環境資源報告成果查詢系統

106年度花蓮縣境內空氣污染源細懸浮微粒排放量分析及管制計畫

中文摘要 (一)清查本縣旅館業、醫院、學校等使用之中小型鍋爐 目前環保署考評項目均已完成,包括清查環保署提供指定名單、社福機構、學校管制對象清查、補助推廣說明會辦理及輔導汰換低污染燃料鍋爐,該工作項目已取得滿分。清查結果,環保署80家指定名單中9家名單重複,停工6家,新增2家非環保署名單,共計114座鍋爐(柴油77座,重油25座,太陽能或電能12座);學校、醫院、社福機構總計176家, 46家裝設鍋爐,共計86座(柴油61座,重油3座,太陽能或電能21座,瓦斯1座);擴大補助之旅宿、軍警、矯正機關社會福利機構11家,共計22座鍋爐(重油2座,柴油18座,電能2座)。 鍋爐汰換結果,總計14座,均汰換為熱泵。完成汰換並向環保署申請補助款8座(4座重油及4座柴油),提出申請汰換中6座(柴油)。 (二)檢測固定污染源PM2.5及建立指紋資料 本計畫已完成和平和平火力發電廠(P002)、台灣水泥和平廠(P206)及中華紙漿花蓮廠(P003)三根次檢測分析作業。檢測結果,檢測結果,FPM測值分別為10.8、4.2及12.2 mg/Nm3,CPM測值分別為10.2、8.9及384.4mg/Nm3,其中以中華紙漿花蓮廠所測出之CPM測值高於FPM 32倍,成份分析CPM中含有大量Cl離子,CPM陰陽離子分析顯示含較高之Cl離子,推測可能與使用氯酸鹽類製程(M03)產出之芒硝溶液有關,另相關文獻亦指出目前所公告CPM採樣方法恐有高估之情形。 排放係數計算,台灣水泥和平廠為130公克/公噸-煤,和平火力發電廠41公克/公噸-煤,中華紙漿花蓮廠51公克/公噸-黑液。排放係數較歷年結果為高,參考其他縣市相同產業測值,台泥和平廠測值落於宜蘭各水泥業測值範圍中,和平火力發電廠測值則高於台中火力電廠及往年測值,中華紙漿花蓮廠則因相同製程檢測資料較少,且僅有105年測值比較,建議後續持續監測,提高檢測值之可靠度。 指紋資料庫部分,台灣水泥和平廠過濾性PM2.5主要成分分別為TC、Ca2+、SO42-、Cl-、NO3-;和平火力發電廠過濾性PM2.5之主要成分分別為TC、SO42-、Mg2+、F-、Cl-;中華紙漿花蓮廠過濾性PM2.5之主要成分分別為SO42-、TC、Na+、K+、NH4+。 (三)分析環保署設本縣空氣品質監測站(花蓮測站)之污染物來源 採用ISCST3模擬花蓮縣測站周邊10公里範圍內污染源模擬結果,各污染源貢獻以PM2.524小時98%高值作為指標比較,其中固定源占7.99 %、移動源占11.78 %、逸散源占19.92 %,其他近6成貢獻為境外傳輸、十公里範圍外污染源、衍生性二次污染或排放量尚未掌握之污染來源(如海鹽飛沫)。本土原生污染物貢獻,TSP貢獻最大為車行揚塵,其次為餐飲業、列管工廠、營建工地與車輛排放。PM10與測站105年年平均監測結果比較,仍以車行揚塵貢獻最高,約為11 %,餐飲業其次,占6.93 %,公路車輛排放為3.66 %,列管工廠營建工地約貢獻近3 %。