503 | 1 | 135 |
下载次数 | 被引频次 | 阅读次数 |
快速城市化进程中地表热环境发生显著变化,对城市人居环境健康和可持续发展造成不利影响。该文基于2001—2022年4期Landsat遥感数据反演石家庄市地表温度,利用均值—标准差法提取城市热岛,分析比较石家庄全市和主城区周围地表热环境的时空演变差异,定量分析不同土地利用类型对城市热环境的贡献,并采用地理探测器探究高程、NDVI、NDBBI、MNDWI和土地利用对地表温度变化的影响差异。结果表明:(1)石家庄市热岛主要分布在东部城市建成区和西北部太行山前裸地,城区热岛以主城四区为核心向外扩展,山区热岛随山体绿化而减小。(2)2001—2022年石家庄市热岛发展主轴保持西北—东南方向,热岛重心向东南方向偏移24.84 km。全市热岛面积略微减少,热岛比例指数减小0.005,主城区周围热岛面积大幅增加,热岛比例指数增加0.096。(3)建设用地和裸地具有明显的升温效应,林地和水域具有明显的降温效应,耕地和草地在不同年份和研究范围内呈现不同的热贡献。(4)地理探测器分析表明土地利用类型、NDVI和NDBBI是影响地表温度变化的主控因子,NDBBI和高程对全市整体地表热环境的交互作用最强,NDBBI和土地利用对主城区周围热环境的交互作用最强。城市地表热环境时空分异特征及其影响因素研究可为有效缓解城市热岛效应及改善人居环境质量提供决策支持。
Abstract:In the process of rapid urbanization, significant changes have occurred in the surface thermal environment, increasing the risk of heat related diseases and energy consumption, seriously affecting the health and sustainable development of urban living environment.Based on four periods of Landsat remote sensing data from 2001 to 2022,this study retrieved land surface temperature(LST) in Shijiazhuang City and employed the mean standard deviation method to extract the urban heat island.The spatiotemporal evolution differences of the surface thermal environment in the entire Shijiazhuang City and its main urban area were analyzed and compared from a global-local perspective.Quantitative analysis was conducted to evaluate the contributions of different types of land use to the thermal environment, and geodetector was used to explore the different effects of elevation, NDVI,NDBBI,MNDWI,and land use on land surface temperature changes.It is found as follows.(1) Urban heat islands in Shijiazhuang predominantly concentrated in eastern built-up areas and northwestern bare lands along the Taihang Mountain foothills.Urban heat islands expanded radially from the four core districts in main urban areas, while mountainous heat islands diminished with afforestation.(2) From 2001 to 2022,the main axis of urban heat island development in Shijiazhuang consistently persisted along the northwest-southeast orientation, with the centroid of the urban heat island shifting 24.84 km towards the southeastern part of the city, a region undergoing rapid urban development.The spatial extent of the urban heat island across the entire city exhibited a slight reduction, with a decrease of 0.005 in the heat island ratio index.The spatial extent of the urban heat island surrounding the main urban area exhibited a significant expansion, accompanied by an increase of 0.096 in the heat island ratio index.(3) Construction land and bare land demonstrated a significant warming effect, while forest land and water bodies demonstrated a significant cooling effect.Cultivated land and grassland exhibited different thermal contributions depending on the irrigation system and interannual variations in their relative areal coverage within the study region.(4) Geodetector analysis showed that land use, NDVI,and NDBBI were the main controlling factors affecting land surface temperature changes.The interaction between NDBBI and DEM exhibited the strongest synergistic effects on the urban thermal environment across the entire city, while the interaction between NDBBI and land use dominated the thermal environment surrounding the main urban area.This study provides scientific support for management strategies aimed at effectively mitigating the urban heat island effect and improving the quality of human settlements.
[1] OKE T R.City size and the urban heat island[J].Atmospheric Environment,1973,7(8):769- 779.
[2] 杨敏,杨贵军,王艳杰,等.北京城市热岛效应时空变化遥感分析[J].国土资源遥感,2018,30(3):213- 223.
[3] 乔治,陈嘉悦,王楠,等.SSP-RCP情景下京津冀城市群夏季热环境空间网络识别与评估[J].地理与地理信息科学,2024,40(3):29- 36.
[4] 谢启姣,刘进华,胡道华.武汉城市扩张对热场时空演变的影响[J].地理研究,2016,35(7):1259- 1272.
[5] 黄焕春,杨海林,邓鑫,等.城市热岛对居民健康影响的空间演化过程[J].遥感信息,2021,36(4):38- 46.
[6] QIAO Z,LIU L,QIN Y W,et al.The impact of urban renewal on land surface temperature changes:a case study in the main city of Guangzhou,China[J].Remote Sensing,2020,12(5):794.
[7] 陈彬辉,冯瑶,袁建国,等.基于MODIS地表温度的京津冀地区城市热岛时空差异研究[J].北京大学学报(自然科学版),2016,52(6):1134- 1140.
[8] 岳亚飞,詹庆明,王炯.城市热环境的规划改善策略研究:以武汉市为例[J].长江流域资源与环境,2018,27(2):286- 295.
[9] 程雨婷,刘昭华,鹿琳琳,等.一带一路沿海超大城市热岛时空特征遥感分析[J].遥感技术与应用,2020,35(5):1197- 1205.
