[1]邱丽莎,张立峰,何 毅,等.2000-2018年祁连山蒸散发时空变化及影响因素[J].水土保持研究,2020,27(03):210-217.
　QIU Lisha,ZHANG Lifeng,HE Yi,et al.Spatiotemporal Variations of Evapotranspiration and Influence Factors in Qilian Mountain from 2000 to 2018[J].Research of Soil and Water Conservation,2020,27(03):210-217.
点击复制

2000-2018年祁连山蒸散发时空变化及影响因素

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 27 期数: 2020年03期 页码: 210-217 栏目: 目次 出版日期: 2020-04-20
Title:
Spatiotemporal Variations of Evapotranspiration and Influence Factors in Qilian Mountain from 2000 to 2018
文章编号:
1005-3409(2020)03-0210-08
作者:
邱丽莎1,2,3, 张立峰1,2,3, 何 毅1,2,3, 陈有东1,2,3, 王文辉1,2,3
(1.兰州交通大学 测绘与地理信息学院, 兰州 730700; 2.地理国情监测技术应用国家地方联合工程研究中心, 兰州 730700; 3.甘肃省地理国情监测工程实验室, 兰州 730700)
Author(s):
QIU Lisha1,2,3, ZHANG Lifeng1,2,3, HE Yi1,2,3, CHEN Youdong1,2,3, WANG Wenhui1,2,3
(1.Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730700, China; 2.National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730700, China; 3.Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730700, China)
关键词:
MODIS ET;  气候因子;  MODIS NDVI;  祁连山
Keywords:
MODIS ET;  climatic factors;  MODIS NDVI;  Qilian Mountain
分类号:
P426.2
文献标志码:
A
摘要:
为研究不同时期祁连山ET变化特征及其主要影响因子,基于2000—2018年的祁连山MOD16 ET数据和气象数据,利用趋势分析及相关性分析等方法,对比分析了不同时期祁连山ET的时空变化特征及其主要影响因子。结果表明:(1)MOD16 ET产品精度能够满足祁连山ET时空变化分析的要求。(2)祁连山ET时间序列在2000—2008年的增加速率为3.02 mm/a,远大于2009—2018年(1.14 mm/a)。2008年以后,由于暖湿化趋势的减缓,ET增加趋势也有所减缓; 空间呈东北高西南低的分布状态,2000—2008年和2009—2018年两个时期面积显著增加分别为21.47%和9.81%。2008年以后研究区中部ET显著减少。(3)不同植被类型表现为草甸ET>耕地ET>林地ET>荒漠ET,其中耕地ET增加最为显著,草甸ET下降最明显。(4)气温和风速对祁连山ET变化影响最为显著,2000—2008年祁连山西北部的暖湿化是ET增加的主要原因。2008年以后,中部地区ET的减小是气候因素和人类活动共同作用的结果。研究可为西北干旱区气候变化决策及水资源配置提供依据。
Abstract:
In order to explore the characteristics of ET in Qilian Mountains and their main influencing factors at different pexiods, based on the MOD16 ET data and meteorological data of Qilian Mountain from 2000 to 2018, we used trend analysis and correlation analysis to analyze the temporal and spatial variation characteristics and main influencing factors on ET of Qilian Mountain in different periods. The results show as follows.(1)The accuracy of MOD16 ET products can meet the requirements of time-space change analysis of Qilian Mountain ET.(2)The increase rate of ET of Qilian Mountain in the time series of 2000—2008 was 3.02 mm/year, which was much larger than that in the period 2009—2018(1.14 mm/a). After 2008, because the warm and humid trend became slow, the ET increase trend also presented the slowing trend. The spatial distribution was characterized as high ET in northwest and low ET in southeast, and the significant increases of ET in the two periods 2000—2008 and 2009—2018 were 21.47% and 9.81%, respectively. ET in the central part of the study area decreased significantly after 2008.(3)ET of Qilian Mountain was positively correlated with NDVI, and the area where the ET of Qilian Mountain was extremely significantly positively correlated with NDVI accounted for 21.27% of the total area. The ETs of different vegetation types decreased in the order: meadow ET>cultivated land ET>forest ET>desert ET, and the increase of cultivated land ET was the most significant, and the decline of meadow ET was the most obvious.(4)Temperature and wind speed had the most significant impact on the ET changes in Qilian Mountain. The warming and humidification of the northwestern Qilian Mountains was the main reason for the increase of ET from 2000 to 2008. The reduction of ET in the central region was the result of the interaction of climatic factors and human activities after 2008. This study can Provide a basis for climate change decision-making and water resource allocation in arid regions of the Northwest.