PM2.524小時98%高值貢獻占比方面,模擬結果以餐飲業貢獻14.6%最高,其次為公路車輛(6.15%)與車行揚塵(5.35%),合計貢獻約11.5%,固定污染源整體貢獻6.1%。SO2以列管工廠貢獻16.6 %最高,其次為逸散源其他影響占5 %,包括住宅、商業等燃燒行為。NO2以公路車輛貢獻約52 %最高,其次為列管工廠及逸散源其他,分別貢獻5 %左右。NMHC貢獻最大為公路車輛,其次為餐飲業影響,再其次為列管工廠。 (四)分析懸浮微粒污染源排放貢獻量對PM2.5形成之影響 利用網格模式CMAQ模擬案例月之濃度結果分析,非事件日之PM2.5日平均濃度最高為28.2 g/m3,其中本地原生性排放貢獻濃度約在22 g/m3以下,衍生性排放貢獻落在0.2~3.0 g/m3,雖本地排放之貢獻占比落在70 %以上,但本地污染所造成的測站濃度測值,仍可符合目前24小時細懸浮微粒之空氣品質標準; 在境外傳輸嚴重影響之日期,如12月10日與12月27日,模擬PM2.5濃度分別為57.3 微克/m3與60.9 g/m3,其中由長程傳輸可貢獻PM2.5質量濃度達在45 g/m3以上,占濃度貢獻80 %,其他縣市對花蓮縣之影響相當低,約為0.5~2 g/m3(1~2 %),花蓮本地排放量貢獻值,原生性與衍生性分別為1 g/m3以下與10 g/m3左右,合計占18~19 %。 針對TEDS 9.0之PM2.5排放量推估結果進行檢討,包括:1.各污染源粒狀物比例檢視,其中礦場比例明顯高估,故採花蓮縣專案計畫調查成果修正,修正後總排放量為1,554公噸/年,相較於TEDS 9.0公告資料約減少719公噸/年。2.礦場風蝕面積TEDS採礦場總面積,經發文礦物局取得花蓮縣礦場總面積為13,107.6公頃,而礦業用地面積為1,104.9公頃,僅為總面積之8%。3.花蓮縣境內柴油車排放係數差異分析,發現花蓮縣境內之柴油車種所使用基礎排放率較實際小,導致各污染物排放量低估。4.藉由公路總局所發布之VD資料進行省道車流量監測分析,小型車車流量監測結果,以台9線從宜蘭方向往南車流量最大,進到花蓮市區後分散車流至台9丙、台11與台11丙等,大型車之車流量趨勢,以花蓮市區以外之台9與台11為主要車流量集中之路線,經比較里程數,TEDS9.0推估之活動強度結果尚在合理範圍內。5.船舶排放量推結果TEDS9.0採面源方式推估,設定為近地面排放,然而實際排放情況為透過煙道排放,針對港區內船舶燃燒排放量做模式模擬之修正。 探討花蓮測站背景高濃度事件日成因,102年12月花蓮測站10日與27日兩次高濃度事件日,可觀察出整個東部地區,以及近海區域,甚至在西部地區PM2.5濃度皆偏高,故明顯是受到來自中國境外傳輸之影響。 本計畫提出主要污染源管制策略及減量目標,管制策略減量成效推估各污染物TSP減量1,263公噸,PM10減量670公噸,PM2.5減量295公噸,SOx減量45公噸,NOx減量526公噸,NMHC減量96公噸。 (五)各項會議 完成2場次員工教育訓練,1場次橫向聯繫會議,1場次技術轉移會議。
中文關鍵字 細懸浮微粒、模式模擬、鍋爐清查

