摘要
本文对单一燃料使用时农户室内不同污染物浓度变化的相关关系,以及使用不同炉灶类型的农户PM2.5日均平均浓度和CO日均浓度间的相关性进行分析,力求通过污染物之间的相关关系,用一种污染物的浓度预测其他污染物的浓度,简化在农村实地检测室内空气污染水平的复杂性。研究结果表明,燃煤农户室内CO与PM2.5(R=0.841,P<0.01),CO与SO2(R=0.8878,P<0.01)浓度的变化都显著相关,燃柴农户室内CO与PM2.5浓度的变化(R=0.869,P<0.01)也显著相关;由于烟道内CO和SO2的浓度受外界环境影响较小,其相关关系非常显著(R=0.9846,P<0.01);CO和PM2.5水平之间的相关性与炉灶类型和燃料类型有关。
We analyzed the relativity of indoor concentrations changes of different pollutants based on a single(fuel),as well the relativity between daily average concentrations of PM_(2.5) and daily average concentrations of CO. As a result,we can forecast the concentration of other pollutants by one kind of pollutant.What we have did simplified the complexity of field testing in rural areas and reduced the testing costs.Researches shows that there are significant concentration relativities between PM_(2.5) and CO,C...
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2006年第S1期243-247,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
中国与荷兰合作的"促进西部农村可再生能源综合发展项目"支持
北京市教育委员会共建项目建设计划资助(XK100190550)
