贵州省不同地貌类型区的MOD16蒸散发变化特征
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摘要
探究贵州省喀斯特山区蒸散发时空演变特征,对该区水资源的高效利用与生态环境建设具有重要意义。基于MOD16产品遥感数据,统计分析了贵州省2000—2014年地表蒸散发量的年际和年内时空变化状况,并探讨了不同地貌类型蒸散发量的差异性变化特征。结果表明:(1) 2000—2014年,贵州省蒸散发量年际变化总体趋势不明显,蒸散发年均值为854.95 mm/a,多年平均蒸散发空间分布呈现出东南高、西北低、中部居中的三级阶梯分布格局;(2)不同地貌类型蒸散发量的月均值呈现先上升后下降的单峰变化趋势,最高、最低分别出现在7月和1月,各地貌逐年各月蒸散发均值与整体差异明显;(3)从地貌类型看,多年均值蒸散发量由大到小依次为峰丛洼地、非喀斯特地貌、岩溶槽谷、岩溶高原、岩溶断陷盆地、岩溶峡谷;(4)未来蒸散发年际变化空间分布大致呈现东西部减少、中部增加的趋势。
The study on the temporal and spatial evolution characteristics of evapotranspiration in karst mountain area of Guizhou Province is of great significance to the efficient utilization of water resources and the construction of ecological environment. Based on the remote sensing data set of MOD16 products, the annual, interannual and intra-annual spatiotemporal changes of surface evapotranspiration in karst mountain from 2000 to 2014 were statistically analyzed to explore the differences of characteristics of evapotranspiration of different types and landforms in karst basin. The results showed that:(1) from 2000 to 2014, the amount of evapotranspiration in Guizhou mountainous area of karst annual change trend was not obvious, the average annual evapotranspiration was 854.95 mm, the spatial distribution of average evapotranspiration showed the higher values in the southeast, the lower values in northwest, the moderate values in the center, presenting three-ladder step distribution pattern;(2) the trend of monthly mean change in each basin showed a single peak change trend at first and then decreased; the highest and lowest ones appeared in July and January, respectively, and the mean and overall difference between years of evapotranspiration in different geomorphic types were obvious;(3) from the geomorphological type, the annual average evapotranspiration decreased in the order: peak cluster depressions>non karst landform>karst valley>karst plateau>karst faulted basin>karst gorge;(4) in the future, the spatial distribution of evapotranspiration will mainly present the pattern of the decreasing trend in the eastern and western regions and increasing trend in the central region.
The study on the temporal and spatial evolution characteristics of evapotranspiration in karst mountain area of Guizhou Province is of great significance to the efficient utilization of water resources and the construction of ecological environment. Based on the remote sensing data set of MOD16 products, the annual, interannual and intra-annual spatiotemporal changes of surface evapotranspiration in karst mountain from 2000 to 2014 were statistically analyzed to explore the differences of characteristics of evapotranspiration of different types and landforms in karst basin. The results showed that:(1) from 2000 to 2014, the amount of evapotranspiration in Guizhou mountainous area of karst annual change trend was not obvious, the average annual evapotranspiration was 854.95 mm, the spatial distribution of average evapotranspiration showed the higher values in the southeast, the lower values in northwest, the moderate values in the center, presenting three-ladder step distribution pattern;(2) the trend of monthly mean change in each basin showed a single peak change trend at first and then decreased; the highest and lowest ones appeared in July and January, respectively, and the mean and overall difference between years of evapotranspiration in different geomorphic types were obvious;(3) from the geomorphological type, the annual average evapotranspiration decreased in the order: peak cluster depressions>non karst landform>karst valley>karst plateau>karst faulted basin>karst gorge;(4) in the future, the spatial distribution of evapotranspiration will mainly present the pattern of the decreasing trend in the eastern and western regions and increasing trend in the central region.
引文
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[11]王蕊,张继权,曹永强,等.基于SEBS模型估算辽西北地区蒸散发及时空特征[J].水土保持研究,2017,24(6):382-387.
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[15]邓兴耀,姚俊强,刘志辉,等.2000—2014年天山山区蒸散发时空动态特征[J].水土保持研究,2017,24(4):266-273.
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[20]张鑫,庄文化,李洪宇,等.中国西南地区蒸发皿系数Kp研究[J].灌溉排水学报,2016,35(9):109-112.
[21]廖晓芳,钱胜,彭彦铭,等.蒸发皿蒸发和潜在蒸散发对气候变化的响应[J].人民黄河,2010,32(11):42-44.
[22]贵州省水利厅.贵州省水资源公报(2000—2014)[R].贵阳:贵州省水利厅,2001-2015.
[23]王飞宇,占车生,胡实,等.典型山地蒸散发时空变化模拟研究[J].资源科学,2017,39(2):276-287.
[24]Kun Q, Shuigen Y, Qin Z. Evapotranspiration simulation with different scenarios analysises of Fangshan District by SWAT model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2011,27(1):99-105.
[25]阿迪来·乌甫,玉素甫江·如素力,热伊莱·卡得尔,等.基于MODIS数据的新疆地表蒸散量时空分布及变化趋势分析[J].地理研究,2017,36(7):1245-1256.
[26]Huang R, Chen J, Gang H. Characteristics and variations of the East Asian monsoon system and its impacts on climate disasters in China[J]. Advances in Atmospheric Sciences, 2007,24(6):993-1023.
[27]赫晓慧,梁冰洁,郭恒亮,等.基于MOD16的北洛河流域蒸散发空间格局演变研究[J].水土保持通报,2017,37(1):177-182.
[28]Zhang Q, Xu C Y, Chen X. Reference evapotranspiration changes in China: Natural processes or human influences[J]. Theoretical & Applied Climatology, 2011,103(3/4):479-488.
