scholarly journals Hydrologic control on natural land subsidence in the shallow coastal aquifer of the Ravenna coast, Italy

2020 ◽  
Vol 382 ◽  
pp. 263-268
Author(s):  
Marco Antonellini ◽  
Beatrice Maria Sole Giambastiani ◽  
Nicolas Greggio ◽  
Luciana Bonzi ◽  
Lorenzo Calabrese ◽  
...  
Keyword(s):  
Time Series ◽  
Water Table ◽  
Land Subsidence ◽  
Coastal Aquifer ◽  
Elastic Component ◽  
Data Set ◽  
Subsidence Rate ◽  
Natural Land ◽  
Primary Consolidation ◽  
Land Subsidence Rate

Abstract. Multiple processes contributing to natural land subsidence in a shallow coastal aquifer near Ravenna (Italy) were identified by analysing the relationships among different data set time series (water table level, rainfall, land reclamation drainage, sea level, etc.) and establishing the correlations with vertical ground motion observed at a high-resolution settlement gauge. Our study highlights the presence of three deformation components related to different processes controlling land subsidence: elastic, delayed-elastic, and irreversible (plastic) components. The elastic and delayed-elastic components are closely related to water table fluctuations that change the effective stress in two portions of the coastal aquifer at a daily (in the sandy unconfined portion) and seasonal time scales (in the layered clay-rich semi-confined prodelta portion), respectively. The irreversible component represents the trend in the land subsidence time series and is due to primary consolidation (pore pressure dissipation) of the fine-grained prodelta levels above where the settlement gauge is located. The amplitudes of the elastic component can be up to 0.2–0.3 mm whereas the amplitude of the delayed-elastic component reaches 0.89 mm. The primary consolidation rate of deformation is 0.9 mm yr−1 and constrains the likely age of prodelta sediments deposition to 1300–2800 years before present. The delayed-elastic subsidence rate has similar magnitude to that due to primary consolidation and is connected to poroelastic effects in the prodelta sequence following seasonal variations in water table. Our findings are important for planning land subsidence management and monitoring strategies especially where the surface aquifer structure is heterogeneous due to different depositional settings. The natural land subsidence rate in the Holocene sediments of the shallow coastal aquifer of Ravenna (North eastern Italy) that we measured in this study accounts for 10 %–20 % of the total current land subsidence rate observed in this portion of Ravenna coastal area (10–20 mm yr−1).

scholarly journals Land subsidence rate analysis of Jakarta Metropolitan Region based on D-InSAR processing of Sentinel data C-Band frequency

2019 ◽  
Vol 1185 ◽  
pp. 012004 ◽  
Author(s):  
Joko Widodo ◽  
Arie Herlambang ◽  
Albertus Sulaiman ◽  
Pakhrur Razi ◽  
Yohandri ◽  
...  
Keyword(s):  
Land Subsidence ◽  
Metropolitan Region ◽  
Band Frequency ◽  
Subsidence Rate ◽  
Rate Analysis ◽  
Land Subsidence Rate

Land Subsidence Rate of Jakarta Metropolitan Area Observed By Stacking Sentinel-1 Data

2021 ◽  
Author(s):  
Agustan Agustan ◽  
Estu Kriswati ◽  
Takeo Ito ◽  
Firman Maliki Abdullah ◽  
Yudi Anantasena ◽  
...  
Keyword(s):  
Metropolitan Area ◽  
Land Subsidence ◽  
Subsidence Rate ◽  
Land Subsidence Rate

scholarly journals Land subsidence characteristics and disaster prevention in the Tongzhou area, Beijing

2020 ◽  
Vol 382 ◽  
pp. 715-719
Author(s):  
Luo Yong ◽  
Zhao Long ◽  
Zhu Lin ◽  
Tian Fang ◽  
Lei Kunchao ◽  
...  
Keyword(s):  
Land Subsidence ◽  
Early Warning ◽  
Decision Makers ◽  
Disaster Prevention ◽  
Groundwater Extraction ◽  
Groundwater Exploitation ◽  
Scientific Support ◽  
Subsidence Rate ◽  
The Impact ◽  
Land Subsidence Rate

