Academic Journal
Fitting Probability Distributions and Statistical Trend Analysis of Rainfall of Agro-climatic Zone of West Bengal
| العنوان: | Fitting Probability Distributions and Statistical Trend Analysis of Rainfall of Agro-climatic Zone of West Bengal |
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| المؤلفون: | Bhawishya Pradhan, Banjul Bhattacharyya, N. Elakkiya and T. Gowthaman |
| المصدر: | Nature Environment and Pollution Technology, Vol 23, Iss 4, Pp 2453-2460 (2024) |
| بيانات النشر: | Technoscience Publications, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Environmental effects of industries and plants LCC:Science (General) |
| مصطلحات موضوعية: | rainfall, probability distribution, mann-kendall test, agro-climatic zones, Environmental effects of industries and plants, TD194-195, Science (General), Q1-390 |
| الوصف: | This research aimed to identify the most appropriate probability distribution for modeling average monthly rainfall in the agro-climatic zones of West Bengal and to detect any trends in this data. The study utilized historical rainfall data spanning 51 years (1970-2020) obtained from the IMD in Pune. To determine the best-fitting distribution and assess trends, 23 different probability distributions were employed, with the Mann-Kendall test and Sen’s slope estimator used for trend analysis. Goodness-of-fit tests, including the Kolmogorov-Smirnov, Anderson-Darling, and Chi-square tests, were employed to determine the most suitable distribution. The findings indicated that the Generalized Extreme Value, Gamma, and Lognormal (3-parameter) distributions were the best fits for two specific districts. The monthly rainfall distributions can be effectively used for predicting future monthly rainfall events in the region. The Mann-Kendall test revealed an increasing trend in rainfall for Kalimpong and Nadia Districts and a decreasing trend for Malda District. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 0972-6268 2395-3454 |
| Relation: | https://neptjournal.com/upload-images/(51)B-4160.pdf; https://doaj.org/toc/0972-6268; https://doaj.org/toc/2395-3454 |
| DOI: | 10.46488/NEPT.2024.v23i04.051 |
| URL الوصول: | https://doaj.org/article/f955d048b08c4344bd49c37c0c388d0b |
| رقم الانضمام: | edsdoj.f955d048b08c4344bd49c37c0c388d0b |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 09726268 23953454 |
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| DOI: | 10.46488/NEPT.2024.v23i04.051 |