项目名称: 城市化进程中海岸带城市景观格局演变与热岛效应互动机制
项目编号: No.41471366
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 天文学、地球科学
项目作者: 花利忠
作者单位: 厦门理工学院
项目金额: 80万元
中文摘要: 高速城市化导致的城市热岛效应问题,已成为我国城市可持续发展面临的重大挑战,如何减缓城市热岛效应是当前城市化背景下实施可持续城市和低碳城市发展战略的迫切需要。本项目拟以海岸带城市--厦门作为典型研究区,基于3S技术构建基于多特征决策树土地利用遥感分类模型,对研究区30多年来多期的遥感影像自动分类,建立土地利用景观数据库,用景观格局指标和分形方法揭示城市景观格局演变规律,通过地理探测器方法阐明城市各种自然要素(植被,水体和风)与非自然要素(土地利用景观指数,城市不透水面,人口和能耗密度)对城市热岛的驱动机制,构建基于城市热岛与驱动因子的统计模型,开发城市热岛空间格局模拟的元胞自动机模型(CA),进而模拟预测研究区未来城市热岛空间格局。项目有助于深入认识城市景观格局与城市热岛效应的相互作用机制,对有效缓解热岛效应及减少碳排放提供理论依据。
中文关键词: 城市热岛;景观格局;城市化;厦门
英文摘要: Over the past several decades, the global process of urbanization has progressed dramatically rapid, thus gave rise to many problems for the urban environment and climate, e.g., a phenomenon known as urban heat island (UHI).It is an urgent issue to mitigate the UHI for the sustainable urban and low-carbon urban development strategy in the context of the urbanization. Eight Landsat TM /ETM + images, acquired from 1987-2017, are used to construct landuse database for Xiamen City,in southeastern China as an example, based on the 3S technology and a new decision tree model whici is integrated multi-spectral features with geographic features. The evolution of the urban landscape pattern of Xiamen over its rapid urbanization period is studied through the analyses of landscape transfer matrix, landscape indexes, and fractal method. Based on the Geogdetector model, the driving force of urban heat island is analyzed using a number of indicies including SAVI, NDVI, MNDWI,wind, impervious surface, population and energy consumption. And then, the statistic model between UHI and dominant indicies, and UHI pattern model based on CA (Cellular Automata ) are developed to predict the UHI pattern change in different scenarios. The research contributes to a bettern understanding of urban landscape patternand and UHI mechanisms. It has important theoretical significance application value to mitigate UHI effects and reduce carbon emissions.
英文关键词: Urban Heat Island;landscape pattern;urbanization;Xiamen