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GI格局影响区域气温的尺度效应和空间分异特征——基于天津市的实证
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作者 李沐寒 陈天 +2 位作者 王梓懿 李含嫣 唐爽 《中国园林》 CSCD 北大核心 2024年第3期126-131,共6页
绿色基础设施为应对气候变化提供了一种基于自然的解决方案,尤其在调节区域气温方面发挥着重要作用。既有关于绿色基础设施与区域气候关联性的研究主要关注规模数量对全局尺度气候因子的影响,对尺度变化及其空间异质性的讨论不足。以天... 绿色基础设施为应对气候变化提供了一种基于自然的解决方案,尤其在调节区域气温方面发挥着重要作用。既有关于绿色基础设施与区域气候关联性的研究主要关注规模数量对全局尺度气候因子的影响,对尺度变化及其空间异质性的讨论不足。以天津市为例,综合运用景观生态学和地理加权回归分析方法,在测度研究区绿色基础设施格局的基础上,深入探讨了绿色基础设施格局影响区域气温的尺度效应和空间作用规律。结果表明:1)绿色基础设施格局能够显著影响区域气温,且随着尺度增加各项格局指数与区域气温的相关程度均呈现先增大后减小的趋势,并在7km×7km尺度下达到峰值;2)各项格局指数与区域气温的相关程度整体上为面积类指数>聚集类指数>密度类指数>形状类指数;3)各项格局指数与区域气温的相关性具有空间非稳定性特征,其中半城市化地区的区域气温更易受到格局变化的影响。最后,提出以乡镇(街道)为单元的GI格局分区优化措施,以期为气候适应性规划设计和各类相关政策的制定提供科学指导。 展开更多
关键词 风景园林 绿色基础设施(GI) GI格局 热岛效应 城市区域气温 空间分异 天津
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Regional warming induced by urban surface expansion in Shanghai
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作者 ZHAO De-Ming WU Jian 《Atmospheric and Oceanic Science Letters》 CSCD 2018年第3期228-235,共8页
To detect the impacts of urban surface expansion on surface air temperature at 2-m(SAT) in Shanghai, China, nested numerical integrations based on satellite-derived urban data between the 1980 s and 2010 s were perf... To detect the impacts of urban surface expansion on surface air temperature at 2-m(SAT) in Shanghai, China, nested numerical integrations based on satellite-derived urban data between the 1980 s and 2010 s were performed using the Weather Research and Forecasting(WRF) model. Urban surface expansion induced an annual-averaged warming of 0.31 °C from 1980 to 2016 across the whole of Shanghai, showing the greatest intensity between 2010 and 2016. The values were 0.36, 0.78, and 0.75 °C over grids that were classified as urban in both time periods(U2 U), landuse grids that changed from non-urban to urban(N2 U), and urban areas(including U2 U and N2 U), respectively, and revealed weak warming over the inner-ring areas because the urban surfaces had been there since the 1980 s, whereas warming areas were coincident with the outward expansion of the urban surface. Meanwhile, marked seasonal variations could be detected, which were greater in spring and summer but less in autumn and winter. The approximately homogenously distributed SAT maximum(weaker) and heterogeneously SAT minimum(stronger) contributed to the decreased diurnal temperature range. Regional warming induced by urban surface expansion was approximately 0.12 °C per decade, which accounted for 19% of the overall warming across the whole of Shanghai. The values were 0.11 °C per decade and 0.39 °C per decade over U2 U and N2 U, which accounted for approximately 17% and 42% of the overall warming, respectively, and resulted in approximately 41% of the overall warming over urban areas. 展开更多
关键词 Urban surface expansion surface air temperature regional warming nestedintegration warming trend
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