本文主要研究内容
作者刘镇（2019）在《基于源模式的兰州市冬季细颗粒物源解析及“煤改气”政策实施效果评估研究》一文中研究指出：近年来随着雾霾等污染事件的频发,公众的环保意识逐渐加强,对细颗粒物(PM2.5)环境效应的关注度也在逐渐提高、控制力度逐渐加大。随着治理的深入,准确掌握PM2.5不同来源的贡献对精确化治理具有重要的意义。本文中基于兰州市各企业调查结果,依据排放系数法和物料衡算法建立兰州市化石燃料燃烧源排放清单,并评估了其对二次细颗粒物贡献。将其纳入兰州市2016年高分辨率排放清单中代入WRF-Chem模型进行模拟,对模型中气象和化学参数化方案进行评估,并对PM2.5及其组分进行来源解析研究;在此基础上基于热值法计算了燃气锅炉的等效燃煤量,建立了兰州市―煤改气‖政策实施前的排放清单,通过模型模拟评估了该政策实施对兰州市环境空气质量影响。主要结论如下:1.在兰州市涉化石燃料燃烧企业中电力生产供应业、钢铁冶炼业以及水泥制造业对兰州市二次无机气溶胶具有较大的贡献,折为吨标煤后钢铁冶炼行业的吨标煤燃烧产生气态污染物生成的二次无机气溶胶量最大,其次为水泥制造业。而对于二次有机气溶胶（SOA）生成潜势而言,城区主要为以煤炭为燃料的热力生产供应业以及电力生产供应业的贡献,其它地区为水泥制造业、砖瓦制造业、钢铁冶炼业等高能耗产业的贡献。同时与生物质燃烧源和移动源对比可知,化石燃料燃烧源VOCs排放量较小,但其具有较强的SOA生成能力,其中芳香烃的SOA生成潜势占比最大。2.利用WRF-Chem模型对兰州市2016年1月份污染情形进行模拟研究,在模拟过程中对边界层方案、陆面过程方案以及气相化学方案进行比选,结果显示在利用本地化清单模拟中,选择YSU边界层方案、Noah陆面过程方案和SAPRC99/MOSAIC化学机理能更好地模拟出该时段兰州市PM2.5的时空变化。同时与MEIC清单的模拟结果进行对比,可知高分辨率排放清单更能够准确的描述兰州市污染物排放对环境空气质量的影响。结合气象模拟结果,综合分析了兰州市2016年高分辨率排放清单模型下PM2.5模拟误差的来源。通过置零兰州市本地源清单进一步研究外来源的贡献,结果显示在模拟时段内兰州市主要为本地源贡献,但在特殊的天气形势下外来源影响不容忽视。之后使用―强力法‖解析了各源类对兰州市PM2.5的贡献,其中城区外来源贡献占比为8.22%,本地源贡献占比中工业和集中供暖源（26.58%）最大,其次为居民生活源（24.54%）,后面依次为其它源（18.71%）和移动源（16.55%）以及农牧氨源（5.34%）、天然源（0.05%）;农村外来源贡献占比为12.66%,本地源贡献占比中其它源（26.54%）最大,之后依次为工业和集中供暖源（23.52%）、居民生活源（22.87%）以及移动源（9.66%）、农牧氨源（4.69%）、天然源（0.06%）。并获到了各类源对兰州市PM2.5中各组分的贡献。3.利用兰州市―煤改气‖政策前后的污染物排放清单进行数值模拟,结果显示该政策的实施对环境空气中SO2浓度的削减效果最为明显、其次为PM2.5。进一步结合2012年和2016年兰州市兰苑宾馆站点环境空气污染物浓度数据进行分析,证明了兰州市―煤改气‖政策的实施是从2012年到2016年兰州市环境空气中SO2、PM2.5下降的重要因素之一。
Abstract
jin nian lai sui zhao wu mai deng wu ran shi jian de pin fa ,gong zhong de huan bao yi shi zhu jian jia jiang ,dui xi ke li wu (PM2.5)huan jing xiao ying de guan zhu du ye zai zhu jian di gao 、kong zhi li du zhu jian jia da 。sui zhao zhi li de shen ru ,zhun que zhang wo PM2.5bu tong lai yuan de gong suo dui jing que hua zhi li ju you chong yao de yi yi 。ben wen zhong ji yu lan zhou shi ge qi ye diao cha jie guo ,yi ju pai fang ji shu fa he wu liao heng suan fa jian li lan zhou shi hua dan ran liao ran shao yuan pai fang qing chan ,bing ping gu le ji dui er ci xi ke li wu gong suo 。jiang ji na ru lan zhou shi 2016nian gao fen bian lv pai fang qing chan zhong dai ru WRF-Chemmo xing jin hang mo ni ,dui mo xing zhong qi xiang he hua xue can shu hua fang an jin hang ping gu ,bing dui PM2.5ji ji zu fen jin hang lai yuan jie xi yan jiu ;zai ci ji chu shang ji yu re zhi fa ji suan le ran qi guo lu de deng xiao ran mei liang ,jian li le lan zhou shi ―mei gai qi ‖zheng ce shi shi qian de pai fang qing chan ,tong guo mo xing mo ni ping gu le gai zheng ce shi shi dui lan zhou shi huan jing kong qi zhi liang ying xiang 。zhu yao jie lun ru xia :1.zai lan zhou shi she hua dan ran liao ran shao qi ye zhong dian li sheng chan gong ying ye 、gang tie ye lian ye yi ji shui ni zhi zao ye dui lan zhou shi er ci mo ji qi rong jiao ju you jiao da de gong suo ,she wei dun biao mei hou gang tie ye lian hang ye de dun biao mei ran shao chan sheng qi tai wu ran wu sheng cheng de er ci mo ji qi rong jiao liang zui da ,ji ci wei shui ni zhi zao ye 。