Classification of yearly extreme precipitation events and associated flood risk in the Yangtze-Huaihe River Valley

Xie, Z.; Yin, Dulin; Zeng, Yan; Miao, Qi

doi:10.1007/s11430-017-9212-8

Cited by 32 publications

(27 citation statements)

References 27 publications

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“…With the global hydrological cycle accelerating subsequently in the background of climate warming [1], extreme climate events have become more frequent [2], which has a significant impact on human society and even causes serious losses to people's lives and property [3][4][5]. Correspondingly, extreme events and related societal impacts are becoming an increasingly interesting area and has also attracted great attention, especially in the field of meteorology [6].…”

Section: Introductionmentioning

confidence: 99%

Multiscale Spatio-Temporal Changes of Precipitation Extremes in Beijing-Tianjin-Hebei Region, China during 1958–2017

et al. 2019

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In this study, based on daily precipitation records during 1958–2017 from 28 meteorological stations in the Beijing-Tianjin-Hebei (BTH) region, the spatio-temporal variations in precipitation extremes defined by twelve indices are analyzed by the methods of linear regression, Mann-Kendall test and continuous wavelet transform. The results showed that the spatial patterns of all the indices except for consecutive dry days (CDD) and consecutive wet days (CWD) were similar to that of annual total precipitation with the high values in the east and the low value in the west. Regionally averaged precipitation extremes were characterized by decreasing trends, of which five indices (i.e., very heavy precipitation days (R50), very wet precipitation (R95p), extreme wet precipitation (R99p), max one-day precipitation (R × 1day), and max five-day precipitation (R × 5day)) exhibited significantly decreasing trends at 5% level. From monthly and seasonal scale, almost all of the highest values in R × 1day and R × 5day occurred in summer, especially in July and August due to the impacts of East Asian monsoon climate on inter-annual uneven distribution of precipitation. The significant decreasing trends in annual R×1day and R×5day were mainly caused by the significant descend in summer. Besides, the possible associations between precipitation extremes and large-scale climate anomalies (e.g., ENSO (El Niño Southern Oscillation), NAO (North Atlantic Oscillation), IOD (Indian Ocean Dipole), and PDO (Pacific Decadal Oscillation)) were also investigated using the correlation analysis. The results showed that the precipitation extremes were significantly influenced by ENSO with one-year ahead, and the converse correlations between the precipitation extremes and climate indices with one-year ahead and 0-year ahead were observed. Moreover, all the indices show significant two- to four-year periodic oscillation during the entire period of 1958–2017, and most of indices show significant four- to eight-year periodic oscillation during certain periods. The influences of climate anomalies on precipitation extremes were composed by different periodic components, with most of higher correlations occurring in low-frequency components.

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Section: Introductionmentioning

confidence: 99%

Multiscale Spatio-Temporal Changes of Precipitation Extremes in Beijing-Tianjin-Hebei Region, China during 1958–2017

et al. 2019

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“…Flooding is a major threat to many cities worldwide and will also continue to pose more significant threats to developing countries. In China, floods have caused about 37.2% of economic losses and about 11.7% of the death toll of all meteorological disasters (Xie et al 2018 ). As an example, the severe flooding which struck the Yangtze River region in 1998 has affected 223 million people, led to 3704 deaths and 44 billion USD in damage (Qin et al 2015 ).…”

Section: Introductionmentioning

confidence: 99%

“…Future scenarios of high risks from floods should receive more attention; as such, improving the reliability of integrated flood risk management practices has been recognized as a significant part of establishing a resilient society in China (Xie et al 2018 ). Risk perception is an important part of disaster risk management and determines whether risk management is successful in reducing vulnerability (Bubeck et al 2012 ).…”

Section: Introductionmentioning

confidence: 99%

Understanding risk perception from floods: a case study from China

Gao

Wang

et al. 2021

Nat Hazards

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“…Over eastern China, flood‐related heavy Meiyu precipitation events (HMPEs) generally last about 3–7 days and extend zonally from several hundred kilometers to several thousand kilometers across eastern China to southern Japan (Yang et al, 2016). They have a low frequency of occurrence but tend to trigger severe flood disasters over the Yangtze–Huaihe Basin owing to their long duration, large area, and high rainfall (Xie et al, 2018). For many years, the mechanisms of HMPEs have been topics of research on the East Asian summer monsoon.…”

Section: Introductionmentioning

confidence: 99%

Spatial Scales of Heavy Meiyu Precipitation Events in Eastern China and Associated Atmospheric Processes

Yin

Xie

Miao

2020

Geophysical Research Letters

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Analysis of ground‐based and remotely retrieved precipitation data reveals that heavy Meiyu precipitation events (HMPEs) produce a relatively independent rain belt over eastern China. A rotating calipers algorithm is applied to quantify the spatial scales of HMPEs. We find that HMPEs have regular spatial scales with an average length, width, and extent of about 1,400 km, 500 km, and 40.00 × 104 km2, respectively, through a comprehensive assessment of different types of HMPE, illustrating that HMPEs have a size similar to that of the subsynoptic‐scale Meiyu front (1,500–2,000 km). Convective activities along the Meiyu front zone and the upper westerly jet stream strongly affect the position and orientation of rain belts of HMPEs. The Meiyu front zone, strong vertical motions, and large transport of warm moisture have a comparable spatial scale to the HMPE rain belts over eastern China.

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Classification of yearly extreme precipitation events and associated flood risk in the Yangtze-Huaihe River Valley

Cited by 32 publications

References 27 publications

Multiscale Spatio-Temporal Changes of Precipitation Extremes in Beijing-Tianjin-Hebei Region, China during 1958–2017

Multiscale Spatio-Temporal Changes of Precipitation Extremes in Beijing-Tianjin-Hebei Region, China during 1958–2017

Understanding risk perception from floods: a case study from China

Spatial Scales of Heavy Meiyu Precipitation Events in Eastern China and Associated Atmospheric Processes

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