基于ENVI-met模式的城市近地表气温模拟与分析-以南京市部分区域为例

祝善友; 高牧原; 陈亭; 张桂欣

doi:10.3878/j.issn.1006-9585.2017.16197

基于ENVI-met模式的城市近地表气温模拟与分析-以南京市部分区域为例

doi: 10.3878/j.issn.1006-9585.2017.16197

南京信息工程大学地理与遥感学院, 南京 210044

基金项目:

国家自然科学基金项目 41571418

国家自然科学基金项目 41401471

南京信息工程大学大学生创新训练计划省级重点项目 201510300050

详细信息

作者简介:
祝善友, 男, 1977年出生, 博士, 教授, 主要从事热红外遥感基础理论与应用研究。E-mail:zsyzgx@163.com

中图分类号: TP79;P463.3
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出版历程
- 收稿日期: 2016-11-04
- 网络出版日期: 2017-04-15
- 刊出日期: 2017-07-20

Simulation and Analysis of Urban Near-Surface Air Temperature Based on ENVI-met Model:A Case Study in Some Areas of Nanjing

School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044

Funds:

National Natural Science Foundation of China 41571418

National Natural Science Foundation of China 41401471

Undergraduate Innovation Training Program of Nanjing University of Information Science and Technology 201510300050

摘要

摘要: 城市不同下垫面与建筑物空间形态对近地表气温等微气候要素产生了重要影响。开展城市气温时空变化模拟与影响因素分析，对于城市热环境评价与城市规划具有重要意义。论文基于高空间分辨率Geoeye-1立体影像，在建筑物高度、下垫面覆盖类型信息提取的基础上，选择南京一中、光华东街、玄武湖、头陀岭4个区域，采用ENVI-met微气候模式，以城市基本气象站南京站的实时气象数据作为背景气象场，模拟不同区域近地表气温的时空分布特征，并利用区域自动气象站观测数据进行精度检验。结果表明：在时间变化上，ENVI-met模拟气温与实测值之间吻合程度较高；在空间分布上，南京一中与光华东街区域气温时空分布规律总体相似，但城市空间形态的差异使得局部区域气温变化不同，玄武湖区域气温由陆地中心向外围呈递减趋势，而头陀岭地形复杂多变，白天气温变化剧烈，夜间空间变化较小。
- 近地表气温 /
- ENVI-met模式 /
- 微气候 /
- 城市空间形态 /
- 模拟
Abstract: Different types of underlying land surface cover and various urban spatial morphologies have an important effect on micro-climate parameters. Simulating the spatio-temporal distribution of urban air temperature and analyzing its influencing factors are of great significance to evaluate urban thermal environment and urban planning. In this paper, ENVI-met micro-climate model is used to simulate the spatio-temporal distribution characteristics of surface air temperature in some areas of Nanjing, including Nanjing Middle School I, Eastern Guanghua Street, Xuanwu Lake, and Toutuoling. The distribution of buildings and their heights as well as the underlying land cover information are extracted from the high spatial resolution Geoeye-1 stereoscopic images. The simulated results based on ENVI-met micro-climate model are validated using the measurements collected at Nanjing national meteorological station. It is found that the temporal changes in simulated surface air temperature are consistent with observations. For the spatial distribution characteristics, the surface air temperature distribution in the area of Nanjing Middle School I is similar to that in Eastern Guanghua Street, and the difference in urban spatial morphology results in the air temperature variance within local regions. For the Xuanwu Lake, the surface air temperature decreases outward from the land area in central Xuanwu Lake. The spatial variance of surface air temperature during the daytime is bigger than that in the nighttime due to the complex terrain in Toutuoling area.
- Near-surface air temperature /
- ENVI-met model /
- Micro-climate /
- Urban spatial morphology /
- Simulation

