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使用人工智能的城市设计和污染:对中国城市发展的影响

Xinyue Zheng¹, Zhenya Ma², Zhao Yuang³

¹Engineer Faculty, The University of Sydney, Sydney, 2008, Australia.

|September 27, 2024

概括

城市设计中的人工智能可以帮助减少中国城市的污染. 人工智能工具确定了为清洁空气和更可持续的城市环境制定有效策略.

科学领域:

环境科学环境科学
城市规划城市规划
人工智能的人工智能

背景情况:

中国城市的空气污染,特别是颗粒物 (PM2.5和PM10),显示出高度,在2014-2017年间达到顶峰.
2017年后污染水平的下降表明,改进的法规或COVID-19流行病等全球事件的潜在影响.
污染水平表现出复杂的相互关系,PM2.5与其他污染物 (PM10,NO2,SO2,CO) 之间存在中度到强烈的正相关性,但O3并非如此.

研究的目的:

探索人工智能 (AI) 在城市设计中的作用,以减少中国城市的污染.
研究人工智能驱动的城市规划工具的应用,以创造可持续,高效和功能性的城市环境.
分析各种空气污染物之间的相关性和因果关系,了解它们对城市空气质量的影响.

主要方法:

分析历史空气质量数据,包括PM2.5,PM10,NO2,SO2,CO和O3度.
统计分析以确定不同污染物之间的相关性.
分析因果关系,以了解污染物水平之间的预测关系.

主要成果:

污染水平,特别是PM2.5和PM10,在2014-2017年间达到峰值,随后下降.
在PM2.5和PM10,NO2,SO2和CO之间发现了显著的正相关性,这表明共享的来源或同时发生.
在几个污染物对中观察到双向因果关系,突出显示了污染动态中的复杂相互作用.

结论:

城市设计中的人工智能对于确定有效的减少污染的战略至关重要.
人工智能驱动的规划可以有助于在中国建设更加可持续和功能化的城市环境.
了解污染物相互关系是有针对性的环境干预的关键.

关键词:

人工智能的人工智能是人工智能.碳排放排放碳排放排放排放时间序列分析时间序列分析.城市地区的城市区域.武汉武汉武汉武汉武汉

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