Propagation from meteorological to hydrological drought in the Horn of Africa using both standardized and threshold-based indices

IF 4.2 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Natural Hazards and Earth System Sciences Pub Date : 2023-06-28 DOI:10.5194/nhess-23-2365-2023
Rhoda A. Odongo, H. de Moel, A. V. van Loon
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引用次数: 2

Abstract

Abstract. There have been numerous drought propagation studies in data-rich countries, but not much has been done for data-poor regions (such as the Horn of Africa, HOA). In this study, we characterize meteorological, soil moisture and hydrological drought and the propagation from one to the other for 318 catchments in the HOA to improve understanding of the spatial variability in the drought hazard. We calculate the standardized precipitation index (SPI), standardized soil moisture index (SSMI) and standardized streamflow index (SSI). In addition, we use the variable threshold method to calculate the duration of drought below a predefined percentile threshold for precipitation, soil moisture and discharge. The relationship between meteorological and soil moisture drought is investigated by finding the SPI accumulation period that has the highest correlation between SPI and SSMI, and the relationship between meteorological and hydrological drought is analysed by the SPI accumulation period that has the highest correlation between SPI and SSI time series. Additionally, we calculated these relationships with the ratio between the threshold-based meteorological-drought duration and soil moisture drought duration and the relation between threshold-based meteorological-drought duration and streamflow drought duration. Finally, we investigate the influence of climate and catchment characteristics on these propagation metrics. The results show that (1) the propagation from SPI to SSMI and the mean drought duration ratio of meteorological to soil moisture drought (P / SM) are mainly influenced by soil properties and vegetation, with the short accumulation periods (1 to 4 months) of SPI in catchments with arable land, high mean annual precipitation, and low sand and silt content, while longer accumulations (5 to 7 months) are in catchments with low mean annual upstream precipitation and shrub vegetation; (2) the propagation from SPI to SSI and precipitation-to-streamflow duration ratio are highly influenced by the climate and catchment control, i.e. geology, elevation and land cover, with the short accumulation times in catchments with high annual precipitation, volcanic permeable geology and cropland and the longer accumulations in catchments with low annual precipitation, sedimentary rocks and shrubland; and (3) the influence of mean annual upstream precipitation is more important for the propagation from SPI to SSI than from SPI to SSMI. Additionally, precipitation accumulation periods of approximately 1 to 4 months in wet western areas of the HOA and of approximately 5 to 7 months in the dryland regions are found. This can guide forecasting and management efforts as different drought metrics are thus of importance in different regions.
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使用标准化和基于阈值的指数研究非洲之角从气象干旱到水文干旱的传播
摘要在数据丰富的国家进行了许多干旱传播研究,但在数据贫乏的地区(如非洲之角)却没有做太多研究。在这项研究中,我们对HOA中318个集水区的气象、土壤水分和水文干旱以及从一个流域到另一个流域的传播进行了表征,以提高对干旱危害的空间变异性的理解。我们计算了标准化降水指数(SPI)、标准化土壤水分指数(SSMI)和标准化径流指数(SSI)。此外,我们使用可变阈值方法来计算降水、土壤湿度和流量低于预定百分阈值的干旱持续时间。通过寻找SPI与SSMI相关性最高的SPI积累期来研究气象干旱与土壤水分干旱之间的关系,并通过SPI与SSI时间序列相关性最高的SPI-积累期来分析气象干旱与水文干旱的关系。此外,我们还计算了基于阈值的气象干旱持续时间与土壤水分干旱持续时间之比以及基于阈值的气候干旱持续时间和径流干旱持续时间之间的关系。最后,我们研究了气候和集水区特征对这些传播指标的影响。结果表明:(1)SPI向SSMI的传播和气象干旱与土壤水分干旱的平均干旱持续率(P / SM)主要受土壤性质和植被的影响,SPI在有耕地、年平均降水量高、含沙量和含泥量低的集水区积累期短(1至4个月),而在上游多年平均降水量低的流域和灌木植被中积累期长(5至7个月);(2) SPI到SSI的传播以及降水与径流的持续时间比在很大程度上受到气候和集水区控制的影响,即地质、海拔和土地覆盖,在年降水量高的集水区、火山可渗透的地质和农田中积累时间短,在年降雨量低的集水区中积累时间长,沉积岩和灌木丛;(3)年平均上游降水量对SPI向SSI的影响大于SPI向SSMI的影响。此外,HOA西部潮湿地区的降水积累期约为1至4个月,干旱地区的降水累积期约为5至7个月。这可以指导预测和管理工作,因为不同的干旱指标在不同地区具有重要意义。
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来源期刊
Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences 地学-地球科学综合
CiteScore
7.60
自引率
6.50%
发文量
192
审稿时长
3.8 months
期刊介绍: Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.
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