伊犁河—巴尔喀什湖流域实际蒸散发时空变化特征及其环境影响因子

doi:10.13866/j.azr.2022.05.21

干旱区研究 ›› 2022, Vol. 39 ›› Issue (5): 1564-1575.doi: 10.13866/j.azr.2022.05.21

伊犁河—巴尔喀什湖流域实际蒸散发时空变化特征及其环境影响因子

姚佳¹(),陈启慧¹,李琼芳^1,²(),崔罡¹,张良憬³

1.河海大学水文水资源学院,江苏南京 210098
2.长江保护与绿色发展研究院,江苏南京 210098
3.河海大学环境学院,江苏南京 210098

收稿日期:2022-04-18 修回日期:2022-06-25 出版日期:2022-09-15 发布日期:2022-10-25
通讯作者: 李琼芳
作者简介:姚佳（1998-）,女,硕士研究生,研究方向为生态水文. E-mail: 2761566292@qq.com
基金资助:
新疆维吾尔自治区寒旱区水资源与生态水利工程研究中心（院士专家工作站）合作研究项目(2020.E-001);新疆维吾尔自治区寒旱区水资源与生态水利工程研究中心（院士专家工作站）合作研究项目(2020.E-002);新疆维吾尔自治区寒旱区水资源与生态水利工程研究中心（院士专家工作站）合作研究项目(2020. E-004);中央高校基本科研业务费项目（国际河流专项）(B210204024);中央高校基本科研业务费项目（国际河流专项）(B210204025);中央高校基本科研业务费项目（国际河流专项）(B210204026)

Spatial and temporal variability of evapotranspiration and influencing factors in the Ili River-Balkhash Lake Basin

YAO Jia¹(),CHEN Qihui¹,LI Qiongfang^1,²(),CUI Gang¹,ZHANG Liangjing³

1. College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China
2. Yangtze Institute for Conservation and Green Development, Nanjing 210098, Jiangsu, China
3. College of Environment, Hohai University, Nanjing 210098, Jiangsu

Received:2022-04-18 Revised:2022-06-25 Online:2022-09-15 Published:2022-10-25
Contact: Qiongfang LI

摘要/Abstract

摘要：

基于多种遥感数据,运用Mann-Kendall法、Theil-Sen median 趋势分析、Pearson相关分析、水量平衡原理,探讨2000—2020年伊犁河—巴尔喀什湖流域实际蒸散发时空变化规律及其主要影响因素,并讨论了流域生态系统水资源供给量的变化。结果表明：（1）流域上、中、下游的多年平均年蒸散发量分别为439.0 mm、317.9 mm、201.1 mm;其中上、中游在夏季的日蒸散发量最大,而下游在春季最大;流域上、中游蒸散发量的年内分配均为“单峰型”,峰值分别在7月与6月,下游为“双峰型”,峰值分别在3月与11月。（2）流域上、下游的年蒸散发量均呈现显著的上升趋势,显著区域主要分布在上游的伊犁河谷、天山山脉与下游的伊犁河三角洲附近;相对2000—2010年,2010—2020年伊犁河谷和伊犁河三角洲地区多年平均年蒸散发增加超过10%。（3）流域上、中游蒸散发与气温和NDVI呈现较高的正相关性;流域下游蒸散发与土壤湿度呈现较高的正相关性。（4）流域生态系统的水资源供给服务总量在2000—2020年有所下降,其中上游已多次出现缺口,中、下游在2020年开始出现缺口,需通过控制用水总量、提升用水效率保障水资源供需平衡。

关键词: 伊犁河—巴尔喀什湖流域, 蒸散发, 时空变化, 驱动因素, Pearson相关

Abstract:

