绘制沿海弹性:对绿色基础设施适用性的精确洞察力
Narcisa G Pricope1, Elijah G Dalton2
1Department of Geosciences, Mississippi State University, United States.
Journal of environmental management
|February 18, 2025
概括
一个新的基于云计算的绿色基础设施适用性指数 (GISI) 方法确定了绿色基础设施 (GI) 的最佳区域,以增强城市弹性和降低洪水风险. 住宅区显示出高度适合地理标志性区域的整合,促进生态系统和社区的弹性.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 地理空间分析的研究.
背景情况:
- 气候变化需要有效的洪水风险减缓和城市弹性战略.
- 绿色基础设施 (GI) 提供了一种有希望的方法来应对城市环境中的这些挑战.
- 现有的识别地理标志性适合性的方法可能缺乏灵活性和可扩展性,以适应不同的城市环境.
研究的目的:
- 引入和验证云计算绿色基础设施适用性指数 (GISI) 方法.
- 在一个大都会规划区内,在街道和景观层面绘制地理标志实施的适宜性.
- 为城市规划和可持续发展提供数据驱动的基础.
主要方法:
- 开发一个云计算的GISI方法,整合遥感和地理空间建模.
- 综合土地覆盖,生物物理变量和洪水暴露数据.
- 在北卡罗来纳州威尔明顿市区城市规划组织 (WMPO) 中应用GISI方法.
主要成果:
- 确定适合实施地理标志的地区,其中住宅地块占总量的91%.
- 在WMPO中,量化非常适合街道级GI (7.19%) 和景观级GI (1.88%) 的区域.
- 展示GISI方法的灵活性,稳定性和在不同地理环境中的可转移性.
结论:
- GISI方法提供了一个可扩展和适应的工具,用于识别最佳的地理标志位置,以增强城市的弹性.
- 将地理标志融入住宅城市景观可以显著增强生态系统和社区对气候变化影响的抵御力.
- 这些发现为可持续城市发展的地方和区域规划工作提供了可转移的,数据驱动的基础.
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