青海湖沙柳河流域蒸散发时空变化特征

doi:10.13866/j.azr.2023.03.03

干旱区研究 ›› 2023, Vol. 40 ›› Issue (3): 358-372.doi: 10.13866/j.azr.2023.03.03 cstr: 32277.14.AZR.20230303

青海湖沙柳河流域蒸散发时空变化特征

康利刚^1,²(),曹生奎^1,^2,³(),曹广超^1,^2,³,杨羽帆⁴,严莉^1,²,王有财^1,²

1.青海师范大学地理科学学院，青海省自然地理与环境过程重点实验室，青海西宁 810008
2.青海师范大学，青藏高原地表过程与生态保育教育部重点实验室，青海西宁 810008
3.青海省人民政府-北京师范大学，高原科学与可持续发展研究院，青海西宁 810008
4.陕西师范大学地理科学与旅游学院，陕西西安 710119

收稿日期:2022-04-22 修回日期:2022-06-28 出版日期:2023-03-15 发布日期:2023-03-31
作者简介:康利刚（1998-），男，硕士研究生，主要从事生态水文与水资源方面的研究. E-mail: 2369564480@qq.com
基金资助:
国家自然科学基金项目(42061008)

Temporal and spatial changes of evapotranspiration in the Shaliu River Basin of Qinghai Lake

KANG Ligang^1,²(),CAO Shengkui^1,^2,³(),CAO Guangchao^1,^2,³,YANG Yufan⁴,YAN Li^1,²,WANG Youcai^1,²

1. Qinghai Provincial Key Laboratory of Physical Geography and Environmental Processes, College of Geographical Sciences, Qinghai Normal University, Xining 810008, Qinghai, China
2. Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining 810008, Qinghai, China
3. Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province & Beijing Normal University, Xining 810008, Qinghai, China
4. School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, Shaanxi, China

Received:2022-04-22 Revised:2022-06-28 Published:2023-03-15 Online:2023-03-31

摘要/Abstract

摘要：

蒸散发（Evapotranspiration，ET）是植被和地面整体向大气输送的水汽总通量，其作为能量平衡及水循环的重要组成部分，不仅影响植物的生长发育，还可通过影响大气环流从而调节气候。本研究基于MODIS影像数据，结合数字高程模型（DEM）数据和气象数据，采用ArcGIS空间分析和数理统计方法对2000—2019年青海湖沙柳河流域近20 a的蒸散发时空特征进行了研究，并探究了流域蒸散发和气象因子的相关关系及其地形和海拔效应。结果表明：（1）青海湖沙柳河流域年均蒸散量在379.7~575.4 mm，平均蒸散量为501.9 mm，年均蒸散量呈显著的增加趋势（P<0.01），线性斜率为5.98 mm·a^-1。（2）青海湖沙柳河流域多年平均蒸散量空间差异显著，其值表现为“中间高，两端低”的分布格局，即河源地区和下游河口三角洲地区低于中游地区。从不同植被类型带的多年平均蒸散量来看，高山草甸带>高山寒漠带>高山草原带。蒸散量较显著增加的区域主要分布在流域下游河口三角洲地区，占流域面积的9.7%，较轻微增加的区域占据流域主体，占流域81.2%。（3）年均蒸散量与年均气温、年均降水量呈显著正相关关系，与年均相对湿度呈不显著负相关，气候变暖是蒸散量增加的根本动力。（4）多年平均蒸散量随坡度的增大呈现“增减增”趋势，但坡度间总体差异不明显。多年平均蒸散量在不同坡向除了平面蒸散量最小外，其余坡向的差异较小。多年平均蒸散量随海拔升高，呈先急剧增加后趋于平缓的趋势。以上结果说明，近20 a来青海湖沙柳河流域气候的暖湿化导致了流域蒸散量增加，其增幅主要集中在海拔较低的高山草原带，海拔较高的高山草甸带和高山寒漠带增幅较小。

关键词: MODIS, 蒸散发, 时空变化, 气象, 地形, 青海湖, 沙柳河流域

Abstract:

