Rainfall probability modeling for Neelambur areas of Coimbatore, Tamil Nadu
Daily rainfall data obtained from the rain gauge station, Sulur (110 N and 770 E) were analyzed for fitting one day maximum rainfall, average weekly, monthly and seasonal rainfall data, using different distributions like Normal, Log-normal, Gumbel and Log-Pearson III to determine the best fit distri...
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Veröffentlicht in: | Journal of agrometeorology 2009-12, Vol.11 (2), p.188-191 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Daily rainfall data obtained from the rain gauge station, Sulur (110 N and 770 E) were analyzed for fitting one day maximum rainfall, average weekly, monthly and seasonal rainfall data, using different distributions like Normal, Log-normal, Gumbel and Log-Pearson III to determine the best fit distribution. Over the study area, the Gumbel and Normal distribution distributions are identified for the estimation of one day maximum rainfall, the average weekly and monthly rainfall with minimum D-index. However for seasonal rainfall, all four distribution viz., Gumbel, Lognormal, Log-Pearson III and Normal distributions gave relatively low D-index values with minimum in Gumbel distribution. |
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ISSN: | 0972-1665 2583-2980 |
DOI: | 10.54386/jam.v11i2.1251 |