基于ECOSTRESS的城市热环境昼夜空间特征分析

doi:10.13474/j.cnki.11-2246.2024.0626

测绘通报 ›› 2024, Vol. 0 ›› Issue (6): 151-156,181.doi: 10.13474/j.cnki.11-2246.2024.0626

• 技术交流 • 上一篇

基于ECOSTRESS的城市热环境昼夜空间特征分析

彭敏^1,2, 姚娜¹, 孙培蕾¹, 邹博文¹, 王文硕¹

1. 沈阳市勘察测绘研究院有限公司, 辽宁沈阳 110004;
2. 沈阳市自然资源卫星应用技术中心, 辽宁沈阳 110004

收稿日期:2023-12-05 发布日期:2024-06-27
通讯作者: 王文硕。E-mail:15940133562@163.com
作者简介:彭敏(1990—),女,硕士,工程师,主要从事卫星遥感监测研究工作。E-mail:minpeng@whu.edu.cn
基金资助:
辽宁省教育厅高校基本科研项目(LJKMZ20220942);2020年辽宁省“百千万人才工程”基于空天地一体化及北斗三号精密定位的沈阳市新型基础测绘体系的研究、建立与实施

Spatial characteristics analysis of urban thermal diurnal environment based on ECOSTRESS

PENG Min^1,2, YAO Na¹, SUN Peilei¹, ZOU Bowen¹, WANG Wenshuo¹

1. Shenyang Geotechnical Investigation & Surveying Research Institute Co., Ltd., Shenyang 110004, China;
2. Shenyang Natural Resources Satellite Application Center, Shenyang 110004, China

Received:2023-12-05 Published:2024-06-27

摘要/Abstract

摘要： 地表温度是表征城市热环境变化的重要指标,其分布信息对监测城市热环境具有重要意义。本文首先基于2018—2023年6—8月ECOSTRESS数据,通过地表温度修正得到沈阳市四环内的昼夜地表温度;然后利用均值-标准差法和空间自相关分析法对地表温度昼夜空间特征进行提取;最后结合土地利用数据,分析不同地类对地表温度空间分布的贡献度。结果表明,沈阳市四环内地表温度呈北高南低、西高东低的形式,日间和夜间地表温度差异较大。高温区主要集中在皇姑区、大东区、沈河区西部和铁西区东部,低温区和次中温区主要集中在四环边缘;人工地表类别的地表温度大多高于自然地表类别的地表温度,建筑用地类别高温区占比最多,这是地表升温的主要因素,自然地表类别是降温的主要因素;沈阳市四环内的地表温度呈空间正相关,夜间地表温度聚集程度高于日间,且具有显著性的冷热点,地表温度昼夜变化与地表温度聚集性分布特征一致。

关键词: 城市热环境, 地表温度, 空间自相关分析, ECOSTRESS, 沈阳市

Abstract: Land surface temperature (LST) is an important index to characterize the change of urban thermal environment, and its distribution information is of great significance for monitoring urban thermal environment. Based on ECOSTRESS data from June to August from 2018 to 2023, diurnal LST in the fourth ring road of Shenyang is obtained through the correction of LST. Mean-standard deviation method and spatial autocorrelation analysis are used to extract diurnal spatial characteristics of LST, and combined with land use data, the contribution degree of different land types to the spatial distribution of land surface temperature is analyzed. As indicated by the results, the LST in the fourth ring road of Shenyang is high in the north and low in the south, and high in the west and low in the east. There is a large difference in LST between day and night. The high temperature area is mainly concentrated in Huanggu district, Dadong district, western Shenhe district and eastern Tiexi district, while the low temperature area and the middle temperature area are mainly concentrated at the edge of the fourth ring road, the artificial LST is mostly higher than the natural LST, and the high temperature area of building land category accounted for the largest proportion, which is the main factor for the warming of LST, while the natural LST is the main factor for the cooling of LST. There are significant clustering and hot spots in the fourth ring road of Shenyang, and the diurnal variation of LST is consistent with the aggregation distribution characteristics of LST.

Key words: urban thermal environment, land surface temperature, spatial autocorrelation analysis, ECOSTRESS, Shenyang city

中图分类号:

P237

彭敏, 姚娜, 孙培蕾, 邹博文, 王文硕. 基于ECOSTRESS的城市热环境昼夜空间特征分析[J]. 测绘通报, 2024, 0(6): 151-156,181.

PENG Min, YAO Na, SUN Peilei, ZOU Bowen, WANG Wenshuo. Spatial characteristics analysis of urban thermal diurnal environment based on ECOSTRESS[J]. Bulletin of Surveying and Mapping, 2024, 0(6): 151-156,181.