Evapotranspiration (ET) is the total flux of water vapor transported by vegetation and the ground as a whole to the atmosphere. As an important part of energy balance and water cycle, ET affects the growth and development of plants and regulates climate by influencing atmospheric circulation. Using MODIS image data combined with digital elevation model data and meteorological data, this work applied ArcGIS spatial analysis and mathematical statistics to study the temporal and spatial characteristics of ET in the Shaliu River Basin of Qinghai Lake in the past 20 years from 2000 to 2019. The correlation between ET and meteorological factors such as air temperature, precipitation, and relative humidity and its topographic effect was also explored. Results show that: (1) the annual average ET in the Shaliu River Basin of Qinghai Lake is between 379.7 and 575.4 mm, and the average ET is 501.9 mm. The overall trend of fluctuation increases significantly with the number of years (P<0.05), and the linear slope is 5.9 mm·a^-1. (2) From a spatial perspective, the average ET in the Shaliu River Basin of Qinghai Lake has significant spatial differences and shows a distribution pattern of “high in the middle and low at both ends,” that is, the ET in the source area and the downstream estuary delta area is lower than that in the middle reaches. The order is as follows: alpine meadow belt > alpine cold desert belt > alpine grassland belt. The areas with a relatively significant increase in ET are mainly distributed in the estuary delta area in the lower reaches of the basin, accounting for 9.7% of the basin area. Meanwhile, the areas with a relatively slight increase occupy the main body of the basin, accounting for 81.2%. (3) The annual ET is related to the annual average temperature, and the annual precipitation is significantly positively correlated with the annual average relative humidity. Warming is the fundamental driving force for the increase in ET. (4) The annual ET showed an “increase-decrease-increase” trend with the increase in the slope, but the overall difference between the slopes is not evident. Except for the smallest plane ET in different slope aspects, the differences in annual ET among the other slope aspects are small. The annual ET increases sharply at first and then gradually with the altitude. The above results show that in the past 20 years, the warming and humidification of the climate in the Shaliu River Basin of Qinghai Lake has led to an increase in ET. However, the band increase is small.

Key words: MODIS, evapotranspiration, spatial and temporal variability, meteorology, topography, Qinghai Lake, Shaliu River Basin

康利刚, 曹生奎, 曹广超, 杨羽帆, 严莉, 王有财. 青海湖沙柳河流域蒸散发时空变化特征[J]. 干旱区研究, 2023, 40(3): 358-372.

KANG Ligang, CAO Shengkui, CAO Guangchao, YANG Yufan, YAN Li, WANG Youcai. Temporal and spatial changes of evapotranspiration in the Shaliu River Basin of Qinghai Lake[J]. Arid Zone Research, 2023, 40(3): 358-372.

