The importance of statistical analysis in the field of energy for environmental engineering is shown in this research paper, in which the adequacy of the data sets of clarity index with the model of “best” probability (based on the criteria used) was studied. In Campo Grande which is the capital of the Brazilian state of Mato Grosso do Sul, located in the Center-West region of the country, there is a predominance of the atmospheric conditions of low cloudiness, with a high frequency of days with a clear sky and in consequence a low-frequency of days with cloudy sky. The aerosols resulting from the burning of sugarcane influence the sky conditions in Campo Grande thus reducing the frequency of the clear sky.

References

References
1.
Iqbal
,
M.
,
1983
,
An Introduction to Solar Radiation
,
Academic Press
,
London
, p.
390
.
2.
Escobedo
,
J. F.
,
Gomes
,
E. N.
,
Oliveira
,
A. P.
, and
Soares
,
J.
,
2011
, “
Ratios uv, par and nir Components of Global Solar Radiation at Surface Measured at Botucatu Site in Brazil
,”
Renew. Energ.
,
36
, pp.
169
178
.
3.
Wielicki
,
B. A.
,
Wong
,
T.
,
Loeb
,
N.
,
Minnis
,
P.
,
Priestley
,
K.
, and
Kandel
,
R.
,
2005
, “
Changes in Earth’s Albedo Measured by Satellite
,”
Science
,
308
(
5723
), pp.
825
825
.
4.
Kaufman
,
Y. J.
, and
Koren
,
I.
,
2006
, “
Smoke and Pollution Aerosol Effect on Cloud Cover
,”
Science
,
313
(
5787
), pp.
655
658
.
5.
Kvalevag
,
M. M.
, and
Myhre
,
G.
,
2007
, “
Human Impact on Direct and Diffuse Solar Radiation During the Industrial era
,”
J. Clim.
,
20
(
19
), pp.
4874
4883
.
6.
Codato
,
G.
,
Oliveira
,
A. P.
,
Soares
,
J.
,
Escobedo
,
J. F.
,
Gomes
,
E. N.
, and
Pai
,
A. D.
,
2008
, “
Global and Diffuse Solar Irradiances in Urban and Rural Areas in Southeast Brazil
,”
Theor. Appl. Climatol.
,
93
(
1–2
), pp.
57
73
.
7.
Li
,
D. H. W.
, and
Lam
,
J. C.
,
2000
, “
An Analysis of Climatic Parameters and Sky Condition Classification
,”
Build. Environ.
,
36
(
4
), pp.
435
445
.
8.
Ogunjobi
,
K. O.
,
Kim
,
Y. J.
,
Adedokun
,
J. A.
,
Ryu
,
S. Y.
, and
Kim
,
J. E.
,
2002
, “
Analysis of Sky Conditions Using Solar Radiation Data at Kwangju and Seoul, South Korea and Ile-Ife, Nigeria
,”
Theor. Appl. Climatol.
,
72
(
3
), pp.
265
272
.
9.
Che
,
H. Z.
,
Shi
,
G. Y.
,
Zhang
,
X. Y.
,
Zhao
,
J. Q.
, and
Li
,
Y.
,
2007
, “
Analysis of Sky Conditions Using 40 Year Records of Solar Radiation Data in China
,”
Theor. Appl. Climatol.
,
89
(
1
), pp.
83
94
.
10.
Souza
,
A.
,
Pavão
,
H. G.
,
Lastoria
,
G.
,
Gabas
,
S. G.
,
Cavazzana
,
G. H.
, and
Filho
,
A. C.
,
2010
, “
Modelo de Thom Para o Zoneamento Bioclimático de Mato Grosso do Sul
,”
Rev. Geogr. Norte GD.
,
46
, pp.
137
147
.
11.
Duffie
,
J. A.
, and
Beckman
,
W. A.
,
2013
,
Solar Engineering of Thermal Processes
,
John Wiley
,
Hoboken, NJ
.
