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| DOI | 10.5194/hess-28-1415-2024 |
| On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes | |
| 发表日期 | 2024 |
| ISSN | 1027-5606 |
| EISSN | 1607-7938 |
| 起始页码 | 28 |
| 结束页码 | 6 |
| 卷号 | 28期号:6 |
| 英文摘要 | There is a wide variety of drought indices, yet a consensus on suitable indices and temporal scales for monitoring streamflow drought remains elusive across diverse hydrological settings. Considering the growing interest in spatially distributed indices for ungauged areas, this study addresses the following questions: (i) What temporal scales of precipitation-based indices are most suitable to assess streamflow drought in catchments with different hydrological regimes? (ii) Do soil moisture indices outperform meteorological indices as proxies for streamflow drought? (iii) Are snow indices more effective than meteorological indices for assessing streamflow drought in snow-influenced catchments? To answer these questions, we examined 100 near-natural catchments in Chile with four hydrological regimes, using the standardised precipitation index (SPI), standardised precipitation evapotranspiration index (SPEI), empirical standardised soil moisture index (ESSMI), and standardised snow water equivalent index (SWEI), aggregated across various temporal scales. Cross-correlation and event coincidence analysis were applied between these indices and the standardised streamflow index at a temporal scale of 1 month (SSI-1), as representative of streamflow drought events. Our results underscore that there is not a single drought index and temporal scale best suited to characterise all streamflow droughts in Chile, and their suitability largely depends on catchment memory. Specifically, in snowmelt-driven catchments characterised by a slow streamflow response to precipitation, the SPI at accumulation periods of 12-24 months serves as the best proxy for characterising streamflow droughts, with median correlation and coincidence rates of approximately 0.70-0.75 and 0.58-0.75, respectively. In contrast, the SPI at a 3-month accumulation period is the best proxy over faster-response rainfall-driven catchments, with median coincidence rates of around 0.55. Despite soil moisture and snowpack being key variables that modulate the propagation of meteorological deficits into hydrological ones, meteorological indices are better proxies for streamflow drought. Finally, to exclude the influence of non-drought periods, we recommend using the event coincidence analysis, a method that helps assessing the suitability of meteorological, soil moisture, and/or snow drought indices as proxies for streamflow drought events. |
| 语种 | 英语 |
| WOS研究方向 | Geology ; Water Resources |
| WOS类目 | Geosciences, Multidisciplinary ; Water Resources |
| WOS记录号 | WOS:001192159700001 |
| 来源期刊 | HYDROLOGY AND EARTH SYSTEM SCIENCES
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/304425 |
| 作者单位 | Ghent University; Universidad de La Frontera; Universidad de Chile; King Abdullah University of Science & Technology; Universidad de Chile; Universidad Adolfo Ibanez |
| 推荐引用方式 GB/T 7714 | . On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes[J],2024,28(6). |
| APA | (2024).On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes.HYDROLOGY AND EARTH SYSTEM SCIENCES,28(6). |
| MLA | "On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes".HYDROLOGY AND EARTH SYSTEM SCIENCES 28.6(2024). |
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