Characterization of land subsidence in the Choshui River alluvial fan, Taiwan

2004 ◽  
Vol 45 (8) ◽  
pp. 1154-1166 ◽  
Author(s):  
Chih-Hsi Liu ◽  
Yii-Wen Pan ◽  
Jyh-Jong Liao ◽  
Chen-Tair Huang ◽  
Shoung Ouyang
Keyword(s):  
Land Subsidence ◽  
Alluvial Fan

scholarly journals Characterization of land subsidence induced by groundwater withdrawals in Wenyu River alluvial fan, Beijing, China

2015 ◽  
Vol 372 ◽  
pp. 481-484
Author(s):  
R. Wang ◽  
Y. Luo ◽  
Y. Yang ◽  
F. Tian ◽  
Y. Zhou ◽  
...  
Keyword(s):  
Mechanical Behavior ◽  
Land Subsidence ◽  
Monitoring Program ◽  
Alluvial Fan ◽  
Plain Area ◽  
Beijing Plain ◽  
Groundwater Overdraft ◽  
Subsidence Monitoring ◽  
Beijing China

Abstract. The Beijing plain area has suffered from severe land subsidence owing to groundwater overdraft. A major example is the Wenyu River alluvial fan in the Beijing plain area. This area has experienced as much as 10 m of land subsidence through 2000s. An integrated subsidence-monitoring program, including borehole extensometer and multilayer monitoring of groundwater, has been designed to meet the needs of monitoring land subsidence in this region. This work has allowed us to characterize land subsidence and understand the mechanical properties of the strata. The analysis results show the development of the land subsidence in this area is consistent with water-level change. The major strata contributing to compression deformation are Mid-Pleistocene stratum which contributed around 70 % of total subsidence. The shallow stratum and deep stratum show elastic mechanical behavior the intermediate stratum exhibit elastic-plastic mechanical behavior.

Characterization of Irreversible Land Subsidence in the Yazd‐Ardakan Plain, Iran from 2003‐2020 InSAR Time Series

2021 ◽  
Author(s):  
Sayyed Mohammad Javad Mirzadeh ◽  
Shuanggen Jin ◽  
Esmaeel Parizi ◽  
Estelle Chaussard ◽  
Roland Bürgmann ◽  
...  
Keyword(s):  
Time Series ◽  
Land Subsidence

scholarly journals Characterization of earth fissures in South Jiangsu, China

2015 ◽  
Vol 372 ◽  
pp. 249-253 ◽  
Author(s):  
S. Ye ◽  
Y. Wang ◽  
J. Wu ◽  
P. Teatini ◽  
J. Yu ◽  
...  
Keyword(s):  
Land Subsidence ◽  
Earth Fissure ◽  
Aquifer System ◽  
Groundwater Levels ◽  
Earth Fissures ◽  
The Earth ◽  
Cumulative Length ◽  
Differential Land Subsidence

Abstract. The Suzhou-Wuxi-Changzhou (known as "Su-Xi-Chang") area, located in the southern part of Jiangsu Province, China, experienced serious land subsidence caused by overly exploitation of groundwater. The largest cumulative land subsidence has reached 3 m. With the rapid progress of land subsidence since the late 1980s, more than 20 earth fissures developed in Su-Xi-Chang area, although no pre-existing faults have been detected in the surroundings. The mechanisms of earth fissure generation associated with excessive groundwater pumping are: (i) differential land subsidence, (ii) differences in the thickness of the aquifer system, and (iii) bedrock ridges and cliffs at relatively shallow depths. In this study, the Guangming Village Earth Fissures in Wuxi area are selected as a case study to discuss in details the mechanisms of fissure generation. Aquifer exploitation resulted in a drop of groundwater head at a rate of 5–6 m yr−1 in the 1990s, with a cumulative drawdown of 40 m. The first earth fissure at Guangming Village was observed in 1998. The earth fissures, which developed in a zone characterized by a cumulative land subsidence of approximately 800 mm, are located at the flank of a main subsidence bowl with differential subsidence ranging from 0 to 1600 mm in 2001. The maximum differential subsidence rate amounts to 5 mm yr−1 between the two sides of the fissures. The fissure openings range from 30 to 80 mm, with a cumulative length of 1000 m. Depth of bed rock changes from 60 to 140 m across the earth fissure. The causes of earth fissure generation at Guangming Village includes a decrease in groundwater levels, differences in the thickness of aquifer system, shallow depths of bedrock ridges and cliffs, and subsequent differential land subsidence.

scholarly journals Land subsidence due to groundwater pumping: hazard probability assessment through the combination of Bayesian model and fuzzy set theory

2021 ◽  
Vol 21 (2) ◽  
pp. 823-835
Author(s):  
Huijun Li ◽  
Lin Zhu ◽  
Gaoxuan Guo ◽  
Yan Zhang ◽  
Zhenxue Dai ◽  
...  
Keyword(s):  
Set Theory ◽  
Land Subsidence ◽  
Fuzzy Set ◽  
Groundwater Level ◽  
Fuzzy Set Theory ◽  
Bayesian Model ◽  
Large Scale ◽  
Alluvial Fan ◽  
Prevention Measures ◽  
Hazard Assessments

