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Multivariate Analysis of Airborne Metallic Species in Sebele, Botswana

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Chemistry for a Clean and Healthy Planet (ICPAC 2018)

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Abstract

A total of 63 aerosol samples were collected at the Botswana University of Agriculture and Natural Resources (formerly, Botswana College of Agriculture) during the period of 02 April 2008–07 December 2008 and were analysed for concentrations of Al, Co, Cu, Fe, Pb, Mn, Ni and Zn using flame atomic absorption spectroscopy. Statistical receptor models were applied to investigate potential sources of the studied metals. Data exhibited enhanced enrichments of Zn (EFg = 76), Al (EFg = 14,391), Co (EFg = 19), Cu (EFg = 5), Pb (EFg = 3) and Ni (EFg = 2), which were attributed to contributions from non-crustal sources, whereas Mn and Fe (EFg < 2) were attributed to crustal origin, such as airborne dust. Data were subjected to principal component analysis (PCA) twice. From PCA-1, two principal components (PC) were revealed. PC-1 showed high positive loadings of Pb, Zn, Ni and Al, whereas PC-2 had loadings for Fe and Mn. On the other hand, PCA-2 had three principal components. PC-1 from PCA-2 showed strong loadings for Cu, Fe and Mn. PC-2 had strong loadings of Pb, Al and Zn, whereas loadings for PC-3 were comprised of Ni and Co. The difference between loadings of PCA-1 and PCA-2 suggested possibilities of mixed origins of the studied metals. Finally, air mass back-trajectory analysis showed that during the sampling period, there were only 5 cluster groups that represented significantly different transport pathways of aerosol samples, where only Zn and Ni mean concentrations revealed dependence on geographical origin of aerosol samples. Results of the analysed concentrations of Al, Co, Cu, Fe, Pb, Mn, Ni and Zn in aerosol samples showed that the presence of Fe and Mn in the atmosphere in the ambient air of Sebele is mainly due to contributions from lithogenic sources. Pb, Ni, Co, Al and Zn exist because of anthropogenic sources, whereas presence of Cu arises because of mixed origins. Trajectory analysis further shows that the anthropogenic Zn and Ni could also be present in the air sampled due to air mass transportation from distant sources.

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Acknowledgements

The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the HSPLIT transport and dispersion model used in this publication. The authors also highly appreciate the work done by Mr. R. Tlhong of the University of Botswana for providing assistance with analysis of samples.

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Correspondence to Sello Alfred Likuku .

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Appendix

Appendix

Dates (DDMMYY)

Mean metal concentrations (ng/m3)