From 2000 to 2020, remote sensing data, such as MODIS and FLDAS, the Mann-Kendall method, Theil-Sen median trend analysis, Pearson correlation analysis, and the water balance principle, were applied to explore the spatial distribution and temporal variation patterns of actual evapotranspiration in the Ili River-Balkhash Lake basin, along with its main influencing factors. In addition, changes in the ecosystem water supply were discussed. The results were as follows: (1) the upper, middle, and lower Ili River-Balkhash Lake basins had an average annual evapotranspiration of 439.0 mm, 317.9 mm, and 201.1 mm, respectively. The daily evapotranspiration in the upper and middle basins was the greatest in the summer, while the lower basin had the greatest daily evapotranspiration in the spring. The intra-annual distribution of evapotranspiration in the upper and middle basins was “unimodal,” with peaks in July and June, respectively. It was “bimodal” in the lower basin, with peaks in March and November, respectively. (2) The annual evapotranspiration increased in both the upper and lower basins, with the highest concentrations in the upper Ili River valley, Tianshan Mountains, and near the Ili River delta in the lower basin. Compared to the 2000s, the average annual evapotranspiration in the Ili River valley and Ili River delta increased by more than 10% in the 2010s. (3) Based on the Pearson correlation analysis, the upper and middle basins showed high positive correlations with temperature and NDVI, whereas the lower basin showed high positive correlations with soil moisture. (4) From 2000 to 2020, the basin's total water supply service decreased, with several shortfalls in the upper basin and shortfalls in the middle and lower basins beginning to appear in 2020. The balance of water supply and demand must be ensured by controlling the total amount of water being used and by improving water use efficiency.

Key words: Ili River-Balkhash Lake Basin, evapotranspiration, temporal and spatial changes, driving factors, Pearson correlation analysis.

姚佳,陈启慧,李琼芳,崔罡,张良憬. 伊犁河—巴尔喀什湖流域实际蒸散发时空变化特征及其环境影响因子[J]. 干旱区研究, 2022, 39(5): 1564-1575.

YAO Jia,CHEN Qihui,LI Qiongfang,CUI Gang,ZHANG Liangjing. Spatial and temporal variability of evapotranspiration and influencing factors in the Ili River-Balkhash Lake Basin[J]. Arid Zone Research, 2022, 39(5): 1564-1575.