12.
Ihaddadene
,
R.
,
Ihaddadene
,
N.
, and
Mostefaoui
,
M.
,
2016
, “
Estimation of Monthly Wind Speed Distribution Basing on Hybrid Weibull Distribution
,”
World J. Eng.
,
13
(
6
), pp.
509
515
.
13.
Olaofe
,
Z. O.
, and
Folly
,
K. A.
,
2012
, “
Statistical Analysis of Wind Resources at Darling for Energy Production
,”
Int. J. Renew. Energ. Res.
,
2
(
2
), pp.
250
251
.
14.
Souza
,
A.
,
Olaofe
,
Z.
,
Shiva Prashanth Kumar Kodicherla
,
S,P,K
,
Ikefuti
,
P.
,
Nobrega
,
L.
, and
Sabbah
,
I.
,
2018
, “
Probability Distributions Assessment for Modeling Gas Concentration in Campo Grande, MS, Brazil
,”
Eur. Chem. Bull.
,
6
(
12
), pp.
569
578
.
15.
Oguntunde
,
P. E.
,
Odetunmibi
,
O. A.
, and
Adejumo
,
A. O.
,
2014
, “
A Study of Probability Models in Monitoring Environmental Pollution in Nigeria
,”
J. Probab. Stat.
,
4
(
4
).
16.
Lu
,
H. C.
,
2004
, “
Estimating the Emission Source Reduction of PM10 in Central Taiwan
,”
Chemosphere
,
54
(
7
), pp.
805
814
.
17.
Noor
,
N. M.
,
Tan
,
C. Y.
,
Ramli
,
N. A.
,
Yahaya
,
A. S.
, and
Yusof
,
N. F. F. M.
,
2011
, “
Assessment of Various Probability Distributions to Model Pm 10 Concentration for Industrialized Area in Peninsula Malaysia: A Case Study in Shah Alam and Nilai
,”
Aust. J. Basic Appl. Sci.
,
5
(
12
), pp.
2796
2811
.
18.
Olaofe
,
Z. O.
,
2017
, “
Assessment of the Offshore Wind Speed Distributions at Selected Stations in the South-West Coast, Nigeria
,”
Int. J. Renew. Energ. Res.
,
7
(
2
), pp.
565
577
.
19.
Lohmann
,
U.
, and
Feichter
,
J.
,
2005
, “
Global Indirect Aerosol Effects: A Review
,”
Atmos. Chem. Phys.
,
5
(
3
), pp.
715
737
.
20.
Koren
,
I.
,
Martins
,
J. V.
,
Remer
,
L. A.
, and
Afargan
,
H.
,
2008
, “
Smoke Invigoration Versus Inhibition of Clouds Over the Amazon
,”
Science
,
321
(
5891
), pp.
946
949
.
21.
Souza
,
A.
,
Santos
,
D. A. S.
,
Aristone
,
F.
,
Kovač-Andrić
,
E.
,
Matasović
,
B.
, and
Pires
,
J.
,
2017
, “
Meteorological Impact Factors on the Modeling of Ozone Concentrations Using Analysis of Temporal Series and Multivariate Statistic Methods
,”
Holos
,
5
(
33
), pp.
2
16
.
22.
Souza
,
A.
,
Santos
,
D. A. S.
, and
Caldin
,
L. P. G.
,
2017
, “
Urban Air Pollution From Aerosol Data Modis: Effect of Meteorological Parameters
,”
Bol. Goiano Geogr.
,
37
(
3
), pp.
466
483
.
23.
Carvalho
,
L. M. V.
,
Jones
,
C.
, and
Liebmann
,
B.
,
2004
, “
The South Atlantic Convergence Zone: Intensity, Form, Persistence, and Relationships with Intraseasonal to Interannual Activity and Extreme Rainfall
,”
J. Clim.
,
17
(
1
), pp.
88
108
.
You do not currently have access to this content.