Abstract. Accurately assessing the impact of groundwater exploitation on land subsidence can provide scientific support for decision-makers. This article establishes a groundwater–subsidence model in a typical area using the land subsidence characteristics of Tongzhou, China, and subsequently classifies a land subsidence early warning zone based on the land subsidence rate. Results show that land subsidence occurred throughout the whole Tongzhou District. The land subsidence that developed to the west of Liuzhuang, Tongzhou city and Taihu was the most serious The maximum annual subsidence rate reached 120 mm a−1 under the current groundwater extraction conditions, and the early warning level for land subsidence reached its highest level. If the pumping of groundwater was reduced by 50 % in the second and the fourth aquifers and by 60 % in the third aquifer, the land subsidence early warning level would be largely reduced and would meet the requirements for land subsidence control.

scholarly journals Land subsidence detection in Jakarta Province using Sentinel-1A Satellite Imagery

2021 ◽  
Vol 944 (1) ◽  
pp. 012036
Author(s):  
D Situmorang ◽  
R E Arhatin ◽  
J Lumban-Gaol
Keyword(s):  
Satellite Imagery ◽  
Land Subsidence ◽  
Land Surface ◽  
Satellite Images ◽  
Coastal Areas ◽  
Natural Processes ◽  
Subsidence Rate ◽  
A Value ◽  
Alluvial Deposition ◽  
Land Subsidence Rate

Abstract The land surface in Jakarta Province is thought to have experienced relatively continuous subsidence because of natural processes and artificial activities. This research was carried out to evaluate the rate of land subsidence in Jakarta Province. Based on this research, it can be shown from the Sentinel-1A satellite images that there has been landed subsidence. The data used are two pairs of Sentinel-1A Single Looking Complex (SLC) images acquired in 2019 and 2020. The data was processed using the DInSAR method to examine the rate of land subsidence. The results show that the land subsidence rate in Jakarta Province during the 2019-2020 period varies from 1.8 cm to -10.7 cm/year. The literature data results in 2016 experienced a decrease in land subsidence with a significant value of -12.6 cm/year. Land subsidence in 2017 averaged -1.8 cm/year. The land subsidence results from 2019 to 2020 have a value that tends to be lower than in 2016 of - 3.62 cm/year. Land subsidence occurs mostly in coastal areas and near estuaries caused by the nature of alluvial deposition materials. It has caused damages to road infrastructure in several regions of Jakarta Province, such as Mutiara Beach, West Cengkareng, and Pademangan.

Land Subsidence Detection in Jakarta Province Using Sentinel-1A Satellite Imagery

2021 ◽  
Author(s):  
David Situmorang ◽  
Risti Endrani Arhatin ◽  
Jonson Lumban-Gaol ◽  
Devyan Meisnnehr
Keyword(s):  
Satellite Imagery ◽  
Land Subsidence ◽  
Land Surface ◽  
Coastal Areas ◽  
Natural Processes ◽  
Subsidence Rate ◽  
Alluvial Deposition ◽  
Level 1 ◽  
The City ◽  
Land Subsidence Rate

<p>The land surface in DKI Jakarta Province is thought to have experienced relatively continuous subsidence because of natural processes and man-made activities. This research was carried out to evaluate the rate of land subsidence in Jakarta Province. The data used in this study are two pairs of Sentinel-1A level 1 Single Looking Complex (SLC) images which were acquired in 2019 and 2020. The data was processed using the DInSAR method to examine the rate of land subsidence.  The results show that the land subsidence rate in Jakarta Province during the 2019-2020 period varies from 1.8 cm to -10.7 cm/year. From 2019 to 2020, the average land subsidence in the City of North Jakarta is around –4.9 cm/year, East Jakarta is around –2.5 cm/year, West Jakarta is around –4.8 cm/year, Central Jakarta is around –3.1 cm/year, and South Jakarta about –2.8 cm/year. Land subsidence occurs mostly in coastal areas and near estuaries caused by the nature of alluvial deposition materials. It has caused damages to road infrastructure in several regions of Jakarta Province, such as Mutiara Beach, West Cengkareng, and Pademangan.</p><p> </p><p>Keywords: coastal areas, DInSAR, land subsidence, satellite imagery, Sentinel-1A</p>

Optimal design of an hydrogeophysical monitoring system of compacting volcanic aquifers (Tenerife Island)

