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| DOI | 10.1007/s00704-023-04810-9 |
| Climate change impacts on the Nahavand karstic springs using the data mining techniques | |
| 发表日期 | 2024 |
| ISSN | 0177-798X |
| EISSN | 1434-4483 |
| 起始页码 | 155 |
| 结束页码 | 4 |
| 卷号 | 155期号:4 |
| 英文摘要 | Karst resources are sensitive to environmental changes, especially climate change. In this research, monthly data (years 1994-2020) were collected for five karstic springs, namely Famaseb (Sp1), Faresban (Sp2), Ghalebaroodab (Sp3), Giyan (Sp4), and Gonbadkabood (Sp5), located in the Nahavand plain, west of Iran. Data mining models such as KNN, SVM, and M5tree were used to simulate the discharge of springs. The results obtained, based on two statistical indices, correlation coefficient (r) and normalized root mean square error (nRMSE), the M5tree model was more accurate than the other models and was selected to simulate the discharge of the springs. The r-value was equal to 0.736, and nRMSE was 0.113. In the later stage, discharge of the springs was projected for four time periods: 2021-2040, 2041-2060, 2061-2080, and 2081-2100 under two scenarios, RCP8.5 and RCP4.5. The results showed that in the monthly survey, the ratio of the variation in the discharge of the springs compared to the historical period in the Sp1 and Sp2 springs had the most variations. It was found that in November, there was an average increase of + 250% in the investigated periods. Also, the highest decrease compared to the historical period of these two springs was observed during May, which were about - 37 and - 70%, respectively. In springs Sp3, Sp4, and Sp5, like the previous two springs, the most fluctuations occurred in November and May, respectively. |
| 语种 | 英语 |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS类目 | Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001152232100001 |
| 来源期刊 | THEORETICAL AND APPLIED CLIMATOLOGY
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/288356 |
| 作者单位 | Bu Ali Sina University |
| 推荐引用方式 GB/T 7714 | . Climate change impacts on the Nahavand karstic springs using the data mining techniques[J],2024,155(4). |
| APA | (2024).Climate change impacts on the Nahavand karstic springs using the data mining techniques.THEORETICAL AND APPLIED CLIMATOLOGY,155(4). |
| MLA | "Climate change impacts on the Nahavand karstic springs using the data mining techniques".THEORETICAL AND APPLIED CLIMATOLOGY 155.4(2024). |
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