Comparison of Volatility, Hygroscopicity and Oxidation State of Submicron Aerosols Over the Pearl River Delta Region in China

Total Page:16

File Type:pdf, Size:1020Kb

Comparison of Volatility, Hygroscopicity and Oxidation State of Submicron Aerosols Over the Pearl River Delta Region in China EGU2020-12687 https://doi.org/10.5194/egusphere-egu2020-12687 EGU General Assembly 2020 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Comparison of volatility, hygroscopicity and oxidation state of submicron aerosols over the Pearl River Delta region in China Shuang Han1, Juan Hong1, Hanbing Xu2, Haobo Tan3, Fei Li3, Lin Wang4, and Nan Ma1 1Institute for Environmental and Climate Research, Jinan University, Guangzhou, Guangdong 511443, China 2Experimental Teaching Center, Sun Yat-Sen University, Guangzhou 510275, China 3Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, CMA, Guangzhou 510640, China 4Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, 220 Handan Road, Shanghai 200433, China Volatility and hygroscopicity properties of atmospheric particles with dry sizes of 60 and 145 nm were measured by using a Volatility-Hygroscopicity Tandem Differential Mobility Analyzer (VH- TDMA) at a suburban site over the Pearl River Delta region in China during the late summer of 2016. Specifically, volatility properties of the aerosols were studied by heating the ambient samples step-wise to seven temperatures ranging from 30 to 300℃. In general, particles started to evaporate at the heating temperature of 100℃. After heating the aerosols above 200℃, the probability density function of the volatility growth factor showed an apparent bimodal distribution with a distinct non-volatile mode and a volatile mode, indicating that the particle population was mainly externally mixed. Even at 300℃, around 20% of the aerosol volume still remained in the particle phase (non-volatile material). Black carbon (BC) mass fraction of aerosol mass correlated well (R2≈ 0.5) with the volume fraction remaining (VFR) at 300℃, but could not explain the non-volatile residual alone. On the basis of the comparison analysis between the VFR at different temperatures and the hygroscopic growth factor (HGF) at 90% RH, we observed the non-volatile residual material were hygroscopic (HGF=1.45). These results indicate that the observed non-volatile residual material at 300℃ did not consist solely of black carbon, but some other compounds such as sea salt, low-volatile ammonium or organic polymer. Powered by TCPDF (www.tcpdf.org).
Recommended publications
  • Appendix 1: Rank of China's 338 Prefecture-Level Cities
    Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan
    [Show full text]
  • Bay to Bay: China's Greater Bay Area Plan and Its Synergies for US And
    June 2021 Bay to Bay China’s Greater Bay Area Plan and Its Synergies for US and San Francisco Bay Area Business Acknowledgments Contents This report was prepared by the Bay Area Council Economic Institute for the Hong Kong Trade Executive Summary ...................................................1 Development Council (HKTDC). Sean Randolph, Senior Director at the Institute, led the analysis with support from Overview ...................................................................5 Niels Erich, a consultant to the Institute who co-authored Historic Significance ................................................... 6 the paper. The Economic Institute is grateful for the valuable information and insights provided by a number Cooperative Goals ..................................................... 7 of subject matter experts who shared their views: Louis CHAPTER 1 Chan (Assistant Principal Economist, Global Research, China’s Trade Portal and Laboratory for Innovation ...9 Hong Kong Trade Development Council); Gary Reischel GBA Core Cities ....................................................... 10 (Founding Managing Partner, Qiming Venture Partners); Peter Fuhrman (CEO, China First Capital); Robbie Tian GBA Key Node Cities............................................... 12 (Director, International Cooperation Group, Shanghai Regional Development Strategy .............................. 13 Institute of Science and Technology Policy); Peijun Duan (Visiting Scholar, Fairbank Center for Chinese Studies Connecting the Dots ..............................................
