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Policy on Air Quality in Pearl River Delta, China: a Case Study of Haizhu

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Policy on Air Quality in Pearl River Delta, China: a Case Study of Haizhu 1 Supplementary Materials 2 3 Impact of the ‘13th Five-Year Plan’ policy on air quality in Pearl River Delta, China: A case study of Haizhu 4 district in Guangzhou city using WRF-Chem 5 Juanming Zhana, b, c, Minyi Wanga, b, c, Yonghong Liua, b, c,, Chunming Fengd, Ting Gana, b, c , Li Lia, b, c, Ruiwen Oud, 6 Hui Dinga, b, c, * 7 a School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510275, China 8 b Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510275, China 9 c Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, 10 Guangzhou 510275, China 11 d Guangzhou Haizhu District Environmental Monitoring Station, Guangzhou 510220, China 12 13 *Corresponding authors. School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510275, 14 China. 15 E-mail address: [email protected]. Telephone: +86-20-39332772-622. Fax: +86-20-39332775. (Hui Ding). 16 17 18 Table of contents 19 Figure S1. Research framework. ....................................................................................................................................................... 20 Table S1. Emission sectors, corresponding inventory technical guidelines and special allocation rules. ....................... 21 Table S2. Description of emission control scenarios. ................................................................................................................... 22 Figure S2. WRF-Chem simulation domain. ................................................................................................................................... 23 Table S3. Detailed information for pollution episodes observed in Haizhu monitoring stations, 2015. .......................... 24 Table S4. Statistical data for heavy pollution episode in Haizhu district during January 14–28, 2015. .......................... 25 Table S5. Statistical data for heavy pollution episode in Haizhu district during August 3–8, 2015. ................................ 26 Table S6. Performance statistics for meteorological simulation ( hourly statistical data in October, 2015). .................. 27 Table S7. Statistical comparison of model evaluation in this paper and previous study. ..................................................... 1 28 29 30 31 32 33 34 Figure S1. Research framework. 35 36 37 38 39 2 40 41 42 Table S1. Emission sectors, corresponding inventory technical guidelines and special allocation rules. Emission sectors Technical guidelines Spatial allocation rules [1] Industry Technical Guidelines for the Primary Source According to the sources’ location Emission Inventory of Atmospheric Fine information (latitude and longitude). (Industries) Particles (Trial) [2]; Technical Guidelines for the Emission Inventory of Atmospheric Volatile Organic Compounds (Trial) [2]; Technical Guidelines for the Primary Source Emission Inventory of Inhalable Particulate Matter (Trial) [3]. Residential Technical Guidelines for the Emission As area sources, and the spatial allocation is Inventory of Atmospheric Volatile Organic based on the population density and activity (residential cooking Compounds (Trial) [2]; area information (location and acreage). and fuel) Technical Guidelines for the Primary Source Emission Inventory of Atmospheric Fine Particles (Trial) [2]; Technical Guidelines for the Primary Source Emission Inventory of Inhalable Particulate Matter (Trial) [3]. Transport (on-road Technical Guidelines for the Air Pollutant Based on the road network information (road vehicles source) Emission Inventory for Road Vehicles (Trial) level, length and location). [3]. Others (dust, Technical Guidelines for the Air Pollutant As area sources, and the spatial allocation is non-road mobile Emission Inventory of Non-road Mobile based on the population density and activity source, sewage Source (Trial) [3]; area information (location and acreage). treatment source, Technical Guidelines for the Emission commercial solvent Inventory of Dust Particles Discharge (Trial) use, etc.) [3]; Technical Guidelines for the Emission Inventory of Atmospheric Volatile Organic Compounds (Trial) [2]. 43 3 44 45 46 47 48 49 50 51 52 53 Table S2. Description of emission control scenarios. Scenarios Emission Control Policy Haizhu district Other districts of Guangzhou 2020A Follow the 2015 emission control policy Follow the 2015 emission control policy tendency. tendency. 2020B 13th FYP emission control policy Follow the 2015 emission control policy tendency. (comprehensive control). 2020C 13th FYP emission control policy 13th FYP emission control policy (comprehensive (comprehensive control). control). 