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All Journal Indonesian Journal of Earth Sciences Indonesian Journal of Sustainable Agriculture and Environmental Sciences
Shafi, Amna
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Environmental Science

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Investigation of Seasonal and Annual Wind Speed Distribution of Tarnab Based on Weibull and Rayleigh Distribution Models Khan, Aamir; Shafi, Amna
Indonesian Journal of Earth Sciences Vol. 4 No. 1 (2024): January-June
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2024.1037

Abstract

This study aims to statistically analyze wind speed data of Tarnab, Peshawar, for the period 2004-2023. The data was recorded at the Agriculture Research Institute, Tarnab, Peshawar. Two statistical models (two-parameter Weibull and Rayleigh distribution functions) were applied to find the distributions of wind speeds. For the estimation of shape and scale parameters of Weibull and Rayleigh, two methods were employed: the method of moments and the energy pattern factor. Three statistical tools (mean percentage error, mean absolute percentage error, and root mean square deviation) were applied to check the error percentage of both models. The results of the Weibull distribution were much closer to the observed data than those of the Rayleigh distribution. The average values of wind speeds tended to increase from winter to summer and vice versa. The highest recorded annual and seasonal wind speeds were 26.19 in/s and 41.57 in/s, respectively, while the lowest values were 7.11 in/s and 4.95 in/s, respectively. Thus, while ruling out the possibility of harnessing wind as a significant source of energy, the findings are still useful for the crops produced in the region.
Air to Soil Temperature Comparison: A Case Study for Tarnab, Pakistan Shafi, Amna; Khan, Aamir
Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAES) Vol. 1 No. 3 (2025): Indonesian Journal of Sustainable Agriculture and Environmental Sciences (IJSAE
Publisher : CV. Truly Science Publishing

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Abstract

Background: The study of air-soil coupling is crucial for agricultural lands such as Tarnab since it provides valuable insights into microbial dynamics, soil ventilation, and the biogeochemical cycle. In addition to this, the floods of 2010 (which also affected the Tarnab) add more value to this work. Governing the air-soil coupling is mandatory for providing the vital oxygen for the roots. Aim: In this research, the regression equations linking the seasonal daily average air temperature and seasonal daily average soil temperature have been established for Tarnab. Methods: The data of daily maximum/minimum air temperature and soil temperatures (8 am/5 pm), which have been regularly recorded at the Agriculture Research Institute Tarnab from 1996 to 2023, have been used to find the regression. Results: The average maximum temperature correlates strongly with 5 pm soil temperature in MAM (R2=0.4453] and DJF (R2=0.4995) with 26.75(95% CI: 23.04, 30.77) and 14.28(95% CI: 7.30, 18.83) confidence intervals, respectively and n=28. The R2 for the SON is fairly strong for the relationship between maximum temperature and 5 pm soil temperature, as well as minimum temperature and soil temperature at 8 am, with values 0.1748 {25.96[95% CI: 20.83, 29.43]} and 0.2872 {19.11[95% CI: 14.78, 22.18]}, respectively. Conclusion: Air temperature has shown an influence on soil temperature, besides some irregular behaviour.
Co-Authors Khan, Aamir