    [Show full text]
  • 309 Vol. 1 People's Republic of China
    E- 309 VOL. 1 PEOPLE'SREPUBLIC OF CHINA Public Disclosure Authorized HEBEI PROVINCIAL GOVERNMENT HEBEI URBANENVIRONMENT PROJECT MANAGEMENTOFFICE HEBEI URBAN ENVIRONMENTAL PROJECT Public Disclosure Authorized ENVIRONMENTALASSESSMENT SUMMARY Public Disclosure Authorized January2000 Center for Environmental Assessment Chinese Research Academy of Environmental Sciences Beiyuan Anwai BEIJING 100012 PEOPLES' REPUBLIC OF CHINA Phone: 86-10-84915165 Email: [email protected] Public Disclosure Authorized Table of Contents I. Introduction..................................... 3 II. Project Description ..................................... 4 III. Baseline Data .................................... 4 IV. Environmental Impacts.................................... 8 V. Alternatives ................................... 16 VI. Environmental Management and Monitoring Plan ................................... 16 VII. Public Consultation .17 VIII. Conclusions.18 List of Tables Table I ConstructionScale and Investment................................................. 3 Table 2 Characteristicsof MunicipalWater Supply Components.............................................. 4 Table 3 Characteristicsof MunicipalWaste Water TreatmentComponents .............................. 4 Table 4 BaselineData ................................................. 7 Table 5 WaterResources Allocation and Other Water Users................................................. 8 Table 6 Reliabilityof Water Qualityand ProtectionMeasures ................................................
    [Show full text]
  • Appendix A. the Structural PVAR Model the Structural PVAR Model Analyzing the Dynamics Among Structure (S), Pollution (P), Income (E) and Health (H) Is
    Appendix A. The structural PVAR model The structural PVAR model analyzing the dynamics among structure (S), pollution (P), income (E) and health (H) is , , , , ,11 ,12 ,13 ,14 = − + + (A.1) , , , , ⎛ 21 22 23 24⎞ − ⎛ ⎞ ⎛ ⎞ =1 � � ∑ , , , , � − � ⎜ 31 32 33 34⎟ ⎜ ⎟ ⎜⎟ − 41 42 43 44 Define = ( ,⎝ , , ) , using matrix,⎠ Eq. (A.1) can⎝ be⎠ rewritten⎝ ⎠ as = ′ + + (A.2) The 4×4 matrix = ∑= 1reflects− the contemporaneous relation of the �� variables in , and = , are the coefficients of the lagged endogenous variables. Because both contemporaneous � � and long-run relationships are accounted for, we assume that the structural shock is homoskedastic, that is ~( , ), = ⎛ ⎞ ⎜ ⎟ ⎝ ⎠ To estimate eq. (A.2), transform Eq. (A.1) into the reduced form = + + , ~( , ) (A.3) where ∑=1 − = , = , = . Since matrix A is of full −rank, the covariance− matrix− Ω is no longer diagonal. In fact, we have = ( ) (A.4) To recover the structural− parameters− ′ in and , we must impose additional restrictions a priori. Note that the left-hand side of Eq. (A.4) contains 10 coefficients, because is symmetric. But on the right-hand side of (A.2), the number of unknowns in and are 16 and 4, respectively. Therefore, to pin down and , we need 16 + 4 − 10 = 10 more restrictions. Applying Cholesky decomposition, we impose a lower triangular structure on 0 0 0 0 0 = 11 0 21 22 � 31 32 � 33 To finally identify and , we41 should42 either set = = = = 1, 43 44 or = = = = 1 . Based on these restrictions, the PVAR model is 11 22 33 44 transformed into a recursive system. To see the impacts of shocks, we transform Eq. (A.1) to = + (A.5) 1 = � − ∑ � where L is the lag operator.