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参考文献 34

[1]	李晴, 杨鹏年, 彭亮, 等. 基于MOD16数据的焉耆盆地蒸散量变化研究[J]. 干旱区研究, 2021, 38(2): 351-358.
	[Li Qing, Yang Pengnian, Peng Liang, et al. Study of the variation trend of evapotranspiration in the Yanqi Basin based on MOD16 data[J]. Arid Zone Research, 2021, 38(2): 351-358.]
[2]	Lu X, Zang C, Burenina T. Study on the variation in evapotranspiration in different period of the Genhe River Basin in China[J]. Physics and Chemistry of the Earth, Parts A/B/C, 2020, 120: 102902. doi: 10.1016/j.pce.2020.102902
[3]	Huntington T G. Evidence for intensification of the global water cycle: Review and synthesis[J]. Journal of Hydrology, 2006, 319(1-4): 83-95. doi: 10.1016/j.jhydrol.2005.07.003
[4]	Yu L, Josey S A, Bingham F M, et al. Intensification of the global water cycle and evidence from ocean salinity: A synthesis review[J]. Annals of the New York Academy of Sciences, 2020, 1472(1): 76-94. doi: 10.1111/nyas.14354 pmid: 32386251
[5]	史孟琦, 袁喆, 史晓亮, 等. 基于GLDAS-NOAH的长江流域蓝绿水资源时空变化特征[J]. 长江科学院院报, 2022, 39(10): 38-44, 53.
	[Shi Mengqi, Yuan Zhe, Shi Xiaoliang, et al. Spatial and temporal variation characteristics of blue and green water resources in the Yangtze River Basin based on GLDAS-NOAH[J]. Journal of Yangtze River Scientific Research Institute, 2022, 39(10): 38-44, 53.]
[6]	杨晓甜, 张建云, 鲍振鑫, 等. 黄淮海流域实际蒸散发时空演变规律分析[J]. 水利水运工程学报, 2022, 44(3): 12-22.
	[Yang Xiaotian, Zhang Jianyun, Bao Zhenxin, et al. Temporal and spatial distribution characteristics of evapotranspiration in the Huang-Huai-Hai River Basin[J]. Hydro-Science and Engineering, 2022, 44(3): 12-22.]
[7]	郭晓彤, 孟丹, 蒋博武, 等. 基于MODIS蒸散量数据的淮河流域蒸散发时空变化及影响因素分析[J]. 水文地质工程地质, 2021, 48(3): 45-52.
	[Guo Xiaotong, Meng Dan, Jiang Bowu, et al. Spatio-temporal change and influencing factors of evapotranspiration in the Huaihe River Basin based on MODIS evapotranspiration data[J]. Hydrogeology& Engineering Geology, 2021, 48(3): 45-52.]
[8]	梁红闪, 王丹, 郑江华. 伊犁河流域地表蒸散量时空特征分析[J]. 灌溉排水学报, 2020, 39(7): 100-110.
	[Liang Hongshan, Wang Dan, Zheng Jianghua. Temporal and spatial characteristics of surface evapotranspiration in the Ili River Basin[J]. Journal of Irrigation and Drainage, 2020, 39(7): 100-110.]
[9]	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(6): 139-145.
	[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 Conversation, 2020, 27(6): 139-145.]
[10]	褚荣浩, 李萌, 谢鹏飞, 等. 安徽省近20年地表蒸散和干旱变化特征及其影响因素分析[J]. 生态环境学报, 2021, 30(6): 1229-1239. doi: 10.16258/j.cnki.1674-5906.2021.06.014
	[Chu Ronghao, Li Meng, Xie Pengfei, et al. Characteristics and influencing factors of surface evapotranspiration and drought in Anhui Province during recent 20 years[J]. Ecology and Environmental Sciences, 2021, 30(6): 1229-1239.] doi: 10.16258/j.cnki.1674-5906.2021.06.014
[11]	温媛媛, 赵军, 王炎强, 等. 基于MOD16的山西省地表蒸散发时空变化特征分析[J]. 地理科学进展, 2020, 39(2): 255-264. doi: 10.18306/dlkxjz.2020.02.007
	[Wen Yuanyuan, Zhao Jun, Wang Yanqiang, et al. Spatiotemporal variation characteristics of surface evapotranspiration in Shanxi Province based on MOD16[J]. Progress in Geography, 2020, 39(2): 255-264.] doi: 10.18306/dlkxjz.2020.02.007
[12]	姚檀栋, 陈发虎, 崔鹏, 等. 从青藏高原到第三极和泛第三极[J]. 中国科学院院刊, 2017, 32(9): 924-931.
