周 迪,冯 祯,何瑞珍,代静怡,闫菲泽.基于时间序列遥感的郑州市热岛效应与植被关系研究[J].林业调查规划,2025,50(2):142-154 |
基于时间序列遥感的郑州市热岛效应与植被关系研究 |
Relationship between Heat Island Effect and Vegetation in Zhengzhou CityBased on Time Series Remote Sensing |
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DOI: |
中文关键词: 热岛效应 地表温度 植被覆盖度 NDVI LST 郑州市 |
英文关键词: heat island effect surface temperature vegetation coverage normalized difference vegetation
index (NDVI) land surface temperature (LST) Zhengzhou City |
基金项目:河南省高等学校重点科研项目城市形态与风环境的耦合关系研究(19A416004);郑州市绿色空间布局对城市微气候的影响机
制(31470029). |
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中文摘要: |
近些年来城市热岛效应越来越显著,严重影响城市的健康发展,改善城市热环境问题已成为
当下关注的焦点 。利用不同季节的Landsat-8遥感数据,采用ENVI、ArcGIS和SPSS等软件分析
郑州市市区地表温度(LST)与归一化植被指数(NDVI),研究郑州市城区不同区位的城市热岛效应与植被之间的关系及其季节变化特征,进一步丰富城市热岛与城市布局、城市规模的关系研究。结果表明,郑州市市区植被覆盖分布存在明显的空间差异和季节差异,夏季植被覆盖度最大,且高植被覆盖度区域最多;夏季热岛效应最为显著,具体呈现距市中心越近热岛效应越显著的趋势;市区不同季节的地表温度存在一定空间差异,全年温度变化范围和标准差最大值出现在三环内,除夏季
外,年均温最大值出现在三环,较低温度在二环内;LST与NDVI 在春夏秋三季呈负相关性,冬季呈正相关性,夏季的相关性最强,同时LST 与NDVI 在高温区负相关性更强,表明植被可有效降低地
表温度,缓解城市热岛效应强度。 |
英文摘要: |
In recent years, the urban heat island effect has become increasingly significant, seriously affecting
the healthy development of cities. Improving the urban thermal environment has become a current
focus of attention. Based on Landsat-8 remote sensing data in different seasons, ENVI, ArcGIS and SPSS
software were used to analyze the land surface temperature(LST) and normalized difference vegetation index
(NDVI) in Zhengzhou City, and the relationship between urban heat island effect and vegetation in different
locations of Zhengzhou City and its seasonal variation characteristics were studied, further enriching the research
on the relationship between urban heat island and urban layout and urban scale. The results showed that there were significant spatial and seasonal differences in the distribution of vegetation coverage in the urban
area of Zhengzhou, and the vegetation coverage was highest in summer, and the areas with high vegetation
coverage were the most abundant; the heat island effect was most significant in summer, showing a trend that
the closer the distance to the city center, the more significant the heat island effect; there were some spatial
differences in urban surface temperature in different seasons, and the maximum range and standard deviation
of annual temperature variation occurred in the third ring road, and except summer, the maximum annual average
temperature occurred in the third ring road, while the lower temperature occurred in the second ring
road; there was a negative correlation between LST and NDVI in spring, summer and autumn, a positive
correlation in winter, and the strongest correlation in summer, at the same time, the negative correlation
between LST and NDVI was stronger in high temperature area, which indicated that vegetation could effectively
reduce land surface temperature and alleviate the intensity of urban heat island effect. |
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