基本資訊

專案計畫編號 經費年度 106 計畫經費 475 千元
專案開始日期 2017/05/05 專案結束日期 2017/12/31 專案主持人 林世欽
主辦單位 花蓮縣環境保護局 承辦人 張婷雅 執行單位 日揚環境工程有限公司

成果下載

類型 檔名 檔案大小 說明
期末報告 106年度花蓮縣境內空氣污染源細懸浮微粒排放量分析及管制計畫-全文.pdf 48MB

Annual 106 Analysis of Fine Particles Matters (PM2.5) Emission from Air Pollution Sources in Hualien County and Control Plan

英文摘要 (1) check the county hotel industry, hospitals, schools and other small and medium-sized boilers At present, the EPD has completed all assessment projects, including checking EPD's designated list, social welfare agencies, inventory control of schools, subsidy promotion briefing sessions and counseling for the replacement of low-pollution fuel boilers. This project has achieved full marks. As a result of the inventory, 9 of the 80 designated lists of EPDs were duplicated and six were discontinued. Two new lists of non-EPDs were added, covering a total of 114 boilers (77 for diesel, 25 for heavy oil and 12 for solar or electricity), schools, A total of 176 hospitals and social welfare agencies have installed 46 boilers for a total of 86 vehicles (61 for diesel oil, 3 for heavy oil, 21 for solar or electric power and 1 for gas); expansion of subsidies for lodging, military police and corrective agencies Social Welfare Institutions 11, a total of 22 boilers (two heavy oil, diesel 18, electric energy 2). Boiler replacement results, a total of 14, are replaced by heat pump. Completed the conversion and applied for eight grants (four heavy oil and four diesel oil) to the Environmental Protection Department for application for the replacement of six (diesel) applications. (2) Detecting PM2.5 from fixed pollution source and establishing fingerprint data The project has completed three test and analysis operations of PTPEP (P002), Taiwan Cement Heping Factory (P206) and Zhonghua Pulp Hualien Factory (P003). The test results, test results and FPM measured values ​​were 10.8, 4.2 and 12.2 mg / Nm3 respectively, and the CPM values ​​were 10.2, 8.9 and 384.4 mg / Nm3, respectively, of which CPM measured by Zhonghua Pulp and Hualian Factory was higher than that of FPM 32 times, component analysis CPM contains a large number of Cl ions, CPM anion and cation analysis showed higher Cl ions, presumably with the chlorate process (M03) output of thenardite solution related to the other relevant literature also pointed out that the current Notice that the CPM sampling method may be overestimated.For the emission factor, the cement plant in Taiwan is 130 g / mt for coal, 41 mpg for coal-fired power plants and 51 g / mt for China Hualian Pulp Mill. The emission factor is higher than that of the previous years. With reference to the same industries measured in other counties and cities, the measured value of TGP Peace Factory falls into the range of measured value of each cement industry in Ilan. The measured value of Peaceful Power Plant is higher than that of Taichung Thermal Power Plant and the previous years , Hualian Pulp and Paper Factory, due to the same process less testing data, and only 105 years of measured value comparison, it is recommended follow-up monitoring to improve the reliability of the test value. In the part of fingerprint database, the main components of filterability PM2.5 in Taiwan Cement and Healing Plant are TC, Ca2 +, SO42-, Cl- and NO3- respectively. The main components of PM2.5 in Hepingli Power Plant are TC, SO42-, Mg2 +, F- and Cl-. The main constituents of PM2.5 in Chinese Hualian pulp plant are SO42-, TC, Na +, K + and NH4 +. (3) to analyze the sources of pollutants of the EPD's own air quality monitoring station (Hualien Station) Using ISCST3 to simulate the pollution sources within 10 km around Hualien County station, the contribution of each pollution source was compared with 98.5% of PM2.524 hour as index, of which fixed source accounted for 7.99%, mobile source accounted for 11.78% and evapotranspiration accounted for 19.92 The other 60% contributed to the overseas transmission, pollution sources beyond ten kilometers, derived secondary pollution or sources of pollution (such as sea salt droplets) that have not yet been grasped. The contribution of native primary pollutants, TSP contributes the largest fugitive dust, followed by the catering industry, plant management, construction sites and vehicle emissions. Compared with the 105-year average monitoring results of the stations, the PM10 still contributed the highest dust to the automobile manufacturers, accounting for about 11%, followed by the catering industry, accounting for 6.93% and