HTML全文

图 1 研究区Geoeye-1卫星遥感影像真彩色合成图像

Figure 1. True color composite Geoeye-1 satellite image of the study area

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图 2 论文研究技术路线

Figure 2. Flowchart of the research technique

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图 3 2014年7月26日（a）南京一中、（b）光华东街、（c）玄武湖、（d）头陀岭实测与模拟的气温对比

Figure 3. Comparisons between observed and simulated air temperature at (a) Nanjing Middle School I, (b) eastern Guanghua street, (c) Xuanwu Lake, and (d) Toutuoling stations on 26 Jul 2014

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图 4 南京一中2014年7月26日（a）14:00、（b）22:00模拟的气温空间分布

Figure 4. Simulated air temperature in the area of Nanjing Middle School I at (a) 1400 LST and (b) 2200 LST on 26 Jul 2014

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图 5 南京光华东街2014年7月26日22:00模拟的气温空间分布

Figure 5. Simulated air temperature in the area of East Guanghua Street at 2200 LST 26 Jul 2014

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图 6 2014年7月26日22:00模拟的玄武湖气温空间分布

Figure 6. Simulated air temperature in the area of Xuanwu Lake at 2200 LST 26 Jul 2014

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图 7 同图 6，但为头陀岭

Figure 7. Same as Fig. 6, but for Toutuoling

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参考文献(16)

