
Ling ZengChengdu University of Technology | CDUT
Ling Zeng
PHD
About
11
Publications
1,965
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
79
Citations
Citations since 2017
Introduction
Skills and Expertise
Publications
Publications (11)
Heavy metal concentrations of Cd, As, Pb, Cu, Cr, and Hg were investigated for 86 soil samples in Jinzhou near the Bohai Sea in China, in order to identify what anthropological activities influenced their distribution levels. Ordinary cokriging (OCK) was utilized to map six heavy-metal distributions by incorporating their main environmental influen...
Multispectral-sensor images are advantageous in terms of discriminating major lithologies due to their high spatial resolution and intermediate spectral resolution, in addition to their low cost and high accessibility in comparison to hyperspectral images. In this study, Landsat-5 Thematic Mapper ™ and the Advanced Spaceborne Thermal Emission and R...
The shape and the size of grains in sediments and soils have a significant influence on their engineering properties. Image analysis of grain shape and size has been increasingly applied in geotechnical engineering to provide a quantitative statistical description for grain morphologies. The statistic robustness and the era of big data in geotechni...
This is Matlab version of crystals extraction and its principles and descriptions can be referenced in Zeng et al. (2018)
Heavy metal contamination of soil poses a threat to food chains and human health, particularly in mining areas. This study aims to advance the accuracy of mapping heavy metals in soil by incorporating auxiliary information and to assess the soil contamination risk to local residents in a mining area. Pearson correlation coefficients of environmenta...
The combined influence of surface soil moisture and roughness on radar backscatters has been limiting SAR’s application in soil moisture retrieval. In the past research, multi-temporal analysis and artificial neural network (ANN) inversion of physically based forward models were regarded as promising methods to decouple that combined influence. How...
A cokriging model using three variables is developed to estimate bare-surface soil moisture content based on multi-temporal synthetic-aperture radar (SAR) data. This model utilizes cross-semivariogram function to take into account spatially varied correlation among multiple variables.
It is nowadays common to collect large‐area backscattered electron images and X‐ray maps of entire standard petrographic thin sections. These images can be calibrated for compositions of some minerals (e.g. plagioclase) with a small number of electron microprobe analyses, and thus provide a wealth of quantitative data for hundreds of crystals. Howe...
Giant plagioclase crystals carried into the Panzhihua gabbroic layered intrusion from a deeper magma chamber can help constrain the timescales of emplacement of the Panzhihua intrusion in the Emeishan large igneous province (LIP). In this study, we present the petrographic textures and chemical compositions of giant plagioclase and fine-grained gab...
Giant plagioclase basalts (GPBs) reflect the storage of flood basalt magma in subvolcanic magma chambers at crustal depths. In this study of the Late Permian Emeishan large igneous province in southwest China, we focus on understanding the plumbing system and ascent of large-volume basaltic magma. We report a quantitative textural analysis and bulk...
The refinement of Lange’s plagioclase-liquid hygrometer/thermometer presented in this paper is based on quadratic log-contrast models for experiments with mixtures. Lange’s plagioclase-liquid equilibrium thermodynamic model involves linear functions of components of magmatic liquid and crystalline plagioclase. Assuming a known temperature, the resp...
Projects
Projects (2)
High-Ti and Low-Ti basalt recognition based on remote sensing technologies and deep learning