Advancing index-based climate risk assessment to facilitate adaptation planning: Application in Shanghai and Shenzhen, China

Tian, Zhan; Lyu, Xin-Yang; Zou, Huan; Yang, Haiguang; Sun, Lei; Pinya, Maria Sunyer; Chao, Qingchen; Feng, Ao; Smith, Ben

doi:10.1016/j.accre.2022.02.003

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Measures Based On Weather-related Losses1

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Cited by 7 publications

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“…This index focuses on the effect of climate change on infrastructural system in a particular city, facilitates assessment of the current and future climate resilience of these systems, and incorporates relevant adaptation policies. The later version by Tian et al (2022) entails more quantitative analysis and adaptation measures.…”

Section: Measures Based On Weather-related Lossesmentioning

confidence: 99%

Climate Risk Measures: A Review

Salisu

Oloko²

2023

Asian Economics Letters

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Section: Measures Based On Weather-related Lossesmentioning

confidence: 99%

Climate Risk Measures: A Review

Salisu

Oloko²

2023

Asian Economics Letters

View full text Add to dashboard Cite

show abstract

AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

et al. 2023

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Climate change is one of the most pressing global challenges we face today. The impacts of rising temperatures, sea levels, and extreme weather events are already being felt around the world and are only expected to worsen in the coming years. To mitigate and adapt to these impacts, we need innovative, data-driven solutions. Artificial intelligence (AI) has emerged as a promising tool for climate change adaptation, offering a range of capabilities that can help identify vulnerable areas, simulate future climate scenarios, and assess risks and opportunities for businesses and infrastructure. With the ability to analyze large volumes of data from climate models, satellite imagery, and other sources, AI can provide valuable insights that can inform decision-making and help us prepare for the impacts of climate change. However, the use of AI in climate change adaptation also raises important ethical considerations and potential biases that must be addressed. As we continue to develop and deploy these solutions, it is crucial to ensure that they are transparent, fair, and equitable. In this context, this article explores the latest innovations and future directions in AI-enabled climate change adaptation strategies, highlighting both the potential benefits and the ethical considerations that must be considered. By harnessing the power of AI for climate change adaptation, we can work towards a more resilient, sustainable, and equitable future for all.

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Combined impacts of aerosols and urbanization on a highly threatened extreme precipitation event in Beijing, China

Feng,

Yuan,

et al. 2024

Advances in Climate Change Research

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Advancing index-based climate risk assessment to facilitate adaptation planning: Application in Shanghai and Shenzhen, China

Cited by 7 publications

References 21 publications

Climate Risk Measures: A Review

Climate Risk Measures: A Review

AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

Combined impacts of aerosols and urbanization on a highly threatened extreme precipitation event in Beijing, China

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