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DOI | 10.1016/j.atmosres.2019.104743 |
Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River Basin using wavelet analysis | |
Li Q.; He P.; He Y.; Han X.; Zeng T.; Lu G.; Wang H. | |
发表日期 | 2020 |
ISSN | 0169-8095 |
卷号 | 234 |
英文摘要 | Investigation to the relation between meteorological drought and hydrological drought is important for facilitating early warning and mitigation of hydrological drought. Therefore, the propagation from the meteorological drought to hydrological drought in the upper Shaying River Basin, China was explored. Based on the goodness-of-fit test of monthly streamflow distribution from four hydrologic stations, the Pearson correlation analysis between monthly Standardized Precipitation Index accumulated periods of 1–24 months and monthly Standardizing Streamflow Index was applied to detect the propagation time between meteorological drought and hydrological drought; the continuous wavelet transform, cross wavelet transform, wavelet coherence and wavelet cross-correlation were utilized to depict the links between meteorological drought and hydrological drought in specific time-frequency bands. The results revealed: (1) different probability distributions were suitable for the Standardizing Streamflow Index at different gauging stations; (2) the propagation time from meteorological drought to hydrological drought notably varied with seasons, the longer in spring and winter and the shorter in summer and autumn; (3) hydrological drought and meteorological drought presented the similar patterns in term of phase shift; (4) close correlation existed between hydrological drought and meteorological drought with high absolute maximum and minimum wavelet cross-correlation coefficients, and changed with periodic scales and the lag time of hydrological drought to meteorological drought. © 2019 Elsevier B.V. |
英文关键词 | Hydrological drought; Meteorological drought; Propagation time; The wavelet analysis; Upper Shaying River Basin |
学科领域 | Correlation methods; Probability distributions; Rivers; Stream flow; Sump pumps; Watersheds; Wavelet analysis; Wavelet transforms; Continuous Wavelet Transform; Hydrological droughts; Meteorological drought; Pearson correlation analysis; Propagation time; River basins; Standardized precipitation index; Wavelet cross-correlation; Drought; climate modeling; correlation; drought; hydrological modeling; numerical model; regional climate; trend analysis; wavelet analysis; China; Shaying Basin |
语种 | 英语 |
scopus关键词 | Correlation methods; Probability distributions; Rivers; Stream flow; Sump pumps; Watersheds; Wavelet analysis; Wavelet transforms; Continuous Wavelet Transform; Hydrological droughts; Meteorological drought; Pearson correlation analysis; Propagation time; River basins; Standardized precipitation index; Wavelet cross-correlation; Drought; climate modeling; correlation; drought; hydrological modeling; numerical model; regional climate; trend analysis; wavelet analysis; China; Shaying Basin |
来源期刊 | Atmospheric Research
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/120524 |
作者单位 | College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China; Center for International River Research, Hohai University, Nanjing, 210098, China; Zhoukou Hydrology and Water Resources Survey Bureau, Zhoukou, 466000, China; Hohai University, Nanjing, 210098, China; Hydrology and Water Resource Bureau of Henan Province, Zhengzhou, 450000, China |
推荐引用方式 GB/T 7714 | Li Q.,He P.,He Y.,et al. Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River Basin using wavelet analysis[J],2020,234. |
APA | Li Q..,He P..,He Y..,Han X..,Zeng T..,...&Wang H..(2020).Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River Basin using wavelet analysis.Atmospheric Research,234. |
MLA | Li Q.,et al."Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River Basin using wavelet analysis".Atmospheric Research 234(2020). |
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