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Impact of Land Use/Land Cover Changes on the Thermal Environment in Urbanization: A Case Study of the Natural Wetlands Distribution Area in Minjiang River Estuary, China

机译:土地利用/土地覆盖变化对城市化热环境的影响 - 以岷江口自然湿地分布区为例

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摘要

Under accelerated urbanization and high-intensity human activities, the natural wetlands distribution area (NWDA) in Minjiang River estuary faces the great challenge of a deteriorative urban thermal environment. This work aims to analyze the impact of land use/land cover (LULC) on the urban thermal environment and model wetland surface temperature disturbance characteristics during the process of urbanization. The study utilized the following methodological steps: (1) mapping of LULC spatial and temporal distribution through photo interpretation; (2) applying the mono-window algorithm to obtain the spatiotemporal patterns of land surface temperature (LST); (3) examining the correlation between LST and different LULC classes, normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), and normalized difference impervious surface index (NDISI); and (4) exploring wetland surface temperature characteristics based on profile analysis and regression models. The results showed that the LST pattern depended on the LULC distribution; the high LST zones were mainly observed in the center of Fuzhou city, and the low LST zones were mainly observed in forest and river areas. Moreover, the urban thermal environment was influenced by both LULC classes and urban growth types. Finally, the positive relationship between LST and NDISI indicated an amplifying effect of the impervious surface for wetland surface temperature, while vegetation with high liquid water attenuated the regional high temperature. The obtained conclusions are expected to be beneficial in improving the design and management of the urban thermal environment.
机译:在加速城市化和高强度人类活动下,岷江口的天然湿地分布区(NWDA)面临着劣化城市热环境的巨大挑战。这项工作旨在分析土地使用/陆地覆盖(LULC)对城市化过程中的城市热环境和模型湿地表面温度扰动特性的影响。该研究采用以下方法论步骤:(1)通过照片解释的Lulc空间和时间分布的映射; (2)应用单窗算法获得土地表面温度(LST)的时空图案; (3)检查LST和不同LULC类之间的相关性,归一化差异植被指数(NDVI),归一化差异湿度指数(NDMI)和归一化差异不透水表面指数(NDISI); (4)基于轮廓分析和回归模型探索湿地表面温度特性。结果表明,LST模式取决于LULC分布;高LST区主要在福州市中心观察,在森林和河流地区主要观察到低LST区。此外,城市热环境受到LULC课程和城市增长类型的影响。最后,LST和NDISI之间的正关系表明了湿地表面温度的不透水表面的放大效果,而具有高液态水的植被减弱了区域高温。所获得的结论预计有利于改善城市热环境的设计和管理。

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