Q
Qian Lv
Researcher at China University of Mining and Technology
Publications - 9
Citations - 243
Qian Lv is an academic researcher from China University of Mining and Technology. The author has contributed to research in topics: Geology & Engineering. The author has an hindex of 4, co-authored 7 publications receiving 115 citations.
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Multiscale analysis on spatiotemporal dynamics of energy consumption CO2 emissions in China: Utilizing the integrated of DMSP-OLS and NPP-VIIRS nighttime light datasets
TL;DR: This study integrated the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) stable nighttime light data and Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) composite data, and established the integrated nighttime light datasets from 1992 to 2016, and provided policy implications based on the results.
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Effects of urbanization on freight transport carbon emissions in China: Common characteristics and regional disparity
TL;DR: Wang et al. as mentioned in this paper analyzed the driving factors of freight transport carbon emissions and the effects of urbanization on freight transport CO 2 emissions in China, and provided policy implications based on the findings, which are expected to contribute to the carbon emissions reduction in China's transportation industry.
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Consistent modeling of a catastrophic flowslide at the Shenzhen landfill using a hydro-elasto-plastic model with solid–fluid transition
TL;DR: In this article, a catastrophic flowslide that recently occurred at a landfill in Shenzhen, China was described using a unified constitutive model, which was used to perform the hydro-elasto-plastic modeling in the pre-failure stage, the viscous modelling in the post-fault stage, and the second-order work criterion was introduced in between to model the solid-fluid transition.
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Laboratory Testing and Modeling of a High-Displacement Cable Bolt
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Real-time monitoring and FEMLIP simulation of a rainfall-induced rockslide
TL;DR: In this article, the stability of the rock slope under excavation and rainfall conditions was monitored using an efficient real-time monitoring system using finite element method with Lagrangian integration points (FEMLIP).