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科威特的城市形态和气候脆弱性评估:利用深度神经网络增强的马尔科夫链模型进行时空预测分析,用于2050年和2100年
Walid Al-Shaar1, Xavier Lehmann2, Noha Saad1
1College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait.
PloS one
|August 18, 2025
概括
科威特科威特科威特科威特科威特科威特科威特科威特
科学领域:
- 城市规划和气候变化适应.
- 土地利用和土地覆盖动态的地理空间分析.
背景情况:
- 科威特城市的快速扩张为气候变化适应带来了重大挑战.
- 了解城市增长的驱动因素和模式对于可持续发展至关重要.
研究的目的:
- 调查科威特城市增长的时空动态.
- 用多层感知马尔科夫链模型 (MLPMCM) 评估气候变化脆弱性和预测土地利用变化.
主要方法:
- 利用了1985年,2005年和2022年的历史土地使用和土地覆盖 (LULC) 数据.
- 采用多层感知马尔科夫链模型 (MLPMCM) 进行LULC变化预测.
- 使用RCP 8.5场景和交叉引用评估气候脆弱性.
主要成果:
- 靠近海岸线,道路和商业区是城市扩张的关键驱动力.
- 预计城市规模将大幅增长,从2022年的819平方公里增加到2100年的1893平方公里.
- 预计到2100年,城市和沿海地区的温度将增加至17°C.
结论:
- 科威特的城市增长与气候变化影响密切相关.
- 适应性城市规划策略对于提高气候适应性至关重要.
- 提供了对面临快速城市化的干旱,富有石油的国家可持续发展的见解.
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