    [Show full text]
  • 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-To-The-Chinese Population"
    THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Average Average Transit Distance to the Lead-Time to the Number of Chinese Population Chinese Population Warehouses (Miles) (Days) Best Warehouse Locations ONE 504 3.38 XINYANG TWO 377 2.55 LIANYUAN FEICHENG THREE 309 2.15 PINGXIANG JINAN ZIYANG PINGXIANG JINING ZIYANG FOUR 265 1.87 CHANGCHUN SHAOGUAN HANDAN ZIYANG FIVE 228 1.65 CHANGCHUN NANJING SHAOGUAN HANDAN NEIJIANG SIX 207 1.53 CHANGCHUN NANJING URUMQI GUANGZHOU HANDAN NEIJIANG SEVEN 184 1.42 CHANGCHUN JINGJIANG URUMQI HONGHU GUANGZHOU LIAOCHENG YIBIN EIGHT 168 1.31 CHANGCHUN YIXING URUMQI HONGHU BAOJI BEILIU LIAOCHENG YIBIN NINE 154 1.24 CHANGCHUN LIYANG URUMQI YUEYANG BAOJI ZHANGZHOU BEILIU KAIFENG YIBIN CHANGCHUN YIXING URUMQI TEN 141 1.20 YUEYANG BAOJI ZHANGZHOU TIANJIN The 10 Best Chinese Warehouse Networks have been developed based on the lowest possible transit lead-times to "customers" represented by the Chinese population. For example, Xinyang provides the lowest possible lead-time for one warehouse. Any other place will increase transit lead-time to the Chinese population. Similarly putting any three warehouses in any locations other than Pingxiang, Jinan or Ziyang will cause the transit lead-time to be higher than 2.15 days. © Chicago Consulting 8 South Michigan Avenue, Chicago, IL 60603 Chicago Consulting (312) 346-5080, www.chicago-consulting.com THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best One City
    [Show full text]
  • The Mineral Industry of China in 1997
    THE MINERAL INDUSTRY OF CHINA By Pui-Kwan Tse The economic crisis in Asia seemed like a storm passing over the however, not imminent yet. Unlike banks in the Republic of Korea entire region, but China’s economy appeared relatively unaffected and Thailand, Chinese banks have a much smaller exposure to because the exchange rate was firm and there was no sign of foreign debt. Therefore, banks in China will not be as easily hit by instability. The main reason for the firm exchange rate was that the an external payment imbalance. Chinese banks funded their assets renminbi was not yet convertible under capital accounts. Therefore, mainly through large domestic savings, which average more than it was difficult, if not impossible, for funds to flow in and out of the 40% of the country’s GDP (Financial Times, 1997b; Financial country’s stock markets. Compared with other countries in Asia and Times, 1998a). In June 1997, the Government forbade banks to the Pacific region, China’s economy performed well with inflation finance the purchase stock in the stock markets by state enterprises. continuing to drop and foreign exchange reserves increasing sharply. The Government planned to overhaul its PBC, to increase its Preliminary statistics indicated that the gross domestic product regulatory powers and to allow it to shut down hundreds of poorly (GDP) grew by 8.8% and the retail price index rose by 2.8% in capitalized non-bank financial institutions that are threatening the 1997, compared with those of 1996 (China Daily, 1998c; China banking system (Asian Wall Street Journal, 1998a).
    [Show full text]
  • Inter-Metropolitan Land-Price Characteristics and Patterns in the Beijing-Tianjin-Hebei Urban Agglomeration in China
    sustainability Article Inter-Metropolitan Land-Price Characteristics and Patterns in the Beijing-Tianjin-Hebei Urban Agglomeration in China Can Li 1,2 , Yu Meng 1, Yingkui Li 3 , Jingfeng Ge 1,2,* and Chaoran Zhao 1 1 College of Resource and Environmental Science, Hebei Normal University, Shijiazhuang 050024, China 2 Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China 3 Department of Geography, The University of Tennessee, Knoxville, TN 37996, USA * Correspondence: [email protected]; Tel.: +86-0311-8078-7636 Received: 8 July 2019; Accepted: 25 August 2019; Published: 29 August 2019 Abstract: The continuous expansion of urban areas in China has increased cohesion and synergy among cities. As a result, the land price in an urban area is not only affected by the city’s own factors, but also by its interaction with nearby cities. Understanding the characteristics, types, and patterns of urban interaction is of critical importance in regulating the land market and promoting coordinated regional development. In this study, we integrated a gravity model with an improved Voronoi diagram model to investigate the gravitational characteristics, types of action, gravitational patterns, and problems of land market development in the Beijing-Tianjin-Hebei urban agglomeration region based on social, economic, transportation, and comprehensive land-price data from 2017. The results showed that the gravitational value of land prices for Beijing, Tianjin, Langfang, and Tangshan cities (11.24–63.35) is significantly higher than that for other cities (0–6.09). The gravitational structures are closely connected for cities around Beijing and Tianjin, but loosely connected for peripheral cities.
