文献类型：期刊文献

中文题名：新乡市2种常见绿化植物叶片及叶面降尘的硫含量研究

英文题名：Research on Sulfur Content of Two Common Green Tree Blades and Foliar Dust in Xinxiang City

作者：张家洋[1]

第一作者：张家洋

机构：[1]新乡学院生命科学技术学院

第一机构：新乡学院生命科学技术学院

年份：2016

卷号：36

期号：4

起止页码：167-170

中文期刊名：西南林业大学学报：自然科学

收录：CSTPCD;;北大核心:【北大核心2014】；

基金：河南省基础与前沿技术研究(142300410100)项目资助

语种：中文

中文关键词：栾树;女贞;叶片;叶面降尘;硫含量;生物监测

外文关键词：Koelreuteria paniculata; Ligustrum lucidum; blade; foliar dust; sulfur content; biological monitoring

摘要：用多重比较法分析新乡市不同功能区栾树和女贞叶片硫含量与叶面尘中硫含量有无显著性差异,拟合叶片硫含量与大气污染物硫浓度以及叶面尘中硫含量之间一元生物监测的数学模型,利用多元回归分析法建立3者之间的关系。结果表明:与清洁区相比,不同功能区栾树和女贞叶片硫含量、叶面降尘硫含量和大气硫浓度差异显著或极显著;一元生物监测数学模型显示,栾树和女贞叶片硫含量与叶面降尘硫含量均呈显著相关(R^2=0.881 2、0.647 1),栾树和女贞叶片硫含量与大气硫浓度分别呈极显著相关(R^2=0.951 6)和显著相关(R^2=0.753 2);二元生物监测数学模型显示,栾树和女贞叶片的硫含量与叶面尘的污染元素硫含量以及大气污染物硫浓度均呈极显著相关(R^2=0.920 2、0.923 3)。
The significant difference about sulfur content between Koelreuteria paniculata and Ligustrum lucidum blades and foliar dust in Xinxiang different function areas were studied with multiple comparisons. Fitting monadic mathematic model of blade sulfur content and atmospheric pollutants sulfur concentration and foliar dust pollution elements sulfur content, using multivariate regression analysis method to establish the relations among the atmospheric pollutants sulphur concentration and the sulfur content of blades and foliar dust. The results showed that Koelreuteria paniculata and Ligustrum lucidum blades sulfur content, sulfur content of foliar dust and atmospheric sulfur concentration had significant difference or extremely significant difference in different functional areas compared with the clean area. Monadic mathematic model showed that the sulfur content of blades and foliar dust in Koelreuteria paniculata and Ligustrum lucidum had significant correlation （R2=08812, 06471）, the sulfur content and atmospheric sulfur concentration in Koelreuteria paniculata and Ligustrum lucidum showed extremely significant correlation （R2=09516） and significant correlation （R2=07532） respectively. Binary biological monitoring mathematical model showed that the atmospheric pollutants sulfur concentration and the sulfur content of blades and foliar dust were extremely significant correlation （R2=09202, 09233）.