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ID:
174222
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| Summary/Abstract |
In South Africa, the smallholding-farming system is a dominant economic activity in rural communities. This study examines smallholder-farmers’ perceptions in regards to climate changes, in comparison with evidence from meteorological data from 1980–2015, across Vhembe District; data from a questionnaire and recorded meteorological were used. The results reveal that, farmers’ perceptions of climatic conditions are consistent with meteorological details on climatic change. In other words, the study, showed that, farmers’ perceptions using climate indicators, mirror meteorological data. It was concluded that it is imperative for farmers to understand issues such as, temperature and rainfall patterns in order to identify adaptive strategies to the negative impacts of climate.
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| 2 |
ID:
090093
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| Publication |
2009.
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| Summary/Abstract |
The measured data of global solar radiation on a horizontal surface, as well as the number of sunshine hours, mean daily ambient temperature, maximum and minimum ambient temperatures, relative humidity and amount of cloud cover, for Jeddah (latitude 21° 42?37?N, longitude 39° 11?12?E), Saudi Arabia for the period 1996-2006 are analyzed. The data are divided into two sets. The sub-data set 1 (1996-2004) are employed to develop empirical correlations between the monthly average of daily global solar radiation fraction (H/H0) and various meteorological parameters. The nonlinear Angström type model developed by Sen and the trigonometric function model proposed by Bulut and Büyükalaca are also evaluated. New empirical constants for these two models have been obtained for Jeddah. The sub-data set 2 (2005, 2006) are then used to evaluate the derived correlations. Comparisons between measured and calculated values of H have been performed. It is indicated that, the Sen and Bulut and Büyükalaca models satisfactorily describe the horizontal global solar radiation for Jeddah. All the proposed correlations are found to be able to predict the annual average of daily global solar radiation with excellent accuracy. Therefore, the long term performance of solar energy devices can be estimated.
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