参考文献/References:

[1] Zhang T, Chen Y. Analysis of dynamic spatiotemporal changes in actual evapotranspiration and its associated factors in the Pearl River Basin based on MOD16[J]. Water, 2017,9(11):832-850.
[2] Ramoelo A, Majozi N, Mathieu R, et al. Validation of global evapotranspiration product(mod16)using flux tower data in the African Savanna, South Africa[J]. Remote Sensing, 2014,6(8):7406-7423.
[3] 邓兴耀,刘洋,刘志辉,等.中国西北干旱区蒸散发时空动态特征[J].生态学报,2017,37(9):2994-3008.
[4] 张静,任志远.基于MOD16的汉江流域地表蒸散发时空特征[J].地理科学,2017,37(2):274-282.
[5] 赵燊,陈少辉.基于台站和MOD16数据的山东省蒸散及潜在蒸散时空变化[J].地理科学进展,2017,36(8):1040-1047.
[6] 曹广超,张航,曹生奎,等.祁连山南坡潜在蒸散量变化特征及其影响因子分析[J].青海师范大学学报(自科版),2016,32(3):43-50.
[7] Zheng C, Wang Q. Spatiotemporal variations of reference evapotranspiration in recent five decades in the arid land of Northwestern China[J]. Hydrological Processes, 2014,28(25):6124-6134.
[8] 刘昌明,张丹.中国地表潜在蒸散发敏感性的时空变化特征分析[J].地理学报,2011,66(5):579-588.
[9] 吴霞,王培娟,霍治国,等.1961—2015年中国潜在蒸散时空变化特征与成因[J].资源科学,2017,39(5):964-977.
[10] 黄会平,曹明明,宋进喜,等.1957—2012年中国参考作物蒸散量时空变化及其影响因子分析[J].自然资源学报,2015,30(2):315-326.
[11] 刘宪锋,潘耀忠,张锦水,等.1960—2011年西北五省潜在蒸散的时空变化[J].应用生态学报,2013,24(9):2564-2570.
[12] 张彩霞,花婷,郎丽丽.河西地区潜在蒸散发量变化及其敏感性分析[J].水土保持研究,2016,23(4):357-362.
[13] 李念,孙维君,秦翔,等.祁连山老虎沟地区高寒草甸蒸散发估算[J].干旱区资源与环境,2016,30(6):173-178.
[14] 田辉,文军,马耀明,等.夏季黑河流域蒸散发量卫星遥感估算研究[J].水科学进展,2009,20(1):18-24.
[15] 刘春雨,赵军,刘英英,等.石羊河流域蒸散发量遥感估算及时空格局分析[J].国土资源遥感,2011,23(3):117-122.
[16] 戴声佩,张勃.基于GIS的祁连山植被NDVI对气温降水的旬响应分析[J].生态环境学报,2010,19(1):140-145.
[17] 徐浩杰,杨太保,曾彪.2000—2010年祁连山植被MODIS NDVI的时空变化及影响因素[J].干旱区资源与环境,2012,26(11):87-91.
[18] 武正丽,贾文雄,赵珍,等.2000—2012年祁连山植被覆盖变化及其与气候因子的相关性[J].干旱区地理:汉文版,2015,38(6):1241-1252.
[19] 张存杰,郭妮.祁连山区近40年气候变化特征[J].气象,2002,28(12):33-39.
[20] Guo X Y, Zhang H Y, Wang Y Q, et al. Comparison of the spatio-temporal dynamics of vegetation between the Changbai Mountains of eastern Eurasia and the Appalachian Mountains of eastern North America[J]. Journal of Mountain Science, 2018,15(1):1-12.
[21] 马磊,闫浩文,何毅,等.2001—2015年喜马拉雅南麓地区植被变化遥感监测[J].干旱区地理,2017,40(2):405-414.
[22] Ling H, Wenjie F, Huazhong R, et al. Spatiotemporal dynamics in vegetation GPP over the Great Khingan Mountains using GLASS products from 1982 to 2015[J]. Remote Sensing, 2018,10(3):488-510.
[23] 刘波,肖子牛,马柱国.中国不同干湿区蒸发皿蒸发和实际蒸发之间关系的研究[J].高原气象,2010,29(3):629-636.
[24] 贾文雄.近50年来祁连山及河西走廊降水的时空变化[J].地理学报,2012,67(5):631-644.
[25] Chen X, Mo X, Hu S, et al. Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014[J]. Journal of Geographical Sciences, 2017,27(6):661-680.
[26] 段春锋,缪启龙,曹雯.西北地区参考作物蒸散变化特征及其主要影响因素[J].农业工程学报,2011,27(8):77-83.
[27] 刘普幸,卓玛兰草.甘肃省1960—2008年潜在蒸散量时空变化及其影响因子[J].自然资源学报,2012,27(9):1561-1571.
[28] 刘艳艳,张多勇,张耀宗,等.1958—2012年河西走廊风能资源时空变化特征及影响因素分析[J].中国农业资源与区划,2016,37(10):188-195.
[29] Guan Q, Yang L, Pan N, et al. Greening and browning of the Hexi Corridor in Northwest China:Spatial patterns and responses to climatic variability and anthropogenic drivers[J]. Remote Sensing, 2018,10(8):1270.
[30] 蒋友严,杜文涛,黄进,等.2000—2015年祁连山植被变化分析[J].冰川冻土,2017,39(5):1130-1136.
[31] 曹雯,申双和,段春锋.西北地区生长季参考作物蒸散变化成因的定量分析[J].地理学报,2011,66(3):407-415.
[32] 施雅风,沈永平,胡汝骥.西北气候由暖干向暖湿转型的信号、影响和前景初步探讨[J].冰川冻土,2002,24(3):219-226.
[33] 黄小燕,张明军,贾文雄,等.中国西北地区地表干湿变化及影响因素[J].水科学进展,2011,22(2):151-159.
[34] 贾文雄,何元庆,李宗省,等.祁连山及河西走廊气候变化的时空分布特征[J].中国沙漠,2008,28(6):1151-1155.
[35] 张克新,潘少明,曹立国.1961—2010年河西地区平均风速时空变化趋势分析[J].地理科学,2014,34(11):1404-1408.