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参考文献 37

[1]	邓铭江, 王志杰, 王姣妍. 巴尔喀什湖生态水位演变分析及调控对策[J]. 水利学报, 2011, 42(4): 403-413.
	[Deng Mingjiang, Wang Zhijie, Wang Jiaoyan. Analysis of Balkhash Lake ecological water level evolvement and its regulation strategy[J]. Journal of Hydraulic Engineering, 2011, 42(4): 404-413. ]
[2]	段伟利, 邹珊, 陈亚宁, 等. 1879-—2015年巴尔喀什湖水位变化及其主要影响因素分析[J]. 地球科学进展, 2021, 36(9): 950-961. doi: 10.11867/j.issn.1001-8166.2021.088
	[Duan Weili, Zou Shan, Chen Yaning, et al. Analysis of water level changes in Lake Balkhash and its main influencing factors during 1879-2015[J]. Advances in Earth Science, 2021, 36(9): 950-961. ] doi: 10.11867/j.issn.1001-8166.2021.088
[3]	孙佳龙, 郭金运, 常晓涛, 等. 利用卫星测高和重力的巴尔喀什湖水位变化监测[J]. 武汉大学学报(信息科学版), 2011, 36(4): 401-406.
	[Sun Jialong, Guo Jinyun, Chang Xiaotao, et al. Balkhash Lake level variations monitored with satellite altimeter and satellite gravity data[J]. Geomatics and Information Science of Wuhan University, 2011, 36(4): 401-406. ]
[4]	谢蕾, 龙爱华, 邓铭江, 等. 伊犁河下游三角洲生态耗水研究[J]. 冰川冻土, 2011, 33(6): 1330-1340.
	[Xie Lei, Long Aihua, Deng Mingjiang, et al. Study on ecological water consumption in delta of the lower reaches of Ili River[J]. Journal of Glaciology and Geocryology, 2011, 33(6): 1330-1340. ]
[5]	郑青华, 罗格平, 朱磊, 等. 基于CA_Markov模型的伊犁河三角洲景观格局预测[J]. 应用生态学报, 2010, 21(4): 873-882.
	[Zheng Qinghua, Luo Geping, Zhu Lei, et al. Prediction of landscape patterns in lli River Delta based on CA_Markov model[J]. Chinese Journal of Applied Ecology, 2010, 21(4): 873-882. ]
[6]	李修仓. 中国典型流域实际蒸散发的时空变异研究[D]. 南京: 南京信息工程大学, 2013.
	[Li Xiucang. Spatio-temporal Variation of Actual Evapotranspiration in the Pearl, Haihe and Tarim River Basins of China[D]. Nanjing: Nanjing University of Information Science & Technology, 2013. ]
[7]	刘洋, 于恩涛, 杨建军, 等. 西北干旱区1960—2019年实际蒸散发时空变化特征[J]. 水土保持研究, 2021, 28(6): 75-80, 89.
	[Liu Yang, Yu Entao, Yang Jianjun, et al. Characteristics of spatial and temporal variation of actual evapotranspiration in the arid region of northwest China from 1960 to 2019[J]. Research of Soil and Water Conservation, 2021, 28(6): 75-80, 89. ]
[8]	Xia Jiangzhou, Liang Shunlin, Chen Jiquan, et al. Satellite-based analysis of evapotranspiration and water balance in the grassland ecosystems of dryland East Asia[J]. PLOS ONE, 2014, 9(5): e97295.
[9]	Zhang Shengwei, Shen Rui, Zhao Hongbin, et al. Correlating between evapotranspiration and precipitation provides insights into Xilingol grassland eco-engineering at larger scale[J]. Ecological Engineering, 2015, 84: 100-103. doi: 10.1016/j.ecoleng.2015.07.015
[10]	闫俊杰, 付秀东, 赵玉, 等. 2001—2015年伊犁河谷草地蒸散发时空变化分析[J]. 水土保持研究, 2019, 26(6): 184-190, 197.
	[Yan Junjie, Fu Xiudong, Zhao Yu, et al. Spatiotemporal variation of evapotranspiration in the grassland of Ili valley from 2001 to 2015[J]. Research of Soil and Water Conservation, 2019, 26(6): 184-190, 197. ]
[11]	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.
	[Deng Xingyao, Yao Junqiang, Liu Zhihui, et al. Spatiotemporal dynamic change characteristics of evapotranspiration in Tianshan Mountains from 2000 to 2014[J]. Research of Soil and Water Conservation, 2017, 24(4): 266-273. ]
[12]	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. ]
[13]	肖婷婷, 夏自强, 郭利丹, 等. 巴尔喀什湖流域1936-2005年气温特征[J]. 河海大学学报(自然科学版), 2011, 39(4): 391-396.
	[Xiao Tingting, Xia Ziqiang, Guo Lidan, et al. Temperature characteristics in the Balkhash Lake Basin from 1936 to 2005[J]. Journal of Hohai University (Natural Sciences Edition), 2011, 39(4): 391-396. ]
[14]	夏自强, 郭利丹, 黄峰, 等. 巴尔喀什湖-阿拉湖流域水文地理特征分析及人类活动影响研究[M]. 北京: 中国水利水电出版社, 2018: 43, 53.
	[Xia Ziqiang, Guo Lidan, Huang Feng, et al. Analysis of Hydrographic Characteristics of the Lake Balkhash-Ala Lake Basin and Study of the Impact of Human Activities[M]. Beijing: China Water & Power Press, 2018. ]
[15]	李元春, 葛静, 侯蒙京, 等. 基于CCI-LC数据的甘南和川西北地区土地覆盖类型时空动态分布及草地面积变化驱动力研究[J]. 草业学报, 2020, 29(3): 1-15.
	[Li Yuanchun, Ge Jing, Hou Mengjing, et al. A studly of the spatiotemporal dynamic of land cover types and the driving forces of grass and area change in Gannan Prefecture and Northwest Sichuan based on CCI-1C data[J]. Acta Prataculturae Sinica, 2020, 29(3): 1-15. ]
[16]	Mann Henry B. Nonparametric tests against trend[J]. Econometrica, 1945: 245-259.
[17]	Kendall Maurice George. Rank Correlation Methods[M]. 5th Edition. London: Edward Arnold: 1990.
[18]	徐勇, 黄雯婷, 靖娟利, 等. 京津冀地区植被NDVI动态变化及其与气候因子的关系[J]. 水土保持通报, 2020, 40(5): 319-327.
