Source apportionment of particle-bound polycyclic aromatic hydrocarbons in Lumbini, Nepal by using the positive matrix factorization receptor model

	Source apportionment of particle-bound polycyclic aromatic hydrocarbons in Lumbini, Nepal by using the positive matrix factorization receptor model
	Chen, PF (Chen, Pengfei)1,4; Li, CL (Li, Chaoliu)1; Kang, SC (Kang, Shichang)2,3; Yan, FP (Yan, Fangping)2,4; Zhang, QG (Zhang, Qianggong)1,3; Ji, ZM (Ji, Zhengming)1; Tripathee, L (Tripathee, Lekhendra)2; Rupakheti, D (Rupakheti, Dipesh)1,4; Rupakheti, M (Rupakheti, Maheswar)5; Qu, B (Qu, Bin)6
刊名	ATMOSPHERIC RESEARCH
	2016
卷号	182 期号:0 页码:46-53
通讯作者	Kang, SC
合作状况	国际
学科主题	自然地理学
收录类别	SCI
语种	英语
WOS记录号	WOS:000384868900006
内容类型	期刊论文
源URL	[http://ir.itpcas.ac.cn/handle/131C11/7468]
专题	青藏高原研究所_图书馆
作者单位	1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Donggangxi Rd, Lanzhou 730000, Peoples R China 3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100085, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100039, Peoples R China 5.Inst Adv Sustainabil Studies, D-14467 Potsdam, Germany 6.Lappeenranta Univ Technol, Lab Green Chem, Sammonkatu 12, Mikkeli 50130, Finland
推荐引用方式 GB/T 7714	Chen, PF ,Li, CL ,Kang, SC ,et al. Source apportionment of particle-bound polycyclic aromatic hydrocarbons in Lumbini, Nepal by using the positive matrix factorization receptor model[J]. ATMOSPHERIC RESEARCH,2016,182(0):46-53.
APA	Chen, PF .,Li, CL .,Kang, SC .,Yan, FP .,Zhang, QG .,...&Sillanpaa, M .(2016).Source apportionment of particle-bound polycyclic aromatic hydrocarbons in Lumbini, Nepal by using the positive matrix factorization receptor model.ATMOSPHERIC RESEARCH,182(0),46-53.
MLA	Chen, PF ,et al."Source apportionment of particle-bound polycyclic aromatic hydrocarbons in Lumbini, Nepal by using the positive matrix factorization receptor model".ATMOSPHERIC RESEARCH 182.0(2016):46-53.