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Geo-Statistical Estimation and Temporal Distribution of Wind Speed Data of Karachi Airport
Author(s):
1. Muhammad Irfan: Institute of Space Science and Technology, University of Karachi, Karachi, Pakistan
2. Salman Zubair: Department of Geography, University of Karachi, Karachi, Pakistan
3. Abid Hussain: Department of Applied Physics, University of Karachi, Karachi, Pakistan
Abstract:
Karachi city is a coastal city near the Arabian sea. Due to its location, wind speed may provide a sustainable small scale wind energy system as well as reduction in power shortage in the city. In this study, wind speed data of Karachi Airport station at 10m height is used to estimate wind speed in the surrounding area with reference to measured wind speed data of the station. This estimated wind speed will then be helpful to assess small scale wind power generation at the unsampled locations. Geo-Statics tool in ArcGIS version 10.1 software was utilised to estimate measured wind speed using different interpolation methods. Descriptive statistics were used to analyse and compare measured and estimated wind speed. The analysis summarises the efectiveness of the estimated wind speed. Time series variations of the wind speed data was also analysed. Temporal mapping showing seasonal variations of the wind speed. The descriptive statistics illustrated a high value of correlation coeficient 'r', coeficient of determination R2 which is 99.8% for Ordinary and Universal kriging interpolation methods, while it was calculated 99.6% for Simple kriging. A slightly higher coeficient of variation resulted in Ordinary and Universal kriging methods than the Simple kriging method. The results indicated that all three kriging methods performed better and are more effective to estimate wind speed and wind power in the surrounding area and for Temporal display.
Page(s): 31-42
DOI: DOI not available
Published: Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, Volume: 58, Issue: 2, Year: 2021
Keywords:
descriptive statistics , Geographical Information System GIS , Wind Power Potential , Kriging Interpolation , Geostatistical Analysis , Wind Speed Estimation
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