er dui yu er ci you ji qi rong jiao （SOA）sheng cheng qian shi er yan ,cheng ou zhu yao wei yi mei tan wei ran liao de re li sheng chan gong ying ye yi ji dian li sheng chan gong ying ye de gong suo ,ji ta de ou wei shui ni zhi zao ye 、zhuan wa zhi zao ye 、gang tie ye lian ye deng gao neng hao chan ye de gong suo 。tong shi yu sheng wu zhi ran shao yuan he yi dong yuan dui bi ke zhi ,hua dan ran liao ran shao yuan VOCspai fang liang jiao xiao ,dan ji ju you jiao jiang de SOAsheng cheng neng li ,ji zhong fang xiang ting de SOAsheng cheng qian shi zhan bi zui da 。2.li yong WRF-Chemmo xing dui lan zhou shi 2016nian 1yue fen wu ran qing xing jin hang mo ni yan jiu ,zai mo ni guo cheng zhong dui bian jie ceng fang an 、liu mian guo cheng fang an yi ji qi xiang hua xue fang an jin hang bi shua ,jie guo xian shi zai li yong ben de hua qing chan mo ni zhong ,shua ze YSUbian jie ceng fang an 、Noahliu mian guo cheng fang an he SAPRC99/MOSAIChua xue ji li neng geng hao de mo ni chu gai shi duan lan zhou shi PM2.5de shi kong bian hua 。tong shi yu MEICqing chan de mo ni jie guo jin hang dui bi ,ke zhi gao fen bian lv pai fang qing chan geng neng gou zhun que de miao shu lan zhou shi wu ran wu pai fang dui huan jing kong qi zhi liang de ying xiang 。jie ge qi xiang mo ni jie guo ,zeng ge fen xi le lan zhou shi 2016nian gao fen bian lv pai fang qing chan mo xing xia PM2.5mo ni wu cha de lai yuan 。tong guo zhi ling lan zhou shi ben de yuan qing chan jin yi bu yan jiu wai lai yuan de gong suo ,jie guo xian shi zai mo ni shi duan nei lan zhou shi zhu yao wei ben de yuan gong suo ,dan zai te shu de tian qi xing shi xia wai lai yuan ying xiang bu rong hu shi 。zhi hou shi yong ―jiang li fa ‖jie xi le ge yuan lei dui lan zhou shi PM2.5de gong suo ,ji zhong cheng ou wai lai yuan gong suo zhan bi wei 8.22%,ben de yuan gong suo zhan bi zhong gong ye he ji zhong gong nuan yuan （26.58%）zui da ,ji ci wei ju min sheng huo yuan （24.54%）,hou mian yi ci wei ji ta yuan （18.71%）he yi dong yuan （16.55%）yi ji nong mu an yuan （5.34%）、tian ran yuan （0.05%）;nong cun wai lai yuan gong suo zhan bi wei 12.66%,ben de yuan gong suo zhan bi zhong ji ta yuan （26.54%）zui da ,zhi hou yi ci wei gong ye he ji zhong gong nuan yuan （23.52%）、ju min sheng huo yuan （22.87%）yi ji yi dong yuan （9.66%）、nong mu an yuan （4.69%）、tian ran yuan （0.06%）。bing huo dao le ge lei yuan dui lan zhou shi PM2.5zhong ge zu fen de gong suo 。3.li yong lan zhou shi ―mei gai qi ‖zheng ce qian hou de wu ran wu pai fang qing chan jin hang shu zhi mo ni ,jie guo xian shi gai zheng ce de shi shi dui huan jing kong qi zhong SO2nong du de xiao jian xiao guo zui wei ming xian 、ji ci wei PM2.5。jin yi bu jie ge 2012nian he 2016nian lan zhou shi lan yuan bin guan zhan dian huan jing kong qi wu ran wu nong du shu ju jin hang fen xi ,zheng ming le lan zhou shi ―mei gai qi ‖zheng ce de shi shi shi cong 2012nian dao 2016nian lan zhou shi huan jing kong qi zhong SO2、PM2.5xia jiang de chong yao yin su zhi yi 。
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论文作者分别是来自兰州大学的刘镇，发表于刊物兰州大学2019-07-29论文，是一篇关于化石燃料论文,污染源排放清单论文,模型论文,来源解析论文,细颗粒物论文,兰州大学2019-07-29论文的文章。本文可供学术参考使用，各位学者可以免费参考阅读下载，文章观点不代表本站观点，资料来自兰州大学2019-07-29论文网站，若本站收录的文献无意侵犯了您的著作版权，请联系我们删除。
标签：化石燃料论文; 污染源排放清单论文; 模型论文; 来源解析论文; 细颗粒物论文; 兰州大学2019-07-29论文;