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Chapter 8 Climate Change and Future Prospects

requirements, enterprises are willing to invest in adopting these emerging technologies,
thereby promoting their market-oriented application and further research and development.
In terms of climate change adaptation, the increasing frequency of extreme climate
events has severely impacted infrastructure and socio-economic systems, urgently requiring
emerging technologies to provide solutions. In urban planning, to address disasters such as
sea level rise and torrential rain floods, emerging technologies like Geographic Information
Systems (GIS) and Virtual Reality (VR) are needed for urban disaster prevention and
mitigation planning. GIS technology enables comprehensive analysis of urban topography,
water systems, and population distribution, providing scientific basis for flood control facility
construction and evacuation route planning; VR technology can simulate disaster scenarios
to help decision-makers develop more effective response strategies. In agriculture, to adapt
to climate change-induced temperature increases and uneven precipitation, biotechnology
is required to cultivate stress-resistant crop varieties, along with precision agriculture
technologies to achieve scientific irrigation and fertilization, enhancing agricultural
production stability and adaptability. These technological demands drive the research,
development, and application of related emerging technologies, creating new market growth
areas.

III. R&D and Investment Trends of Emerging Technologies in Climate
Change Field

The research and development of emerging technologies in climate change mitigation
show vigorous momentum, with investment trends attracting significant attention. Capital
flows from venture capital, government funding, and other sources profoundly influence the
technological advancement process.
In terms of research developments, numerous research institutions and enterprises are
focusing on applied research of emerging technologies in the climate change field. In the in-
tersection of artificial intelligence and climate change, research priorities include developing
more accurate climate prediction models. By improving deep learning algorithms to better
process complex climate data, the accuracy of predicting future climate change trends can
be enhanced. In big data technology R&D, efforts concentrate on enhancing data processing
capabilities and the efficiency of analytical algorithms. Studies explore how to rapidly inte-
grate, clean, and analyze massive climate data, uncovering hidden patterns and correlations
to provide stronger data support for climate policy formulation and emission reduction im-
plementation. In biotechnology, R&D directions focus on cultivating plants and microorgan-
isms with special functions. For instance, developing plant varieties that can grow in harsh
environments such as drought and high temperatureswith carbon sequestration capabilitie-
sand microbial strains capable of efficiently converting biomass into biofuels.
From the perspective of investment trends, venture capital continues to increase its
focus on emerging technologies in the climate change field. Venture capital institutions

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