Synoptic conditions of the formation of a catastrophic flood on the Amur River in 2013

Semenov, E. K.; Sokolikhina, N. N.; Tatarinovich, Ekaterina; Tudrii, K. O.

doi:10.3103/s1068373914080032

Cited by 12 publications

(3 citation statements)

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“…In addition to its transboundary location, the Amur River basin can be characterized by contrasts between other geographic aspects: Russia and Asia; continental and monsoon climates; and southern dense and northern sparse populations. The climate of eastern Amur basin is humid monsoon temperature climate, which impact can reach the northernmost latitude on earth (Semenov et al, 2014;Yu et al, 2013). The climate of areas in the west of this basin (upper reach of the Amur River) is sheltered from monsoon influence and arid.…”

Section: Study Areamentioning

confidence: 99%

Evaluation of Spatiotemporal Characteristics of Precipitation Extremes Variations in Amur River Basin

Bo¹

2019

Appl. Ecol. Env. Res.

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Between 25th July and 19th August 2013, Amur River basin received some of its most extreme precipitation on record. The floods caused by the heavy rain brought affected Amur River and its 4 major tributaries. Hailun and Hailar stations break daily maximum precipitation record with 153.6 mm in 30th July, and 85.8 mm in 27th July, respectively. Based on daily precipitation observations at 25 stations from 1954 to 2014, the trends, periodicities and abrupt changes of five extreme precipitation indices in Amur River basin were investigated to the Spatiotemporal Characteristics of the extreme precipitation. Areaaveraged annual total wet-day precipitation (PRCPTOT), maximum 1-day precipitation amount (Rx1day), maximum 5-day precipitation amount (Rx5day), very wet days (R95) and extremely wet days (R99) had non-significant trends. By wavelet analysis for annual PRCPTOT, Rx1day, Rx5day, R95 and R99 series, the real part wavelet phase of main periods were mostly located at positive peaks in 2013, which were corroborated by abrupt change analysis. Multi-cycle superimposition of main periods is possibly the main cause for extreme precipitation in 2013. The record-breaking daily precipitation data improve 100-year recurrence interval (111.47 mm) to 130.61 mm in Hailun and raise 100-year recurrence interval from 78.95 mm to 87.91 mm in Hailar.

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Section: Study Areamentioning

confidence: 99%

Evaluation of Spatiotemporal Characteristics of Precipitation Extremes Variations in Amur River Basin

Bo¹

2019

Appl. Ecol. Env. Res.

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“…They analyzed nearly 60 years of precipitation data from 25 meteorological stations in the basin, calculated the trends of extreme indices using the Mann-Kendall test, and explored the spatiotemporal characteristics of extreme precipitation events through wavelet transform analysis of extreme indices. Semenov E. K. et al [15] utilized data on basin runoff, air temperature, atmospheric pressure, and precipitation to create maps of air cyclones and pressure trends in the basin. They analyzed the causes of the 2013 flood in the Amur River Basin.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Meteorological Element Variation Characteristics in the Heilongjiang (Amur) River Basin

Yue,

Yu,

Miao

et al. 2024

Water

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Located in the Heilongjiang (Amur) River in north-east Asia, spanning four countries, plays a crucial role as an international border river, and its meteorological changes significantly impact the variation in water resources in the basin. This study utilizes daily average temperature and precipitation data from 282 meteorological stations in the Heilongjiang (Amur) River Basin and its surrounding areas for the period 1980–2022. The analysis employs spatial interpolation, change point testing, and model construction prediction methods. The results indicate a significant increasing trend in both overall temperature and precipitation changes within the Heilongjiang (Amur) River Basin. At the spatial scale, the annual warming rate increases gradually from the southeastern coastal region to the northwestern plateau region, while the rate of precipitation increase decreases from the southern area towards its surroundings. Temporally, the warming amplitude during the growing season decreases gradually from east to west, and the trend in precipitation changes during the growing season aligns with the overall annual precipitation trend. During the non-growing season, the warming trend shows a decrease in the plains and an increase in the plateau, while precipitation increase concentrates in the central and southern plains, and precipitation decrease predominantly occurs in the northwestern plateau region. Temperature and precipitation change points occurred in the years 2001 and 2012, respectively. In precipitation prediction, the Long Short-Term Memory (LSTM) model exhibits higher accuracy, with R (Pearson correlation coefficient) and NSE (Nash-Sutcliffe efficiency coefficient) values approaching 1 and lower NRSME values. This study provides a research foundation for the rational development and utilization of water resources in the Heilongjiang (Amur) River Basin and offers valuable insights for research on climate change characteristics in large transboundary river systems.

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“…Intensive and prolonged rainfall caused extreme flooding in the basin of the Amur River during summer and autumn 2013, resulting in inundation of large areas in Far Eastern Russia and Northeastern China. Almost the entire Amur River Basin suffered from this catastrophe that, to date, has not appeared in the records, even though both the discharge and water levels exceeded the maximal recorded levels (Semenov et al, 2014). The extent and frequency of extreme flood events have been increasing in many regions worldwide because of changes in global climate (Famiglietti and Rodell, 2013;Woodruff et al, 2013), and have had a considerable influence on outputs of major and trace elements (such as iron) and dissolved organic matter (DOM) (Goodwell et al, 2014;Yang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Variations of dissolved iron in the Amur River during an extreme flood event in 2013

et al. 2016

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As a key factor limiting primary productivity in marine ecosystem, dissolved iron (DFe) export from fluvial systems has increased recently. There is particular concern about discharges of DFe during extreme flooding, when they are thought to increase considerably. An extreme flood event that caused inundation of extensive areas of Far Eastern Russia and Northeastern China occurred in the basin of the Amur River during summer and autumn 2013. During this event, water samples were collected in the middle reaches of the Amur River and the lower reaches at Khabarovsk City and analyzed for DFe concentrations and other aquatic parameters. The results show that the average DFe concentrations in the middle reaches of the Amur River (right bank) and at Khabarovsk were 1.11 mg/L and 0.32 mg/L, respectively, during the extreme flood in 2013. The total discharge of DFe during the flood event was 6.25 × 10 4 t. The high discharge of DFe during the flood reflects the elevated discharge of the river, hydrologically connected riparian wetlands, vast quantities of terrestrial runoff, and flood discharges from the Zeya and Bureya reservoirs. These results show that long-term monitoring is needed to identify and assess the impacts of DFe transport on the downstream reaches, estuarine area, and coastal ecosystems of the Amur River.

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Synoptic conditions of the formation of a catastrophic flood on the Amur River in 2013

Cited by 12 publications

References 0 publications

Evaluation of Spatiotemporal Characteristics of Precipitation Extremes Variations in Amur River Basin

Evaluation of Spatiotemporal Characteristics of Precipitation Extremes Variations in Amur River Basin

Analysis of Meteorological Element Variation Characteristics in the Heilongjiang (Amur) River Basin

Variations of dissolved iron in the Amur River during an extreme flood event in 2013

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