Rain

Wind

Deployed

Removed

Al

Co

Cu

Fe

Mn

Ni

Pb

Zn

mm

m/s

02/04/08

05/04/08

2483.00

0.91

2.07

282.67

8.70

2.58

3.90

1614.49

0.00

16.86

05/04/08

08/04/08

3774.59

0.88

2.89

401.12

13.24

2.14

7.01

1517.73

0.00

15.42

08/04/08

11/04/08

3145.57

1.50

1.91

310.43

10.16

3.05

4.03

1715.71

0.00

21.64

23/04/08

26/04/08

4033.46

1.32

3.53

545.93

19.90

3.19

5.95

2012.26

0.00

21.26

27/04/08

30/04/08

5047.02

1.48

3.48

1043.82

21.31

4.60

5.75

2606.00

0.00

17.38

10/05/08

13/05/08

2847.27

1.44

2.27

271.09

11.44

2.46

5.14

3224.44

0.00

19.25

13/05/08

16/05/08

4565.22

1.22

3.09

500.17

14.37

4.57

8.10

2742.62

0.00

18.44

16/05/08

19/05/08

5354.18

0.62

3.92

568.07

19.76

5.96

9.00

3077.38

0.00

29.53

25/05/08

28/05/08

1248.71

ND

0.94

134.24

7.04

0.92

ND

95.11

3.50

37.22

28/05/08

31/05/08

493.82

ND

3.75

426.12

13.98

1.01

0.44

31.68

0.00

18.47

01/06/08

04/06/08

1115.79

ND

2.33

402.27

12.48

1.42

ND

73.81

5.50

28.58

04/06/08

07/06/08

1371.42

ND

2.86

387.90

12.12

0.82

ND

91.35

0.00

14.32

07/06.08

10/06/08

1362.85

ND

2.68

368.77

12.57

0.72

ND

94.94

0.00

18.30

11/06/08

14/06/08

1115.56

ND

4.21

609.77

17.20

1.03

0.63

64.11

0.00

18.60

14/06/08

17/06/08

1339.96

ND

3.08

725.44

20.58

1.34

ND

80.86

0.00

23.35

17/06/08

20/06/08

1111.57

ND

1.66

508.57

13.49

1.09

ND

75.53

0.00

47.24

20/06/08

23/06/08

1298.05

ND

2.00

447.75

15.04

1.07

0.07

93.45

0.00

28.03

23/06/08

26/06/08

1490.81

ND

5.08

841.32

21.88

1.60

0.18

95.54

0.00

18.38

26/06/08

29/06/08

791.26

ND

3.40

663.12

17.85

1.22

ND

43.49

0.00

14.69

29/06/08

02/07/08

692.06

ND

3.72

572.03

15.53

0.88

ND

42.82

0.00

18.97

02/07/08

05/07/08

848.44

ND

1.79

603.88

18.39

1.15

ND

45.08

0.00

28.02

06/07/08

09/07/08

1123.44

ND

2.68

671.16

19.11

1.16

ND

55.53

0.00

27.51

09/07/08

12/07/08

1029.02

ND

2.54

465.80

15.22

0.88

ND

71.77

0.00

42.85

12/07/08

15/07/08

669.13

ND

2.14

142.74

6.97

0.48

ND

50.06

6.00

39.38

15/07/08

18/07/08

1004.36

1.23

3.99

356.86

14.28

0.77

0.28

76.48

0.00

39.06

18/07/08

21/07/08

1090.90

ND

3.42

510.78

15.16

0.96

ND

82.74

0.00

24.35

21/07/08

24/07/08

1180.97

ND

2.71

512.17

15.64

1.21

0.08

66.50

0.00

25.86

04/08/08

07/08/08

1312.00

ND

4.14

944.80

27.73

1.34

0.09

55.18

0.00

22.38

07/08/08

10/08/08

1114.19

ND

4.69

1163.88

28.20

1.53

ND

44.51

0.00

22.85

10/08/08

13/08/08

1070.68

0.18

2.39

684.19

19.60

1.12

ND

53.46

0.00

21.63

13/08/08

16/08/08

1044.46

ND

1.66

679.81

17.23

0.39

ND

43.38

0.00

37.92

16/08/08

19/08/08

1578.76

ND

1.04

422.14

10.08

ND

ND

77.18

0.00

74.06

19/08/08

22/08/08

1320.90

ND

2.23

454.27

11.64

ND

ND

65.72

0.00

36.47

22/08/08

25/08/08

1184.85

ND

2.70

590.64

13.75

ND

ND

59.56

6.00

32.50

26/08/08

29/08/08

599.25

ND

35.43

637.07

15.85

0.01

ND

21.71

0.00

30.42

29/08/08

01/09/08

1525.47

ND

3.78

814.79

20.30

ND

0.09

53.60

0.00

32.63

01/09/08

04/09/08

696.04

ND

3.04

663.60

18.71

0.14

ND

24.90

1.70

34.78

04/09/08

07/09/08

1837.20

ND

2.98

748.20

20.96

1.47

ND

76.08

0.00

43.19

08/09/08

11/09/08

1572.25

0.20

3.40

823.40

21.42

0.46

ND

68.22

0.00

36.76

11/09/08

14/09/08

1568.19

ND

1.84

357.20

10.26

0.14

ND

51.00

0.00

47.42

15/09/08

18/09/08

1363.02

0.20

3.13

593.86

14.24

0.24

ND

34.88

0.00

45.80

18/09/08

21/09/08

700.17

ND

2.83

486.33

14.48

0.15

ND

13.30

0.00

44.28

21/09/08

24/09/09

1305.41

ND

3.04

644.52

16.40

0.05

ND

23.55

6.00

33.77

24/09/08

27/09/08

2038.99

ND

4.21

37.22

22.58

0.25

ND

36.27

0.00

38.38

27/09/08

30/09/08

2996.07

0.13

2.31

386.33

12.22

0.22

ND

57.05

0.00

64.50

07/10/08

10/10/08

3107.55

ND

2.62

634.12

17.77

0.34

ND

55.18

0.00

47.31

10/10/08

13/10/08

757.10

ND

3.02

608.15

14.77

0.01

ND

27.81

0.00

37.82

13/10/08

16/10/08

2502.41

3.82

2.95

633.04

16.89

1.21

ND

94.66

0.00

49.59

23/10/08

26/10/08

1022.07

4.11

2.05

388.03

9.71

0.93

ND

37.94

6.00

75.73

26/10/08

29/10/08

637.86

0.31

2.19

289.53

7.01

0.03

ND

40.98

0.00

45.77

29/10/08

01/11/08

2154.42

ND

2.65

470.64

12.57

0.07

ND

82.10

0.00

51.29

01/11/08

04/11/08

2203.97

ND

2.59

351.34

10.63

0.59

ND

79.99

5.00

69.30

04/11/08

07/11/08

2131.34

ND

2.66

371.66

10.37

0.28

ND

73.81

4.00

77.26

07/11/08

10/11/08

1805.32

0.96

1.85

119.09

4.69

0.04

ND

68.02

29.50

67.01

10/11/08

13/11/08

2159.48

ND

2.38

141.11

4.82

1.00

ND

78.72

29.70

45.76

13/11/08

16/11/08

2126.56

2.87

2.26

159.28

7.27

0.78

0.51

93.78

18.50

34.39

16/11/08

19/11/08

1516.56

4.29

1.66

135.15

7.06

1.42

ND

85.21

22.50

55.97

19/11/08

22/11/08

1394.34

4.99

1.46

109.63

5.73

1.12

0.22

83.34

9.20

40.37

22/11/08

25/11/08

1057.21

4.11

2.15

165.67

6.62

1.12

0.14

89.16

2.20

25.43

25/11/08

28/11/08

1445.61

5.73

2.56

318.78

10.20

1.60

ND

74.94

0.00

41.70

28/11/08

01/12/08

1335.75

6.25

2.82

271.56

10.87

1.50

0.08

75.49

0.00

49.51

01/12/08

04/12/08

1185.38

4.36

3.99

462.28

13.87

1.76

0.40

78.90

0.00

53.23

04/12/08

07/12/08

1366.15

5.75

1.98

194.39

8.56

1.17

0.13

63.80

24.00

57.27

  1. ND Not detected
  2. Dates in DD/MM/YY format

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Likuku, S.A., Mmolawa, K. (2019). Multivariate Analysis of Airborne Metallic Species in Sebele, Botswana. In: Ramasami, P., Gupta Bhowon, M., Jhaumeer Laulloo, S., Li Kam Wah, H. (eds) Chemistry for a Clean and Healthy Planet. ICPAC 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-20283-5_14

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