Prediction of size-fractionated airborne particle-bound metals using MLR, BP-ANN and SVM analyses

Chemosphere

Volumn 180, Issue , 2017, Pages 513-522

  Leng, Xiang'zi ^a   Wang, Jinhua ^a   Ji, Haibo ^a   Wang, Qin'geng ^a,b   Li, Huiming ^a   Qian, Xin ^a,b   Li, Fengying ^b   Yang, Meng ^b  

^a NANJING UNIVERSITY   (China)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Airborne particulate matter (PM); Back propagation artificial neural network (BP ANN); Heavy metals; Prediction; Support vector machine (SVM)

Indexed keywords

AIR QUALITY; FORECASTING; HEAVY METALS; LINEAR REGRESSION; MEAN SQUARE ERROR; NEURAL NETWORKS; PARTICLE SIZE ANALYSIS; PARTICLES (PARTICULATE MATTER); SUPPORT VECTOR MACHINES;

AIRBORNE PARTICULATE MATTERS; ANTHROPOGENIC ELEMENTS; BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; CORRELATION COEFFICIENT; HEAVY METAL CONCENTRATION; MULTIPLE LINEAR REGRESSIONS; NATIONAL AMBIENT AIR QUALITY STANDARDS; ROOT MEAN SQUARE ERRORS;

BACKPROPAGATION;

ALUMINUM; BARIUM; CADMIUM; CHROMIUM; CUPRIC ION; HEAVY METAL; IRON; LEAD; MANGANESE; NICKEL; STRONTIUM; TITANIUM; ZINC; AIR POLLUTANT; METAL; PARTICULATE MATTER;

AIR QUALITY; ANTHROPOGENIC SOURCE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC MODELING; ATMOSPHERIC PARTICLE; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); ERROR ANALYSIS; HEAVY METAL; MULTIPLE REGRESSION; NUMERICAL METHOD; PARTICLE SIZE; PREDICTION; SEASONAL VARIATION; STANDARD (REFERENCE); SUPPORT VECTOR MACHINE;

AIR POLLUTION; AIR QUALITY STANDARD; AIRBORNE PARTICLE; AMBIENT AIR; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTUMN; BACK PROPAGATION; INDUSTRIAL AREA; INDUSTRIAL PRODUCTION; METEOROLOGICAL PHENOMENA; PARTICLE SIZE; PARTICULATE MATTER; PREDICTION; SPRING; SUMMER; SUPPORT VECTOR MACHINE; WINTER; AIR POLLUTANT; ANALYSIS; CHINA; ENVIRONMENTAL MONITORING; INDUSTRY; MULTIVARIATE ANALYSIS; POLLUTION; PROCEDURES; SEASON; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

CHINA; JIANGSU; NANJING [JIANGSU];

AIR POLLUTANTS; CHINA; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTION; INDUSTRY; LINEAR MODELS; METALS; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); PARTICLE SIZE; PARTICULATE MATTER; SEASONS; SUPPORT VECTOR MACHINE;

EID: 85017645248     PISSN: 00456535     EISSN: 18791298     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2017.04.015     Document Type: Article

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