摘要
依据物料衡算法和排放因子法等传统的基于具体生产过程的大气污染清单估算方法,根据不同土地利用类型区内主导产业活动特点选择构建相应的估算模型,应用地理信息系统(GIS)技术,实现了市县级尺度下的主导土地利用大气污染物排放空间估算,并以连云港为例,开展了研究区2010年度SO_2及PM_(10)排放实证研究.结果表明:1)连云港地区SO_2主要污染来源为重点工业企业用地、城镇用地、公路交通用地;PM_(10)主要污染来源中,耕地因秸秆焚烧导致的贡献最大,占全部总排放的43.68%,成为PM_(10)排放的关键污染来源;2)从测算空间分布结果来看,连云港中东部城区以及下辖各县城、乡镇地区是SO_2及PM_(10)的主要排放区域;3)由于本方法中污染源基于土地利用类型划分,测算过程采用数据基础的精度相对较低,故测算结果精度也相对较低,但具有相对快速简便以及成本较低的优势.
Based on the traditional methods including material balance and emission factors,corresponding assessment models were constructed according to the characteristics of dominant industries in different types of land use.By the geographic information system（GIS）technology,the spatial assessment of air pollutant emission in the city/county level was conducted.The assessment of SO_2 and PM_（10）emission in Lianyungang,a coastal city in China,validates the capability of this new methodology.The results suggest that 1）the SO_2 emission in 2010 mainly derived from the key industrial plots,city and town residential areas,and land for highway,while a significant proportion（43.68%）of PM_（10） emission was produced by straw-burning in cropland;2）the residential zones in counties and towns of Lianyungang and its middle east urban area contributed the majority of SO_2 and PM_（10） emission according to the spatial assessment results;3）compared to the traditional methods focusing on individual industrial or consumption,the proposed methodology of classifying air pollutants based on types of land use applies data with relatively low accurcy,so the precision of the assessment is relatively low,but it isundoubtedly faster,more convenient and less expensive.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2016年第6期1271-1277,共7页
Journal of China University of Mining & Technology
基金
国家自然科学基金项目(41271121
41601087)
江苏省高等学校大学生实践创新训练计划项目(201310320029Z
KYZZ-0388)
江苏高校优势学科建设工程项目(PAPD)
