热红外遥感浙江地表热环境分布研究
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摘要
全球气候变暖与人类戚戚相关,研究发现不仅是城市的热岛效应引起了局部区域的地表热环境分布差异,很多地质构造、岩性、土壤、植被等地质及自然地理因素也有影响。本研究选取浙江省作为研究区,利用Landsat 8 OLI/TIRS遥感影像反演地表温度,分析冬季地表热环境分布及其影响因子。结果表明,断裂带附近地表热环境受到断裂带分布影响;岩石和土壤通过不同的地表覆被类型影响地表温度。地表热环境分布与断裂带等自然因素存在一定相关性。
Land surface thermal environment is an important factor in the surface ecological environment and is related to human survival and society development. Similar to the heat island effect in urban areas, some high temperatures are detected beside active faults in the region of natural surface and are affected by the lithology, soil, and vegetation. Therefore, these geological and geographical factors impact the land surface thermal environment. In our research, we investigated the distribution characteristics of surface thermal environment in Zhejiang Province on the basis of land surface temperature through thermal infrared remote sensing of Landsat 8 OLI/TIRS images. We analyzed the effects of fault activity, lithology, soil, and vegetation on the land surface thermal environment by using multiple linear regression analysis. Results showed that the active faults could cause thermal anomalies within a certain distance, the rocks and soils could affect land surface temperature depending on their cover types, and the vegetation coverage could reduce the effect of high temperature in the surface thermal environment. In conclusion, the proposed method is effective for tectonic activity monitoring and can serve as a scientific basis of research on ecological environment.
Land surface thermal environment is an important factor in the surface ecological environment and is related to human survival and society development. Similar to the heat island effect in urban areas, some high temperatures are detected beside active faults in the region of natural surface and are affected by the lithology, soil, and vegetation. Therefore, these geological and geographical factors impact the land surface thermal environment. In our research, we investigated the distribution characteristics of surface thermal environment in Zhejiang Province on the basis of land surface temperature through thermal infrared remote sensing of Landsat 8 OLI/TIRS images. We analyzed the effects of fault activity, lithology, soil, and vegetation on the land surface thermal environment by using multiple linear regression analysis. Results showed that the active faults could cause thermal anomalies within a certain distance, the rocks and soils could affect land surface temperature depending on their cover types, and the vegetation coverage could reduce the effect of high temperature in the surface thermal environment. In conclusion, the proposed method is effective for tectonic activity monitoring and can serve as a scientific basis of research on ecological environment.
引文
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Jiménez-Mu?oz J C and Sobrino J A.2003.A generalized single-channel method for retrieving land surface temperature from remote sensing data.Journal of Geophysical Research:Atmospheres,108(D22):4688[DOI:10.1029/2003JD003480]
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Lu S L,Shen X H,Zou L J,Li C J,Zhang G F,Wu W Y,Liu Y and Zhang Z.2009.Subsection mean method for relation analysis of the land surface temperature field and the fault:a case study of the Jiangshan-Shaoxing fault between Jinhua and Quzhou of Zhejiang Province.Acta Geologica Sinica,83(2):239-246(卢善龙,沈晓华,邹乐君,李长江,章桂芳,吴文渊,刘瑛,张重.2009.用于地表温度场与断裂构造关系分析的分段均值法--以江山-绍兴断裂金衢段为例.地质学报,83(2):239-246)[DOI:10.3321/j.issn:0001-5717.2009.02.009]
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