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叶片表面粗糙度对颗粒物滞纳能力及洗脱特征的影响     被引量:25

Effects of Surface Roughness on Leaf Particulate Matter Capturing Capability and Rain Wash-off Characteristics

文献类型:期刊文献

中文题名:叶片表面粗糙度对颗粒物滞纳能力及洗脱特征的影响

英文题名:Effects of Surface Roughness on Leaf Particulate Matter Capturing Capability and Rain Wash-off Characteristics

作者:房瑶瑶[1] 王兵[1] 牛香[1]

第一作者:房瑶瑶

机构:[1]中国林业科学研究院森林生态环境与保护研究所,国家林业局森林生态环境重点实验室,北京100091

年份:2015

卷号:29

期号:4

起止页码:110-115

中文期刊名:水土保持学报

外文期刊名:Journal of Soil and Water Conservation

收录:CSTPCD;;北大核心:【北大核心2014】;CSCD:【CSCD2015_2016】;

基金:林业公益性行业科研专项(20130430101);林业公益性行业科研专项(2012040101)

语种:中文

中文关键词:PM10;PM2.5;粗糙度;洗脱特性;气溶胶再发生器

外文关键词:PM10; PM2.5; roughness; wash-off event; aeolian aerosol recurrence analyzer

分类号:S718.5

摘要:为了研究叶片粗糙度对颗粒物滞纳能力以及洗脱特征的影响,采取人工降尘和人工降雨的方法,对11个北方常见的绿化树种进行控制试验,并采用气溶胶再发生器AARA(QRJZFSQ-Ⅱ)和AFM(原子力显微镜)分别获取叶片表面颗粒物滞纳量和粗糙度。结果表明,(1)阔叶树种和针叶树种的叶片表面粗糙度平均分别为104.91nm和41.77nm,阔叶树种的叶片表面粗糙度显著高于针叶树种(P<0.05);(2)粗糙度反映叶片表面的物理特性,相关性分析表明,单位叶面积PM10的饱和滞纳量与叶片的粗糙度呈显著负相关(r=-0.606,P<0.05),PM2.5的饱和滞纳量与粗糙度没有显著相关关系(P>0.05),但同一科属树种叶片表面粗糙度越大其单位面积饱和滞纳量越大;(3)当降雨量超过叶片最大劫持量时,各树种PM10和PM2.5的洗脱率平均达到82.10%和85.44%,树种间没有显著差异(P=0.91),且均与叶片表面粗糙度无显著相关关系(P>0.05),即此时的降雨能够有效清除叶片表面颗粒物,颗粒物饱和滞纳量越大的树种,有效清除颗粒物的能力越强。
In order to study effects of leaf surface roughness on particulate matter(PM)capturing capability and rain wash-off characteristics,the leaf surface roughness and PM capturing amount of 11 common urban greening tree species in northern China were measured by atomic force microscopy(AFM)and aeolian aerosol recurrence analyzer(AARA,QRJZFSQ- Ⅱ),respectively,under simulated rainfall and dust fall conditions.The results showed that(1)the average leaf surface roughness of broad-leaf tree species was 104.91 nm,which was significantly higher than that of coniferous tree species(41.77nm)(P〈0.05).(2)Leaf surface roughness,which is considered as an important indicator of leaf surface physical characteristics,showed significant negative correlations with the saturated amount of PM10 captured by per unit foliage area(r=-0.606,P〉0.05),while had no correlation with the saturated amount of PM2.5(P〈0.05).For the same tree species,saturated capturing amount of PM2.5increased with the increasing leaf surface roughness.(3)When the amount of simulated rainfall was higher than maximum water holding capacity of leaf,the average wash-off rate of PM10 and PM2.5of different tree species were 82.10% and 85.44%,respectively,and no significant difference was observed among tree species(P =0.91).Leaf surface roughness did not correlate with wash-off rate of PM10 and PM2.5(P〈0.05).Therefore,when the amount of simulated rainfall was higher than maximum water holding capacity of leaf,the particulate matter on leaf surface could be effectively washed off by simulated rainfall,and the wash-off rate increased with the increasing PM saturated capturing amount of tree species.

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