An approach to characterise spatio-temporal drought dynamics

Diaz, Vitali; Perez, Gerald A. Corzo; Lanen, H.A.J. van; Solomatine, Dimitri; Varouchakis, Emmanouil A.

doi:10.1016/j.advwatres.2020.103512

Cited by 75 publications

(28 citation statements)

References 21 publications

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“…They found that SPEI using Penman-Monteith equations slightly shows severe drought than Thorn Thwaite equations. Diaz et al (2020), study drought tracks using gird data from SPEI in India from 1901 to 2013, and they found the severity, duration, onset, and end positions track of the drought. Beharry et al (2019) studied to build baseline scenarios of meteorological droughts using SPI Index for the southernmost Caribbean islands of Trinidad and Tobago from 1980 to 2014.…”

Section: Introductionmentioning

confidence: 99%

Meteorological Drought in Northwestern Escarpment of Ethiopian Rift Valley: detection seasonal and spatial trends

et al. 2021

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Background The Northwestern Escarpment of the Ethiopian Rift Valley has been frequently affected by droughts for decades. The area is among the most drought-prone and chronically food-insecure parts of the country. The study areas that include the Raya Valley livelihood Zone (RVLZ), Alagie-Offla livelihood Zone (ALOFLZ), and Tsirare Catchment Livelihood Zones (TCLZ) are amongst the most vulnerable and badly affected livelihood zones in the Northwestern Escarpment of the Ethiopian Rift Valley. Hence, this study aimed to monitor the meteorological drought conditions of the three LZs from 1983 to 2016 using the Standardized Precipitation Evapotranspiration Index (SPEI) at three months’ time scale. Both monthly Climate Hazards Group InfraRed Precipitations with Station data (CHIRPS) and Enhancing National Climate Service (ENACTS) temperature data (1983–2016) at moderate spatial resolution (i.e. 4 km-by-4 km) were obtained from the National Meteorological Agency of Ethiopia. Results This study uncovers seasonally recurring droughts that vary in severity, frequencies, and durations within and between the livelihood zones. The results indicated that severe drought occurred in all livelihoods zone of the study area from years 1983 to 1991, while ALOFLZ and TCLZ have recorded relatively higher drought severity. From 1989 to 2016, the severity and frequency of droughts were increased during the Belg (small rain) season but decreased in Kiremt (summer). In most of the study years, there have been Belg or Kiremt or both drought seasons in the study areas. The severity and frequencies of Kiremt drought in this study were higher from 1983 to 1991, better 1993–1998, and mildly to moderate drought from 2000 to 2016. As the frequencies and persistence of mild drought have increased, the intensity and precipitation amount are too small to cultivate crops and forage growth. This problem needs special considerations on the current moisture harvesting system and afforestation practices to reduce natural and human-induced drought impacts. Conclusions Studying drought with long recorded meteorological data from a large number and uniformly distributed meteorological grids in small scale livelihood zones had great implications to identify the real trends of spatiotemporal meteorological drought. This enabled the researchers to investigate the real drought frequencies, severity, and durations in small scale areas. The study will support to improve the existing drought monitoring system and to build resilience to drought at the household level. The finding also will have a significant contribution to early warning systems, particularly at district levels. Ended, it needs to consider solutions for short and long drought impacts. The agricultural sector should consider the long-cycle crop growth patterns to reduce crop failures and forage problems.

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Section: Introductionmentioning

confidence: 99%

Meteorological Drought in Northwestern Escarpment of Ethiopian Rift Valley: detection seasonal and spatial trends

et al. 2021

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“…These characteristics include duration and severity (magnitude), among others. Then, based on the drought severity, the drought events are categorized into four: low (L), moderate (M), severe (S), and extreme (E) [9,[48][49][50], as indicated in Table 2. To finalize the calculation of droughts and their characteristics, the probability of occurrence of each drought category is also calculated.…”