相似文献/References:

[1]乔雨宁,董从国,黄 敏,等.黄土高原不同植被带刺槐生态化学计量特征[J].水土保持研究,2020,27(04):31.
　QIAO Yuning,DONG Congguo,HUANG Min,et al.Ecological Stoichiometric Characteristics of Robinia pseudoacacia in Different Vegetation Zones on the Loess Plateau[J].Research of Soil and Water Conservation,2020,27(03):31.
[2]王 焕,梅再美.贵州省地表蒸散发时空变化及其与气候因子的关系[J].水土保持研究,2020,27(05):221.
　WANG Huan,MEI Zaimei.Spatiotemporal Changes of Evapotranspiration and Their Relationship with Climate Factors in Guizhou Province[J].Research of Soil and Water Conservation,2020,27(03):221.
[3]孙 琪,徐长春,罗映雪,等.新疆不同土地利用类型WUE的时空变化及其对气候因子的响应[J].水土保持研究,2020,27(05):237.
　SUN Qi,XU Changchun,LUO Yingxue,et al.Spatiotemporal Variation of WUE of Different Land Use Types and Its Response to Climate Factors in Xinjiang[J].Research of Soil and Water Conservation,2020,27(03):237.
[4]蒙 雨,但文红,王 焕.基于MOD16的乌江流域地表蒸散发时空特征及影响因素[J].水土保持研究,2020,27(06):139.
　MENG Yu,DAN Wenhong,WANG Huan.Spatiotemporal Characteristics of Evapotranspiration and Its Affecting Factors in Wujiang Basin Based on MOD16[J].Research of Soil and Water Conservation,2020,27(03):139.
[5]刘 炜,焦树林,李银久,等.喀斯特地表植被覆盖变化及其与气候因子相关性分析[J].水土保持研究,2021,28(03):203.
　LIU Wei,JIAO Shulin,LI Yinjiu,et al.Analysis on the Correlation Between Vegetation Cover of Land Surface and Climatic Factors in Karst Area[J].Research of Soil and Water Conservation,2021,28(03):203.
[6]王 一,郝利娜,赵美龄,等.2001—2018年重庆植被NDVI变化及其对气候因子和人类活动的响应[J].水土保持研究,2021,28(05):222.
　WANG Yi,HAO Lina,ZHAO Meiling,et al.Variation of Vegetation NDVI and Its Response to Climatic Factors and Human Activities in Chongqing from 2001 to 2018[J].Research of Soil and Water Conservation,2021,28(03):222.
[7]王 蕾,赵 霞,张琛悦,等.基于RWEQ模型的茫崖市防风固沙功能评估及敏感地类识别[J].水土保持研究,2023,30(01):144.[doi:10.13869/j.cnki.rswc.2023.01.024]
　WANG Lei,ZHAO Xia,ZHANG Chenyue,et al.Assessment of Windbreak and Sand Fixation Function and Identification of Sensitive Landuse Types in Mangai City Based on RWEQ Model[J].Research of Soil and Water Conservation,2023,30(03):144.[doi:10.13869/j.cnki.rswc.2023.01.024]
[8]欧阳习军,董晓华,魏 榕,等.青藏高原植被生长季NDVI时空变化及对气候因子的响应分析[J].水土保持研究,2023,30(02):220.[doi:10.13869/j.cnki.rswc.2023.02.047]
　OUYANG Xijun,DONG Xiaohua,WEI Rong,et al.Analysis of Spatiotemporal Variation of NDVI in the Vegetation Growing Season and Responses to Climatic Factors in Qinghai-Tibet Plateau[J].Research of Soil and Water Conservation,2023,30(03):220.[doi:10.13869/j.cnki.rswc.2023.02.047]

备注/Memo

收稿日期:2019-08-09 修回日期:2019-08-23资助项目:甘肃省自然科学基金(17JR5RA095); 兰州交通大学天佑青年托举人才计划; 甘肃省教育厅”兰州市主城区地面沉降InSAR监测”(2019A-043); 中国博士后科学基金(2019M660092XB); 兰州交通大学青年基金(2017002); 兰州交通大学优秀平台支持(201806)第一作者:邱丽莎(1993—),女,甘肃张掖人,硕士研究生,研究方向为生态环境遥感。E-mail:lisa_qiu@lz.acmlife.org通信作者:张立峰(1982—),男,吉林农安人,博士,副教授,研究方向为生态环境遥感。E-mail:119273207@qq.com

更新日期/Last Update: 2020-04-30