Assessment of meteorological disasters based on information diffusion theory in Xinjiang, Northwest China

Mei-hua, WU; Chen, Yaning; Xu, Chong‐Yu

doi:10.1007/s11442-015-1154-2

Cited by 12 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study adopts information diffusion theory to estimate the forest fire risk in provinces in China. In recent decades, information diffusion theory risk has been widely used for the risk assessment of natural disasters [58][59][60]. It applies fuzzy information to deal with samples combined with associated diffusion functions [61,62].…”

Section: Risk Assessment Based On Information Diffusion Theorymentioning

confidence: 99%

RETRACTED: The Temporal-Spatial Distribution and Information-Diffusion-Based Risk Assessment of Forest Fires in China

2021

Sustainability

View full text Add to dashboard Cite

As forest fires are becoming a recurrent and severe issue in China, their temporal-spatial information and risk assessment are crucial for forest fire prevention and reduction. Based on provincial-level forest fire data during 1998–2017, this study adopts principal component analysis, clustering analysis, and the information diffusion theory to estimate the temporal-spatial distribution and risk of forest fires in China. Viewed from temporality, China’s forest fires reveal a trend of increasing first and then decreasing. Viewed from spatiality, provinces characterized by high population density and high coverage density are seriously affected, while eastern coastal provinces with strong fire management capabilities or western provinces with a low forest coverage rate are slightly affected. Through the principal component analysis, Hunan (1.33), Guizhou (0.74), Guangxi (0.51), Heilongjiang (0.48), and Zhejiang (0.46) are found to rank in the top five for the severity of forest fires. Further, Hunan (1089), Guizhou (659), and Guanxi (416) are the top three in the expected number of general forest fires, Fujian (4.70), Inner Mongolia (4.60), and Heilongjiang (3.73) are the top three in the expected number of large forest fires, and Heilongjiang (59,290), Inner Mongolia (20,665), and Hunan (5816) are the top three in the expected area of the burnt forest.

show abstract

Section: Risk Assessment Based On Information Diffusion Theorymentioning

confidence: 99%

RETRACTED: The Temporal-Spatial Distribution and Information-Diffusion-Based Risk Assessment of Forest Fires in China

2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…In the Greater Metropolitan Severe Thunderstorm Warning Area of New South Wales, a significant decreasing trend in the frequency and associated magnitude (size) of hail events was identified during 1989-2013 (Rasuly et al, 2015). In China, Xie et al (2010) reported that the long-term trend of hailstorm size in four regions of China was statistically insignificant for the period of 1980-2005, but Wu et al (2015 found an increasing trend in the frequency and intensity of hailstorms in Xinjiang, Northwest China, during the period from 1949 to 2012. In the central-eastern Italian Alps, Eccel et al (2012) found that the size of hailstorms had increased, though the frequency or cumulative hit surface showed no significant change over a number of years.…”

Section: Discussionmentioning

confidence: 99%

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

Shi

Wen

Cui³

2016

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The spatial and temporal characteristics of the frequencies of four types of high-impact weather (HIW), i.e. snowfall, thunderstorms, fog and hailstorms, were analysed in China during . Results indicate a significant decrease in the number of snowfall days, thunderstorm days and thunderstorm spells in all six regions of China, with regional decreasing rates of 0.1-3.4 days, 1.6-5.1 days and 0.23-0.77 times per decade respectively. The number of foggy days, hailstorm days and snowfall spells decreased at rates of 0.2-1.8 days, 0.1-0.7 days and 0.14-0.44 times per decade respectively in almost all regions and fog and hailstorm spells decreased at rates of 0.06-0.17 and 0.001-0.043 times per decade respectively in most regions of China. Spatially, there was more snowfall in northeastern China and western China, and more thunderstorms in southern China and southwestern China. The number of fog events was larger in some high mountain stations, eastern China and central China. Hailstorms were concentrated on QinghaiTibet Plateau. Over the past 56 years, snowfall days, thunderstorm days and thunderstorm spells decreased in most parts of China, and hailstorm days decreased in northeastern China, most parts of northern China and Tibet, southern Qinghai and western Sichuan. The spatial trends of foggy days, foggy spells, snowfall spells and hailstorm spells were not significant in most parts of China. With global warming, some types of HIW are likely to increase in their intensities, so more mitigation and adaptation strategies are still essential for local government and the public in China.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Shi¹,

Wen²,

Cui³

2015

Preprint

View full text Add to dashboard Cite

Abstract. The spatial and temporal characteristics in the frequencies of four types of high-impact weathers (HIWs), i.e. snowfall, thunderstorm, foggy and hailstorm weathers were analyzed in China by using daily weather phenomenon data from 604 stations. Results indicate that snowfall, thunderstorm, foggy and hailstorm days showed significant decreasing trends with rates of 2.5, 2.6, 0.8 and 0.5 days per decade respectively, and snowfall, thunderstorm, foggy and hailstorm weather processes decreased significantly at rates of 0.3, 0.4, 0.1 and 0.1 times per decade during 1959–2014. Spatially, snowfall weathers were more in northeastern and western China, and thunderstorm weathers were more in southern and southwestern China. Foggy weathers were more in some high mountain stations, eastern China and central China, and hailstorm weathers were concentrated on Qinghai–Tibet Plateau. Over the past 56 years, snowfall days, thunderstorm days and thunderstorm weather processes decreased in most parts of China, with decreasing rates of 1.0–6.0 days, 1.5–8.0 days and 0.2–1.0 times per decade respectively. Hailstorm days decreased in northeastern China and most parts of northern and western China at a rate of 0.2–4.5 days per decade. The spatial trends of foggy days, foggy weather processes and snowfall weather processes were not significant in most parts of China. With climate change and rapidly economic development, more policies and strategies of reducing social vulnerabilities and/or exposures to HIWs are essential for the government and social publics.

show abstract

Assessment of meteorological disasters based on information diffusion theory in Xinjiang, Northwest China

Cited by 12 publications

References 12 publications

RETRACTED: The Temporal-Spatial Distribution and Information-Diffusion-Based Risk Assessment of Forest Fires in China

RETRACTED: The Temporal-Spatial Distribution and Information-Diffusion-Based Risk Assessment of Forest Fires in China

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

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

Contact Info

Product

Resources

About