Section: Drought Hazard Index (Dhi)mentioning

confidence: 99%

“…These characteristics are duration (D D ), severity (D S ), intensity (D I ), and frequency (D F ). The drought characteristics are computed for each drought category considering the thresholds shown in Table 2, similar to [9,[48][49][50]. A drought starts as the Drought Index (DI) value falls below the threshold and ends when this value rises above the threshold again [9,51].…”

Section: Drought Characteristicsmentioning

confidence: 99%

“…For example, in the last century and the beginning of the present, from 1900 to 2019, drought has affected around three billion people, causing more than 11 million deaths, and triggered global economic losses of $1.75 × 10 12 [8]. In the last decades, significant advances have been made in drought monitoring and characterization, particularly those where drought is conceptualized as an event that changes in space and time [9,10]. The improved methodologies for drought characterization can be explored to develop spatio-temporal approaches to drought risk assessment.…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor

Khoshnazar

Corzo

Diaz

2021

JMSE

Self Cite

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Drought characterization and risk assessment are of great significance due to drought’s negative impact on human health, economy, and ecosystem. This paper investigates drought characterization and risk assessment in the Lempa River basin in Central America. We applied the Standardized Evapotranspiration Deficit Index (SEDI) for drought characterization and drought hazard index (DHI) calculation. Although SEDI’s applicability is theoretically proven, it has been rarely applied. Drought risk is generally derived from the interactions between drought hazard (DHI) and vulnerability (DVI) indices but neglects resilience’s inherent impact. Accordingly, we propose incorporating DHI, DVI, and drought resilience index (DREI) to calculate drought risk index (DRI). Since system factors are not equally vulnerable, i.e., they are heterogeneous, our methodology applies the Analytic Hierarchy Process (AHP) to find the weights of the selected factors for the DVI computation. Finally, we propose a geometric mean method for DRI calculation. Results show a rise in DHI during 2006–2010 that affected DRI. We depict the applicability of SEDI via its relationship with El Nino-La Nina and El Salvador’s cereal production. This research provides a systematic drought risk assessment approach that is useful for decision-makers to allocate resources more smartly or intervene in Drought Risk Reduction (DRR). This research is also useful for those interested in socioeconomic drought.

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“…As drought proceeds over a long term unlike other natural disasters, its damage can be significantly mitigated if it is detected earlier, or even while in progress. Therefore, scientists have tried to establish drought countermeasures suitable for different regions, based on identifying the temporal characteristics and spatial distribution of the drought [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Assessment of Agricultural Drought Using a Cell-Based Daily Soil Water Analysis Model

김

Bae

Jang

2020

Water

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This study developed a cell-based daily soil water analysis model (CellSW) for evaluating agricultural drought and calculated an agricultural drought index called the “Rainfall Effectiveness Index for Crop” (REIC). The model analyzed a daily soil water balance based on crop types, growth stages, soils, and climate. It adopted the rasterized daily rainfall, daily evapotranspiration, crop coefficient (by crop growth stage), and root depth as input parameters; it also consecutively generated the daily surface layers of the water balance items in each cell, such as the consumptive use, effective rainfall, available soil water, and irrigation requirements. The model was applied in a test area in Illinois and Iowa, targeting corn and soybeans; the soil water balance was analyzed during the growing period from 2000 to 2018. The model calculated the seasonal REIC, defined as the ratio of supply quantity (effective rainfall) to demand quantity (crop evapotranspiration). In addition, the accumulated REIC values were estimated. The REIC was confirmed to accurately reflect drought situations in the relevant areas, based on comparisons with drought records. The cell-based model can be applied to different types of cultivated crops, growth stages, and soil conditions without spatial and temporal limitations, even in mixed farming.

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An approach to characterise spatio-temporal drought dynamics

Cited by 75 publications

References 21 publications

Meteorological Drought in Northwestern Escarpment of Ethiopian Rift Valley: detection seasonal and spatial trends

Meteorological Drought in Northwestern Escarpment of Ethiopian Rift Valley: detection seasonal and spatial trends

Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor

Spatiotemporal Assessment of Agricultural Drought Using a Cell-Based Daily Soil Water Analysis Model

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