流域内蒸散特征及其变化原因对于保持能量平衡和水循环有关键作用。基于MOD16遥感数据集,分析东江流域地表蒸散发年际和年内的时空分布规律以及不同土地覆被类型的地表蒸散发时空特征。结果表明:①东江流域蒸散值(ET)整体呈中游>下游>上游的态势,而潜在蒸散发值(PET)呈下游>中游>上游的趋势。②10 a中,ET值波动较小,而PET值则相对波动较大,二者在2014年后均有增加趋势。③年内各月ET呈单峰型,ET值较高的月份集中在5—10月,最高月份在9月,ET值较低的月份集中在12月—次年2月,最低月份为2月;其次,流域内四季的ET均值表现为秋季>夏季>春季>冬季。④不同土地利用类型下,年尺度上,ET表现为裸地>耕地>城市用地>草地>林地;PET表现为城市用地>耕地>草地>林地>裸地;月尺度上,ET与年尺度基本一致,且冬季ET变异系数较高,夏季较低;在林地,四季ET的变异系数均较低,离散程度小。研究结果为预防东江流域的旱涝灾害提供理论依据。
Abstract
Evapotranspiration plays a key role in maintaining the energy balance and water circulation in a basin. On the basis of MOD16 remote sensing dataset, we analyzed the temporal and spatial distribution characteristics of surface evapotranspiration in Dongjiang River Basin on inter-annual and annual scales, and researched the temporal and spatial characteristics of surface evapotranspiration of different land cover types. Results illustrated that: (1) The amount of evapotranspiration (ET) in the midstream of Dongjiang River Basin is larger than that in the downstream and the upstream in sequence, while the amount of potential evapotranspiration (PET) follows the order of downstream > midstream > upstream. (2) On inter-annual (one decade) scale, ET fluctuates little, whereas PET fluctuates remarkably, both presenting rising trends after 2014. (3) On annual scale, ET displays a single peak, mounting to the top in September and concentrating in May-October, while dropping to the valley in February and remaining low from December to next February. The mean value of ET in Autumn is the largest, followed by that in Summer, Spring, and Winter in sequence. (4) In terms of land use types, the annual ET on bare land is the largest, followed by cultivated field, urban area, grassland, and woodland in sequence, while PET shows an order of urban area > cultivated field > grassland > woodland > bare land. The monthly ET has a same regularity in general. In winter, the coefficient of variation of ET is high and in summer is low. The coefficient of variation of ET on woodland is low and the degree of dispersion is small. The research results are of great significance for the prevention of drought and waterlogging in the Dongjiang River Basin.
关键词
地表蒸散发 /
东江流域 /
时空特征 /
MOD16 /
ET /
PET
Key words
surface evapotranspiration /
Dongjiang River Basin /
temporal and spatial characteristics /
MOD16 /
ET /
PET
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参考文献
[1] 莫兴国,林忠辉,李宏轩,等.基于过程模型的河北平原冬小麦产量和蒸散量模拟[J] .地理研究,2004, 23(5): 623-631.
[2] 高 歌,陈德亮,任国玉,等.1956-2000年中国潜在蒸散量变化趋势[J] .地理研究,2006, 25(3): 378-387.
[3] LIU J, CHEN J M, CHILAR J. Mapping Evapotranspiration Based on Remote Sensing: An Application to Canada’s Landmass[J] . Water Resources Research, 2003, 280: 1189-1200.
[4] 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.
[5] 王兆礼.气候与土地利用变化的流域水文系统响应:以东江流域为例[D] . 广州:中山大学,2007.
[6] 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.
[7] 张 静,任志远. 基于MOD1G的汉江流域地表蒸散发时空特征[J] . 地理科学,2017,37(2):274-282.
[8] 吴桂平,刘元波,赵晓松,等. 基于MOD16产品的鄱阳湖流域地表蒸散量的时空分布特征[J] .地理研究,2013, 32(4): 617-627.
[9] 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.
[10] 范伶俐,张光亚. 广东实际蒸散发与潜在蒸散发的关系研究[J] .广东海洋大学学报,2013,33(3): 71-77.
[11] 刘小莽,郑红星,刘昌明,等. 海河流域潜在蒸散发的气候敏感性分析[J] . 资源科学,2009,31(9):1470-1476.
[12] 刘佳丽,周天财,于 欢,等.西藏近25a湖泊变迁及其驱动力分析[J] .长江科学院院报,2018,35(2):145-150.
[13] LI Yan, HUANG Chun-lin, HOU Jin-liang, et al. Mapping Daily Evapotranspiration Based on Spatiotemporal Fusion of ASTER and MODIS Images over Irrigated Agricultural Areas in the Heihe River Basin, Northwest China[J] . Agricultural and Forest Meteorology, 2017, 244-245: 82-97.
[14] SHE Dun-xian, XIA Jun, ZHANG Yong-yong. Changes in Reference Evapotranspiration and Its Driving Factors in the Middle Reaches of Yellow River Basin, China[J] . Science of the Total Environment, 2017, 607-608: 1151-1162.
[15] GAO Zhen-dong, HE Jun-shi, DONG Ke-bao, et al. Trends in Reference Evapotranspiration and Their Causative Factors in the West Liao River basin, China[J] . Agricultural and Forest Meteorology, 2017, 232: 706-777.
[16] 张宏锋,袁素芬.东江流域森林水源涵养功能空间格局评价[J] .生态学报,2016,36(24) :8120-8127.
[17] 俞 乐,王 杰,李雪草. 基于多源数据集成的多分辨率全球地表覆盖制图[J] .中国科学:地球科学, 2014,44(8):1646-1660.
[18] 吴 娇, 李恒凯, 雷 军. 东江源区植被覆盖时空演变遥感监测与分析[J] . 江西理工大学学报, 2017, 38(1): 29-36.
[19] 伶斯琴,张继权,哈 斯,等. 基于MOD16的锡林郭勒草原14年蒸散发时空分布特征[J] .中国草地学报,2016,38(4): 83-91.
[20] 蔺文静,苏中波,董 华.基于MODIS产品影像及陆面能量平衡系统(SEBS)的河北平原区域蒸散估算[J] .遥感学报,2008,12(4):663-672.
[21] 李恒凯,雷 军,杨 柳. 基于Landsat影像的离子稀土矿区植被覆盖度提取及景观格局分析[J] .农业工程学报,2016,32(10): 267-276.