Analysis of atmospheric turbidity levels at Taichung Harbor near the Taiwan Strait

Wen, Chi‐Chung; Yeh, Hui-Hsuan

doi:10.1016/j.atmosres.2009.05.010

Cited by 11 publications

(8 citation statements)

References 34 publications

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“…Annual mean values of β obtained from the models and from space are plotted in Figure 9 and given in Table 3. We can notice three points: The first point was also reported by [38] The second point is related to the city environment. The recent study of [39] showed that the urban aerosols during the same period of study predominate the other types of aerosols.…”

Section: Resultsmentioning

confidence: 72%

Investigation of Atmospheric Turbidity at Ghadaa (Algeria) Using Both Ground Solar Irradiance Measurements and Space Data

Djafer

Irbah²,

Philippe³

et al. 2019

ACS

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Section: Resultsmentioning

confidence: 72%

Investigation of Atmospheric Turbidity at Ghadaa (Algeria) Using Both Ground Solar Irradiance Measurements and Space Data

Djafer

Irbah²,

Philippe³

et al. 2019

ACS

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“…The mean deviation of 10.3% in values of TL is a result of differences between methods and to the integral optical thickness factor and eccentricity correction factor of the Earth's orbit. Variations of TL have also been reported in studies (Li and Lam, 2002;Wen and Yeh, 2009) for Hong Kong and Taichung Harbor, respectively, in the analyses of four models. Turbidity has variability throughout the day, increases in the morning and decreases in the afternoon, with maximum values near solar noon.…”

Section: Diurnal and Seasonal Variation Of The Linke's Turbiditymentioning

confidence: 64%

“…For TL Li , about 92.06% of occurrences are in the range of [2.0-6.0] and 93.95% of occurrences of this range for TL Dj . Analyzing four techniques for TL calculation, Wen and Yeh (2009) observed different variations as follows: [0.5 to 7.0] methodology 1; [2.0-10.0] methodology 2; [4.0-10] methodology 3; [5.0-10.0] methodology 4, with values inclined towards the left and peak between 5 and 8.…”

Section: Linke's Turbidity Frequency Distributionmentioning

confidence: 99%

Temporal variability of atmospheric turbidity and DNI attenuation in the sugarcane region, Botucatu/São Paulo/Brazil

Santos

Escobedo

2016

Atmospheric Research

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In this study, attenuation of direct normal solar irradiance (DNI) in Botucatu / São Paulo, an area under the influence of local and adjacent agricultural burning, is expressed using the Linke's turbidity factor (TL) in the period from 1996 to 2008. Two methodologies represented as TL Dj and TL Li were used. Temporal variability (hourly average for the season and monthly average) is presented. Turbidity was correlated with wind speed and air temperature. Frequency distribution and cumulative frequency are analyzed to determine turbidity predominance levels in the local atmosphere. Optical depth information of aerosols at 550 nm (AOD 550nm) and water vapor were obtained by the Terra satellite using the MODIS sensor. The highest degree of DNI transmission is observed in the morning. Close to solar noon, transmission is smaller (greatest TL value). Diurnal TL variability is more evident in the hot period than in the cold period. May and June were the months of lowest DNI attenuation (highest atmospheric transparency). The highest DNI attenuation occurs in spring (TL Dj = 4.22 ± 0.05 and TL Li = 4.65 ± 0.06) and summer (TL Dj = 4.27 ± 0.14 and TL Li = 4.69 ± 0.15). Wind speed and air temperature were positively correlated with TL. In N 28% of hours of clear sky, turbidity exceeded the value of 4.0. The region of Botucatu seems to be influenced by water vapor and aerosols from different origins. This study concludes that these factors significantly reduce DNI incidence on the surface, with higher atmospheric transparency in the cold period and lower atmospheric transparency in the warm period.

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“…Such parameters are the wavelength exponent α that is used to calculate the aerosol transmittance, the ground albedo ρ g , the forward scattering F c and the single scattering albedo w 0 . Wen and Yeh (2009) have studied the atmospheric turbidity properties of Taichung Harbor considering data recorded in 2004-2005 and the Angström turbidity models of Louche et al (1986) and Pinazo et al (1995). They found that the annual mean values of the Angström turbidity coefficient obtained from theses models were respectively 0.174 and 0.21.…”

Section: The Angström Coefficientmentioning

confidence: 99%

Estimation of atmospheric turbidity over Ghardaïa city

Djafer¹,

Irbah²

2013

Atmospheric Research

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International audienceThe atmospheric turbidity expresses the attenuation of the solar radiation that reaches the Earth's surface under cloudless sky and describes the optical thickness of the atmosphere. We investigate the atmospheric turbidity over Gharda¨ıa city using two turbidity parameters, the Linke turbidity factor and the Angstr ¨om turbidity coefficient. Their values and temporal variation are obtained from data recorded between 2004 and 2008 at Gharda¨ıa. The results show that both parameters have the same trend along the year. They reach their maximumaround summer months and their minimum around winter months. The monthly average value varies between 1.3 and 5.6 for the Linke turbidity factor and between 0.02 and 0.19 for the Angstr ¨om turbidity coefficient. We find that 39.8% of the Linke turbidity factor values are less than 3, 47.5% are between 3 and 5 and only 12.7% are greater than 5. For the Angstr ¨om turbidity coefficient, 9.4% of the values are less than 0.02, 75.4% are between 0.02 and 0.15 and 15.2% exceed 0.15

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Analysis of atmospheric turbidity levels at Taichung Harbor near the Taiwan Strait

Cited by 11 publications

References 34 publications

Investigation of Atmospheric Turbidity at Ghadaa (Algeria) Using Both Ground Solar Irradiance Measurements and Space Data

Investigation of Atmospheric Turbidity at Ghadaa (Algeria) Using Both Ground Solar Irradiance Measurements and Space Data

Temporal variability of atmospheric turbidity and DNI attenuation in the sugarcane region, Botucatu/São Paulo/Brazil

Estimation of atmospheric turbidity over Ghardaïa city

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