[1]	Ali-Toudert F, Mayer H. 2006. Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate[J]. Building and Environment, 41 (2):94-108, doi: 10.1016/j.buildenv.2005.01.013.
[2]	陈亭, 祝善友, 张桂欣, 等. 2016.高分辨率遥感影像阴影与立体像对提取建筑物高度比较研究[J].地球信息科学学报, 18 (9):1267-1275. doi: 10.3724/SP.J.1047.2016.01267 Chen Ting, Zhu Shanyou, Zhang Guixin, et al. 2016. A comparative study on building height extraction based on the shadow information in high resolution remote sensing image and stereo images[J]. Journal of Geo-Information Science (in Chinese), 18 (9):1267-1275, doi: 10.3724/SP.J.1047.2016.01267.
[3]	Fang X Y, Jiang W M, Miao S G, et al. 2004. The multi-scale numerical modeling system for research on the relationship between urban planning and meteorological environment[J]. Advances in Atmospheric Sciences, 21 (1):103-112, doi: 10.1007/BF02915684.
[4]	Huang L M, Li J L, Zhao D H, et al. 2008. A fieldwork study on the diurnal changes of urban microclimate in four types of ground cover and urban heat island of Nanjing, China[J]. Building and Environment, 43 (1):7-17, doi: 10.1016/j.buildenv.2006.11.025.
[5]	蒋维楣, 王咏薇, 刘罡, 等. 2007.多尺度城市边界层数值模式系统[J].南京大学学报(自然科学版), 43 (3):221-237. http://www.cnki.com.cn/Article/CJFDTOTAL-NJDZ200703000.htm Jiang Weimei, Wang Yongwei, Liu Gang, et al. 2007. Multi-scale urban boundary layer modelling system[J]. Journal of Nanjing University (Natural Sciences)(in Chinese), 43 (3):221-237. http://www.cnki.com.cn/Article/CJFDTOTAL-NJDZ200703000.htm
[6]	Kolokotroni M, Giridharan R. 2008. Urban heat island intensity in London:An investigation of the impact of physical characteristics on changes in outdoor air temperature during summer[J]. Solar Energy, 82 (11):986-998, doi: 10.1016/j.solener.2008.05.004.
[7]	李磊, 胡非, 刘京. 2012. CFD在我国城市气候环境微尺度问题中的应用[C]//中国气象学会2012城市气象论坛论文集. 深圳: 中国气象学会, 18-23. Li Lei, Hu Fei, Liu Jing. 2012. Application of CFD in micro-scale urban climate environment in our country[C]//Urban Meteorology Forum 2012 (in Chinese). Shenzhen:Chinese Meteorological Society, 18-23.
[8]	刘勇洪, 权维俊. 2014.北京城市高温遥感指标初探与时空格局分析[J].气候与环境研究, 19 (3):332-342. doi: 10.3878/j.issn.1006-9585.2013.12190 Liu Yonghong, Quan Weijun. 2014.Research on high temperature indices of Beijing city and its spatiotemporal pattern based on satellite data[J]. Climatic and Environmental Research (in Chinese), 19 (3):332-342, doi: 10.3878/j.issn.1006-9585.2013.12190.
[9]	Ng E, Chen L, Wang Y N, et al. 2012. A study on the cooling effects of greening in a high-density city:An experience from Hong Kong[J]. Building and Environment, 47:256-271, doi:10.1016/j.buildenv.2011. 07.014.
[10]	孙绩华, 冯健武, 段玮. 2015.昆明城市热岛效应变化特征研究[J].气候与环境研究, 20 (6):645-653. doi: 10.3878/j.issn.1006-9585.2015.15072 Sun Jihua, Feng Jianwu, Duan Wei. 2015. Change in the urban heat island effect in Kunming[J]. Climatic and Environmental Research (in Chinese), 20 (6):645-653, doi: 10.3878/j.issn.1006-9585.2015.15072.
[11]	Unger J. 2004. Intra-urban relationship between surface geometry and urban heat island:Review and new approach[J]. Climate Research, 27:253-264, doi: 10.3354/cr027253.
[12]	Vogt J V, Viau A A, Paquet F. 1997. Mapping regional air temperature fields using satellite-derived surface skin temperatures[J]. International Journal of Climatology, 17 (14):1559-1579, doi:10.1002/(SICI)1097-0088(19971130)17:14 < 1559::AID-JOC211 > 3.0.CO; 2-5.
[13]	王伟武, 李国梁, 薛瑾. 2009.杭州城市热岛空间分布及缓减对策[J].自然灾害学报, 18 (6):14-20. doi: 10.3969/j.issn.1004-4574.2009.06.003 Wang Weiwu, Li Guoliang, Xue Jin. 2009. Spatial distribution of urban heat island in Hangzhou and its mitigation countermeasures[J]. Journal of Natural Disasters (in Chinese), 18 (6):14-20, doi: 10.3969/j.issn.1004-4574.2009.06.003.
[14]	吴婕, 徐影, 师宇. 2015.华南地区城市化对区域气候变化的影响[J].气候与环境研究, 20 (6):654-662. doi: 10.3878/j.issn.1006-9585.2015.14228 Wu Jie, Xu Ying, Shi Yu. 2015. Urbanization effects on local climate change in South China[J]. Climatic and Environmental Research (in Chinese), 20 (6):654-662, doi: 10.3878/j.issn.1006-9585.2015.14228.
[15]	张海龙, 祝善友, 王明江, 等. 2015.基于3D建筑物数据的天空开阔度估算及其城市热岛应用研究——以Adelaide为例[J].遥感技术与应用, 30 (5):899-907. doi: 10.11873/j.issn.1004-0323.2015.5.0899 Zhang Hailong, Zhu Shanyou, Wang Mingjiang, et al. 2015. Sky view factor estimation based on 3D urban building data and its application in urban heat island-Illustrated by the case of Adelaide[J]. Remote Sensing Technology and Application (in Chinese), 30 (5):899-907, doi: 10.11873/j.issn.1004-0323.2015.5.0899.
[16]	祝善友, 张桂欣, 刘莹. 2012.苏州下垫面格局演变及其局地热环境效应[J].地理科学, 32 (7):859-865. doi: 10.13249/j.cnki.sgs.2012.07.859 Zhu Shanyou, Zhang Guixin, Liu Ying. 2012. Change of underlying surface pattern and its local thermal environment effect in Suzhou city[J]. Scientia Geographica Sinica (in Chinese), 32 (7):859-865, doi: 10.13249/j.cnki.sgs.2012.07.859.