	[Xu Yong, Huang Wenting, Jin Juanli, et al. Dynamic variation of vegetation cover and its relation with climate variables in Beijing-Tianjin-Hebei Region[J]. Bulletin of Soil and Water Conservation, 2020, 40(5): 319-327. ]
[19]	刘瑞, 朱道林. 基于转移矩阵的土地利用变化信息挖掘方法探讨[J]. 资源科学, 2010, 32(8): 1544-1550.
	[Liu Rui, Zhu Daolin. Methods for detecting land use changes based on the land use transition matrix[J]. Resources Science, 2010, 32(8): 1544-1550. ]
[20]	Pearson Karl. Notes on the history of correlation[J]. Biometrika, 1920, 13(1): 25-45. doi: 10.1093/biomet/13.1.25
[21]	邱国玉, 熊育久. 水与能: 蒸散发, 热环境及其能量收支[M]. 北京: 科学出版社, 2014.
	[Qiu Guoyu, Xiong Yujiu. Evapotranspiration Thermal Environment and Energy Budget[M]. Beijing: Science Press, 2014. ]
[22]	詹云军, 章文, 严岩, 等. 长江流域实际蒸散发演变趋势及影响因素[J]. 生态学报, 2021, 41(17): 6924-6935.
	[Zhan Yunjun, Zhang Wen, et al. Analysis of actual evapotranspiration evolution and influencing factors in the Yangtze River Basin[J]. Acta Ecologica Sinica, 2021, 41(17): 6924-6935. ]
[23]	王倩, 杨太保, 杨雪梅. 新疆伊犁河流域植被变化动态监测与评价[J]. 干旱区资源与环境, 2015, 29(8): 126-131.
	[Wang Qian, Yang Taibao, Yang Xuemei. Monitoring and assessment of vegetation variation over the Ili River Basin in Xinjiang[J]. Journal of Arid Land Resources and Environment, 2015, 29(8): 126-131. ]
[24]	魏良民, 高明, 贾青德, 等. 新疆丸粒种甜菜适宜播种时间试验[J]. 中国糖料, 2014(1): 24-26.
	[Wei Liangmin, Gao Ming, Jia Qingde, et al. Suitable sowing time experiment of pellet sugarbeet seed in Xinjiang[J]. Sugar Crops of China, 2014(1): 24-26. ]
[25]	李杜娟. 伊犁地区红花栽培技术[J]. 现代农业科技, 2018(19): 98, 103.
	[Li Dujuan. Cultivation technology of safflower in Ili region[J]. Modern Agricultural Science and Technology, 2018(19): 98, 103. ]
[26]	Thevs Niels, Nurtazin Sabir, Beckmann Volker, et al. Water consumption of agriculture and natural ecosystems along the Ili River in China and Kazakhstan[J]. Water, 2017, 9(3): 207. doi: 10.3390/w9030207
[27]	蔡明勇, 杨胜天, 周秋文, 等. 伊犁河跨界流域土地利用变化特征分析[J]. 世界地理研究, 2013, 22(3): 151-159.
	[Cai Mingyong, Yang Shengtian, Zhou Qiuwen, et al. Land use/cover change analysis in transboundary Ili River Basin[J]. World Regional Studies, 2013, 22(3): 151-159. ]
[28]	刘婉如, 陈春波, 罗格平, 等. 巴尔喀什湖流域土地利用/覆被变化过程与趋势[J]. 干旱区研究, 2021, 38(5): 1452-1463.
	[Liu Wanru, Chen Chunbo, Luo Geping, et al. Change process and trends pf land use/cover in Balkhash Lake basin[J]. Arid Zone Research, 2021, 38(5): 1452-1463. ]
[29]	王宏伟, 张小雷, 乔木, 等. 基于GIS的伊犁河流域生态环境质量评价与动态分析[J]. 干旱区地理, 2008, 31(2): 215-221.
	[Wang Hongwei, Zhang Xiaolei, Qiao Mu, et al. Assessment and dynamic analysis of the eco-environmental quality in the Ili River Basin based on GIS[J]. Arid Land Geography, 2008, 31(2): 215-221. ]
[30]	贺添, 邵全琴. 基于MOD16产品的我国2001—2010年蒸散发时空格局变化分析[J]. 地球信息科学学报, 2014, 16(6): 979-988. doi: 10.3724/SP.J.1047.2014.00979
	[He Tian, Shao Quanqin. Spatial-temporal variation of terrestrial evapotranspiration in China from 2001 to 2010 using MOD16 products[J]. Journal of Geo-Information Science, 2014, 16(6): 979-988. ] doi: 10.3724/SP.J.1047.2014.00979
[31]	Mu Qiaozhen, Zhao Maosheng, Steven W. Running. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 2011, 115(8): 1781-1800. doi: 10.1016/j.rse.2011.02.019
[32]	Mu Qiaozhen, Faith Ann Heinsch, Zhao Maosheng, et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J]. Remote Sensing of Environment, 2007, 111(4): 519-536. doi: 10.1016/j.rse.2007.04.015
[33]	赵玲玲. 流域水文循环模拟中蒸散发估算方法研究[M]. 北京: 中国水利水电出版社, 2019.
	[Zhao Lingling. A study of Evapotranspiration Estimation Methods in Watershed Hydrological Cycle Simulation[M]. Beijing: China Water & Power Press, 2019. ]
[34]	张潇, 夏自强, 郭利丹, 等. 1960-2010年巴尔喀什湖流域干湿特征分析[J]. 资源科学, 2016, 38(6): 1118-1128. doi: 10.18402/resci.2016.06.11
	[Zhang Xiao, Xia Ziqiang, Guo Lidan, et al. Analysis of aridity-wetness characteristics in the Balkhash Lake Basin from 1960 to 2010[J]. Resources Science, 2016, 38(6): 1118-1128. ] doi: 10.18402/resci.2016.06.11
[35]	刘燕平. 哈萨克斯坦土地管理机构及法律法规[J]. 国土资源情报, 2008(3): 22-25.
	[Liu Yanping. Land Management Institutions and Laws of Kazakhstan[J]. Land and Resources Information, 2008(3): 22-25. ]
[36]	Beurs K M, Henebry G M. Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan[J]. Remote Sensing of Environment, 2004, 89(4): 497-509. doi: 10.1016/j.rse.2003.11.006
[37]	Henebry G M, De Beurs K M, et al. Land surface dynamics in Kazakhstan: Dynamic baselines and change detection land surface dynamics in Kazakhstan: Dynamic baselines and change detection[C]// IEEE International Geoscience & Remote Sensing Symposium. IEEE, 2002: 1060-1062.

