Qingkai Meng

Dr. Qingkai Meng


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 March 2023 in Journal of Mountain Science
Verified
Journal Article
Closed access
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JZJianqiang Zhang
Jianqiang Zhang
ZYZONGJI YANG
ZONGJI YANG
QMQingkai Meng
Qingkai Meng
JWJiao Wang
Jiao Wang
KHKaiheng Hu
Kaiheng Hu
JLJia-Li Liu
Jia-Li Liu

12 May 2020 in Remote Sensing
Verified
Journal Article
Open access
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QMQingkai Meng
Qingkai Meng
Pierluigi ConfuortoPierluigi Confuorto
Pierluigi Confuorto
YPYing Peng
Ying Peng
FRFederico Raspini
Federico Raspini
SBSilvia Bianchini
Silvia Bianchini
Nicola CasagliNicola Casagli
Nicola Casagli
Identification and classification of landslides is a preliminary and crucial work for landslide risk assessment and hazard mitigation. The exploitation of surface deformation velocity derived from satellite synthetic aperture radar interferometry (InSAR) is a consolidated and suitable procedure for the recognition of active landslides over wide areas. However, the calculated displacement velocity from InSAR is one-dimensional motion along the satellite line of sight (LOS), representing a major hurdle for landslide type and failure mechanism classification. In this paper, different velocity datasets derived from both ascending and descending Sentinel-1 data are employed to analyze the surface ground movement of the Huangshui region (Northwestern China). With global warming, precipitation in the Huangshui region, geologically belonging to the loess basin in the eastern edge of Qing-Tibet Plateau, has been increasing, often triggering a large number of landslides, posing a potential threat to local citizens and natural and anthropic environments. After processing both SAR data geometries, the surface motion was decomposed to obtain the two-dimensional displacements (vertical and horizontal E–W). Thus, a classification criterion of the loess landslide types and failure mode is proposed, according to the analysis of deformation direction, velocities, texture, and topographic characteristics. With the support of high-resolution images acquired by remote sensing and unmanned aerial vehicle (UAV), 14 translational slides, seven rotational slides, and 10 loess flows were recognized in the study area. The derived results may provide solid support for stakeholders to comprehend the hazard of unstable slopes and to undertake specific precautions for moderate and slow slope movements.

10 August 2019 in Natural Hazards
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Journal Article
Closed access
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QMQingkai Meng
Qingkai Meng
QXQiang Xu
Qiang Xu
BWBaocun Wang
Baocun Wang
WLWeile Li
Weile Li
YPYing Peng
Ying Peng
DZDongdong Zhou
Dongdong Zhou

31 March 2011 in Soft Matter
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Journal Article
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JDJ. E. St. Dennis
J. E. St. Dennis
QMQingkai Meng
Qingkai Meng
RZRubo Zheng
Rubo Zheng
Noshir PesikaNoshir Pesika
Noshir Pesika
GMGary L. McPherson
Gary L. McPherson
Srinivasa RaghavanSrinivasa Raghavan
Srinivasa Raghavan
The gelation of hydrophobically modified chitosan solutions can be accomplished through the incorporation of uniform carbon microspheres. The carbon particles act as nodes in the gel network where hydrophobic alkyl groups, attached to the polysaccharide backbone, interact with multiple carbon microspheres to form a three-dimensional matrix. Rheological characterizations show significant increases in elastic moduli upon incorporation of the carbon microspheres.