Study of the temporal and spatial patterns of drought in the Yellow River basin based on SPEI

Wang, Fei; Wang, Zongmin; Yang, Haibo; Zhao, Yong

doi:10.1007/s11430-017-9198-2

Cited by 115 publications

(69 citation statements)

References 26 publications

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“…The results of the ranking of drought intensity in seasons that showed the highest frequency of spring drought on the Loess Plateau were consistent with the conclusions of relevant studies [35,36]. According to the research on drought frequency of the Yellow River basin [24], the seasonal ranking of drought intensity was consistent; however, the ranking of drought frequency is summer > spring > autumn > winter partially differs from the conclusion of this study. On the one hand, this could be ascribed to the different number and location of selected meteorological stations; on the other hand, these results are inconsistent with the research period and scope.…”

Section: Discussionsupporting

confidence: 90%

“…SPEI combines the advantages of PDSI and SPI, and is extremely sensitive to temperature, which exerts a large impact on drought, and can more objectively express the surface dry-wet change based on the difference between precipitation and evapotranspiration. Therefore, it is suitable for the study of drought characteristics in the context of the warming of the Loess Plateau [24,25]. Consequently, this study selected the SPEI as the index to measure the drought in the Loess Plateau, analyzed the spatial and temporal pattern of drought over the last 60 years from multiple time scales, and predicts the future drought development trend based on Hurst index.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau

Xie

Qin

et al. 2019

Sustainability

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The Loess Plateau is located at the transition zone between agriculture and livestock farming; its spatial and temporal pattern of drought is the key for an appropriate adaptation to climate change. This study investigated monthly meteorological observation data of 79 meteorological stations from 1955 to 2014 to calculate the standardized precipitation evapotranspiration index at different time scales. The spatial and temporal characteristics and persistence of drought were analyzed. The results showed the following: (i) The drought trend is most apparent in spring (0.096/10a) and lower in summer (0.036/10a) and autumn (0.009/10a). (ii) A higher drought level indicates a lower frequency of droughts occurrence and vice versa. The frequency of light drought was highest (11.36%), while that of extreme drought was lowest (0.12%). (iii) The mean drought intensity was highest in summer, followed by spring, autumn, and winter. The drought intensity was mainly light, showing a pattern of severe drought in the northwest and light drought in the southeast. (iv) The Loess Plateau will continue a trend of drought in the future, but the season of the continuous intensity will differ. Droughts in spring and summer are highly persistent, autumn drought trends continue but may slow, and winter droughts become random events.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau

Xie

Qin

et al. 2019

Sustainability

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“…Drought was aggravating in the YRB from 1961 to 2015, and became more serious after the 1990s. In recent years, the precipitation showed a downward trend (−5.123 mm/10a, P = 0.262), and the temperature showed an upward trend (0.316 • C/10a, P = 0.001) in the YRB [53,54]. Especially since the 1990s, the rise of temperature has accelerated significantly.…”

Section: Discussionmentioning

confidence: 99%

“…Drought showed an upward trend in spring, summer and autumn, while in winter drought showed a downward trend. The reason was that winter was the only season in which precipitation increases (0.293 mm/10a), resulting in a slightly decline trend of drought in winter [53,60]. Liu et al investigated that the spatial and temporal distribution of precipitation was uneven in different seasons in the YRB [61].…”

Section: Discussionmentioning

confidence: 99%

“…Specific drought mitigation measures should be put forward in each subzone. In spring, irrigation and moisture conservation should be implemented during the critical growth period of spring wheat in HL [53]. In summer, since the minimum annual precipitation occurred in LH, water-saving irrigation and artificial rainfall should be carried out [62].…”

Section: Discussionmentioning

confidence: 99%

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Copula-Based Drought Analysis Using Standardized Precipitation Evapotranspiration Index: A Case Study in the Yellow River Basin, China

