Remote Sensing Characterization of Mountain Excavation and City Construction in Loess Plateau

Hu, Xie; Xue, Liang; Yang, Yu; Guo, Songfeng; Cui, Yifei; Li, Yao; Qi, Shengwen

doi:10.1029/2021gl095230

Cited by 21 publications

(5 citation statements)

References 42 publications

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“…Regarding the research on dynamic environmental monitoring methods, remote sensing technology is often used in environmental monitoring, geological research, etc. Through remote sensing image technology, Hu et al conducted periodic geological monitoring [6]. Phiri et al applied satellite remote sensing data to monitor changes in land use and coverage based on summarizing remote sensing dynamic monitoring techniques [7].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Wireless Intelligent Sensor Network in Dynamic Environmental Monitoring of Archaeological Excavation Site

2023

Journal of Sensors

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This paper intends to apply the Intelligent Wireless Sensor Network (IWSN) to the archaeological excavation site and make the dynamic site of archaeological excavation can be monitored intelligently in real-time. This paper firstly discusses the structure and function of Wireless Sensor Network (WSN). Secondly, according to the problem of limited dynamic monitoring of WSN, an IWSN is established. The dynamic environmental monitoring of archaeological excavation sites is achieved by using Geographic Information System (GIS) and remote sensing technology combined with IWSN. Finally, this paper analyses the environmental monitoring results of the archaeological excavation site, the dynamic environmental monitoring location of the archaeological excavation site of the IWSN, and the simulation results of the Intelligent Wireless Sensor Network-Geographic Information System (IWSN-GIS) in the dynamic environmental monitoring of the archaeological excavation site. The results show that the Inverse Distance to a Power (IDP) algorithm in temperature and humidity monitoring data on the overall downward trend, the algorithm performance is relatively stable, and the algorithm performance is better than the other two algorithms. The monitoring performance of IWSN-GIS system is better than that of IWSN system. It shows that with the increase in the communication distance of sensor nodes, the relative error of different monitoring systems for the dynamic monitoring position of the archaeological excavation site is decreasing. IWSN-GIS can monitor the environment before, during, and after the archaeological site. This paper realizes the intelligent, scientific, and technological archaeology of archaeological excavation through IWSN, GIS, and remote sensing image technology, and provides technical support for digital archaeology in archaeological research.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Wireless Intelligent Sensor Network in Dynamic Environmental Monitoring of Archaeological Excavation Site

2023

Journal of Sensors

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“…The exponential function model [11][12][13] assumes that the settlement rate decreases along the exponential curve with time. The model is expressed as follows:…”

Section: Exponential Function Modelmentioning

confidence: 99%

Settlement Prediction of Reclaimed Coastal Airports with InSAR Observation: A Case Study of the Xiamen Xiang’an International Airport, China

Xiong

Deng²,

Feng

et al. 2022

Remote Sensing

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Many coastal cities reclaim land from the sea to meet the rapidly growing demand for land caused by population growth and economic development. Settlement in reclaimed land may delay construction and even damage infrastructures, so accurately predicting the settlement over reclaimed areas is important. However, the limited settlement observation and ambiguous final settlement estimation affect accurate settlement prediction in traditional methods. This study proposes a new strategy to solve these problems by using the Multitemporal Interferometric Synthetic Aperture Radar (MT-InSAR) method and takes the Xiamen Xiang’an International Airport, built on reclaimed land, as an example. The MT-InSAR is adopted to process the Sentinel-1 images to obtain the settlement history of the study area. The results show that settlement mainly occurs in the reclaimed areas, with the maximum average settlement rate exceeding 40 mm/y. We use the statistical properties of curve fitting to choose the best curve model from several candidate curve models to predict the settlement time series. The Asaoka method is used to identify the critical state between settlement and stability. We predict the consolidation time of the whole study area and reveal that the deformation rate is positively correlated with the consolidation time. The maximum remaining settlement time is over ten years since 24 December 2019. Therefore, manual compaction operations can be carried out to speed up settlement in the areas that need a long time to consolidate. The proposed method can be used to predict the settlement of similar reclaimed areas, and the predicted results can provide a reference for engineering construction.

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“…Because the hydraulic conductivity of aquitards is low, the response of aquitards lags behind the head change. Thus, we used an exponential decay model of time to characterize the evolution of the delayed subsidence [25,49]: b(t) = M e kt − 1 , where b(t) is the time series of displacement, M decreases the magnitude of the subsidence and k is the decay coefficient, which ranges from −1 to 0. A lower k indicates a greater decreasing trend of subsidence rate.…”

Section: Spatial and Temporal Variability Of Deformation In Xingtaimentioning

confidence: 99%

Characterization of the Land Deformation Induced by Groundwater Withdrawal and Aquifer Parameters Using InSAR Observations in the Xingtai Plain, China

2022

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Long-term overexploitation of groundwater has led to significant land subsidence and ground fissures in the Xingtai plain. These geo-hazards have threatened the safety of buildings and infrastructures. It is extremely important to investigate the coupling relationship between land deformation and hydraulic head change for controlling land subsidence and mitigating ground fissures. In this study, we obtained the spatial and temporal evolution of land deformation in the Xingtai plain by using Envisat/ASAR data during 2009~2010 and Sentinel-1A data during 2015~2021. Combining InSAR results, head observations and geological data, we investigated the response of land deformation to head change and estimate the aquifer parameters. First, joint analysis of displacement time series and head changes infers that land subsidence was mainly caused by the inelastic compaction in aquitards. Compared with the subsidence patterns during 2009~2010, both the rate and spatial extent of land subsidence increased obviously during 2015~2021. Second, seasonal fluctuations in hydraulic head resulted in significant seasonal deformation with an amplitude of 10~30 mm and peak time of January~March, of which the spatial–temporal distribution was consistent with that of the rapid subsidence. Third, obvious differences in the deformation rate and seasonal amplitude were observed across the Longyao ground fissures and other three potential fissures during 2015~2021, suggesting that the activity of ground fissures increased compared with that during 2009~2010. Finally, using InSAR results and head observations, we estimated the elastic and inelastic skeletal storativity, with values ranging from 0.9 × 10−3 to 12.4 × 10−3 and 6.2 × 10−3 to 88.0 × 10−3, respectively. The comparison between elastic and inelastic skeletal storativity suggests that ~84.5% of total subsidence was irreversible and permanent.

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Remote Sensing Characterization of Mountain Excavation and City Construction in Loess Plateau

Cited by 21 publications

References 42 publications

[Retracted] Wireless Intelligent Sensor Network in Dynamic Environmental Monitoring of Archaeological Excavation Site

[Retracted] Wireless Intelligent Sensor Network in Dynamic Environmental Monitoring of Archaeological Excavation Site

Settlement Prediction of Reclaimed Coastal Airports with InSAR Observation: A Case Study of the Xiamen Xiang’an International Airport, China

Characterization of the Land Deformation Induced by Groundwater Withdrawal and Aquifer Parameters Using InSAR Observations in the Xingtai Plain, China

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