[29]肖荣波,欧阳志云,王效科,等.中国西南地区石漠化敏感性评价及其空间分析[J].生态学杂志,2005,1(5):86-89.
[30]吴端耀,罗娅,王青,等.2001—2014年贵州省林草植被覆盖度时空变化及其与气温降水变化的关系[J].贵州师范大学学报:自然科学版,2017,35(1):1-7,29.
[2]Tang R, Li Z L, Sun X. Temporal upscaling of instantaneous evapotranspiration: An intercomparison of four methods using eddy covariance measurements and MODIS data[J]. Remote Sensing of Environment, 2013,138:102-118.
[3]凡非得,王克林,熊鹰,等.西南喀斯特区域水土流失敏感性评价及其空间分异特征[J].生态学报,2011,31(21):6353-6362.
[4]田雷,杨胜天,王玉娟.应用遥感技术研究贵州春季蒸散发空间分异规律[J].水土保持研究,2008,15(1):87-91.
[5]侯文娟,高江波,彭韬,等.结构—功能—生境框架下的西南喀斯特生态系统脆弱性研究进展[J].地理科学进展,2016,35(3):320-330.
[6]Yang Y, Anderson M C, Gao F, et al. Daily landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion[J]. Hydrology & Earth System Sciences, 2017,21(2):1017-1037.
[7]凯丽比努尔·克热木,海米提·依米提,麦麦提吐尔逊·艾则孜.喀什地区1957—2013年潜在蒸散量变化及其影响因子[J].水土保持研究,2017,24(5):247-251.
[8]曲迪,范文义,杨金明,等.塔河森林生态系统蒸散发的定量估算[J].应用生态学报,2014,25(6):1652-1660.
[9]Xing Z, Chow L, Meng F R, et al. validating evapotranspiration equations using Bowen Ratio in New Brunswick, Maritime, Canada[J]. Sensors, 2008,8(1):412-428.
[10]周彦昭,周剑,李妍,等.利用SEBAL和改进的SEBAL模型估算黑河中游戈壁、绿洲的蒸散发[J].冰川冻土,2014,36(6):1526-1537.
[11]王蕊,张继权,曹永强,等.基于SEBS模型估算辽西北地区蒸散发及时空特征[J].水土保持研究,2017,24(6):382-387.
[12]Li C B, Zhang X L, Qi J G, et al. A case study of regional eco-hydrological characteristics in the Tao River Basin, northwestern China, based on evapotranspiration estimated by a coupled Budyko Equation-crop coefficient approach[J]. Science China Earth Sciences, 2015,58(11):2103-2112.
[13]Mu Q, Zhao M, Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 2011,115(8):1781-1800.
[14]杨秀芹,王磊,王凯.基于MOD16产品的淮河流域实际蒸散发时空分布[J].冰川冻土,2015,37(5):1343-1352.
[15]邓兴耀,姚俊强,刘志辉,等.2000—2014年天山山区蒸散发时空动态特征[J].水土保持研究,2017,24(4):266-273.
[16]冯飞,姚云军,张彦彬,等.基于MOD16产品的三江平原蒸散量时空分布特征分析[J].生态环境学报,2015(11):1858-1864.
[17]何慧娟,卓静,董金芳,等.基于MOD16监测陕西省地表蒸散变化[J].干旱区地理,2015,38(5):960-967.
[18]姜艳阳,王文,周正昊. MODIS MOD16蒸散发产品在中国流域的质量评估[J].自然资源学报,2017,32(3):517-528.
[19]Tong X, Wang K, Yue Y, et al. Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China[J]. International Journal of Applied Earth Observation & Geoinformation, 2017,54:105-113.
[20]张鑫,庄文化,李洪宇,等.中国西南地区蒸发皿系数Kp研究[J].灌溉排水学报,2016,35(9):109-112.
[21]廖晓芳,钱胜,彭彦铭,等.蒸发皿蒸发和潜在蒸散发对气候变化的响应[J].人民黄河,2010,32(11):42-44.
[22]贵州省水利厅.贵州省水资源公报(2000—2014)[R].贵阳:贵州省水利厅,2001-2015.
[23]王飞宇,占车生,胡实,等.典型山地蒸散发时空变化模拟研究[J].资源科学,2017,39(2):276-287.
[24]Kun Q, Shuigen Y, Qin Z. Evapotranspiration simulation with different scenarios analysises of Fangshan District by SWAT model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2011,27(1):99-105.
[25]阿迪来·乌甫,玉素甫江·如素力,热伊莱·卡得尔,等.基于MODIS数据的新疆地表蒸散量时空分布及变化趋势分析[J].地理研究,2017,36(7):1245-1256.
[26]Huang R, Chen J, Gang H. Characteristics and variations of the East Asian monsoon system and its impacts on climate disasters in China[J]. Advances in Atmospheric Sciences, 2007,24(6):993-1023.
[27]赫晓慧,梁冰洁,郭恒亮,等.基于MOD16的北洛河流域蒸散发空间格局演变研究[J].水土保持通报,2017,37(1):177-182.
[28]Zhang Q, Xu C Y, Chen X. Reference evapotranspiration changes in China: Natural processes or human influences[J]. Theoretical & Applied Climatology, 2011,103(3/4):479-488.
[29]肖荣波,欧阳志云,王效科,等.中国西南地区石漠化敏感性评价及其空间分析[J].生态学杂志,2005,1(5):86-89.
[30]吴端耀,罗娅,王青,等.2001—2014年贵州省林草植被覆盖度时空变化及其与气温降水变化的关系[J].贵州师范大学学报:自然科学版,2017,35(1):1-7,29.
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