伊犁河谷2001—2014年地表温度时空分异特征
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摘要
地表温度是地表能量平衡、区域和全球尺度地表物理过程的一个重要因子。为了辨析中国西北干旱区"天山湿岛"——伊犁河谷的地表温度时空分异,采用趋势分析法和空间数据统计法,探讨了2001—2014年不同土地利用/覆盖类型下地表温度时空变化规律,分析地表温度的时空分异特征及原因。结果表明:(1)MODIS LST产品的精度(平均R~2=0.90)能够满足伊犁河谷地表温度时空变化分析的要求;(2)空间上,地表温度呈现出中部高四周低的变化趋势,高温区面积约占总面积的41%,低温区面积约占总面积的23%;时间上,伊犁河谷平均地表温度的年际波动较大,以2013年、2006年、2007年和2008年尤为突出;地表温度的年内变化呈现出单峰型分布,地表温度高值集中在3—8月,最高值出现在7月;(3)不同土地利用/覆盖类型下年均地表温度分布的总体特征为建设用地最高,稀疏草地、旱地等次之,冰川/积雪最低;(4)伊犁河谷地表温度变化趋势呈严重减少、基本不变和轻微增加区域面积分别占5%、37%和26%,以基本不变和轻微增加为主。伊犁河谷地表温度时空变化不仅受大尺度气候变化影响,还受土地类型差异影响,两者共同构成了不同地理区域及景观的温场格局,绿色植被对地表温度时空分布具有重要的调节作用。
Land surface temperature(LST)is an important parameter for surface energy balance,physical processes in regional and global scale.In order to discriminate the characteristics and attributions of LST inWet Island of Tianshan Mountain",Ili River Basin area by the methods of variation trend and spatial statistics,the spatio-temporal distribution rules of LST in different land use types are discussed during recent 14 years(2001-2014).The results demonstrate that:(1)MODIS LST product is applicable for the analysis of spatio-temporal distribution characteristics of LST in Ili River Valley(mean R~2=0.90);(2)The distribution of LST had different spatial patterns obviously in Ili River Valley,The average LST from 2001 to 2014 changed obviously,and the sudden ascent happened in 2013,2006,2008 and 2013;LST values in the center of river area are higher than the marginal areas,the percentage of high temperature area and low temperature area accounted for 41% and 23% respectively;Furthermore,the seasonal variation of LST shows a unimodel pattern,and its peak value occurs in July;(3)The spatial distribution of annual average LST differ according to land cover types:the highest annual average LST is distributed in the construction lands,in the second place is grass land and dry land,then minimum annual average LST is distributed in the glacier and snow cover;(4)The LST trend was classified as severely reduced,basically unchanged and slight increase,and their corresponding percentage of area are 5%,37% and 26% respectively;belong to basically unchanged and slight increase areas of LST trend are dominant.The spatio-temporal variation of LST not only is influenced by the global climate change,but also is affected by temperature field of different land use/cover change in different district and zone.Vegetation cover and its distribution are contributing to the spatio-temporal distribution of regional LST.
Land surface temperature(LST)is an important parameter for surface energy balance,physical processes in regional and global scale.In order to discriminate the characteristics and attributions of LST inWet Island of Tianshan Mountain",Ili River Basin area by the methods of variation trend and spatial statistics,the spatio-temporal distribution rules of LST in different land use types are discussed during recent 14 years(2001-2014).The results demonstrate that:(1)MODIS LST product is applicable for the analysis of spatio-temporal distribution characteristics of LST in Ili River Valley(mean R~2=0.90);(2)The distribution of LST had different spatial patterns obviously in Ili River Valley,The average LST from 2001 to 2014 changed obviously,and the sudden ascent happened in 2013,2006,2008 and 2013;LST values in the center of river area are higher than the marginal areas,the percentage of high temperature area and low temperature area accounted for 41% and 23% respectively;Furthermore,the seasonal variation of LST shows a unimodel pattern,and its peak value occurs in July;(3)The spatial distribution of annual average LST differ according to land cover types:the highest annual average LST is distributed in the construction lands,in the second place is grass land and dry land,then minimum annual average LST is distributed in the glacier and snow cover;(4)The LST trend was classified as severely reduced,basically unchanged and slight increase,and their corresponding percentage of area are 5%,37% and 26% respectively;belong to basically unchanged and slight increase areas of LST trend are dominant.The spatio-temporal variation of LST not only is influenced by the global climate change,but also is affected by temperature field of different land use/cover change in different district and zone.Vegetation cover and its distribution are contributing to the spatio-temporal distribution of regional LST.
引文
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[15]买买提江·买提尼亚,阿里木江·卡斯木.干旱区典型城市下垫面特征及其与地表热环境的关系研究[J].生态环境学报,2015,24(11):1865-1871.
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[18]张宏群,杨元建,荀尚培,等.安徽省植被和地表温度季节变化及空间分布特征[J].应用气象学报,2011,22(2):232-240.
[19]覃志豪,Zhang M H,Karnieli A,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456-466.
[20]Ri C,柳钦火,历华,等.针对Terra/MODIS数据的改进分裂窗地表温度反演算法[J].遥感学报,2013,17(4):830-840.
[21]Mostovoy G V,King R L,Reddy K R,et al.Statistical estimation of daily maximum and minimum air temperatures from MODIS LST data over the state of Mississippi[J].Giscience and Remote Sensing,2006,43(1):78-110.
