Patterns and trends of high-impact weather in China during 1959–2014

Shi, Jun; Wen, Kuo‐Liang; Cui, Linli

doi:10.5194/nhess-16-855-2016

Cited by 16 publications

(13 citation statements)

References 42 publications

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“…Given the natural geography and climate, the whole of China was further divided into six regions, i.e. northwest China (NWC), north China (NC), northeast China (NEC), the mid‐lower Yangtze River valley (YR), south China (SC) and southwest China (SWC), which is in line with other work (Xu et al ., ; Shi et al ., ) and is shown in Figure . For analysing the temporal variations of growing season parameters in each region, the regional average GSS, GSE and GSL were calculated in each year using the simple average method based on the number of stations in the six regions of China.…”

Section: Methodsmentioning

confidence: 99%

Temporal and spatial variations of the thermal growing season in China during 1961–2015

Cui

Shi

2017

Meteorological Applications

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Based on the daily mean air temperature at 1863 meteorological stations over China from 1961 to 2015, the temporal and spatial tendencies in the growing season parameters (the start date of the growing season, GSS; the end date of the growing season, GSE; and the length of the growing season, GSL) for 0, 3, 5 and 10 °C temperature thresholds were investigated; the results showed that in the past 55 years GSL exhibited a significant extending trend at speeds of 1.5–5.0 days per 10 years in most areas of northwest China (NWC), north China (NC), northeast China (NEC) and western southwest China (SWC). The extension of GSL was attributed to an earlier GSS at a rate of 1.5–3.0 days per 10 years in most areas of NEC and NC and some parts of NWC and SWC, and a later GSE at speeds of 1.0–2.0 days per 10 years in most of NWC and northern SWC and some parts of NEC and northwestern NC. The extending trend of the GSL was prominent in northern and western China relative to southern China. The temporal variations in the regional average growing season parameters were different for four temperature thresholds and in six regions. In general, the regional GSL (GSS, GSE) was extended (advanced, delayed) continuously during 1961–2015 or had no significant trend before about 1980 and then extended (advanced, delayed) continuously. The temporal variations of the GSE were weaker than those of the GSS in most regions.

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Section: Methodsmentioning

confidence: 99%

Temporal and spatial variations of the thermal growing season in China during 1961–2015

Cui

Shi

2017

Meteorological Applications

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“…East China as an important source region of atmospheric Hg in China [31,32], constituting approximately 20% of the total emissions [33]. The highest annual surface air total gaseous Hg of > 3 ng/m 3 as simulated in a model [34] and the highest concentration of total gaseous Hg being 3.3 ng/m 3 were observed in this region [18,33]. The high mean Hg concentration in southeast China such as the Yangtze River Delta region was mainly caused by occasional long-distance transport from domestic source regions and regional anthropogenic emissions due to the rapid economic development which relied heavily on coal combustion for electricity generation [8,33].…”

Section: Mercury Input From Wet Precipitationmentioning

confidence: 99%

Mercury distribution in the surface soil of China is potentially driven by precipitation, vegetation cover and organic matter

Zhang

Lei

et al. 2020

Preprint

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Background: Understanding the mechanism of Hg accumulation in soil, which is a net Hg sink, at a national scale is important to protecting the environment and improving food safety. The mercury (Hg) distribution in surface soil in China is quite uneven, with relatively high concentrations in southeastern China and low concentrations in northwestern China. The reason for this distribution is inconclusive, especially at the continental scale. In this study, the relative contributions of the key impact factors, including dry and wet deposition, soil organic matter (SOM) and solar radiation to soil Hg, were evaluated.Results: Wet and dry deposition associated with precipitation and vegetation cover and emissions influenced by SOM are key factors controlling Hg distribution in surface soil. In southeastern China, high levels of wet deposition associated with the South Asia monsoon and dry deposition, enhanced by vegetation canopies, together with low levels of emissions caused by highly vegetated surfaces and solar radiation, are responsible for the high Hg levels in soil (>0.08 mg/kg). In northeastern China, moderate levels of wet Hg deposition, high levels of dry deposition via throughfall and litterfall, low emissions due to weak solar radiation and high levels of SOM are responsible for high Hg accumulation in soil. In northwestern China, low levels of wet deposition, together with high emissions levels, low vegetation cover (bare soil) and SOM and strong solar radiation, contributed to the low Hg level in the surface soil (<0.03 mg/kg).Conclusions: We suggest that wet deposition derived from the Asian monsoon, dry deposition linked to vegetated surfaces and Hg emissions associated with vegetation cover, SOM and solar radiation play key roles in the soil Hg level in China. In other terrestrial environments worldwide, especially in regions with significantly high levels of wet deposition and high amounts of vegetation cover and soil SOM, high Hg concentrations may exist in surface soil.

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“…In recent years, due to global warming and the intensification of human activities, meteorological disasters (such as floods, droughts, hurricanes, extreme heat or cold, snowstorms, etc.) in many countries have become more frequent [4][5][6][7]. These disasters pose a serious threat to people's life and property security, agricultural production, water resources and ecosystems [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, East China is one of the most densely populated and economically concentrated regions in China [16]. Meteorological disasters and secondary disasters have caused huge economic losses to East China, and caused extensive social impacts and public concerns [5,20,21]. The trend analysis of meteorological disaster is essential for regional disaster prevention and mitigation [12].…”

Section: Introductionmentioning

confidence: 99%

Interannual Variation and Hazard Analysis of Meteorological Disasters in East China

Shi¹,

Cui²,

Shen³

2020

JRACR

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Keywords Meteorological disaster interannual variation hazard analysis East China A B S T R A C TBased on the historical data of meteorological disasters in East China during 2004-2015, the overall characteristics, interannual variations and the hazards of meteorological disasters in different provinces of East China were analyzed. The results indicated that flood disaster (including landslide and mud-rock flow) induced by rainstorms had caused the largest affected area and total failure area of crops, and also caused the largest number of affected people and collapsed houses. Strong convection weather (including gale, hail, thunder and lightning) disaster resulted in the largest number of deaths and typhoon disaster caused the greatest direct economic losses. There were significant decreasing trends in the affected area and the total failure area of crops, and the number of affected people and deaths during 2004-2015, while the direct economic loss caused by meteorological disasters showed no significant trend in East China. The hazards of meteorological disasters had obvious regional differences. In the northern part of East China, the hazards of drought and strong convection weather disasters were higher, but in the southern part, there were higher hazards of flood disaster. In the eastern coastal areas of East China, the hazards of typhoon disaster were higher. Hazard analysis of meteorological disasters has important significances for disaster prevention and mitigation, risk management and crisis response.

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Patterns and trends of high-impact weather in China during 1959–2014

Cited by 16 publications

References 42 publications

Temporal and spatial variations of the thermal growing season in China during 1961–2015

Temporal and spatial variations of the thermal growing season in China during 1961–2015

Mercury distribution in the surface soil of China is potentially driven by precipitation, vegetation cover and organic matter

Interannual Variation and Hazard Analysis of Meteorological Disasters in East China

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