	[Yao Tandong, Chen Fahu, Cui Peng, et al. From Tibetan Plateau to Third Pole and Pan-Third Pole[J]. China Academic Journal Electronic Publishing House, 2017, 32(9): 924-931.]
[13]	陈德亮, 徐柏青, 姚檀栋, 等. 青藏高原环境变化科学评估: 过去, 现在与未来[J]. 科学通报, 2015, 60(32): 3025-3035, 1-2.
	[Chen Deliang, Xu Baiqing, Yao Tandong, et al. Assessment of past, present and future environmental changes on the Tibetan Plateau[J]. Chinese Science Bulletin, 2015, 60(32): 3025-3035, 1-2.]
[14]	姚檀栋, 朴世龙, 沈妙根, 等. 印度季风与西风相互作用在现代青藏高原产生连锁式环境效应[J]. 中国科学院院刊, 2017, 32(9): 976-984.
	[Yao Tandong, Piao Shilong, Shen Miaogen, et al. Chained impacts on modern environment of interaction between westerlies and Indian monsoon on Tibetan Plateau[J]. China Academic Journal Electronic Publishing House, 2017, 32(9): 976-984.]
[15]	李岳坦, 李小雁, 崔步礼, 等. 青海湖流域及周边地区蒸发皿蒸发量变化(1961—2007年)及趋势分析[J]. 湖泊科学, 2010, 22(4): 616-624.
	[LI Yuetan, Li Xiaoyan, Cui Buli, et al. Trend of pan evaporation and its impact factors over Lake Qinghai Basin from 1961 to 2007[J]. Lake Science, 2010, 22(4): 616-624.]
[16]	Chen J L, Yang H, Lu M Q, et al. Estimation of monthly pan evaporation using support vector machine in Three Gorges Reservoir Area, China[J]. Theoretical and Applied Climatology, 2019, (4): 1-13.
[17]	田凤云, 吴成来, 张贺, 等. 基于CAS-ESM2的青藏高原蒸散发的模拟与预估[J]. 地球科学进展, 2021, 36(8): 797-809. doi: 10.11867/j.issn.1001-8166.2021.084
	[Tian Fengyun, Wu Chenglai, Zhang He, et al. Simulation and projection of evapotranspiration over the Tibetan Plateau based on CAS-ESM2[J]. Advances in Earth Science, 2021, 36(8): 797-809.] doi: 10.11867/j.issn.1001-8166.2021.084
[18]	Gao Y, Zhao C, Ashiq M W, et al. Actual evapotranspiration of subalpine meadows in the Qilian Mountains, Northwest China[J]. Journal of Arid Land, 2019, 11(3): 371-384. doi: 10.1007/s40333-019-0012-y
[19]	张耀宗, 张勃, 张多勇, 等. 1960—2018年黄土高原地区蒸发皿蒸发时空变化特征及影响因素[J]. 干旱区研究, 2022, 39(1): 1-9.
	[Zhang Yaozong, Zhang Bo, Zhang Duoyong, et al. Spatio temporal patterns of pan evaporation from 1960 to 2018 over the Loess Plateau: Changing properties and possible causes[J]. Arid Zone Research, 2022, 39(1): 1-9.]
[20]	汉光昭, 曹广超, 曹生奎, 等. 基于Shuttleworth-Wallace模型的小泊湖和沙柳河河源区湿地蒸散发模拟研究[J]. 湿地科学, 2019, 17(5): 519-526.
	[Han Guangzhao, Cao Guangchao, Cao Shengkui, et al. Simulation of evapotranspiration of Xiaopo Lake and Shaliu River Headwater Wetlands based on Shuttleworth-Wallace Model[J]. Wetland Science, 2019, 17(5): 519-526.]
[21]	王志刚, 曹生奎, 曹广超, 等. 青海湖沙柳河河源区降水同位素云下二次蒸发效应[J]. 地球与环境, 2022, 50(1): 83-93.
	[Wang Zhigang, Cao Shengkui, Cao Guanchao, et al. Effects of secondary evaporation under clouds on the precipitation isotope in the Headwater Area of Shaliu River, Qinghai Lake[J]. Earth And Environment, 2022, 50(1): 83-93.]
[22]	Cui B L, Li X Y. Runoff processes in the Qinghai Lake Basin, Northeast Qinghai-Tibet Plateau, China: Insights from stable isotope and hydrochemistry[J]. Quaternary International, 2015, 380-381(4): 123-132. doi: 10.1016/j.quaint.2015.02.030
[23]	杨羽帆, 曹生奎, 冯起, 等. 青海湖沙柳河流域浅层地下水氢氧稳定同位素分布特征[J]. 中国沙漠, 2019, 39(5): 45-53.
	[Yang Yufan, Cao Shengkui, Feng Qi, et al. Spatial distribution characteristics of composition of stable hydrogen and oxygen isotopes of shallow groundwater in Shaliu River Basin of Qinghai Lake[J]. Journal of Desert Research, 2019, 39(5): 45-53.]
