Spatial and temporal characteristics of droughts in Central Asia during 1966–2015

Guo, Hao; Bao, Anming; Li, Shipeng; Jiapaer, Guli; Ndayisaba, Felix; Jiang, Liangliang; Kurban, Alishir; Maeyer, Philippe De

doi:10.1016/j.scitotenv.2017.12.120

Cited by 241 publications

(162 citation statements)

References 110 publications

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“…Drought Peak (DP) is the lowest value reached by the index throughout the run's duration. The spatiotemporal drought properties are explored by calculating various drought event indices based on the identified drought events in each region following the methodology of [18]. The arithmetical mean of drought duration, severity, intensity, and peak is used to compare different zones.…”

Section: Drought Characterizationmentioning

confidence: 99%

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Spatio-Temporal Variability of Drought in Pakistan Using Standardized Precipitation Evapotranspiration Index

et al. 2019

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Featured Application:The following research has a potential to provide a scientific basis for the management of drought mitigation strategies. The trends in drought characteristics in each zone throughout the study period can help decision-makers with more information on resource planning. The identification of contiguous zones with similar drought characteristics across Pakistan is the first step towards developing an integrated and holistic policy to minimize the impacts of droughts. This study will help achieve this goal.Abstract: Pakistan is among the top ten countries adversely affected by climate change. More specifically, there is concern that climate change may cause longer and severer spells of droughts. To quantify the change in the characteristics of droughts in Pakistan over the years, we have evaluated spatio-temporal trends of droughts in Pakistan over the period 1902-2015 using Standardized Precipitation Evapotranspiration Index (SPEI). Additionally, the Spatial "K" luster Analysis using Tree Edge Removal (SKATER) method was employed to regionalize droughts into five contiguous zones. The run theory was then applied to each zone to identify drought events and characterize them in terms of duration, severity, intensity, and peak. Moreover, the Modified Mann-Kendall trend test was applied to identify statistically significant trends in SPEI and drought characteristics in each zone. It was found that the southern areas of Pakistan, encompassing Sindh and most of Baluchistan, have experienced a decrease in SPEI, indicating a drying trend. Central Pakistan has witnessed a wetting trend as demonstrated by an increase in SPEI over time, whereas no statistically significant trend was observed for the northern areas of Pakistan. On a zonal basis, the longest duration drought to occur in Pakistan lasted 22 months in zone 5 (Sindh) from 1968 to 1970. In addition, the droughts of 1920 and 2000 can be said to be the worst drought in the history of the region as it affected all the zones and lasted for more than 10-months in three zones.

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Section: Drought Characterizationmentioning

confidence: 99%

“…The arithmetical mean of drought duration, severity, intensity, and peak is used to compare different zones. Several studies have used the run theory for the identification and characterization of droughts [18,19,21,23,41].…”

Section: Drought Characterizationmentioning

confidence: 99%

Spatio-Temporal Variability of Drought in Pakistan Using Standardized Precipitation Evapotranspiration Index

et al. 2019

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“…In addition, the PET data in CRU is calculated based on the Penman-Monteith equation, which is the most accurate PET equation. Recent studies [25,26] suggested that the CRU dataset is applicable and satisfactory for hydrometeorological studies in Central Asia.…”

Section: Data Collectionmentioning

confidence: 99%

Variation in Runoff of the Arys River and Keles River Watersheds (Kazakhstan), as Influenced by Climate Variation and Human Activity

et al. 2019

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Runoff formation is a complex meteorological-hydrological process impacted by many factors, especially in the inland river basin. In this study, long-term (1960–2015) river runoff and climate data in the Arys and Keles River watersheds (Kazakhstan) were gathered to analyze the impacts of climate variation and human activity on runoff. The non-parametric Kendall test and the Pettitt test were used to identify trends and change points in the time data series. It was found that both watersheds had significant upward trends in temperature and potential evapotranspiration data, and insignificant upward trends in the runoff. Change points in annual runoff were identified around the year 1973. The hydrological sensitivity method was employed to evaluate the impacts of climate variation and human activity on mean annual runoff based on precipitation and potential evapotranspiration. It was found that the decline in annual runoff over both catchments can be mainly attributed to human activity, the reduction percentages due to human activities range from 59% to 99%. The results of this study can provide a reference for the development and water management of the regional water resources.

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“…To detect the relationship between EHFs and climate indices in the time-frequency domain, the cross-wavelet transform method was introduced into the research, which can be utilised to investigate the consistency and correlation of the two series at different timescales. Details of the calculation procedure of cross-wavelet transform method are well presented in previous studies (Guo et al, 2018b;Li et al, 2018b). The CWT toolbox for MATLAB is available at http://www.glaciology.net/ wavelet-coherence.…”

Section: Cross-wavelet Transform Methodsmentioning

confidence: 99%

Assessing spatiotemporal variation of heat waves during 1961–2016 across mainland China

Guo

Wang

Bao

2019

Intl Journal of Climatology

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Heat waves (HWs) are one of the current topics of scientific research in the context of global warming, as they can have a disastrous impact on both environment and society. Therefore, detailed studies of variations of HWs that assess variability on spatiotemporal scales are becoming increasingly necessary.The main objective of this study is to detect and analyse variation in HWs and potential climate drivers across China based on Köppen climate classifications. Daily observation data (maximum and minimum temperature) from 1961 to 2016 were used in the study to define HWs based on excess heat factors (EHFs). Linear trend analysis, Bayesian change-point analysis, cross-wavelet

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Spatial and temporal characteristics of droughts in Central Asia during 1966–2015

Cited by 241 publications

References 110 publications

Spatio-Temporal Variability of Drought in Pakistan Using Standardized Precipitation Evapotranspiration Index

Spatio-Temporal Variability of Drought in Pakistan Using Standardized Precipitation Evapotranspiration Index

Variation in Runoff of the Arys River and Keles River Watersheds (Kazakhstan), as Influenced by Climate Variation and Human Activity

Assessing spatiotemporal variation of heat waves during 1961–2016 across mainland China

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