[10] 赵安周,裴韬,曹森,等.京津冀城市扩张对植被和地表城市热岛的影响[J].中国环境科学,2020,40(4):1825- 1833.
[11] 乔治,黄宁钰,徐新良,等.2003—2017年北京市地表热力景观时空分异特征及演变规律[J].地理学报,2019,74(3):475- 489.
[12] 牛陆,张正峰,彭中,等.中国地表城市热岛驱动因素及其空间异质性[J].中国环境科学,2022,42(2):945- 953.
[13] 熊鹰,章芳.基于多源数据的长沙市人居热环境效应及其影响因素分析[J].地理学报,2020,75(11):2443- 2458.
[14] 匡文慧.城市土地利用/覆盖变化与热环境生态调控研究进展与展望[J].地理科学进展,2018,38(10):1643- 1652.
[15] 徐宏超,李春林,王昊,等.土地利用变化对京津冀热环境时空演变的影响[J].中国环境科学,2023,43(3):1340- 1348.
[16] 樊智宇,詹庆明,刘慧民,等.武汉市夏季城市热岛与不透水面增温强度时空分布[J].地球信息科学学报,2019,21(2):226- 235.
[17] 肖凡.基于多指数的长沙市热岛效应变化研究[D].长沙:湖南师范大学,2016,
[18] 国巧真,闫兵,杨光,等.天津市热环境时空演变及影响因素分析[J].地球环境学报,2024,15(1):129- 139.
[19] 李昕瑜,杜培军,阿里木·赛买提.南京市地表参数变化与热岛效应时空分析[J].国土资源遥感,2014,26(2):177- 183.
[20] 赵强,谭璐,方潜生,等.基于卫星资料的合肥市热岛效应时空演变及其影响因子分析[J].大气与环境光学学报,2023,18(2):153- 165.
[21] 梁洪武,阿里木江·卡斯木,赵禾苗,等.基于地理探测器的乌鲁木齐市主城区地表温度及其影响因素[J].兰州大学学报(自然科学版),2022,58(3):356- 371.
[22] 林中立,徐涵秋.近20年来新旧“火炉城市”热岛状况对比研究[J].遥感技术与应用,2019,34(3):521- 530.
[23] 杨鹏,程巳阳,高祺,等.石家庄市主城区下垫面类型和热环境时空演变及其相互关系[J].湖北农业科学,2021,60(20):48- 56.
[24] YANG J,HUANG X.The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J].Earth System Science Data,2021,13(8):3907- 3925.
[25] 郭宇,王宏伟,张喆,等.南京市热环境与地表覆被的时空尺度效应及驱动机制研究[J].生态环境学报,2020,29(7):1403-1411.
[26] SOBRINO J A,JIMéNEZ-MU?OZ J C,PAOLINI L.Land surface temperature retrieval from Landsat TM 5[J].Remote Sensing of Environment,2004,90(4):434- 440.
[27] 乔治,田光进.北京市热环境时空分异与区划[J].遥感学报,2014,18(3):715- 734.
[28] 刘勇洪,房小怡,张硕,等.京津冀城市群热岛定量评估[J].生态学报,2017,37(17):5818- 5835.
[29] 赵璐,赵作权.基于特征椭圆的中国经济空间分异研究[J].地理科学,2014,34(8):979- 986.
[30] 匡文慧.城市土地利用/覆盖变化与热环境生态调控研究进展与展望[J].地理科学,2018,38(10):1643- 1652.
[31] 刘焱序,彭建,王仰麟.城市热岛效应与景观格局的关联:从城市规模、景观组分到空间构型[J].生态学报,2017,37(23):7769- 7780.
[32] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116- 134.
[33] FU X C,YAO L,XU W T,et al.Exploring the multitemporal surface urban heat island effect and its driving relation in the Beijing-Tianjin-Hebei urban agglomeration[J].Applied Geography,2022,144:102714.
[34] 孙硕,李君,王一旭,等.京津冀城市群土地利用变化对地表热环境的影响研究[J].西安理工大学学报,2022,38(1)。
[35] 乔治,贺曈,卢应爽,等.全球气候变化背景下基于土地利用的人类活动对城市热环境变化归因分析:以京津冀城市群为例[J].地理研究,2022,41(7):1932- 1947.
[36] 李孝永,匡文慧.北京、天津和石家庄城市地表覆盖组分与结构特征对地表温度的影响[J].生态学杂志,2019,38(10):3057- 3065.
[37] 闫章美,周德成,张良侠.我国三大城市群地区城市和农业用地地表热环境效应对比研究[J].生态学报,2021,41(22):8870- 8881.
[38] YU Z W,YAO Y W,YANG G Y,et al.Spatiotemporal patterns and characteristics of remotely sensed region heat islands during the rapid urbanization (1995- 2015) of Southern China[J].Science of The Total Environment,2019,674:242- 254.
基本信息:
DOI:
中图分类号:X16;P208
引用信息:
[1]左璐,孙雷刚,鲁军景等.石家庄市地表热环境时空演变及其影响因素分析[J].地理与地理信息科学,2025,41(03):119-128.
基金信息:
河北省科学院高层次人才培养与资助项目(2022G03)