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基于NMF与CMB耦合应用的水体污染源解析方法
引用本文:陈海洋,滕彦国,王金生,陈明. 基于NMF与CMB耦合应用的水体污染源解析方法[J]. 环境科学学报, 2011, 31(2): 316-321
作者姓名:陈海洋  滕彦国  王金生  陈明
作者单位:北京师范大学水科学研究院,北京,100875
基金项目:国家水体污染控制与治理科技重大专项课题(2009ZX07419-003、2008ZX07207-007)和教育部新世纪优秀人才支持计划项目资助
摘    要:通过定量方法筛选出特征污染物,开展污染源解析,这是进行环境质量评估、环境风险评价、污染物削减的重要依据,也是切实有效地控制污染,保障环境安全的重要前提.化学质量平衡模型和非负约束因子分析模型是污染源解析中较为有效的两种方法,各自具有特定的应用优势,但同时也都存在一定的应用局限性.通过非负约束因子模型与化学质量模型的耦合...

关 键 词:非负约束因子分析  化学质量平衡模型  污染源解析  水体污染
收稿时间:2010-06-04
修稿时间:2010-07-14

Apportionment techniques of water pollution sources by coupling the model of chemical mass balance and the procedure of nonnegative matrix factorization
CHEN Haiyang,TENG Yanguo,WANG Jinsheng and CHEN Ming. Apportionment techniques of water pollution sources by coupling the model of chemical mass balance and the procedure of nonnegative matrix factorization[J]. Acta Scientiae Circumstantiae, 2011, 31(2): 316-321
Authors:CHEN Haiyang  TENG Yanguo  WANG Jinsheng  CHEN Ming
Affiliation:College of Water Science, Beijing Normal University, Beijing 100875,College of Water Science, Beijing Normal University, Beijing 100875,College of Water Science, Beijing Normal University, Beijing 100875 and College of Water Science, Beijing Normal University, Beijing 100875
Abstract:It not only was important reference for environmental quality assessment and environmental risk assessment but also was essential premise for water pollution controlling and water quality protection. The models of chemical mass balance compared with the procedure of nonnegative matrix factorization, they had their advantages and limitations in identification of pollution sources. The reasonable and accurate results of source apportionment of pollutants were obtained by using of coupling with the model of chemical mass balance and the procedure of nonnegative matrix factorization, that was, the non-linear fingerprint of pollutants could be extracted with the procedure of nonnegative matrix factorization, and the accuracy contribution ratio of pollutants would be analyzed with the model of chemical mass balance. Some verified tests showed that the factor loads matrix and the factor scores matrix extracted from the coupled technique would be more efficient and credible compared with that extracted only by factor analysis model.
Keywords:nonnegative matrix factorization   chemical mass balance   source apportionment of pollutants   water pollution
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