摘要
以山西省忻州市忻府区为例,利用Landsat-7 ETM+遥感影像,运用基于影像的反演(IB)算法反演了地表温度;进而以地表温度、平均相对湿度两个指标为影响因子,运用温湿指数(THI)模型来研究忻府区冬季、秋季和夏季的人体舒适度,获取人体舒适度指数值并分析忻府区在不同季节人体舒适度的分布情况。结果表明,忻府区冬季普遍偏冷,在城镇用地上更冷,人体感觉不舒服;秋季普遍较舒适;夏季,在城镇区普遍闷热,但是在山地由于较高的植被覆盖度,从而有相对较低的温度。研究为合理评价城镇气候资源分布,分析城乡居民工作、生活环境需求进行了有益的探讨。
The IB algorithm （Image-based algorithm） was selected to retrieve surface temperature by using the Landsat-7 ETM＋ remote sensing images; and then chose the land surface temperature and average relative humidity as the impact factors, applied thermal humidity index （THI） model to research human comfort degree of Xinfu district in winter, autumn and summer; obtained human comfort degree index values and analysed the distribution of human comfort degree of Xirffu district in different seasons. The results showed that Xinfu district was generally cold in winter but the urban area was colder, people felt uncomfortable; while it was more comfortable in autumn; the urban area was generally sultry in summer but it was relatively cool in mountains because of the dense vegetation. In the urban planning of the Xinfu district, we should increase the vegetation because it has a great comprehensive effect in maintaining the stabilization of urban environment.
出处
《广东农业科学》
CAS
CSCD
北大核心
2013年第8期176-178,F0004,共4页
Guangdong Agricultural Sciences
关键词
ETM+
人体舒适度
地表温度
ETM＋
human comfort degree
land surface temperature
