Showing 1 - 3 results of 3 for search '"Pearl River Delta"', query time: 0.05s Refine Results
  1. 1

    Model Evaluation and Uncertainty Analysis of PM2.5 Components over Pearl River Delta Region Using Monte Carlo Simulations by Qian Wu, Xiao Tang, Lei Kong, Zirui Liu, Duohong Chen, Miaomiao Lu, Huangjian Wu, Jin Shen, Lin Wu, Xiaole Pan, Jie Li, Jiang Zhu, Zifa Wang

    Published 2020-07-01
    “…Employing the Nested Air Quality Prediction Modeling System (NAQPMS) developed by the Institute of Atmospheric Physics, Chinese Academy of Sciences, this study investigated the uncertainties in Monte Carlo simulations of these aerosols in the Pearl River Delta (PRD) region during 2015. 50 ensemble simulations with a 15 km horizontal resolution were derived by perturbing the emission data for sulfate, nitrate, ammonium, OC and BC from an emission inventory, which is one of the largest sources of uncertainty. …”
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  2. 2

    Size-segregated Characteristics and Formation Mechanisms of Water-soluble Inorganic Ions during Different Seasons in Heshan of Guangdong, China by Bo Huang, Ting Gan, Chenglei Pei, Mei Li, Peng Cheng, Duohong Chen, Ridong Cai, Yujun Wang, Lei Li, Zhengxu Huang, Wei Gao, Zhong Fu, Zhen Zhou

    Published 2020-05-01
    “…Abstract To identify the characteristics, sources, and formation mechanisms of aerosol particles during pollution episodes in the Pearl River Delta, 24 sets of size-segregated samples were collected in Heshan during July 2014 and January 2015 using a 10-stage Micro-Orifice Uniform Deposit Impactor (MOUDI), and nine ions, viz., Na+, NH4+, K+, Mg2+, Ca2+, Cl−, NO2−, NO3−, and SO42−, were investigated. …”
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  3. 3

    Epidemiologic characteristics of infectious disease-related public health emergencies in Guangdong province, 2014 – 2023: a surveillance data analysis by Weiyi CHEN, Runing GUO, Yun HUANG, Jianhua HUANG, Meiling YANG, Jiya DAI, Fengxiang SHI, Wenjia LIANG

    Published 2024-12-01
    “…The highest proportion of events (61.80%) were reported in the Pearl River Delta region. Among the events reported in the the Eastern Wing region, 66.09% were caused by vector-borne and zoonotic diseases and the proportion was significantly different from those in other regions. …”
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