Assessments of serious anthropogenic land subsidence in Yunlin County of central Taiwan from 1996 to 1999 by Persistent Scatterers InSAR

Tung, Hsin; Hu, Jyr Ching

doi:10.1016/j.tecto.2012.08.009

Cited by 66 publications

(39 citation statements)

References 43 publications

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“…It reaches about 50 -55 mm yr -1 in the Kaohsiung-Pingtung area and deviate about 25 -30° counterclockwise in the direction near the Kaohsiung-Pingtung coast, in which the tectonic extrusion plays an important role for counterclockwise block rotation (e.g., Hu et al 2007;Ching et al 2007). For vertical deformation, a significant subsidence occurred in coastal area of Chiayi and Pingtung area due to the over pumping of ground water for aquaculture usage (e.g., Hou et al 2005;Lin et al 2010;Hsieh et al 2011;Tung and Hu 2012). The tectonic uplift are mostly located in the hill and mountainous area of the Western Foothills and Central Range.…”

Section: The High Precision Velocity Field From 2007 -2015mentioning

confidence: 99%

Pre-seismic strain anomalies and coseismic deformation of Meinong earthquake from continuous GPS

Tsai¹,

Shin²,

Kuo³

2017

Terr. Atmos. Ocean. Sci.

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High strain accumulation across the fold-and-thrust belt in SW Taiwan are revealed by the Continuous GPS (cGPS) from 2007 -2015. This high strain is generally accommodated by the major active structures in fold-and-thrust belt of western Foothills. In addition, the plastic deformation of mudstone in the Gutingkeng formation might play a crucial role for aseismic creeping. Furthermore, the distributed rightlateral shear zone, fault-related folding and aseismic creeping are also dominated from Lungchuan fault and Chishan fault to the north of Kaohsiung area. Based on distribution of coseismic uplift across the Lungchuan fault to the Tainan tableland, a clear evidence of multiple fault slips was triggered by the 2016 M w 6.4 Meinong earthquake at ~15 km. The surface coseismic deformation is mainly controlled by a fault-related folding structures connected to the shallow décollement around 5 -10 km depth, in which the moderate earthquakes locate in mid-crust could trigger slip along the weak décollement. The pre-seismic baseline variation of cGPS is observed in 8 baselines near the epicenter of the Meinong earthquake. The rate-slow-down anomalies of these baseline variation could be considered as a possible precursor of the Meinong earthquake.

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Section: The High Precision Velocity Field From 2007 -2015mentioning

confidence: 99%

Pre-seismic strain anomalies and coseismic deformation of Meinong earthquake from continuous GPS

Tsai¹,

Shin²,

Kuo³

2017

Terr. Atmos. Ocean. Sci.

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“…For the selection of the stable pixels (or PS pixels), Ferretti et al (2001) developed a method based on the variation of the pixel amplitude in a series of numerous interferograms particularly adapted for urban areas and fast displacement rates. Many studies have been focused on land subsidence using the former PS method (e.g., Kim et al, 2007;Stramondo et al, 2008;Cigna et al, 2012;Tung and Hu, 2012). Hooper et al (2004) developed a method based on the spatial correlation of the phase and the amplitude, as well as suitability for natural outcrops and low displacement rates.…”

Section: Methodsmentioning

confidence: 99%

Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data

Dang

Doubre

Weber

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Since the 1990s the land subsidence due to the rapid urbanization has been considered a severely destructive hazard in the center of Hanoi City. Although previous studies and measurements have quantified the subsiding deformation in Hanoi center, no data exist for the newly established districts in the south and the west, where construction development has been most significant and where groundwater pumping has been very intensive over the last decade. With a multi-temporal InSAR approach, we quantify the spatial distribution of the land subsidence in the entire Hanoi urban region using ALOS images over the 2007-2011 period. The map of the mean subsidence velocity reveals that the northern bank of the Red River appears stable, whereas some areas in southern bank are subsiding with a mean vertical rate up to 68.0 mm yr −1 , especially within the three new urban districts of Hoang Mai, Ha Dong -Thanh Xuan and Hoai DucTu Liem. We interpret the spatial distribution of the surface deformation as the combination of the nature of the unsaturated layer, the lowering of groundwater in the aquifers due to pumping withdrawal capacity, the increase of built-up surfaces and the type of building foundation. The piezometric level in Q p aquifer lowers particularly after 2008, whereas the groundwater level in Q h aquifer remains steady, even if it loses its seasonal fluctuation in urban areas and drawdowns in neighboring water production plants. The time evolution deduced from the InSAR time series is consistent with previous leveling data and shows that the lowering rate of the surface slightly decreases till 2008. The analysis of groundwater levels in instrumented wells shows a correlation between the behavior of groundwater with the urban development and the acceleration of groundwater withdrawal. Also, the time variations suggest that the deformation became non-stationary, with upward and downward transient displacements related to the charge and discharge of the aquifers.

