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314896/ https://www.ncbi.nlm.nih.gov/pubmed/37393372 http://dx.doi.org/10.1038/s41597-023-02274-0 |
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author | Susilo, Susilo Salman, Rino Hermawan, Wawan Widyaningrum, Risna Wibowo, Sidik Tri Lumban-Gaol, Yustisi Ardhitasari Meilano, Irwan Yun, Sang-Ho |
author_facet | Susilo, Susilo Salman, Rino Hermawan, Wawan Widyaningrum, Risna Wibowo, Sidik Tri Lumban-Gaol, Yustisi Ardhitasari Meilano, Irwan Yun, Sang-Ho |
author_sort | Susilo, Susilo |
collection | PubMed |
description | Land subsidence in cities along the northern coastline of Java has been at a worrying level. Monitoring efforts using geodetic data reveal that Jakarta, Pekalongan, Semarang, and Demak subside at least ~9x faster than the present-day rate of global sea level rise, which affects the cities’ future urban viability. In this study, we publish a time series of the precise 3D displacements observed by twenty continuous Global Navigation Satellite System (GNSS) stations between 2010 and 2021. These are the first open-to-the-public and rigorously processed GNSS datasets that are useful for accurately quantifying land subsidence in the densely populated sinking cities in Java. The data also provides a way to tie other geodetic observations, such as Interferometric Synthetic Aperture Radar (InSAR), to a global reference frame in an attempt to build worldwide observations of coastal land subsidence. |
format | Online Article Text |
id | pubmed-10314896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103148962023-07-03 GNSS land subsidence observations along the northern coastline of Java, Indonesia Susilo, Susilo Salman, Rino Hermawan, Wawan Widyaningrum, Risna Wibowo, Sidik Tri Lumban-Gaol, Yustisi Ardhitasari Meilano, Irwan Yun, Sang-Ho Sci Data Data Descriptor Land subsidence in cities along the northern coastline of Java has been at a worrying level. Monitoring efforts using geodetic data reveal that Jakarta, Pekalongan, Semarang, and Demak subside at least ~9x faster than the present-day rate of global sea level rise, which affects the cities’ future urban viability. In this study, we publish a time series of the precise 3D displacements observed by twenty continuous Global Navigation Satellite System (GNSS) stations between 2010 and 2021. These are the first open-to-the-public and rigorously processed GNSS datasets that are useful for accurately quantifying land subsidence in the densely populated sinking cities in Java. The data also provides a way to tie other geodetic observations, such as Interferometric Synthetic Aperture Radar (InSAR), to a global reference frame in an attempt to build worldwide observations of coastal land subsidence. Nature Publishing Group UK 2023-07-01 /pmc/articles/PMC10314896/ /pubmed/37393372 http://dx.doi.org/10.1038/s41597-023-02274-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Susilo, Susilo Salman, Rino Hermawan, Wawan Widyaningrum, Risna Wibowo, Sidik Tri Lumban-Gaol, Yustisi Ardhitasari Meilano, Irwan Yun, Sang-Ho GNSS land subsidence observations along the northern coastline of Java, Indonesia |
title | GNSS land subsidence observations along the northern coastline of Java, Indonesia |
title_full | GNSS land subsidence observations along the northern coastline of Java, Indonesia |
title_fullStr | GNSS land subsidence observations along the northern coastline of Java, Indonesia |
title_full_unstemmed | GNSS land subsidence observations along the northern coastline of Java, Indonesia |
title_short | GNSS land subsidence observations along the northern coastline of Java, Indonesia |
title_sort | gnss land subsidence observations along the northern coastline of java, indonesia |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314896/ https://www.ncbi.nlm.nih.gov/pubmed/37393372 http://dx.doi.org/10.1038/s41597-023-02274-0 |
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