    [Show full text]
  • Is China Winning Its War on Pollution?
    AIR QUALITY LIFE INDEX™ UPDATE · MARCH 2018 Is China Winning its War on Pollution? By Michael Greenstone and Patrick Schwarz SUMMARY Four years after Chinese Premier Li Keqiang declared a “war against pollution,” has the government delivered on its promises to improve air quality? Using daily data from more than 200 monitors across the country from 2013 to 2017, we find that China’s most populated areas have experienced remarkable improvements in air quality, ranging from 21 to 42 percent, with most meeting or exceeding the goals outlined in their National Air Quality Action Plan. If these reductions in pollution are sustained, the average Chinese citizen would see their life expectancy increase by 2.4 years relative to 2013. Although China faces a long road ahead to reach national and international air quality standards, these results suggest the country is winning its war on pollution. INTRODUCTION A New Age of Environmental Protection? At the beginning of 2014, amid one of the worst stretches of air pollution in modern Chinese history, Premier Li Keqiang declared a “war against pollution” at the opening of China’s annual meeting of the National People’s Congress. The timing of the declaration—at the kickoff of a nationally televised conference typically reserved for discussing key economic targets—marked an important shift in the country’s long-standing policy of prioritizing economic growth over con- cerns about environmental protection. It also marked an important change in the government’s official rhetoric about the country’s air quality. In the past, state media had deflected concerns about air quality by claiming poor visibility was due to “fog” and that emissions had no effect on levels of smog.
    [Show full text]
  • Handan, China
    2020-01 Tracer Studies Handan, China Wastewater Treatment and Recycling Management Project Key City Information Main urban area: 457 km2 Urban population: 4.0 million (2019) Handan is located in the southern part of Hebei province. With a history of more than 2,500 years, the city is considered one of China’s historical and cultural cities known to be the home of Tai chi. September 2020 Tracer Study Team: R. Baoy and Y. Zhang Background Implementation Progress Handan City is located in the recycling in its 2008-2020 In January 2010, the City Working closely with key officials Development Master Plan existing capacity of the existing south of Hebei Province and Handan City Development Government of Handan requested of the City Government and the and the recommendations East WWTP Water Recycling bounded by the provinces Master Plan. In 2008, the city for CDIA technical assistance Handan Municipal Drainage from the PPS, the Handan Plant (WRP) from 30 million of Shanxi, Shandong and has initiated an environmental (TA) in the preparation of the Company (HMDC), the PPS City Government through the liters per day (MLD) to 60 MLD; Henan. The city is comprised infrastructure program aimed Handan Wastewater Treatment team prepared a pre-feasibility HMDC, implemented the sub- and (ii) build a pipeline that will of four districts and 15 counties at 100 percent treatment and Recycling Management study and investment plan for projects leveraging on available convey recycled water to the occupying a total land area of and recycling of wastewater Project aimed at expansion of the following sub-projects: (i) government funds and suitable Handan East Power Plant.
    [Show full text]
  • China COI Compilation-March 2014
    China COI Compilation March 2014 ACCORD is co-funded by the European Refugee Fund, UNHCR and the Ministry of the Interior, Austria. Commissioned by the United Nations High Commissioner for Refugees, Division of International Protection. UNHCR is not responsible for, nor does it endorse, its content. Any views expressed are solely those of the author. ACCORD - Austrian Centre for Country of Origin & Asylum Research and Documentation China COI Compilation March 2014 This COI compilation does not cover the Special Administrative Regions of Hong Kong and Macau, nor does it cover Taiwan. The decision to exclude Hong Kong, Macau and Taiwan was made on the basis of practical considerations; no inferences should be drawn from this decision regarding the status of Hong Kong, Macau or Taiwan. This report serves the specific purpose of collating legally relevant information on conditions in countries of origin pertinent to the assessment of claims for asylum. It is not intended to be a general report on human rights conditions. The report is prepared on the basis of publicly available information, studies and commentaries within a specified time frame. All sources are cited and fully referenced. This report is not, and does not purport to be, either exhaustive with regard to conditions in the country surveyed, or conclusive as to the merits of any particular claim to refugee status or asylum. Every effort has been made to compile information from reliable sources; users should refer to the full text of documents cited and assess the credibility, relevance and timeliness of source material with reference to the specific research concerns arising from individual applications.
