Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China
文献类型：期刊论文
| 作者 | Du, Longgang1,2; Li, Xinxin3,4; Yang, Moyuan5; Sivakumar, Bellie6; Zhu, Yanxin3,4; Pan, Xingyao5; Li, Zhijia2; Sang, Yan-Fang3,7 |
| 刊名 | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
 |
| 出版日期 | 2021-10-25 |
| 页码 | 15 |
| 关键词 | Precipitation Complexity Entropy Climate variability Spatial pattern |
| ISSN号 | 1436-3240 |
| DOI | 10.1007/s00477-021-02116-8 |
| 通讯作者 | Yang, Moyuan(ymoyuan@163.com) ; Sang, Yan-Fang(sangyf@igsnrr.ac.cn) |
| 英文摘要 | Entropy indexes are widely used to measure the complexity of precipitation and its spatiotemporal variability, due to their advantages in quantifying the complex and nonlinear interactions of climate variables. However, different entropy indexes may provide different outcomes on the complexity of precipitation, thus causing difficulties in the assessment of actual complexity. In this study, we identified and chose the optimal entropy index from six entropy indexes based on the reliability and stability of entropy values, to assess the complexity of precipitation. The six entropy indexes considered are: information entropy (IE), fuzzy entropy (FE), approximate entropy (AE), sample entropy (SE), wavelet entropy (WE), and permutation entropy (PE). We implemented the approach on the monthly precipitation data observed over the period 1968-2017 at 58 meteorological stations in Beijing, China. The results indicated that the SE index was the optimal index with the best reliability and stability and, thus, was used to examine the complexity of the 58 monthly precipitation series in Beijing. The results also suggested that the complexity of precipitation can be viewed in terms of four sub-regions in Beijing. The precipitation in the 'Northern Mountain Area', with high complexity, was more affected by the interactions between the terrain and climate variability, compared with that in the 'Southern Mountain Area' with low complexity. The precipitation in the 'Central Urban Area' was more significantly impacted by the extensive urbanization than that in the 'Northeast Suburban Area', causing higher complexity in the former. At temporal scale, the complexity of precipitation in the 'Southern Mountain Area' exhibited the largest increasing rate due to the highest impacts of climate variability, followed by the 'Central Urban Area' with a moderate increasing rate of complexity of precipitation due to the impacts of human activities. However, the complexity of precipitation in the 'Northern Mountain Area' and 'Northeast Suburban Area' exhibited small changes due to relatively weak sensitivity to climate variability and human activities. |
| WOS关键词 | TIME-SERIES ; APPROXIMATE ENTROPY ; SAMPLE ENTROPY ; URBANIZATION ; COMPLEXITY ; RAINFALL ; IMPACT ; MODEL ; IDENTIFICATION ; STREAMFLOW |
| 资助项目 | National Key Research and Development Program[2019YFA0606903] ; National Natural Science Foundation of China[41971040] ; CAS Interdisciplinary Innovation Team[JCTD-2019-04] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000710852800002 |
| 出版者 | SPRINGER |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China ; CAS Interdisciplinary Innovation Team |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167253]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Moyuan; Sang, Yan-Fang |
| 作者单位 | 1.Beijing Hydrol Ctr, Beijing 100089, Peoples R China 2.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 101407, Peoples R China 5.Beijing Water Sci & Technol Inst, Beijing 100048, Peoples R China 6.Indian Inst Technol, Dept Civil Engn, Mumbai 400076, Maharashtra, India 7.Minist Emergency Management China, Key Lab Compound & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Du, Longgang,Li, Xinxin,Yang, Moyuan,et al. Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2021:15. |
| APA | Du, Longgang.,Li, Xinxin.,Yang, Moyuan.,Sivakumar, Bellie.,Zhu, Yanxin.,...&Sang, Yan-Fang.(2021).Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,15. |
| MLA | Du, Longgang,et al."Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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