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“…ENSO shows strong linkages with precipitation in parts of the Indonesian archipelago (Aldrian and Susanto, 2003;Aldrian et al, 2007;Hendon, 2003;Qian et al, 2010), and is linked to anomalies in both discharge (Poer- +7 to +20 Baseline + land subsidence 421 +126 Baseline + all future changes combined * 521 (median) +180 393-673 (5th-95th percentiles) +111 to +262 bandono et al, 2014) and flood volumes (Ward et al, 2014a). The current generation of climate models shows little agreement on whether (and if so how) the frequency of ENSO could change due to climate change (Guilyardi et al, 2009;Paeth et al, 2008;Van Oldenborgh et al, 2005). However, a recent study suggested that extreme El Niño events (which are associated with negative flood anomalies in western Java; Ward et al, 2014a) may become more frequent (Cai et al, 2014).…”

Section: Uncertainty In Projections Of Change In Precipitation Intensitymentioning

confidence: 99%

“…(DMR, 2000in Phien-wej et al, 2006. In Taiwan, the Yunlin area has similar subsidence rates to northern Jakarta, ranging from 3.5 to 14.3 cm year −1 (Tung and Hu, 2012). In this area, high flood damages have also been simulated, for example USD 171 million for a 200-year return period flood.…”

Section: Relative Influence Of Different Drivers On Flood Riskmentioning

confidence: 99%

River flood risk in Jakarta under scenarios of future change

Budiyono

Aerts

Tollenaar

et al. 2016

Nat. Hazards Earth Syst. Sci.

106

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Abstract. Given the increasing impacts of flooding in Jakarta, methods for assessing current and future flood risk are required. In this paper, we use the DamagescannerJakarta risk model to project changes in future river flood risk under scenarios of climate change, land subsidence, and land use change. Damagescanner-Jakarta is a simple flood risk model that estimates flood risk in terms of annual expected damage, based on input maps of flood hazard, exposure, and vulnerability. We estimate baseline flood risk at USD 186 million p.a. Combining all future scenarios, we simulate a median increase in risk of +180 % by 2030. The single driver with the largest contribution to that increase is land subsidence (+126 %). We simulated the impacts of climate change by combining two scenarios of sea level rise with simulations of changes in 1-day extreme precipitation totals from five global climate models (GCMs) forced by the four Representative Concentration Pathways (RCPs). The results are highly uncertain; the median change in risk due to climate change alone by 2030 is a decrease by −46 %, but we simulate an increase in risk under 12 of the 40 GCM-RCPsea level rise combinations. Hence, we developed probabilistic risk scenarios to account for this uncertainty. If land use change by 2030 takes places according to the official Jakarta Spatial Plan 2030, risk could be reduced by 12 %. However, if land use change in the future continues at the same rate as the last 30 years, large increases in flood risk will take place. Finally, we discuss the relevance of the results for flood risk management in Jakarta.

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Assessments of serious anthropogenic land subsidence in Yunlin County of central Taiwan from 1996 to 1999 by Persistent Scatterers InSAR

Cited by 66 publications

References 43 publications

Pre-seismic strain anomalies and coseismic deformation of Meinong earthquake from continuous GPS

Pre-seismic strain anomalies and coseismic deformation of Meinong earthquake from continuous GPS

Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data

River flood risk in Jakarta under scenarios of future change

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