The surface temperature was retrieved based on MODIS remote sensing satellite data, and the spatial distribution and seasonal variation characteristic of urban heat island in Inner Mongolia were studied. The results showed that:(1)The urban heat island effect is weak in western Inner Mongolia during the daytime. Except for Jining, the probability of urban heat island effect in the central region has half-and-half trend, which is not as strong as that in the eastern region. The urban heat island effect in the eastern region has the highest probability, especially in Chifeng and Tongliao. The urban heat island effect is more likely to appear at night than the day, some cities even reaching 100% probability. (2) Inner Mongolia urban heat island effect does not show uniform seasonal variation. In daylight, Xilinhaote, Hailar, Jining and Tongliao are likely to have urban heat island effect in winter. Huhhot and Wulanhaote are likely to have urban heat island effect in summer. In nighttime, Huhhot, Jining, Tongliao, Wuhai, Wulanhaote and Xilinhaote are experienced urban heat island effect yearly. Linhe has urban heat island effect only in spring and not other seasons. Chifeng and Dongsheng have urban heat island effect only in autumn and not other seasons. Bayanhaote, Hailaer, Baotou have seasonal variation. (3) On June, July and August, Huhhot shows obvious urban heat island effect, summer is also the season owns the most serious urban heat island effect. Urban heat island effect also shows in winter, and the nighttime urban heat island effect is more serious. (4) Except cold island effect in May, July and December, the rest months in Jining are heat island effect. A weak cold island effect is showed in daylight on July, and the temperature difference between the urban and suburbs is only 0.58℃. A heat island effect is showed in nighttime on July, and the temperature difference between the urban and suburbs is only 1.42℃. Urban heat island effect is showed in daylight in December. In December, the weak cold island effect is observed in nighttime.
SU Yue
,
YU Shan
,
Duwala
,
LIN Hongjin
,
SHAGDAR Gantiganbold
. Research of Inner Mongolia Urban Heat (Cold) Island Effection based on MODIS Data Time Series[J]. Plateau Meteorology, 2019
, 38(6)
: 1263
-1271
.
DOI: 10.7522/j.issn.1000-0534.2018.00156
[1]Herbert J M, Herbert R D, 2002. Simulation of the effects of canyon geometry on thermal climate in city canyons[J]. Mathematics & Computers in Simulation, 59(1/3):243-253.
[2]Howard L, 1833. Climate of London deduced from metrological observations[M]. London:Harvey and Dorton Press(3rd edition), 1-348.
[3]Imhoff M L, Zhang P, Wolfe R E, et al, 2010. Remote sensing of the urban heat island effect across biomes in the continental USA[J]. Remote Sensing of Environment, 114(3):504-513.
[4]Lemonsu A, Valéry M, 2002. Simulation of a summer urban breeze over Paris[J]. Boundary-Layer Meteorology, 104(3):463-490.
[5]Manley G, 1958. On the frequency of snowfall in metropolitan England[J]. Quarterly Journal of the Royal Meteorological Society, 84(359):70-72.
[6]Mao K, Qin Z, Shi J, et al, 2005.A practical split-window algorithm for retrieving land-surface temperature from MODIS data[J]. International Journal of Remote Sensing, 26(15):3181-3204.
[7]Memon R A, Leung D Y C, Chunho L, 2008. A review on the generation, determination and mitigation of urban heat island[J]. Journal of Environmental Sciences, 20(1):120-128.
[8]Streutker D R, 2003. Satellite-measured growth of the urban heat island of Houston, Texas[J]. Remote Sensing of Environment, 85(3):282-289.
[9]Weng Q, Lu D, Schubring J, 2004. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies[J]. Remote Sensing of Environment, 89(4):467-483.
[10]陈云浩, 李京, 李晓兵, 2004.城市空间热环境遥感分析:格局、过程、模拟与影响[M].北京:科学出版社.
[11]邓玉娇, 匡耀求, 黄锋, 等, 2010.基于Landsat/TM资料研究广州城市热岛现象[J].气象, 36(1):26-30.
[12]东高红, 尉英华, 解以扬, 等, 2015.天津地区城市热岛环流与海风环流相互作用的研究[J].气象, 41(12):1447-1455.
[13]都瓦拉, 邓晓东, 玉山, 等, 2008.黑河下游分水对额济纳绿洲植被恢复效果的遥感监测[J].干旱气象, 26(4):67-70.
[14]胡华浪, 陈云岩, 宫阿都, 2005.城市热岛的遥感研究进展[J].国土资源遥感, 65(3):5-9.
[15]黄良美, 邓超冰, 黎宁, 2011.城市热岛效应热点问题研究进展[J].气象与环境学报, 27(4):54-58.
[16]刘玉洁, 杨忠东, 2001. MODIS遥感信息处理原理与算法[M].北京:科学出版社.
[17]刘转年, 阴秀菊, 2008.西安城市热岛效应及气象因素分析[J].干旱区资源与环境, 22(2):87-90.
[18]宋玉强, 刘红年, 朱焱, 等, 2014.城市非均匀性对城市气象特征影响的数值模拟[J].高原气象, 33(6):1579-1588. DOI:10.7522/j.issn.1000-0534.2013.00080.
[19]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.
[20]吴彦樨, 焦利民, 金健飞, 2016.武汉市城市热岛与植被覆盖的空间相关性分析[J].环境科学与技术(11):156-161.
[21]徐军昶, 王勇, 2006.基于卫星遥感的"城市热岛"分析[J].气象, 32(6):71-74.
[22]张赟程, 王晓峰, 张蕾, 等, 2017.海风与热岛耦合对上海强对流天气影响的数值模拟[J].高原气象, 36(3):705-717. DOI:10.7522/j.issn.1000-0534.2016.00056.
[23]赵亚芳, 张宁, 陈燕, 等, 2017.环太湖地表城市热岛长期遥感资料分析[J].高原气象, 36(5):1394-1403. DOI:10.7522/j.issn.1000-0534.2016.00097.
[24]郑玉兰, 苗世光, 包云轩, 等, 2017.建筑物制冷系统人为热排放与气象环境的相互作用[J].高原气象, 36(2):562-574. DOI:10.7522/j.issn.1000-0534.2016.00005.
[25]周纪, 陈云浩, 李京, 等, 2007.基于MODIS数据的雪面温度遥感反演[J].武汉大学学报·信息科学版, 32(8):671-675.
[26]朱焱, 朱莲芳, 徐永明, 等, 2010.基于Landsat卫星资料的苏州城市热岛效应遥感分析[J].高原气象, 29(1):246-252.
[27]祝宁, 王成, 周洪泽, 等, 2003.哈尔滨市瞬时热力场空间格局分析[J].应用生态学报, 14(11):1955-1958.
[28]朱文泉, 潘耀忠, 龙中华, 等, 2005.基于GIS和RS的区域陆地植被NPP估算——以中国内蒙古为例[J].遥感学报, 9(3):300-307.