Discrete Wavelet Entropy Aided Detection of Abrupt Change: A Case Study in the Haihe River Basin, China
文献类型：SCI/SSCI论文
| 作者 | Sang Y. F. ; Wang Z. G. ; Li Z. L. |
| 发表日期 | 2012 |
| 关键词 | climate change temperature time series analysis abrupt change wavelet information entropy Haihe River Basin trend detection time-series climate-change flow identification complexity floods noise |
| 英文摘要 | Detection of abrupt change is a key issue for understanding the facts and trends of climate change, but it is also a difficult task in practice. The Mann-Kendall (MK) test is commonly used for treating the issue, while the results are usually affected by the correlation and seasonal characters and sample size of series. This paper proposes a discrete wavelet entropy-aided approach for abrupt change detection, with the temperature analyses in the Haihe River Basin (HRB) as an example. The results show some obviously abrupt temperature changes in the study area in the 1960s-1990s. The MK test results do not reflect those abrupt temperature changes after the 1980s. Comparatively, the proposed approach can detect all main abrupt temperature changes in HRB, so it is more effective than the MK test. Differing from the MK test which only considers series' value order or the conventional entropy which mainly considers series' statistical random characters, the proposed approach is to describe the complexity and disorderliness of series using wavelet entropy theories, and it can fairly consider series' composition and characteristics under different scales, so the results can more accurately reflect not only the abrupt changes, but also the complexity variation of a series over time. However, since it is based on the entropy theories, the series analyzed must have big sample size enough and the sampling rates being smaller than the concerned scale for the accurate computation of entropy values. |
| 出处 | Entropy |
| 卷 | 14 |
| 期 | 7 |
| 页 | 1274-1284 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1099-4300 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/26809]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Sang Y. F.,Wang Z. G.,Li Z. L.. Discrete Wavelet Entropy Aided Detection of Abrupt Change: A Case Study in the Haihe River Basin, China. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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