Wang

Yang

et al. 2019

Water

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Drought is a complex natural phenomenon that occurs throughout the world. Analyzing and grasping the occurrence and development of drought events is of great practical significance for preventing drought disasters. In this study, the Standardized Precipitation Evapotranspiration Index (SPEI) was adopted as a drought index to quantitatively analyze the temporal evolution, spatial distribution, and gridded trend characteristics of drought in the Yellow River basin (YRB) during 1961–2015. The duration and severity of drought events were extracted based on run theory, and the best-fitted Copula models were used to combine the drought duration and severity to analyze the drought return period. The results indicated that: (1) the drought showed a non-significant upward trend in the YRB from 1961 to 2015, and drought events became more serious after the 1990s; (2) the month and season with the most serious drought was June and summer, with an average SPEI value of −0.94 and −0.70; (3) the seasons with an increasing drought trend were spring, summer, and autumn; (4) the most serious drought lasted for 16 months in the YRB, with drought severity of 12.44 and drought return period of 115.18 years; and (5) Frank-copula was found to be the best-fitted one in the YRB. The research results can reveal the evolution characteristics of drought, and provide reference and basis for drought resistance and reduction in the YRB.

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Association Between Hydrological Conditions and Dengue Fever Incidence in Coastal Southeastern China From 2013 to 2019

Wang²,

Yan

et al. 2023

JAMA Netw Open

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ImportanceDengue fever is a climate-sensitive infectious disease. However, its association with local hydrological conditions and the role of city development remain unclear.ObjectiveTo quantify the association between hydrological conditions and dengue fever incidence in China and to explore the modification role of city development in this association.Design, Setting, and ParticipantsThis cross-sectional study collected data between January 1, 2013, and December 31, 2019, from 54 cities in 4 coastal provinces in southeast China. The Standardized Precipitation Evapotranspiration Index (SPEI) was calculated from ambient temperature and precipitation, with SPEI thresholds of 2 for extreme wet conditions and −2 for extreme dry conditions. The SPEI–dengue fever incidence association was examined over a 6-month lag, and the modification roles of 5 city development dimensions were assessed. Data were analyzed in May 2022.ExposuresCity-level monthly temperature, precipitation, SPEI, and annual city development indicators from 2013 to 2019.Main Outcomes and MeasuresThe primary outcome was city-level monthly dengue fever incidence. Spatiotemporal bayesian hierarchal models were used to examine the SPEI–dengue fever incidence association over a 6-month lag period. An interaction term between SPEI and each city development indicator was added into the model to assess the modification role of city development.ResultsIncluded in the analysis were 70 006 dengue fever cases reported in 54 cities in 4 provinces in China from 2013 to 2019. Overall, a U-shaped cumulative curve was observed, with wet and dry conditions both associated with increased dengue fever risk. The relative risk [RR] peaked at a 1-month lag for extreme wet conditions (1.27; 95% credible interval [CrI], 1.05-1.53) and at a 6-month lag for extreme dry conditions (1.63; 95% CrI, 1.29-2.05). The RRs of extreme wet and dry conditions were greater in areas with limited economic development, health care resources, and income per capita. Extreme dry conditions were higher and prolonged in areas with more green space per capita (RR, 1.84; 95% CrI, 1.37-2.46). Highly urbanized areas had a higher risk of dengue fever after extreme wet conditions (RR, 1.80; 95% CrI, 1.26-2.56), while less urbanized areas had the highest risk of dengue fever in extreme dry conditions (RR, 1.70; 95% CrI, 1.11-2.60).Conclusions and RelevanceResults of this study showed that extreme hydrological conditions were associated with increased dengue fever incidence within a 6-month lag period, with different dimensions of city development playing various modification roles in this association. These findings may help in developing climate change adaptation strategies and public health interventions against dengue fever.

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Study of the temporal and spatial patterns of drought in the Yellow River basin based on SPEI

Cited by 115 publications

References 26 publications

Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau

Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau

Copula-Based Drought Analysis Using Standardized Precipitation Evapotranspiration Index: A Case Study in the Yellow River Basin, China

Association Between Hydrological Conditions and Dengue Fever Incidence in Coastal Southeastern China From 2013 to 2019

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