2020D 13th FYP emission control policy (vehicle Follow the 2015 emission control policy tendency. sector); Follow the 2015 emission control policy tendency(other sectors). 54 55 56 57 58 4 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 5 80 81 Figure S2. WRF-Chem simulation domain [4]. 82 83 84 85 86 87 88 89 90 6 91 92 93 Table S3. Detailed information for pollution episodes observed in Haizhu monitoring stations, 2015. Station Season Event Frequency (Units) Description (Date, primary pollutant, pollution level) th th Baogang Spring 5 March 8 -9 :PM2.5, light pollution; th March 14 : NO2, light pollition; th th April 15 - 16 : O3, moderate pollution; th th April 25 -27 : PM2.5, O3, light pollution; th th May 24 -25 : NO2, PM2.5, light pollution. th th Summer 4 July 12 -15 : O3, moderate pollution; th th August 4 -6 : O3, heavy pollution; th August 19 : O3, light pollution; th th August 24 -27 : O3, light pollution; th th Autumn 3 September 8 -11 : O3, moderate pollution; th th October 13 -16 : NO2, PM2.5, O3, moderate pollution; th th Novenber 18 -19 : NO2, light pollution. rd th Winter 9 January 3 -6 : PM2.5, NO2, light pollution; th January 18 : PM2.5, light pollution; th st January 20 -21 : PM2.5, moderate pollution; th th January 24 -27 : PM2.5, light pollution; rd February 3 : PM2.5, light pollution; th th February 6 -7 : PM2.5, light pollution; th th February 10 -15 : PM2.5, NO2, moderate pollution; th December 13 : PM2.5, light pollution; th rd December 19 -23 : PM2.5, moderate pollution. th th Chisha Spring 4 March 8 -9 :PM2.5, light pollution; th th April 15 - 16 : O3, moderate pollution; th April 25 : PM2.5, light pollution; th May 24 : NO2, light pollution. th th Summer 4 July 12 -15 : O3, moderate pollution; th th August 4 -6 : O3, heavy pollution; th August 19 : O3, light pollution; th th August 24 -27 : O3, moderate pollution; th th Autumn 3 September 8 -11 : O3, moderate pollution; th th October 13 -17 : NO2, light pollution; th Novenber 4 : NO2, light pollution. 7 rd th Winter 7 January 3 -6 : PM2.5, light pollution; th January 18 : PM2.5, light pollution; th th January 20 -26 : PM2.5, NO2, moderate pollution; rd February 3 : PM2.5, light pollution; th th February 6 -7 : PM2.5, light pollution; th th February 10 -15 : PM2.5, NO2, light pollution; th rd December 19 -23 : PM2.5, NO2, light pollution. th th Shayuan Spring 7 March 8 -9 :PM2.5, moderate pollution; th March 14 : PM2.5, light pollition; th April 13 : PM2.5, light pollition; th th April 15 -16 :O3, moderate pollution; th th April 25 -27 : PM2.5, O3, moderate pollution; th April 29 :O3, light pollution; th May 25 : PM2.5, light pollution. th th Summer 5 July 12 -15 : O3, light pollution; th th August 4 -7 : O3, heavy pollution; th August 19 : O3, light pollution; th August 24 : O3, light pollution; th th August 26 -27 : O3, light pollution. th th Autumn 12 September 8 -11 : O3, moderate pollution; th th September 17 -18 : O3, light pollution; th September 23 : O3, light pollution; th September 25 : O3, light pollution; th September 30 : O3, light pollution. th October 6 : O3, light pollution; th th October 13 -17 : NO2, O3, PM2.5, moderate pollution; th th October 23 -24 : NO2, light pollution; th October 28 : NO2, light pollution; th th November 3 -4 : NO2, light pollution; th November 19 : PM2.5, light pollution; th November 29 : PM2.5, light pollution. nd th Winter 7 January 2 -6 : PM2.5, NO2, moderate pollution; th th January 15 -27 : PM2.5, NO2, heavy pollution; th January 29 : NO2, light pollution; nd rd February 2 -3 : NO2, light pollution; th th February 7 -16 : PM2.5, NO2, moderate pollution; th December 13 : PM2.5, light pollution; th rd December 19 -23 : PM2.5, NO2, moderate pollution. 8 th th Haizhuhu Spring 6 March 8 -9 :PM2.5, light pollution; th March 14 : NO2, light pollition; th April 13 : PM2.5, light pollition; th th April 15 -16 :O3, moderate pollution; th th April 24 -25 : NO2, PM2.5, light pollution; th May 24 : NO2, light pollution nd Summer 3 July 2 : O3, light pollution; th August 24 : O3, light pollution; th th August 26 -27 : O3, light pollution. th th Autumn 10 September 8 -11 : O3, moderate pollution; th th September 17 -19 : O3, moderate pollution; rd September 23 : O3, light pollution; th September 25 : O3, light pollution; th September 30 : O3, light pollution; th th October 14 -15 : O3, moderate pollution; th October 28 : O3, light pollution; th th November 4 -5 : NO2, O3, light pollution; th th November 18 -20 : NO2, light pollution; th th November 28 -29 : NO2, light pollution; rd th Winter 12 January 3 -4 : PM2.5, NO2, light pollution; th January 6 : NO2, light pollution; th January 18 : PM2.5, light pollution; th st January 20 -21 : PM2.5, moderate pollution; th January 24 : NO2, light pollution; th January 26 : PM2.5, light pollution; rd February 3 : PM2.5, light pollution;
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