Land subsidence induced by agriculture activity in Bandung, West Java Indonesia

Sidiq, Teguh P.; Gumilar, Irwan; Abidin, Hasanuddin Z.; Gamal, M.

doi:10.1088/1755-1315/389/1/012024

Cited by 8 publications

(6 citation statements)

References 19 publications

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“…Dimensionality reduction is often performed on big data sets to extract informative features, which can serve as a pre-processing step to help downstream clustering algorithms perform better. Previous InSAR studies have used Principal Component Analysis (PCA) as a data reduction method to identify the dominant patterns of deformation by finding the directions of maximum variance in the data [71,72]. However, PCA is a linear decomposition method, which limits its usefulness in complex domains where non-linear structure exists.…”

Section: Discussionmentioning

confidence: 99%

A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)

Rygus,

Novellino,

Hussain

et al. 2023

Remote Sensing

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Interferometric Synthetic Aperture (InSAR) time series measurements are widely used to monitor a variety of processes including subsidence, landslides, and volcanic activity. However, interpreting large InSAR datasets can be difficult due to the volume of data generated, requiring sophisticated signal-processing techniques to extract meaningful information. We propose a novel framework for interpreting the large number of ground displacement measurements derived from InSAR time series techniques using a three-step process: (1) dimensionality reduction of the displacement time series from an InSAR data stack; (2) clustering of the reduced dataset; and (3) detecting and quantifying accelerations and decelerations of deforming areas using a change detection method. The displacement rates, spatial variation, and the spatio-temporal nature of displacement accelerations and decelerations are used to investigate the physical behaviour of the deforming ground by linking the timing and location of changes in displacement rates to potential causal and triggering factors. We tested the method over the Bandung Basin in Indonesia using Sentinel-1 data processed with the small baseline subset InSAR time series technique. The results showed widespread subsidence in the central basin with rates up to 18.7 cm/yr. We identified 12 main clusters of subsidence, of which three covering a total area of 22 km2 show accelerating subsidence, four clusters over 52 km2 show a linear trend, and five show decelerating subsidence over an area of 22 km2. This approach provides an objective way to monitor and interpret ground movements, and is a valuable tool for understanding the physical behaviour of large deforming areas.

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Section: Discussionmentioning

confidence: 99%

A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)

Rygus,

Novellino,

Hussain

et al. 2023

Remote Sensing

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“…This research employs elevation data referenced to the mean sea level datum elevation, taking into account a maximum land subsidence rate of 16 cm per year in the western part of Pekalongan City [11].…”

Section: Land Subsidencementioning

confidence: 99%

“…Additionally, river flooding, linked to the city's location in lower reaches and the presence of sloping rivers, poses a constant threat [10]. Pekalongan's geographic features, including alluvial plains shaped by the Banger and Pencongan rivers, contribute to flood risks [11]. Flood disasters impact built-up areas, and identifying these disaster-prone locations is crucial for effective mitigation and management efforts [5].…”

Section: Introductionmentioning

confidence: 99%

An overview of flood risk components: The Land subsidence case of Pekalongan City

Putri,

Syakira,

Nugroho

et al. 2024

E3S Web Conf.

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Pekalongan City is located on the northern coast of Java Island, where climate crises, floods, and tidal waves pose significant threats exacerbated by rising sea levels and land subsidence. This study aims to mitigate of flood future losses and emphasizes its potential as input for Indonesian regulators to enhance current flood hazard classifications. This study conducts a comprehensive flood risk analysis, emphasizing a detailed review of flood hazard classification quantitatively with flood hazard mapping. The results showed flood hazard mapping, comparing NDMA, MPW, and proposed classifications, indicates a tendency for MPW to overestimate hazards, particularly categorizing depths of 0.5 m and above as “High”. The flood depth according to MPW with land subsidence produces a flood inundation area of 14,145 Ha. This shows that land subsidence recorded in risk mapping can increase the overall hazard level. This study proposed flood depth and velocity classification, balancing NDMA’s underestimation and MPW’s overestimation, offering a more comprehensive approach.

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“…Pengembangan pusat primer di Kota Bandung ini direncanakan di Kawasan Gedebage. Kawasan Gedebage adalah lokasi yang strategis yang dapat diakses dengan mudah dari banyak daerah baik di Kota Bandung maupun di Kabupaten Bandung [2]. Pengembangan kawasan Gedebage dilakukan dengan melakukan pembangunan infrastruktur kota, akses tol Gedebage, dan sarana prasarana pendukung lainnya.…”

Section: Pendahuluanunclassified

Karakteristik Tanah Kawasan Gedebage Kota Bandung Berdasarkan Hasil Uji Lapangan dan Laboratorium

Zhafirah

2020

Jurnal Konstruksi

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Kawasan Gedebage berada di Kota Bandung, Jawa Barat yang merupakan lokasi strategis dan dapat diakses dengan mudah dari banyak daerah. Kawasan Gedebage kini sedang dilaksanakan pengembangan mulai dari infrastruktur dan prasarana pendukung lainnya. Namun, kawasan Gedebage ini termasuk ke dalam wilayah cekungan Bandung yang didominasi oleh lempung lunak. Lempung lunak termasuk jenis tanah yang kurang menguntungkan. Karakteristik, sifat, dan parameter-parameter tanah tersebut perlu diketahui sebagai data awal dalam analisis perencanaan konstruksi selanjutnya. Metode yang digunakan dalam penelitian ini adalah pengujian di lapangan dan di laboratorium. Pengujian lapangan yang dilakukan berupa CPT dan DPT, sedangkan pengujian laboratorium meliputi sifat fisis dan mekanis tanah. Hasil yang didapatkan pada penelitian ini menunjukkan bahwa tanah di kawasan Gedebage, Kota Bandung merupakan lempung lunak dengan plastisitas tinggi. Klasifikasi menurut AASHTO tanah pada penelitian ini merupakan kelompok A-7-5(41) dan menurut USCS adalah kelompok CH.

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Land subsidence induced by agriculture activity in Bandung, West Java Indonesia

Cited by 8 publications

References 19 publications

A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)

A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)

An overview of flood risk components: The Land subsidence case of Pekalongan City

Karakteristik Tanah Kawasan Gedebage Kota Bandung Berdasarkan Hasil Uji Lapangan dan Laboratorium

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