滨州市2016—2021年大气污染物与CO2综合排放清单

Integrated emission inventory of air pollutants and CO2 in Binzhou City (2016-2021)

  • 摘要: 为分析滨州市2016—2021年大气污染物与CO2排放特征及空间分布情况,通过调研活动水平数据,采用排放因子法建立了滨州市2016—2021年6种大气污染物与CO2的综合排放清单,并利用ArcGIS软件对2021年排放清单进行了1 km×1 km的空间网格分配。结果表明:2016—2021年滨州市PM2.5、PM10、NOx和NH3排放呈现逐年下降趋势;SO2和CO在2016—2017年有明显的减排,2017年后排放量相对稳定;CO2排放则呈现上升趋势。2021年滨州市SO2、PM2.5、PM10、NOx、CO、NH3和CO2的排放量分别为18 739、20 082、27 054、64 413、335 083、27 920 t和48 248 kt。高排放区域分布在工业园区和人群聚居区。NOx的分布以路网为主导;CO的分布则同时受到路网和人口的影响;SO2在工业园区排放较多;NH3则分布于农田区域;颗粒物与CO2受到人口密度、路网密度和经济的混合影响。污染当量分析显示,滨州市在经历了2016—2017年的技术改造之后,碳污排放比在发展程度相近的省市中更高,滨州市的清洁发展效果显著。

     

    Abstract: To analyze the characteristics and spatial distribution of air pollutants and CO2 emissions in Binzhou City from 2016 to 2021, a comprehensive emission inventory for six air pollutants and CO2 in the city was established using the emission factor method based on survey activity level data. The emission inventory of the year 2021 was allocated into a spatial grid of 1 km×1 km using ArcGIS software. The results showed that the emissions of PM2.5, PM10, NOx, and NH3 decreased from 2016 to 2021. SO2 and CO emissions significantly decreased year by year from 2016 to 2017 and remained relatively stable after 2017. CO2 emissions showed an upward trend. In 2021, the emissions of SO2, PM2.5, PM10, NOx, CO, NH3, and CO2 in Binzhou were 18 739, 20 082, 27 054, 64 413, 335 083, 27 920 t, and 48 248 kt, respectively. High-emission areas were distributed in industrial parks and densely populated areas. NOx emission was dominated by road network. CO emission was influenced by both road network and population. SO2 emission was higher in industrial parks. NH3 emission was distributed in agricultural areas. Particulate matter and CO2 emissions were influenced by population density, road network density, and economic activity. Analysis of pollution equivalent showed that after the technological transformation from 2016 to 2017, the ratio between emission of CO2 and pollutants was higher compared to other provinces and cities with similar levels of development. The city's clean development effect was significant.

     

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