Analysis of historical drought and flood characteristics of Hengshui during the period 1649–2018: a typical city in North China

Sun, Jiaqi; Wang, Xiaojun; Yin, Yixing; Shahid, Shamsuddin

doi:10.1007/s11069-021-04769-8

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…The duration of the long period was 71, those of the intermediate periods were 21 and 9 years, and those of the short periods were 5, 3.7, and 3.6 years. The results were consistent with the historical data, i.e., during this period, disasters had periodic characteristics of 3-5, 20, and 70 years [41], which were influenced by the cyclical changes in the solar activity cycle and the cycle of the El Nino Southern Oscillation (ENSO) [42,43]. The SDs of the duration of the PDSI 38 in all periods decreased from 59, 40, 12, 3.6, 1.3, and 1.0 years (from the first step to the sixth step, respectively), indicating that the difference in the duration of each period in the long period was the largest; the difference was only one year for each period in the short period.…”

Section: Change In the Duration Of The Pdsi 38 In All Periodssupporting

confidence: 87%

Dry–Wet Changes in a Typical Agriculture and Pasture Ecotone in China between 1540 and 2019

Wang,

Song,

et al. 2024

IJGI

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Exploring periodic dry–wet changes is an important topic in climate change research due to its impact on drought and flood disasters. The purpose of this research was to determine the occurrence law of dry–wet changes in China on a scale of several hundred years, using the example of transitional zones. In this study, we analyzed typical areas of the ecotone between agricultural land and pasture along the Great Wall of China. The ring width index of Carya cathayensis was fitted with the March–August Palmer drought severity index (PDSI38). The PDSI38 was divided into different periods using the stepwise function fitting method. The results indicated that there were two dry periods and one wet period in the region from 1543 to 2019. In each dry and wet period, there were also different temporal periods, including long (decades), intermediate (ten years), and short periods (several years). Drought represents a significant threat to agricultural production in China. In the first dry period (1543–1756), four periods with low PDSI38 values (1633–1635, PDSI38 = −1.71; 1636–1939, PDSI38 = −3.35; 1640–1642, PDSI38 = −4.68; and 1643–1645, PDSI38 = −2.92) occurred, during which severe droughts (PDSI38 < −4) lasted for 13 years. The dry–wet change showed the characteristics of a 12-year or multiple 12-year cycle. The results can be used to prepare to effectively address extreme drought scenarios worldwide in the future.

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Section: Change In the Duration Of The Pdsi 38 In All Periodssupporting

confidence: 87%

Dry–Wet Changes in a Typical Agriculture and Pasture Ecotone in China between 1540 and 2019

Wang,

Song,

et al. 2024

IJGI

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Spatial and temporal evolution characteristics and causes of drought and flood in the Henan section of the Yellow River

Tao

Qiao

et al. 2022

Nat Hazards

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Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China

Wang

Tang

et al. 2022

Atmosphere

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Extreme precipitation could result in many disasters, such as floods, drought, and soil erosion, further bringing severe economic loss. Based on the daily precipitation records during 1960–2019 of 26 stations obtained from the National Meteorological Science Data Center of China, 10 extreme precipitation indices (EPIs: annual total precipitation (PRCPTOT), max-1-day precipitation amount (RX1day), max-5-day precipitation amount (RX5day), number of heavy rain days (R10), number of very heavy rain days (R10), simple daily intensity index (SDII), consecutive dry days (CDD), continued wet days (CWD), very wet days (R95p) and extremely wet days (R99p)) were chosen and used to analyze the spatial-temporal variation of extreme precipitation within Hubei province, China, which is an important industrial and agricultural base in China. Finally, the correlation between El Niño-Southern Oscillation and EPIs was analyzed by cross-wavelet analysis. Results showed that the annual EPIs varied obviously during 1960–2019, and CWD decreased significantly (p < 0.05). The chosen EPIs were higher in eastern and southwestern Hubei compared to other regions, and RX1day, RX5day, R95p, and R99p were increased in most regions. The spatial-temporal variations of spring and summer EPIs were more obvious than those on an annual scale. In summer, all EPIs except CDD should increase in the near future. More attention should be paid to Wuhan, Enshi, and Macheng, where the RX1day, RX5day, R95p, and R99p will increase in these regions. Finally, the RX1day and R10 were positively correlated with MEI (p < 0.05), while the RX5day, CDD, CWD, and R99p were negatively correlated with MEI (p < 0.05). The extreme precipitation events within Hubei were affected by the El Niño-Southern Oscillation. The results could provide a possible driving factor for precipitation prediction and natural hazard prevention within Hubei province, China.

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Analysis of historical drought and flood characteristics of Hengshui during the period 1649–2018: a typical city in North China

Cited by 3 publications

References 24 publications

Dry–Wet Changes in a Typical Agriculture and Pasture Ecotone in China between 1540 and 2019

Dry–Wet Changes in a Typical Agriculture and Pasture Ecotone in China between 1540 and 2019

Spatial and temporal evolution characteristics and causes of drought and flood in the Henan section of the Yellow River

Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China

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