检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:郑雅清 刘雷璐 李瑞瑜 ZHENG Yaqing;LIU Leilu;LI Ruiyu(Guangdong Ecological and Environmental Monitoring Center,Guangzhou 510308,China)
出 处:《中国资源综合利用》2025年第1期187-193,共7页China Resources Comprehensive Utilization
基 金:广东省省级科技计划项目“广东省高架源排放的环境影响及控制对策研究”(2019B020208006)。
摘 要:基于监测法和排放因子法编制广东省电力热力生产高架源污染排放清单,对比两种方法的污染物排放量水平,并分析污染物的排放特征、时间及空间分布特征。结果表明,两种方法的大气污染物排放量水平差异较大,SO_(2)、NO_(x)、NH_(3)排放因子法的结果高于监测法,而CO则相反。总体而言,火力发电对SO_(2)、NO_(x)、CO、NH_(3)、颗粒物、可过滤颗粒物(Filterable Particulate Matter,FPM)和可冷凝颗粒物(Condensable Particulate Matter,CPM)等的排放贡献较高,而生物质能发电对有机碳(Organic Carbon,OC)、挥发性有机物(Volatile Organic Compounds,VOCs)排放的贡献较高。2017—2020年的主要大气污染物排放量总体呈下降趋势,与2017年相比,2020年的NO_(x)、CO、PM_(10)、PM_(2.5)、NH_(3)、黑碳(Black Carbon,BC)、FPM、CPM下降幅度为7.00%~28.11%,仅SO_(2)、VOCs和OC有所上升。从空间分布看,广州市、深圳市、佛山市、东莞市、汕头市是各污染物排放高值区,江门市、肇庆市、河源市为各污染物排放低值地市,江门市的各污染物排放均最低,为0.00%~0.72%。排放源清单结果具有一定的不确定性,建议加强本地化研究,提高排放因子的准确性和适用性,进一步优化该地区的大气污染物高架源排放清单。Based on monitoring method and emission factor method,compile a pollution emission inventory of elevated power and thermal production sources in Guangdong province,compare the pollutant emission levels of the two methods,and analyze the emission characteristics,time and spatial distribution characteristics of pollutants.The results showed that there was a significant difference in the levels of atmospheric pollutant emissions between the two methods,with the SO_(2),NO_(x),and NH_(3),emission factor methods yielding higher results than the monitoring method,while the opposite was true for CO.Overall,thermal power generation has an impact on SO_(2),NO_(x),CO,NH_(3),emissions of particulate matter,Filterable Particulate Matter(FPM),and Condensable Particulate Matter(CPM)contribute significantly,while biomass power generation contributes significantly to the emissions of Organic Carbon(OC)and Volatile Organic Compounds(VOCs).The overall emissions of major air pollutants from 2017 to 2020 showed a downward trend.Compared with 2017,the emissions of NO_(x),CO,PM_(10),PM_(2.5),NH_(3),Black Carbon(BC),FPM,and CPM decreased by 7.00%to 28.11%,while only SO_(2),VOCs,and OC increased.From the perspective of spatial distribution,Guangzhou,Shenzhen,Foshan,Dongguan,and Shantou are high-value areas for pollutant emissions,while Jiangmen,Zhaoqing,and Heyuan are cities with low pollutant emissions.Jiangmen has the lowest pollutant emissions,ranging from 0.00%to 0.72%.The results of the emission source inventory have a certain degree of uncertainty.It is recommended to strengthen localization research,improve the accuracy and applicability of emission factors,and further optimize the elevated source emission inventory of atmospheric pollutants in the region.
分 类 号:X773[环境科学与工程—环境工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.127