The regionalization of urban natural disasters in China

Wang, Jing ́ai; Shi, Peijun; Yi, Xiang; Jia, Hui; Zhu, Lai Yin

doi:10.1007/s11069-006-9102-1

Cited by 36 publications

(14 citation statements)

References 3 publications

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“…China is a typical monsoon climate country and is an agricultural country. The instability of monsoon climate leads to frequent flood and drought, causing 55% of total natural disasters loss in China [1,2]. Drought has become the key obstacle factor constraining China's agriculture and sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis

Jia

Pan

2016

Advances in Meteorology

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A wavelet transform technique was used to analyze the precipitation data for nearly 60 years (1954–2012) in Yunnan Province of China. The wavelet coefficients and the variance yield of wavelet were calculated. The results showed that, in nearly 60 years, the spring precipitation increased slightly; however, the linear trend of other seasonal and annual precipitations showed a reducing trend. Seasonal and annual precipitation had the characteristics of multiple time scales. Different time scales showed the different cyclic alternating patterns. Overall, in the next period of time, different seasons and the annual precipitation will be in the periods of precipitation-reduced oscillation; high drought disaster risks may occur in Yunnan province. Particularly, by analyzing large area of severe drought of Yunnan province in 2009–2012, the predicted results of wavelet were verified. The results may provide a scientific basis for guiding agricultural production and the drought prevention work for Yunnan Province and other places of China.

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Section: Introductionmentioning

confidence: 99%

Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis

Jia

Pan

2016

Advances in Meteorology

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“…In the rapid urbanization process of China, Beijing is the most attractive place in north China where population and industries consistently agglomerate, which has brought about large-scale urban expansion. Nonetheless, Beijing is located in disaster-prone areas (Wang, 2008). This situation brings many potential factors that could contribute to disasters, such as high population density, overcrowded and unsafe living environment, pollution and garbage, hazardous industries, under-developed and complicated lifeline system, environmental deterioration, poverty and inequality, and a huge temporary population (mostly consists of low-skilled migrant workers).…”

Section: Introductionmentioning

confidence: 99%

Assessing the Social and Economic Vulnerability of Urban Areas to Disasters: A case study in Beijing, China

Gao

Yuan

et al. 2014

IRSPSD International

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Abstract:For urban areas with complicated functions and facing rapidly increasing exposure to disaster risks, reducing vulnerability is the most effective way to alleviate damages and losses, which requires first and foremost precise assessment of the social and economic system's vulnerability. Considering the strong variations of social and economic factors by location and convenience for emergency management, it is very important to take small blocks as the basic spatial unit for vulnerability assessment. However, thus far appropriate evaluation method at such scale is quite inadequate in terms of theoretical framework, data acquisition method and analytical model. Taking Haidian district in Beijing as an example, a set of models was developed to solve these problems. Day and night population estimation model, population vulnerability assessment model, economic scale model, and economic vulnerability assessment model were designed to assess the population and economic vulnerability of urban areas. Results of the case study in Beijing demonstrated the population and economic vulnerability of each block in the study area, and suggested a difference between daytime and nighttime. The hotpots of high vulnerability were also identified and the land use characteristics and function agglomeration of these areas were discussed. Clearly, these results provided an important base for making effective disaster prevention plan and emergency management.

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“…Previous studies have focused on assessing disasters at the county level. Wang et al [31] evaluated multihazard intensity and the level of urbanization in China with county-level administrative regions as the basic unit and obtained urban natural disaster regionalization of the country. Shi et al [32] selected 12 major natural disasters in China and completed a comprehensive multi-hazard risk assessment and mapping based on county-level administrative units.…”

Section: Introductionmentioning

confidence: 99%

A Vulnerability Curve Method to Assess Risks of Climate-Related Hazards at County Level

Guo

Liu

et al. 2021

Atmosphere

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A comprehensive risk assessment of different types of natural disasters at the county level can promote quantitative disaster risk assessment and can provide a scientific basis for the formulation of disaster prevention measures. Focusing on climate-related hazards and based on natural disaster risk assessment theories and methods, this study integrates disaster statistics, meteorological data, geographic information, and other multivariate data to quantify the hazards of various disasters and the vulnerability and exposure of hazard-bearing bodies and conducts an integrated assessment of comprehensive risks of multiple climate-related hazards in Cangnan County, Zhejiang Province. Typhoon disaster risk is high in the central and northern parts of this county and low in its surroundings, with high-risk areas mainly distributed in Lingxi Town to the north. The comprehensive risk distribution patterns of drought and flood disasters in Cangnan County are similar: low in the south and high in the north. With the method of standard deviation, the comprehensive risk of multiple climate-related hazards in Cangnan County shows a distribution pattern of being low in the south and high in the north, with high risk in the northeast and low risk in the northwest and south.

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The regionalization of urban natural disasters in China

Cited by 36 publications

References 3 publications

Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis

Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis

Assessing the Social and Economic Vulnerability of Urban Areas to Disasters: A case study in Beijing, China

A Vulnerability Curve Method to Assess Risks of Climate-Related Hazards at County Level

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