    [Show full text]
  • Waterlogging Risk Assessment of the Beijing-Tianjin- Hebei Urban Agglomeration in the Past 60 Years
    Waterlogging Risk Assessment of the Beijing- Tianjin-Hebei Urban Agglomeration in the Past 60 Years Yujie Wang Nanjing University of Information Science and Technology JIANQING ZHAI ( [email protected] ) National Climate Center, CMA https://orcid.org/0000-0001-7793-3966 Lianchun Song National Climate Center, CMA Research Article Keywords: Hazard, Exposure, Vulnerability, Waterlogging risk, Beijing-Tianjin-Hebei Posted Date: February 10th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-162526/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Waterlogging Risk Assessment of the Beijing-Tianjin- 2 Hebei Urban Agglomeration in the Past 60 Years 3 4 Yujie Wang1,2, Jianqing Zhai 3, Lianchun Song3 5 1 Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research 6 Laboratory on Climate and Environment Change/Collaborative Innovation Center on Forecast 7 and Evaluation of Meteorological Disasters, Nanjing University of Information Science and 8 Technology, Nanjing 210044, China 9 2 School of Atmospheric Sciences, Nanjing University of Information Science and Technology, 10 Nanjing 210044, China 11 3 National Climate Center, CMA, Beijing 100081, China 12 13 Corresponding author: Jianqing Zhai E-mail: [email protected] 1 14 ABSTRACT 15 In the context of global climate change and rapid urbanization, the risk of urban 16 waterlogging is one of the main climate risks faced by the Beijing-Tianjin-Hebei (BTH) 17 urban agglomeration. In this study, we obtain the urban waterlogging risk index of the 18 BTH urban agglomeration and assess waterlogging risks in the built-up area of the BTH 19 for two time periods (1961–1990 and 1991–2019).
    [Show full text]
  • Preliminary Analyses of PM2.5 ACSM Measurements in Handan, China
    Preliminary Analyses of PM2.5 ACSM Measurements in Handan, China Hongliang Zhang and collaborators from Handix, Aerodyne Research, Tsinghua University, Academy of Environmental Sciences of Hebei Province and Hebei University of Engineering Presented by Ping Chen on Oct. 22 at the 2016 AMS User’s Meeting in Portland, Oregon, USA 1 Background For many years Aerodyne had been developing a PM2.5 aerodynamic particle sampling lens (Xu et. al., 2016) and a particle capture vaporizer (Hu et al., 2016). By the spring of 2015, the PM2.5 lens and capture vaporizer had already gone through extensive lab tests. In May 2015, a Q-ACSM with a prototype PM2.5 lens and a prototype capture vaporizer was ordered by Handix, with the intention to deploy the system in China and test its vitality in routine monitoring in more polluted environment. In June 2016, the PM2.5 ACSM was delivered to Handix (Nanjing, China). Since then, the PM2.5 ACSM has been deployed in Nanjing (July – October, 2015), Handan (Dec. 2015 – Feb. 2016), and Guangzhou (Oct. 2016 - present). Starting in Nov. 2016, the unit will be deployed in Beijing. This morning, Phil showed some results for the experiment in Nanjing. In the following, I will show some preliminary results from the deployment in Handan city. 2 Why in Handan? Handan city, with a population of about 2 million, is located about 400 km southwest of Beijing. Beijing It is often on the top-10 list of most polluted cities in China. Most pollutants are from coal combustions in the steel and Handan chemical plants, vehicle emissions, and civilian heating, etc.
    [Show full text]