2021 ◽  
Author(s):  
Pablo J. Gonzalez ◽  
Maria Charco ◽  
Antonio Eff-Darwich ◽  
Anthony Lamur ◽  
Rayco Marrero ◽  
...  
Keyword(s):  
Time Series ◽  
Network Design ◽  
Water Table ◽  
Land Subsidence ◽  
Penalty Function ◽  
Surface Deformation ◽  
Low Rank ◽  
Tenerife Island ◽  
Compaction Processes

<p>Groundwater in volcanic islands is usually the main source of freshwater, and it is essential for sustainable development. In Tenerife Island, groundwater extraction occurs by drilling horizontal water tunnels, called water galleries, as well as numerous coastal wells. Since around 1900, but especially since the 1960s, hundreds of water tunnels have been drilled for agriculture and freshwater supply. This has resulted in a sustained extraction of groundwater larger than the natural recharge, leading to a general water table decline, locally up to 200 m of down drop. Since 2000, satellite radar interferometry (InSAR) applied to measure surface deformation has located several subsidence bowls (e.g., Fernandez et al., 2009). The localized surface deformation patterns have been correlated with water table changes and hence aquifer compaction. However, no further investigations have been carried out to confirm which characteristics (chemical composition, texture, porous network, alterations, etc.) of the volcanic materials can control compaction process, and to which extent porous volcanic units, the most abundant material in Tenerife, can compact to explain the observed surface deformation. This lack of knowledge might affect the effectiveness of water management policies.</p><p>To investigate the compaction processes affecting the volcanic aquifer, we propose to set up a passive hydrogeophysical monitoring network composed of geodetic and seismological instruments. However, considering logistic constrains it is desirable to have as low as possible number of observation sites, whist maximizing the detection and characterization of the aquifer dynamics. Here, we explore different network configurations to maximize the spatial and temporal characterization of the compaction processes using machine learning methods (low-rank matrix techniques). We pose the network design as an optimization process with the aim to parsimoniously have as fewer as possible ground station sites, and have a low error on reconstructing spatiotemporal land subsidence observations. Land subsidence rates were estimated using Sentinel-1 radar interferometric observations from October 2014 to December 2020. This method allows for an optimal network configuration, with respect to the dual penalty function, which facilitate the decision making. Nevertheless, this type of network design should be regarded as proposals because some station site conditions are a priori unknown. Although, one could modify the penalty function to optimize the network considering additional types of information, e.g., geological materials, groundwater table time series, etc.</p><p>Fernandez, J., et al. (2009), Gravity-driven deformation of Tenerife measured by InSAR time series analysis, Geophys. Res. Lett., 36, L04306, doi:10.1029/2008GL036920.</p>

scholarly journals Is There Deep-Seated Subsidence in the Houston-Galveston Area?

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jiangbo Yu ◽  
Guoquan Wang ◽  
Timothy J. Kearns ◽  
Linqiang Yang
Keyword(s):  
Land Subsidence ◽  
Groundwater Level ◽  
Land Surface ◽  
The Past ◽  
Subsidence Rate ◽  
Different Depths ◽  
Subsidence Monitoring ◽  
Near Future ◽  
Land Subsidence Rate

Long-term continuous groundwater level and land subsidence monitoring in the Houston-Galveston area indicates that, during the past two decades (1993–2012), the groundwater head has been increasing and the overall land subsidence rate has been decreasing. Assuming that the hydraulic head in the aquifer will reach or exceed the preconsolidation level in the near future, will subsidence in the Houston-Galveston area eventually cease? The key to answer this question is to identify if there is deep-seated subsidence in this area. This study investigated the recent subsidence observed at different depths in the Houston-Galveston area. The subsidence was recorded by using 13 borehole extensometers and 76 GPS antennas. Four of the GPS antennas are mounted on the deep-anchored inner pipes of borehole extensometers. We conclude that recent subsidence (1993–2012) in the Houston-Galveston area was dominated by the compaction of sediments within 600 m below the land surface. Depending on the location of specific sites, the compaction occurred within the Chicot aquifer and part or all of the Evangeline aquifer. No measurable compaction was observed within the Jasper aquifer or within deeper strata. Deep-seated subsidence is not likely occurring in the Houston-Galveston area.

scholarly journals Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry

2020 ◽  
Vol 218 ◽  
pp. 04002
Author(s):  
Peilian Ran ◽  
Shaoda Li ◽  
Keren Dai ◽  
Xiaoxia Yang
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Subsidence Rate ◽  
Subsidence Area ◽  
Long Time ◽  
Maximum Subsidence ◽  
The Government ◽  
Sbas Insar ◽  
First Time