the emissions from highway vehicles being 3.66%, contributing nearly 3% . PM2.524hours 98% contribution of high value contribution, the simulation results in the restaurant industry contributed 14.6%, followed by highway vehicles (6.15%) and the vehicle dust (5.35%), the total contribution of about 11.5%, the overall contribution of fixed sources of pollution 6.1%. SO2 contributed the highest 16.6% to the plant management, followed by the other 5%, including residential and commercial combustion. NO2 contributed about 52% of the total road vehicles to the highest, followed by those in charge of factories and Yisu sources, contributing about 5% respectively. NMHC contributed the largest number of road vehicles, followed by the catering industry, followed by the tube factory. (4) analysis of the contribution of particulate matter emissions PM2.5 contribution to the formation of PM2.5 According to the month-by-month concentration analysis of grid-mode CMAQ simulation, the average concentration of PM2.5 in non-event days is 28.2 g / m3, of which the contribution concentration of local primary emissions is about 22 g / m3. Derivative emissions The contribution of local emissions falls below 70% while the contribution from local pollution still falls within the range of 0.2 to 3.0 g / m3. However, the measured concentrations at the stations caused by local pollution can still meet the current air quality standards for fine suspended particulates within 24 hours. The concentrations of simulated PM2.5 were 57.3 g / m3 and 60.9 g / m3 on December 10 and December 27, respectively, of which the long-term transmission could contribute to the PM2.5 concentration of up to At 45 g / m3, accounting for 80% of the total concentration, the impact of other counties and cities on Hualien County is relatively low, about 0.5-2 g / m3 (1-2%). The contribution of Hualien local emissions, And derivative respectively 1 g / m3 and below 10 g / m3, accounting for 18 to 19%.The estimation of PM2.5 emissions from TEDS 9.0 is reviewed, including: 1. The ratio of contaminated sources of particulate matter is examined, of which the proportion of mines is significantly overestimated. Therefore, the survey results of the sampling project of Hualien County are revised and the revised total emissions An amount of 1,554 metric tons / year is approximately 719 metric tons less per year than the TEDS 9.0 announcement. 2. Wind erosion area of ​​the mine The total area of ​​the TEDS mining area was 13,107.6 hectares obtained by Fa Wen Mineral Bureau with the mining area of ​​1,104.9 hectares, only 8% of the total area. 3. Analysis of emission factors of diesel vehicles in Hualien County found that the base emission rate of diesel vehicles used in Hualien County is smaller than that of actual ones, resulting in underestimation of emissions of various pollutants. 4. Using the VD data released by the Highway Administration to conduct provincial road traffic flow monitoring and analysis and the monitoring results of the traffic flow of small vehicles with the largest flow from Yilan to Taiwan in line 9 on the 9th line, , Taiwan 11 and Taiwan 11 C, the trend of large car traffic flow to Hualien urban Taiwan and Taiwan 11 9 as the main flow of vehicles focused on the route, the number of miles compared to TEDS9.0 estimated activity intensity is still Within reasonable limits 5. Ship Emissions Push Results TEDS 9.0 mining source estimation was set at near-surface discharge. However, the actual emission was released through flue and was modeled for ship combustion emissions in the port area. To investigate the causes of high concentration event day in Hualien station background. In December 102 Hualian station on December 10 and 27, two high concentration event days were observed. The concentrations of PM2.5 in the entire eastern region, the offshore region, and even the western region were all observed High, it is obviously affected by the transmission from outside China. This project proposes the main pollution source control strategies and reduction targets. The control strategy reduces the effectiveness of pollutants estimated TSP reduction of 1,263 tonnes, PM10 reduction of 670 tonnes, PM2.5 reduction of 295 tonnes, SOx reduction of 45 tonnes, NOx reduction of 526 tonnes, NMHC reduction 96 metric tons. (5) the various meetings Completed two sessions of employee education and training, a series of horizontal contact conference, a session of technology transfer conference.
英文關鍵字 PM2.5、Model Simulation、Boiler inventory