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| DOI | 10.1007/s11004-023-10126-1 |
| Modeling Extreme Precipitation Data in a Mining Area | |
| 发表日期 | 2024 |
| ISSN | 1874-8961 |
| EISSN | 1874-8953 |
| 英文摘要 | In recent decades, extreme precipitation events have increased in frequency and intensity in Greece and across regions of the Mediterranean, with significant environmental and socioeconomic impacts. Therefore, extensive statistical analysis of the extreme rainfall characteristics on a dense temporal scale is crucial for areas with important economic activity. For this reason, this paper uses the daily precipitation measurements of four meteorological stations in a mining area of northeastern Chalkidiki peninsula from 2006 to 2021. Three statistical approaches were carried out to develop the best-fitting probability distribution for annual extreme precipitation conditions, using the maximum likelihood method for parameter estimation: the block maxima of the generalized extreme value (GEV) distribution and the peak over threshold of the generalized Pareto distribution (GPD) based on extreme value theory (EVT), and the gamma distribution. Based upon this fitting distribution procedure, return periods for the extreme precipitation values were calculated. Results indicate that EVT distributions satisfactorily fit extreme precipitation, with GPD being the most appropriate, and lead to similar conclusions regarding extreme events. |
| 英文关键词 | Modeling; Climate change; Extreme rainfall; Mining area; Extreme value theory |
| 语种 | 英语 |
| WOS研究方向 | Geology ; Mathematics |
| WOS类目 | Geosciences, Multidisciplinary ; Mathematics, Interdisciplinary Applications |
| WOS记录号 | WOS:001153246300001 |
| 来源期刊 | MATHEMATICAL GEOSCIENCES
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/292680 |
| 作者单位 | Technical University of Crete |
| 推荐引用方式 GB/T 7714 | . Modeling Extreme Precipitation Data in a Mining Area[J],2024. |
| APA | (2024).Modeling Extreme Precipitation Data in a Mining Area.MATHEMATICAL GEOSCIENCES. |
| MLA | "Modeling Extreme Precipitation Data in a Mining Area".MATHEMATICAL GEOSCIENCES (2024). |
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