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Ruru Deng

Researcher at Sun Yat-sen University

Publications -  10
Citations -  233

Ruru Deng is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Geology & Aerosol. The author has an hindex of 4, co-authored 4 publications receiving 186 citations.

Papers
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An overview of the first decade of Polly NET : an emerging network of automated Raman-polarization lidars for continuous aerosol profiling

TL;DR: PollyNET as mentioned in this paper consists of portable, remote-controlled multiwavelength-polarization-Raman lidars (Polly) for automated and continuous 24/7 observations of clouds and aerosols.
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Continuous vertical aerosol profiling with a multi-wavelength Raman polarization lidar over the Pearl River Delta, China

TL;DR: In this paper, a dataset of particle optical properties of the highly polluted atmosphere over the Pearl River Delta (PRD), Guangzhou, China, is presented, which is derived from the measurements of a multi-wavelength Raman and depolarization lidar PollyXT and a co-located AERONET sun photometer.
Journal ArticleDOI

Aerosol properties over southeastern china from multi-wavelength raman and depolarization lidar measurements

TL;DR: In this paper, a dataset of particle optical properties of highly polluted urban aerosol over the Pearl River Delta, Guangzhou, China is presented, where data were derived from multi-wavelengths Raman and depolarization lidar XT and AERONET sun photometer measurements.
Posted ContentDOI

Polly NET : a global network of automated Raman-polarization lidars for continuous aerosol profiling

TL;DR: In this article, the authors present the results of a survey of the Finnish Meteorological Institute, Kuopio, Finland Finnish Meteorology Institute, Helsinki, Finland Evora University, Institute for Earth Sciences, Évora, Portugal National Institute of Environmental Research, Incheon, Republic of Korea Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
Journal ArticleDOI

Development and application of a new sensitivity analysis model for the remote sensing retrieval of heavy metals in water

TL;DR: In this paper , the authors proposed a new sensitivity analysis model, referred to as the D-δ(ε) model, for the remote sensing retrieval of heavy metals in bodies of water.