[22]Vancutsem C,Ceccato P,Dinku I T,et al.Evaluation of MODIS Land surface temperature data to estimate air temperature in different ecosystems over Africa[J].Remote Sensing of Environment,2010,114:449-465.
[23]张军民.伊犁河流域气候资源特点及其时空分布规律研究[J].干旱气象,2006,24(2):1-4.
[24]喻元,白建军,王建博,等.基于MOD16的关中地区实际蒸散发时空特征分析[J].干旱地区农业研究,2015,33(3):245-253.
[25]管延龙,王让会,李成,等.基于MODIS数据的天山区域地表温度时空特征[J].应用生态学报,2015,26(3):681-688.
[26]陈忠升,陈亚宁,李卫红,等.基于生态服务价值的伊犁河谷土地利用变化环境影响评价[J].中国沙漠,2010,30(4):870-877.
[27]加尔肯居马肯·爱特,王文杰,朱海涌,等.基于RS-GIS伊犁河谷土地利用-土地覆盖变化研究[J].中国环境监测,2009,25(2):69-72.
[2]拉巴,拉巴卓玛,陈涛.基于MODIS影像的西藏典型内陆湖泊变化研究及成因分析[J].气象与环境科学,2011,34(3):37-40.
[3]尚杰,杨果,于法稳.中国农业温室气体排放量测算及影响因素研究[J].中国生态农业学报,2015,23(3):354-364.
[4]Luo J,Zhang J,Huang W,et al.Preliminary study on the relationship between land surface temperature and occurrence of yellow rust in winter wheat[J].Disaster Advances,2010,3(4):288-292.
[5]邓晓雅,杨志峰,龙爱华.基于流域水资源合理配置的塔里木河流域生态调度研究[J].冰川冻土,2013,35(6):1600-1609.
[6]王宾宾,马耀明,马伟强.青藏高原那曲地区MODIS地表温度估算[J].遥感学报,2012,16(6):1289-1309.
[7]李红军,雷玉平,李春强,等.地表温度-植被指数特征空间时空尺度效应分析[J].中国生态农业学报,2014,22(10):1252-1258.
[8]热伊莱·卡得尔,玉素甫江·如素力,高倩,等.新疆焉耆盆地地表温度时空分布对LUCC的响应[J].农业工程学报2016,32(20):259-266.
[9]乔丽,吴林荣,张高健.中国近50a地表温度时空变化特征分析[J].水土保持通报,2015,35(5):323-326.
[10]周广胜,王玉辉.土地利用/覆盖变化对气候的反馈作用[J].自然资源学报,1999,14(4):318-322.
[11]李秀彬.全球环境变化研究的核心领域——土地利用/覆被变化的国际研究动向[J].地理学报,1996,51(6):553-557.
[12]Han Z Y,Gao X J,Shi Y,e al.The effects of land cover change on regional climate over the eastern part of Northwest China[J].Atmospheric and Oceanic Science Letters,2015,8(3):153-159.
[13]Chittana P,Megan L,Bertram O,et al.MODIS EVI and LST temporal response for discrimination of tropical land covers[J].Remote Sensing,2015,7(5):6026-6040.
[14]张小伟,何月,蔡菊珍,等.基于GIS的浙江省土地利用/覆盖与地表温度的关系[J].中国农业气象,2010,31(2):295-299.
[15]买买提江·买提尼亚,阿里木江·卡斯木.干旱区典型城市下垫面特征及其与地表热环境的关系研究[J].生态环境学报,2015,24(11):1865-1871.
[16]钱乐祥,丁圣彦.珠江三角洲土地覆盖变化对地表温度的影响[J].地理学报,2005,60(5):761-770.
[17]王之夏,南卓铜,赵林,等.MODIS地表温度产品在青藏高原冻土模拟中的适用性评价[J].冰川冻土,2011,33(1):132-143.
[18]张宏群,杨元建,荀尚培,等.安徽省植被和地表温度季节变化及空间分布特征[J].应用气象学报,2011,22(2):232-240.
[19]覃志豪,Zhang M H,Karnieli A,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456-466.
[20]Ri C,柳钦火,历华,等.针对Terra/MODIS数据的改进分裂窗地表温度反演算法[J].遥感学报,2013,17(4):830-840.
[21]Mostovoy G V,King R L,Reddy K R,et al.Statistical estimation of daily maximum and minimum air temperatures from MODIS LST data over the state of Mississippi[J].Giscience and Remote Sensing,2006,43(1):78-110.
[22]Vancutsem C,Ceccato P,Dinku I T,et al.Evaluation of MODIS Land surface temperature data to estimate air temperature in different ecosystems over Africa[J].Remote Sensing of Environment,2010,114:449-465.
[23]张军民.伊犁河流域气候资源特点及其时空分布规律研究[J].干旱气象,2006,24(2):1-4.
[24]喻元,白建军,王建博,等.基于MOD16的关中地区实际蒸散发时空特征分析[J].干旱地区农业研究,2015,33(3):245-253.
[25]管延龙,王让会,李成,等.基于MODIS数据的天山区域地表温度时空特征[J].应用生态学报,2015,26(3):681-688.
[26]陈忠升,陈亚宁,李卫红,等.基于生态服务价值的伊犁河谷土地利用变化环境影响评价[J].中国沙漠,2010,30(4):870-877.
[27]加尔肯居马肯·爱特,王文杰,朱海涌,等.基于RS-GIS伊犁河谷土地利用-土地覆盖变化研究[J].中国环境监测,2009,25(2):69-72.