The temporal and spatial evolution of natural disasters in China

Guo, Naijing; Ren, Yujie; Tang, Xiaolan

doi:10.1007/s10708-018-9934-8

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…Our study revealed that SDG13 (climate action) in Southwest China and SDG4 (quality education) in Northeast China had typically changed from passive to active relations in the synergy network. This finding confirmed that climate actions could reduce the economic losses of disasters and contribute to achieving other SDGs (Guo et al, 2019). In addition, accelerating education development can help to stimulate employment, raise incomes, and advance the progress of other SDGs (Vladimirova and Le Blanc, 2016).…”

Section: Discussionsupporting

confidence: 65%

Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China

Cao

Chen

Zhang

et al. 2023

Humanit Soc Sci Commun

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Extensive efforts have been dedicated to deciphering the interactions associated with Sustainable Development Goals (SDGs). However, these developments are hampered by a lack of efficient strategies to avoid beneficial synergies being offset by harmful trade-offs. To fill these gaps, we used causal diagnosis and network analysis methods to construct 1302 directed networks of SDGs for 31 provinces in China from 2000 to 2020. We observed a dramatic offsetting effect of SDG synergies and trade-offs in China from 2000 to 2020, with approximately 27% of trade-off indicator pairs turning into synergies and about 25% of the synergy indicator pairs turning into trade-offs. However, our findings suggested that prioritising the progress of high-frequency indicators in virtuous cycles could multiply the positive systemic effects of the SDGs. Moreover, controlling the transition from passive to active in the trade-off network of SDGs remains a challenge in advancing the SDGs holistically.

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Section: Discussionsupporting

confidence: 65%

Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China

Cao

Chen

Zhang

et al. 2023

Humanit Soc Sci Commun

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“…Various technologies have been proposed to avoid disasters and efficiently provide relief when catastrophes occur. For sudden-onset disasters (e.g., floods, hurricanes, earthquakes), remote-sensing technologies have been applied to investigate regional geological hazards (Varnes, 1984), determine the likelihood of varying degrees of flooding (Apel et al, 2004), predict changes in precipitation and hurricane intensity (Knutson & Tuleya, 2004), and assess affected areas (Guo et al, 2019)., Modern technologies can also support humanitarian relief in the case of non-sudden disasters such as disease epidemics (Wilson et al, 2019). During the COVID-19 pandemic, technologies such as the Internet of Things (IoT), artificial intelligence, and 5G were deployed for data gathering and analysis (Lee et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Exploring blockchain for disaster prevention and relief: A comprehensive framework based on industry case studies

Treiblmaier

Rejeb

2023

J of Business Logistics

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Blockchain technology has been suggested as a groundbreaking solution for disaster prevention and relief. However, there is a dearth of both practical applications and systematic academic research into how those existing blockchain solutions actually help to prevent disasters and/or alleviate their negative impacts. The purpose of this paper was to extend previous research by investigating existing blockchain solutions using a rigorous multiple case study approach. Based on stakeholder theory, a structured framework is developed that examines the roles of key stakeholders in disaster situations, illustrates organizations' motivations to deploy blockchain technology, identifies various use cases, lists the relevant blockchain properties, and highlights contingency factors for successful implementations. The findings demonstrate that blockchain applications can improve both disaster prevention as well as disaster relief efforts by streamlining information flows and augmenting the capabilities of core stakeholders. Furthermore, numerous propositions can be derived from the framework that can be used as starting points for further in‐depth investigations. This study familiarizes practitioners with blockchain's potential for disaster management and provides academics with a theory‐based foundation for future research.

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“…The reason why natural disasters attract people's attention is that their occurrence usually causes relatively serious economic losses, and their losses and impacts also show a rising trend in recent years under the environmental changes 3 . For example, earthquake, rainstorm, drought and other natural disasters with large impact scope and deep impact usually cause direct economic losses to the place where they occur, which are specifically manifested in land and building damage.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Distribution of Earthquake Disasters in Qinghai Province of China Based on GIS

Sun

Liu

et al. 2023

E3S Web of Conf.

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Qinghai Province is located in the northwest part of China, is part of Qinghai-Tibet Plateau, its special location, abnormal climate, is the frequent occurrence of earthquake disaster area. Under the background of global climate change, earthquake disaster research in Qinghai province is of great significance for ecological protection and disaster prevention. In this paper, the data of earthquake disaster with MS ≥ 5 in Qinghai Province from 1960 to 2022 are collected statistically, and the risk grade distribution map of earthquake disaster is made by using GIS technology with the county and city as the unit. The spatial and temporal distribution law of earthquake disaster is illustrated from the distribution of earthquakes over the years and the annual occurrence frequency. The results show that the earthquake disasters in Qinghai Province are mainly concentrated in the northwest and southwest areas, the central and northern areas are also relatively high distribution, among which Geermu city and Yushu City are more affected. In terms of time, earthquake disasters occurred frequently from 1990 to 2010, and the frequency of disasters decreased slightly from 2010 to 2020, but in the past two years, the geological activity is more frequent, and the disaster incidence is high.

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The temporal and spatial evolution of natural disasters in China

Cited by 8 publications

References 7 publications

Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China

Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China

Exploring blockchain for disaster prevention and relief: A comprehensive framework based on industry case studies

Spatio-Temporal Distribution of Earthquake Disasters in Qinghai Province of China Based on GIS

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