The changing characteristics of propagation time from meteorological drought to hydrological drought in a semi-arid river basin in India

IF 3.2 3区 地球科学 Q1 Environmental Science Hydrological Processes Pub Date : 2024-08-28 DOI:10.1002/hyp.15266
Ajay Gupta, Manoj Kumar Jain, Rajendra Prasad Pandey
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Abstract

This study employs an event-based approach to analyse drought propagation from meteorological to hydrological drought via agricultural drought in the semi-arid Krishna River basin of India. The Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Soil Moisture Index (SSMI) and Standardized Streamflow Index (SSI) representing meteorological, agricultural and hydrological drought, respectively, were estimated. Two different cases of drought propagation are analysed: meteorological-to-agricultural (SPEI-to-SSMI) and agricultural-to-hydrological (SSMI-to-SSI). The drought propagation is analysed using three-time matrices, namely the time difference between initiation ( t i 2 i $$ \Delta {t}_{i2i} $$ ), peak ( t p 2 p $$ \Delta {t}_{p2p} $$ ) and termination ( t t 2 t $$ \Delta {t}_{t2t} $$ ) at multiple timescales of 1, 3, 6, 9 and 12 months using different drought threshold values 0, −0.5, −1 and − 1.5, respectively, to delineate shifts from mild to extreme drought conditions in detail. The results indicate that the propagation time from SPEI-to-SSMI drought decreased for most of the tributaries using multiple timescales at different threshold values, whereas it increased significantly for SSMI-to-SSI drought. The drought propagation changes with respect to time as well as magnitude (intensity and severity). The propagation factor (PF), defined as the ratio of the average value of succeeding drought to preceding drought characteristics, has also been studied. For SPEI-to-SSMI drought, the duration PF shrinks across all tributaries using multiple timescales at different threshold values, whereas it expands for SSMI-to-SSI drought. On the other hand, the severity and intensity PF magnify for SPEI-to-SSMI drought, whereas it experiences dampening effects for SSMI-to-SSI drought. Thus, the proposed study provides valuable insights into drought propagation dynamics, aiding in managing and mitigating droughts in the semi-arid river basin and elsewhere.

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印度半干旱流域从气象干旱到水文干旱的传播时间变化特征
本研究采用基于事件的方法,分析印度半干旱的克里希纳河流域从气象干旱到农业干旱再到水文干旱的干旱传播过程。研究估算了分别代表气象干旱、农业干旱和水文干旱的标准化降水蒸散指数 (SPEI)、标准化土壤水分指数 (SSMI) 和标准化溪流指数 (SSI)。分析了两种不同的干旱传播情况:气象干旱到农业干旱(SPEI-to-SSMI)和农业干旱到水文干旱(SSMI-to-SSI)。使用三个时间矩阵分析干旱传播,即起始( ∆ t i 2 i $$ \Delta {t}_{i2i} $$)、峰值( ∆ t p 2 p $$ \Delta {t}_{p2p} $$)和终止( ∆ t p 2 p $$ \Delta {t}_{p2p} $$)之间的时间差。$$ )和终止( ∆ t t 2 t $$ \Delta {t}_{t2t} $$),在 1、3、6、9 和 12 个月的多个时间尺度上分别使用不同的干旱阈值 0、-0.5、-1 和 -1.5,以详细划分从轻度干旱到极端干旱的转变。结果表明,在不同阈值下使用多种时间尺度,大多数支流从 SPEI 干旱到 SSI 干旱的传播时间缩短,而从 SSMI 干旱到 SSI 干旱的传播时间显著增加。干旱传播随时间和程度(强度和严重程度)的变化而变化。我们还研究了传播因子 (PF),其定义为后继干旱特征的平均值与前继干旱特征的比值。对于 SPEI 到 SSMI 干旱,在不同阈值下使用多个时间尺度,所有支流的持续时间 PF 都会缩小,而对于 SSMI 到 SSI 干旱,PF 则会扩大。另一方面,SPEI-to-SSMI 干旱的严重性和强度 PF 放大,而 SSMI-to-SSI 干旱的严重性和强度 PF 出现抑制效应。因此,拟议的研究为干旱传播动力学提供了宝贵的见解,有助于管理和缓解半干旱流域和其他地区的干旱。
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来源期刊
Hydrological Processes
Hydrological Processes 环境科学-水资源
CiteScore
6.00
自引率
12.50%
发文量
313
审稿时长
2-4 weeks
期刊介绍: Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.
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