基于CA-Markov模型的西安市热环境模拟研究

发布时间：2017-12-28 03:09

本文关键词：基于CA-Markov模型的西安市热环境模拟研究　出处：《西安建筑科技大学学报(自然科学版)》2016年05期 　论文类型：期刊论文

【摘要】：将元胞自动机理论和马尔可夫模型相结合,构造了可用于城市热环境模拟与预测分析的CA-Markov模型.以西安市为例,基于单窗算法反演了西安市2000年和2006年两个不同时相城市热环境数据,并利用构建的CA-Markov耦合模型,模拟分析了西安市2018年城市热环境格局分布特征.结果表明:(1)CA-Markov模型具有较高的模拟精度,可用于城市热环境的模拟研究;(2)2018年西安市不同热岛类型面积由高到低依次为:常温区绿岛区热岛区强热岛区强绿岛区,所占面积比例分别为:70.20%、13.06%、12.01%、3.67%、1.06%;2006~2018年12a间强热岛区、热岛区、常温区、绿岛区和强绿岛区的面积变化分别为:0.31%、-0.60%、1.2%、-0.84%、-0.08%;(3)2018年西安市热环境状况整体趋于良好,常温区占绝对优势,但局部地区热环境表现为小幅加剧的趋势.因此,建议西安城市规划建设中热环境规划作为一项重要内容予以考虑.
[Abstract]:The combination of cellular automaton theory and Markov model is constructed for the prediction of the CA-Markov model and simulation analysis of thermal environment in the city. Taking Xi'an city as an example, based on the inversion of single window algorithm in 2000 and Xi'an in 2006 two the data of thermal environment in Xiangcheng City, and by using CA-Markov coupling model, simulation analysis 2018 Xi'an city thermal environment distribution characteristics. The results showed that: (1) the CA-Markov model has high simulation accuracy and can be used to simulate the thermal environment of the city; (2) the area of different types of heat island in Xi'an city in 2018 from high to low: the strong heat island area heat island area green zone of strong green area at room temperature, the the proportion was 70.20%, 13.06%, 12.01%, 3.67%, 1.06%; 2006~2018 12a between the area change of the strong heat island area, island area, island area, normal temperature area and strong green area are as follows: 0.31%, -0.60 %, 1.2%, -0.84%, -0.08%; (3) the thermal environment of Xi'an city in 2018 as a whole is good, normal temperature area accounted for an absolute advantage, but the performance of local thermal environment is slightly increasing trend. Therefore, Xi'an city planning and construction of thermal environment planning is an important content to consider.
【作者单位】：西安建筑科技大学建筑学院;
【基金】：国家自然科学基金资助项目(51608419) 陕西省自然科学基金资助项目(2013JQ5011) 陕西省教育厅专项基金资助项目(16JK1437)
【分类号】：X16
【正文快照】： 城市热环境是城市生态环境及生态安全的重要组成部分,随着城市化步伐的不断加快,原有地表覆被中的土壤、植被、水体等景观类型逐步减少,并被沥青、水泥等不透水面代替,从而导致城市下垫面热辐射性质发生变化,不断加剧城市热岛效应[1],因此,模拟并预测分析城市热环境演化,对促

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