参考文献

[1] OOKA R.Recent development of assessment tools for urban climate and heat-island investigation especially based on experiences in Japan[J].International Journal of Climatology,2007,27(14): 1919-1930.
[2] AFLAKI A,MIRNEZHAD M,GHAFFARIANHOSEINI A,et al.Urban heat island mitigation strategies: a state-of-the-art review on Kuala Lumpur,Singapore and Hong Kong [J].Cities,2017,62: 131-145.
[3] BAHI H,MASTOURI H,RADOINE H.Review of methods for retrieving urban heat islands[J].Materials Today: Proceedings,2020,27: 3004-3009.
[4] ZHAO Lei,LEE Xuhui,SCHULTZ N M.A wedge strategy for mitigation of urban warming in future climate scenarios[J].Atmospheric Chemistry and Physics,2017,17(14): 9067-9080.
[5] 陈梦迪,张友水.福州城市扩张对地表温度影响及其空间分异分析[J].海南师范大学学报(自然科学版),2023,36(3): 301-311.
[6] 姚灵筠,王力,牛铮,等.2000—2018年长株潭城市群城市扩张及其热岛响应[J/OL].自然资源遥感,2023: 1-7.(2023-09-04).https://kns.cnki.net/kcms/detail/10.1759.P.20230904.1002.014.html.
[7] 李威洋,史海静,聂玮廷,等.基于地表参数变化的延河流域地表温度时空演变分析[J/OL].自然资源遥感,2023: 1-10.(2023-08-04).https://kns.cnki.net/kcms/detail/10.1759.p.20230803.0935.008.html.
[8] 段四波,茹晨,李召良,等.Landsat卫星热红外数据地表温度遥感反演研究进展[J].遥感学报,2021,25(8): 1591-1617.
[9] 赵欣,赵凯旭,黄晓军.基于ECOSTRESS地表温度和手机信令数据的城市人口热环境暴露风险评价: 以西安市为例[J].地理科学进展,2022,41(11): 2061-2072.
[10] 覃盟琳,宋文博,宋苑震,等.北部湾城市群热岛空间特征及演变趋势研究[J].安全与环境学报,2020,20(4): 1557-1566.
[11] ALKAFY A,RAHMAN M S,FAISAL A A,et al.Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi,Bangladesh[J].Remote Sensing Applications: Society and Environment,2020,18: 100314.
[12] BERGER C,ROSENTRETER J,VOLTERSEN M,et al.Spatio-temporal analysis of the relationship between 2D/3D urban site characteristics and land surface temperature[J].Remote Sensing of Environment,2017,193: 225-243.
[13] 李文亮,张丽娟,陈红,等.哈尔滨市城市扩展与地表热环境变化关系研究[J].地域研究与开发,2010,29(2): 49-52.
[14] 李丽光,许申来,王宏博,等.基于源汇指数的沈阳热岛效应[J].应用生态学报,2013,24(12): 3446-3452.
[15] 王植,董斌,陈炟君.基于Landsat的沈阳城市热岛效应与地表参数变化分析[J].测绘与空间地理信息,2018,41(10): 4-7.
[16] 姜诗慧,彭剑峰,宋永会,等.沈阳市2005—2012年水足迹与水资源承载力分析[J].环境工程技术学报,2017,7(1): 15-23.
[17] 王宏博,李丽光,赵梓淇,等.基于TM/ETM⁺数据的沈阳市各区城市热岛特征[J].生态学杂志,2015,34(1): 219-226.
[18] FISHER J B,LEE B,PURDY A J,et al.ECOSTRESS:NASA's next generation mission to measure evapotranspiration from the international space station[J].Water Resources Research,2020,56:e2019WR026058.
[19] CHANG Y,XIAO J F,LI X X,et al.Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data[J].Remote Sensing of Environment,2021,263:112544.
[20] 哈尚晨,阿里木江·卡斯木.基于土地集约利用水平的城市热岛效应影响因子分析[J].冰川冻土,2016,38(1):270-278.
[21] LEMMERZ T,HERLÉ S,BLANKENBACH J.Geostatistics on real-time geodata streams—high-frequent dynamic autocorrelation with an extended spatiotemporal Moran’s I index[J].ISPRS International Journal of Geo-information,2023,12:350.
[22] MEKONNEN A A,SIPOS T,KRIZSIK N.Identifying hazardous crash locations using empirical bayes and spatial autocorrelation[J].ISPRS International Journal of Geo-information,2023,12:85.

基于ECOSTRESS的城市热环境昼夜空间特征分析

Spatial characteristics analysis of urban thermal diurnal environment based on ECOSTRESS

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