Economic development and declining vulnerability to climate-related disasters in China

Wu, Jidong; Han, Guoyi; Zhou, Hongjian; Li, Ning

doi:10.1088/1748-9326/aaabd7

Cited by 62 publications

(48 citation statements)

References 41 publications

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“…The loss of livelihood was worst in Bemina (50%) as the residents owned many shops/business units in the vicinity which were completely damaged affecting them occupationally. Livelihood affects people occupationally and it comprises the assets that determine the living gained by the individual/household [31,32]. The renovation works were carried in Rajbagh on a large scale (66%) as it was worst hit during the floods, making it a necessity to initiate the restoration works at an earliest.…”

Section: Resultsmentioning

confidence: 99%

Socio-economic and Health Impacts of Floods in a Trans-Himalayan Ecosystem

Mr¹,

Qadri²,

Bhat³

2018

J Geogr Nat Disast

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The present study aims to explore the aftermath of the September 2014 floods in some areas of Srinagar. A questionnaire based survey was conducted in three severely impacted areas of Srinagar (Bemina, Rajbagh, Shivpora). Although there were no cases of bereavement but majority of the families suffered huge loss of economy. However, Bemina suffered from huge loss of livelihood (50%) as compared to other study areas. As the flood fury was believed to occur almost after 100 years, the pre-preparedness was not thus well executed. Post flood health problems were primarily caused due to contact with the contaminated water, growth of mould and dampness in buildings resulting in physical injuries, acute illness (gastro intestinal problems, skin infections, respiratory problems), chronic diseases (hyper tension, asthma, diabetes) and ill mental health (agitated behaviour, depression, anxiety, sleeplessness, suicidal thoughts, upsetting thoughts/dreams and over smoking).

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Section: Resultsmentioning

confidence: 99%

Socio-economic and Health Impacts of Floods in a Trans-Himalayan Ecosystem

Mr¹,

Qadri²,

Bhat³

2018

J Geogr Nat Disast

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“…Vulnerability is a combination of the susceptibility of a given system to the hazard and the ability to recover from hazards. Different indicators of vulnerability have been used in the literature (Peduzzi et al 2012;Jongman et al 2015;Tanoue et al 2016;Wu et al 2018). Here, we use the share of damaging events and damage per event to understand recent changes in vulnerability, given the limitation of data availability.…”

Section: Discussionmentioning

confidence: 99%

“…We use this indicator to partly reflect regional vulnerability to hazards, which is consistent with Peduzzi et al (2012) assuming that the ratio of people killed to the total number of people exposed would be higher in vulnerable regions than in less vulnerable areas. Similar definition of vulnerability concept has also been adopted by Wu et al (2018) and Tanoue et al (2016); (5) annual fatality; and (6) annual injury.…”

Section: Impact Metrics and Analysismentioning

confidence: 99%

Recent changes in vulnerability and responses of economic and human systems to major extreme weather hazards in the United States

Zhou

Leng

et al. 2020

Geomatics, Natural Hazards and Risk

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Reducing the impacts and risk of weather hazards requires better knowledge of the regions that are most affected in terms of economic damage, fatality and injury. While understanding of weather hazards has greatly improved, regional vulnerability to weather hazards of various types has not been well assessed in the United States. Through a compilation of event-based records of eight types of weather hazards for 1996-2016 at the national, regional and state levels, our analysis shows large differences in the change trends in economic damage, fatality and injury caused by drought, coastal flood, hail and wildfire, demonstrating the inconsistent responses of economic and human systems to weather hazards of various types at the state level. Despite a general increase in annual occurrences, spatial analysis shows that vulnerability to tornado and hail has decreased significantly in most of the country. Our results have great implications for adaptation and mitigation strategies, through identifying the vulnerable regions and types of hazards that require more urgent efforts for reducing economic and human losses. It is, however, important to keep in mind that the results may depend on the records, indicators and time periods used for the analysis. GRAPHICAL ABSTRACTThe spatial differences in different economic impacts induced by weather hazards of various types. The figure shows the regions that are most vulnerable to each type of hazards in terms of annual mean damage and individual mean damage. ARTICLE HISTORYIdentification and spatial distribution of dominant weather hazards according to (a) annual mean damage and (c) individual mean damage (i.e. DPE) at the state level for the period 1996-2016. The mean damage values and variances of the corresponding dominant hazard in (a) and (c) are illustrated in the (b) and (d), respectively.

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“…Specifically, two groups of metrics are defined (Table 1): (1) Annual total occurrences (i.e., the number of records in the database) and the ratio of events with tangible impacts (i.e., with recorded damages greater than zero) to total number of events experienced in a specific region. This indicator can be used to reflect regional vulnerability to hydrological hazards, which is similar to that adopted in for example, Peduzzi et al [38], Wu et al [39] and Lamond et al [3]. However, we acknowledge that the assets exposed to the hazards are not explicitly considered due to data limitations.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, Peduzzi et al [38] assumed that the share of people killed to the total number of people exposed to tropical cyclone would be higher in vulnerable regions than in less vulnerable areas. Similar definition of vulnerability was adopted by for example, Wu et al [39], Yasari et al [30], and Philip et al [32], based on reported losses as a share of exposed GDP/assets or reported fatalities as a share of exposed population.…”

Section: Introductionmentioning

confidence: 99%

Recent Changes in the Occurrences and Damages of Floods and Droughts in the United States

Zhou

Leng

Peng

2018

Water

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Abstract:In this study, we compile and analyse 136,920 records of flood and 50,967 records of drought from a survey-based database to investigate recent changes in annual occurrence and economical cost in the United States. Results show that an average of 6520 floods has occurred per year during 1996-2016, with annual mean economic losses up to 3986 million US dollars, while 2427 drought events/year are recorded causing an average loss of 1684 million US dollars per year. Importantly, we found there is no evident changing tendency in annual economic damages of floods and droughts, despite an upward trend in their annual occurrences. This could be partly explained by changes in regional vulnerabilities, as indirectly reflected by the ratio of damaging events to total number of events experienced and the average damage per event. Spatially, vulnerability to droughts has decreased in most of the country, while increased vulnerability to floods is observed in a number of states. Despite limitations from the records and incomplete characterization of vulnerability, this study has great implications for targeted mitigation and adaptation, through identifying the regions that are most vulnerable to floods and droughts respectively and highlighting the contrasting patterns in regional vulnerability to floods and droughts.

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Economic development and declining vulnerability to climate-related disasters in China

Cited by 62 publications

References 41 publications

Socio-economic and Health Impacts of Floods in a Trans-Himalayan Ecosystem

Socio-economic and Health Impacts of Floods in a Trans-Himalayan Ecosystem

Recent changes in vulnerability and responses of economic and human systems to major extreme weather hazards in the United States

Recent Changes in the Occurrences and Damages of Floods and Droughts in the United States

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