[24]	An Z S, Colman S M, Zhou W J, et al. Interplay between the Westerlies and Asian monsoon recorded in Lake Qinghai sediments since 32 ka[J]. Scientific Reports, 2012, 2(8): 619. doi: 10.1038/srep00619
[25]	雷义珍, 曹生奎, 曹广超, 等. 青海湖沙柳河流域不同时期地表水与地下水的相互作用[J]. 自然资源学报, 2020, 35(10): 2528-2538. doi: 10.31497/zrzyxb.20201017
	[Lei Yizhen, Cao Shengkui, Cao Guangchao, et al. Study on surface water and groundwater interaction of Shaliu River Basin in Qinghai Lake in different periods[J]. Journal of Natural Resources, 2020, 35(10): 2528-2538.] doi: 10.31497/zrzyxb.20201017
[26]	中华人民共和国生态环境部. 全国生态状况调查评估技术规范——草地生态系统野外观测(HJ1168-2021)[S]. 北京: 中国标准出版社, 2021.
	[Ministry of Ecology and Environment of the People’s Republic of China. Technical Specification for Investigation and Assessment of National Ecological Status: Field Observation of Grassland Ecosystem (HJ1168-2021)[S]. Beijing: China Standards Press, 2021.]
[27]	黄葵, 卢毅敏, 魏征, 等. 土地利用和气候变化对海河流域蒸散发时空变化的影响[J]. 地球信息科学学报, 2019, 21(12): 1888-1902. doi: 10.12082/dqxxkx.2019.190269
	[Huang Kui, Lu Yimin, Wei Zheng, et al. Effects of land use and climate change on spatiotemporal changes of evapotranspiration in Haihe River Basin[J]. Journal of Geo-information Science, 2019, 21(12): 1888-1902.] doi: 10.12082/dqxxkx.2019.190269
[28]	刘燕, 刘友存, 陈明, 等. 基于Penman-Monteith的江南丘陵地区地表参考蒸散量和水分盈亏量特征分析[J]. 安徽农业大学学报, 2019, 46(4): 680-688.
	[Liu Yan, Liu Youcun, Chen Ming, et al. Analysis on the variation characteristics of surface water in the Jiangnan Hills based on the Penman-Monteith method[J]. Journal of Anhui Agricultural University, 2019, 46(4): 680-688.]
[29]	李净, 王丹. 3种不同遥感辐射产品的精度比较[J]. 气候与环境研究, 2018, 23(2): 252-258.
	[Li Jing, Wang Dan. A comparative study on three types of remote sensing solar radiation products[J]. Climatic and Environmental Research, 2018, 23(2): 252-258.]
[30]	王志刚, 曹生奎, 曹广超. 近15年来青海湖流域气温, 降水变化对植被物候驱动分析[J]. 水土保持研究, 2022, 29(1): 249-255.
	[Wang Zhigang, Cao Shengkui, Cao Guanchao. Changes in temperature and precipitation in Qinghai Lake Basin in the past 15 years have driven analysis of vegetation phenology[J]. Research of Soil and Water Conversation, 2022, 29(1): 249-255.]
[31]	Zhang Y, Pea-arancibia J L, Mcvicar T R, et al. Multi-decadal trends in global terrestrial evapotranspiration and its components[J]. Scientific Reports, 2016, 6(1): 19124. doi: 10.1038/srep19124
[32]	马宁. 近40年来青藏高原典型高寒草原和湿地蒸散发变化的对比分析[J]. 地球科学进展, 2021, 36(8), 836-848. doi: 10.11867/j.issn.1001-8166.2021.079
	[Ma Ning. Comparative analysis of evapotranspiration changes in typical alpine grasslands and wetlands on the Qinghai-Tibet Plateau in the past 40 years[J]. Advances In Earth Science, 2021, 36(8): 836-848.] doi: 10.11867/j.issn.1001-8166.2021.079
[33]	李艳君. 2010—2019年青海湖流域蒸散发及对气候变化的响应[J]. 佳木斯大学学报(自然科学版), 2022, 40(2): 116-118, 122.
	[LiYanjun. The evapotranspiration and its response to climate[J]. Journal of Jiamusi University (Natural Science Edition), 2022, 40(2): 116-118, 122.]
[34]	金晓媚, 郭任宏, 夏薇. 基于MODIS数据的柴达木盆地区域蒸散量的变化特征[J]. 水文地质工程地质, 2013, 40(6): 8-13.
	[Jin Xiaomei, Guo Renhong, Xia Wei. Variation of regional evapotranspiration of Qaidam Basin using MODIS data[J]. Hydrogeology & Engineering Geology, 2013, 40(6): 8-13.]