Beijing is one of the largest cities in China, which has suffered from land subsidence for a long time. According to the study from 2005 to 2017, the maximum subsidence rate of Beijing is more than 10 cm/year. This paper will use Sentinel-1A TOPS data for the first time to reveal the land subsidence of Beijing from 2017 to 2018 by using time series interferometry. SBAS-InSAR technology was used for time series analysis. The annual mean subsidence rate and time series subsidence of Beijing were obtained. The results show that the east of Chaoyang district and the northwest of Tongzhou district were the severe subsidence areas in Beijing, and the subsidence rate is more than 10 cm/year, which indicates that the subsidence area in Beijing is continuous in recent years, and corresponding measures should be taken by the government.

scholarly journals THREE-DIMENSIONAL SUBSIDENCE MONITORING OF RECLAMATION AREA BASED ON TS-INSAR TECHNOLOGY

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 297-302
Author(s):  
C. Ren ◽  
X. J. Shi ◽  
L. Zhou ◽  
Y. L. Huang ◽  
Y. J. Liang ◽  
...  
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Three Dimensional ◽  
Interferometric Synthetic Aperture Radar ◽  
Envisat Asar ◽  
Subsidence Rate ◽  
Aster Gdem ◽  
Reclamation Area ◽  
Maximum Subsidence ◽  
Subsidence Monitoring

Abstract. This study used the Time Series Interferometric Synthetic Aperture Radar (TS-InSAR) technology and the ENVISAT ASAR dataset obtained between 2007 and 2010 and the Sentinel-1A dataset from 2017 to 2019 to determine the subsidence in the Shenzhen reclamation area, and used ASTER GDEM V2 to remove the phase jump caused by spectral decorrelation between bursts. Based on the time series of land subsidence of the reclamation area, a three-dimensional subsidence model of the reclamation area was established. By comparing and analyzing the subsidence results of two sets of satellite time series in the reclamation area, the temporal and spatial evolution of land subsidence and the cause of land subsidence in the reclamation area were analyzed. The results show that the test results of time series ENVISAT ASAR and Sentinel-1A have good continuity in subsidence spatialtemporal variation: From 2007 to 2010, the land subsidence in most areas of Shenzhen reclamation area is relatively stable, and the area where subsidence occurs is mainly distributed in Baoan District, the maximum subsidence rate in Baoan District is −23.12 mm/year. From 2017 to 2019, land subsidence in the reclamation area showed a tendency to spread and spread from west to east. The subsidence characteristics of Nanshan District are the most obvious, and the maximum subsidence rate is −17.52 mm/year.

scholarly journals Subsidence monitoring with TerraSAR-X data in Beijing Central Business District and subway tunnelings, China

2020 ◽  
Vol 382 ◽  
pp. 125-130 ◽  
Author(s):  
Fengkai Li ◽  
Huili Gong ◽  
Beibei Chen ◽  
Mingliang Gao ◽  
Chaofan Zhou
Keyword(s):  
Land Subsidence ◽  
Large Scale ◽  
Central Business District ◽  
Economic Losses ◽  
Additional Stress ◽  
Engineering Construction ◽  
Subsidence Rate ◽  
Business District ◽  
Land Subsidence Rate ◽  
Building Loads

Abstract. Land subsidence caused by large-scale engineering construction may damage the surrounding infrastructures and cause huge economic losses in inner-city environments. In this study, we used PS-InSAR technology on 68 TerraSAR-X images to acquire deformation in the Beijing Plain between February 2010 and December 2018. Then, we calculated the additional stress derived from building loads using the method proposed by Boussinesq in the Central Business District (CBD). We found that the depth of influence of additional stresses induced by building loads was 80 m and that spatial distribution pattern of the land subsidence rate agreed well with the additional stress. We found that the influence range of ground subsidence caused by metro construction is 200 m at Ciqikou station by analyzing the subsidence rate profile perpendicular to subway line No. 7 and that the maximum land subsidence rate is 23.2 mm yr−1. Time series analysis of PS around Ciqikou station shows that land subsidence caused by excavation activities mainly occurs in the period of metro construction. Ground deformation rate decreases gradually after 372 d of subway operation. The results of both cases show that large-scale engineering construction will lead to significant land subsidence which should be considered in future urbanization.

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