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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/覆被变化对城市化过程中热环境的影响-以Min江河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:在加速的城市化和高强度的人类活动下,Min江河口的自然湿地分布区(NWDA)面临着城市热环境恶化的巨大挑战。这项工作旨在分析土地利用/土地覆被(LULC)对城市热环境的影响,并在城市化过程中模拟湿地表面温度扰动特征。该研究采用以下方法步骤:(1)通过照片解释绘制LULC时空分布图; (2)应用单窗口算法获得地表温度的时空模式; (3)检验LST与不同LULC类型,归一化差异植被指数(NDVI),归一化差异水分指数(NDMI)和归一化差异不透水表面指数(NDISI)之间的相关性; (4)基于剖面分析和回归模型探索湿地表面温度特征。结果表明,LST模式取决于LULC分布。高LST区主要发生在福州市中心,低LST区主要发生在森林和河流地区。此外,城市的热环境受LULC类别和城市增长类型的影响。最后,LST与NDISI之间的正相关关系表明不透水表面对湿地表面温度具有放大作用,而液态水含量高的植被则减弱了区域高温。预期得出的结论将有助于改善城市热环境的设计和管理。

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