	高山草原带	高山草甸带	高山寒漠带
多年平均蒸散量/mm	474.1	517.5	501.9
蒸散量年际变化率/（mm·a^-1）	6.1	5.6	5.1

	平坡	缓坡	斜坡	陡坡	急坡	险坡
多年平均蒸散量/mm	493.0	509.8	508.5	505.9	511.0	510.5
蒸散量年际变化率/（mm·a^-1）	5.7	5.3	5.3	5.1	5.4	5.0

青海湖沙柳河流域蒸散发时空变化特征

Temporal and spatial changes of evapotranspiration in the Shaliu River Basin of Qinghai Lake

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[2]	孙琳琳, 刘琼, 黄观, 陈勇航, 魏鑫, 郭玉琳, 张太西, 高天一, 许赟红. 新疆和周边“一带一路”地区不同云天条件下地表太阳辐射[J]. 干旱区研究, 2024, 41(9): 1480-1490.
[3]	谢刚, 王甜甜, 于涛, 董靖玮, 陈世强, 王梦晓, 张圣杰, 张浩铭. 青海湖入湖口水温演变初步研究[J]. 干旱区研究, 2024, 41(9): 1503-1513.
[4]	袁征, 张志高, 闫瑾, 刘嘉毅, 胡柱钰, 王赟, 蔡茂堂. 1960—2020年黄河流域不同等级降水时空特征[J]. 干旱区研究, 2024, 41(8): 1259-1271.
[5]	李超, 隆霄, 曹怡清, 韩子霏, 王号, 郑景元. 不同风场结构下贺兰山地形降水的理想数值试验[J]. 干旱区研究, 2024, 41(8): 1272-1287.
[6]	张群慧, 常亮, 顾小凡, 王倩, 马卯楠, 李小等, 段瑞, 犹香智. 1979—2020年柴达木盆地人体舒适度指数时空变化及趋势分析[J]. 干旱区研究, 2024, 41(8): 1300-1308.
[7]	杨锁华, 李丽, 马江德, 郭文霞. “三生空间”视角下陕西省1990—2020年土地利用转型及梯度效应[J]. 干旱区研究, 2024, 41(7): 1249-1258.
[8]	姚小晨, 高凡, 韩方红, 何兵. 2000—2020年阿克苏河流域土地利用强度变化及其对蒸散发的影响[J]. 干旱区研究, 2024, 41(6): 951-963.
[9]	程晓瑜, 吕洁华. 塔里木河流域碳储量的气候影响机制及地形分异下的归因[J]. 干旱区研究, 2024, 41(5): 865-875.
[10]	裴志林, 曹晓娟, 王冬, 李迪, 王鑫, 白艾原. 内蒙古植被覆盖时空变化特征及其对人类活动的响应[J]. 干旱区研究, 2024, 41(4): 629-638.
[11]	赵东颖, 蒙仲举, 孟芮冰, 马泽. 乌兰布和沙漠风沙入黄段植被覆盖动态变化特征及驱动力[J]. 干旱区研究, 2024, 41(4): 639-649.
[12]	周义, 索文姣. 基于CWSI的汾河流域干旱时空变化特征[J]. 干旱区研究, 2024, 41(2): 191-199.
[13]	许宁, 李治国, 梁雪悦, 周晓莹. 基于地形梯度的青藏高原冰川分布格局及成因[J]. 干旱区研究, 2024, 41(2): 230-239.
[14]	王思楠, 吴英杰, 王宏宙, 黎明扬, 王飞, 张雯颖, 马小茗, 于向前. 基于地理探测器的鄂尔多斯干旱时空变化驱动因素分析[J]. 干旱区研究, 2024, 41(12): 1981-1991.
[15]	张倩, 曹广超, 张乐乐, 赵美亮. 祁连山南坡植被绿度时空变化及其对气候变化和人类活动的响应[J]. 干旱区研究, 2024, 41(12): 2143-2153.