Abstract. Land subsidence caused by groundwater overpumping threatens the sustainable development in Beijing. Hazard assessments of land subsidence can provide early warning information to improve prevention measures. However, uncertainty and fuzziness are the major issues during hazard assessments of land subsidence. We propose a method that integrates fuzzy set theory and weighted Bayesian model (FWBM) to evaluate the hazard probability of land subsidence measured by Interferometric Synthetic Aperture Radar (InSAR) technology. The model is structured as a directed acyclic graph. The hazard probability distribution of each factor triggering land subsidence is determined using Bayes' theorem. Fuzzification of the factor significance reduces the ambiguity of the relationship between the factors and subsidence. The probability of land subsidence hazard under multiple factors is then calculated with the FWBM. The subsidence time series obtained by InSAR is used to infer the updated posterior probability. The upper and middle parts of the Chaobai River alluvial fan are taken as a case-study site, which locates the first large-scale emergency groundwater resource region in the Beijing plain. The results show that rates of groundwater level decrease more than 1 m yr−1 in the confined and unconfined aquifers, with cumulative thicknesses of the compressible sediments between 160 and 170 m and Quaternary thicknesses between 400 and 500 m, yielding maximum hazard probabilities of 0.65, 0.68, 0.32, and 0.35, respectively. The overall hazard probability of land subsidence in the study area decreased from 51.3 % to 28.3 % between 2003 and 2017 due to lower rates of groundwater level decrease. This study provides useful insights for decision makers to select different approaches for land subsidence prevention.

scholarly journals Space-Time Evolutions of Land Subsidence in the Choushui River Alluvial Fan (Taiwan) from Multiple-Sensor Observations

2021 ◽  
Vol 13 (12) ◽  
pp. 2281
Author(s):  
Yi-An Chen ◽  
Chung-Pai Chang ◽  
Wei-Chia Hung ◽  
Jiun-Yee Yen ◽  
Chih-Heng Lu ◽  
...  
Keyword(s):  
Land Subsidence ◽  
High Speed ◽  
Economic Loss ◽  
Alluvial Fan ◽  
Detection Mechanism ◽  
High Speed Rail ◽  
Monitoring Wells ◽  
Multiple Sensor ◽  
Small Baseline ◽  
Observation Wells

Land subsidence is a significant problem around the world that can increase the risk of flooding, damage to infrastructure, and economic loss. Hence, the continual monitoring of subsidence is important for early detection, mechanism understanding, countermeasure implementation, and deformation prediction. In this study, we used multiple-sensor observations from the Continuous Global Positioning System (CGPS), the small baseline subset (SBAS) algorithm, interferometric synthetic-aperture radar (InSAR), precise leveling, multi-layer compaction monitoring wells (MLCWs), and groundwater observation wells (GWs) to show the spatial and temporal details of land subsidence in the Choushui River alluvial fan (CRAF), Taiwan, from 1993 to 2019. The results showed that significant land subsidence has occurred along the coastal areas in the CRAF, and most of the inland subsidence areas have also experienced higher subsidence rates (>30 mm/yr). The analysis of subsidence along the Taiwan High Speed Rail (THSR) revealed a newly formed subsidence center between Tuku and Yuanchang Townships in Yunlin, with high subsidence rates ranging from 30 to 70 mm/yr. We propose a map showing, for the first time, the distribution of deep compactions occurring below 300 m depth in the CRAF.

scholarly journals IoT technology and big data processing for monitoring and analysing land subsidence in Central Taiwan

2020 ◽  
Vol 382 ◽  
pp. 103-109
Author(s):  
Wei-Chia Hung ◽  
Yi-An Chen ◽  
Cheinway Hwang
Keyword(s):  
Land Subsidence ◽  
High Speed ◽  
Large Scale ◽  
Alluvial Fan ◽  
Monitoring Wells ◽  
Multi Temporal ◽  
Multiple Sensor Monitoring ◽  
Large Scale Land ◽  
Central Taiwan ◽  
Subsidence Monitoring

Abstract. Over 1992–2018, groundwater overexploitation had caused large-scale land subsidence in the Choshui River Alluvial Fan (CRAF) in Taiwan. The Taiwan High Speed Railway (THSR) passes through an area of severe subsidence in CRAF, and the subsidence poses a serious threat to its operation. How to effectively monitor land subsidence here has become a major issue in Taiwan. In this paper, we introduce a multiple-sensor monitoring system for land subsidence, including 50 continuous operation reference stations (CORS), multi temporal InSAR (MT-InSAR), a 1000 km levelling network, 34 multi-layer compaction monitoring wells and 116 groundwater monitoring wells. This system can monitor the extent of land subsidence and provide data for studying the mechanism of land subsidence. We use the Internet of Things (IoT) technology to control and manage the sensors and develop a bigdata processing procedure to analyse the monitoring data for the system of sensors. The procedure makes the land subsidence monitoring more efficient and intelligent.

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