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Global Climate Change and Its Impacts

alleviate range anxiety among electric vehicle users, and promote the popularization of elec-
tric vehicles. Beyond electric vehicles, developed countries will actively explore the devel-
opment of hydrogen fuel cell vehicles. Utilizing renewable energy to electrolyze water for
hydrogen production will provide clean and efficient energy solutions for the transportation
sector. Some regions have already begun pilot projects to build hydrogen refueling stations
for fuel cell vehicles, with certain public transportation and logistics vehicles adopting hy-
drogen fuel cell technology. As the technology matures and costs decrease, hydrogen fuel
cell vehicles are expected to play a significant role in the transportation sector.
(2) Application Prospects of Emerging Technologies
Emerging technologies demonstrate exceptionally broad application prospects in devel-
oped countries’ future practices for combating climate change.
Artificial Intelligence (AI) technology will play a central role in climate prediction,
energy management, and resource optimization. In climate prediction, AI enables rapid
and precise analysis of massive climate data from multi-source channels such as satellite
monitoring and ground weather stations. Traditional climate models face limitations in
prediction accuracy due to constraints in data processing capabilities and algorithms.
By leveraging AI’s deep learning algorithms, more accurate simulations and predictions
of complex climate systems can be achieved. For instance, AI can identify complex
patterns and trends in climate data, predict the probability and impact range of extreme
climate events in advance, and provide more accurate foundations for governments and
enterprises to formulate scientific climate policies and response strategies. In the field of
energy management, AI can monitor the operational status of energy systems in real time.
By collecting data from sensors installed across energy production, transmission, and
consumption stages, AI systems can analyze energy demand fluctuations across different
periods and intelligently dispatch energy supplies. Within smart grids, AI automatically
adjusts power distribution based on real-time electricity demand and generation conditions,
optimizing grid operational efficiency and reducing energy transmission losses. In large-
scale industrial enterprises, AI enables real-time monitoring and optimized control of
energy-consuming equipment. By analyzing production workflows and equipment operating
conditions, it intelligently adjusts energy inputs to enhance energy utilization efficiency,
reduce energy consumption, and Carbon Emissions.
Blockchain technology inCarbon Tradingmarket will bring about significant transfor-
mations. Carbon Trading market serves as a crucial mechanism for greenhouse gas emission
reduction through market forces, but traditionalCarbon Tradingsystems face issues such as
opaque data and complex transaction processes. Blockchain technology, with its decentral-
ized and tamper-proof characteristics, can effectively address these challenges. InCarbon
Trading, blockchain enables real-time recording and verification of carbon emission data,
ensuring authenticity and reliability. Once enterprises’ carbon emission data is recorded on
the blockchain, it becomes immutable, guaranteeingCarbon Tradingfairness and credibility.

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