D-InSAR-based landslide location and monitoring at Wudongde hydropower reservoir in China

Wang, Guijie; Xie, Mowen; Chai, Xiaoqing; Wang, Liwei; Chenxi, Dong

doi:10.1007/s12665-012-2097-x

Cited by 39 publications

(15 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With changes in the global fossil energy supply and global climate, the development of green energy sources such as hydropower and wind energy has become an important alternative for China (Huang & Yan, 2009;Chang, Liu & Zhou, 2010;Wang et al, 2013). The Jinsha River is upstream of the Yangtze River and is rich in hydropower resources.…”

Section: Introductionmentioning

confidence: 99%

Influence of hydropower stations on the water microbiota in the downstream of Jinsha River, China

Chen

Zhou

Cao³

et al. 2020

PeerJ

View full text Add to dashboard Cite

Construction of hydropower stations has been an important approach to meet China’s increasing power demand, but the impact of construction of hydropower stations on river microbiota is not fully understood. To evaluate this, the microbial composition from 18 sampling sites in the downstream of Jinsha River of China, upstream and downstream of two completed and two under-construction hydropower stations, were analyzed using high-throughput 16S rRNA gene sequencing. Three independent samples from each site were analyzed. A total of 18,683 OTUs from 1,350 genera were identified at 97% sequence similarity. Our results showed that the completion of hydropower stations would significantly increase the relative abundances of Acidobacteria, Chlorobi, Chloroflexi, Cyanobacteria, Nitrospirae, and Planctomycetes, especially the relative abundance of Synechococcus dOTUs and thus increase the risk of algal blooms. PCA based on all KEGG pathways and the significantly different KEGG pathways showed the predicted metabolic characteristics of the water microbiota by PICRUSt in the activated hydropower station group were significant difference to the other groups. Results from canonical correspondence analysis showed that water temperature and dissolved oxygen had significant effects on microbiota composition. These results are important for assessing the impact of hydropower stations on river microbiota and their potential environmental risks.

show abstract

Section: Introductionmentioning

confidence: 99%

Influence of hydropower stations on the water microbiota in the downstream of Jinsha River, China

Chen

Zhou

Cao³

et al. 2020

PeerJ

View full text Add to dashboard Cite

show abstract

“…Some studies inquired the subsidence of ground [4]. The range of ground is various such as urban area to rural and landslide, earthquake sites [4], [7][8][9]. Its accuracy is determined by coherence.…”

Section: Of 10mentioning

confidence: 99%

A Study on Optimal D-InSAR Filtering Technique According to Landform Relief

Youm¹,

Hongsic²,

Kwangbae³

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract:The InSAR technique measures the displacement of an indicator using SAR image interference. The technique of interfering two SAR images among InSAR techniques is called Differential InSAR (D-InSAR). In the process of D-InSAR, the filtering technique is used in the Unwrapped Mask, usually using the GoldStein method. However, since the Goldstein method removes the noise on the path, it is difficult to derive the displacement value in the agricultural area where the relative coherence is low. In Korea, more than 50% of the whole country consists of mountainous regions and agricultural regions, so it is difficult to use the Goldstein technique polysynthetically. In this study, we set the test-bed for the urban area and the agricultural area based on Coherence, and introduce Goldstein and Boxcar Filter, one of the Goldstein and LSM techniques. Through this process, we want to draw the conclusion which is displacement values in the agricultural area.

show abstract

“…InSAR is an advanced remote sensing technology developed over the past few decades. InSAR has proved to be an invaluable technique for measuring land deformations over large areas due to its high spatial resolution and sub-centimetre accuracy (Bürgmann et al 2000;Wang et al 2004Wang et al , 2012Akcin et al 2010;Hu et al 2014). Traditional DInSAR (differential InSAR) method focuses on a single pair of InSAR images to detect deformations; however, factors such as temporal/spatial decoherence and atmospheric phase interference often affect the formation of interferograms.…”

Section: Introductionmentioning

confidence: 99%

Monitoring urban land surface deformation (2004–2010) from InSAR, groundwater and levelling data: A case study of Changzhou city, China

Jiang

et al. 2019

J Earth Syst Sci

View full text Add to dashboard Cite

Land deformation caused by the overexploitation of groundwater has become a potential geological hazard in Changzhou, China. To reduce the potential damage from deformation disasters, it is quite necessary to monitor them. In this study, C-band ENVISAT ASAR synthetic aperture radar (SAR) datasets acquired from 2004 to 2010 were processed with the small baseline subset (SBAS) interferometric SAR (InSAR) method to investigate the spatial-temporal distribution of land deformation. Levelling survey data were used to assess the deformation accuracy measured by the InSAR method, and groundwater level data were used to analyse the incentives for deformation. The SBAS InSAR results found several subsidence regions in the Wujin district and the central part of the Zhonglou district. The annual deformation rate calculated from the C-band interferograms ranged from −65 to +35 mm/yr in the line of sight (LOS) direction, and the cumulative subsidence ranged from −0.35 to 0.13 m in the vertical direction. The levelling survey data show that the two measurements are generally consistent. Correlation analysis between the groundwater table and InSAR measurements at six groundwater well stations shows that groundwater recharges can cause land rebound within the Changzhou urban region. However, subsidence was also observed simultaneously with a rising water table, which might have been caused by the status of consolidation of the strata. Our study provides scientific evidence on the management of groundwater extraction and the assessment of land-subsidence hazard.

show abstract

D-InSAR-based landslide location and monitoring at Wudongde hydropower reservoir in China

Cited by 39 publications

References 10 publications

Influence of hydropower stations on the water microbiota in the downstream of Jinsha River, China

Influence of hydropower stations on the water microbiota in the downstream of Jinsha River, China

A Study on Optimal D-InSAR Filtering Technique According to Landform Relief

Monitoring urban land surface deformation (2004–2010) from InSAR, groundwater and levelling data: A case study of Changzhou city, China

Contact Info

Product

Resources

About