	1月	2月	3月	4月	5月	6月	7月	8月	9月	10月	11月	12月
上游	0.011	-0.041	-0.038	0.264	0.191	0.239	0.455	0.249	0.25^*	0.151	-0.039	0.020
中游	0.047	-0.036	0.040	0.247	0.272	-0.023	0.008	0.094	0.224	0.052	-0.033	0.019
下游	-0.112	-0.150	0.055	0.425^**	0.178	0.284	0.245	0.148	0.267^**	0.196	-0.086	-0.022

区域	降水量/（mm·a^-1）	相对湿度/（%·a^-1）	气温/（℃·a^-1）	风速/（m·s^-1·a^-1）	土壤湿度/（kg·m^-2 a^-1）	NDVI/（10a）^-1
上游	-1.65	0.06	-0.013	-0.002	0.27	0.016^?
中游	-5.77^?	0.09	-0.016	-0.003	0.10	0.010
下游	-1.73	0.20^?	-0.028	0.005	0.15	0.011^?

影响因素	上游	中游	下游
NDVI	0.735^**	0.681^**	0.012
风速	-0.283^**	-0.033	0.129^*
温度	0.790^**	0.552^**	-0.129^*
相对湿度	-0.288^**	-0.095	0.160^*
土壤湿度	-0.246^**	-0.094	0.304^**

伊犁河—巴尔喀什湖流域实际蒸散发时空变化特征及其环境影响因子

Spatial and temporal variability of evapotranspiration and influencing factors in the Ili River-Balkhash Lake Basin

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[7]	陈加伟, 褚建民, 甘红豪, 徐磊, 公帅, 刘浩, 王迎新, 杨洪晓, 徐晓庆, 齐丹卉. 浑善达克沙地长梗扁桃群丛特征及其驱动因素分析[J]. 干旱区研究, 2023, 40(5): 777-784.
[8]	任丽雯, 王兴涛, 刘明春, 王大为. 石羊河流域植被净初级生产力时空变化及驱动因素[J]. 干旱区研究, 2023, 40(5): 818-828.
[9]	吕锦心, 梁康, 刘昌明, 张仪辉, 刘璐. 无定河流域土地覆被空间分异机制及相关水碳变量变化[J]. 干旱区研究, 2023, 40(4): 563-572.
[10]	李鑫磊, 李瑞平, 王秀青, 王思楠, 王成坤. 基于地理探测器的河套灌区林草植被覆盖度时空变化与驱动力分析[J]. 干旱区研究, 2023, 40(4): 623-635.
[11]	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.
[12]	许丽婷,刘海红,黄丽洁,王钰帆. 2000—2020年汾河流域生态环境与水源涵养时空变化[J]. 干旱区研究, 2023, 40(2): 313-325.
[13]	侯文兵, 李开明, 黄卓. 近20 a河西地区绿洲效应时空变化特征及归因分析[J]. 干旱区研究, 2023, 40(12): 2031-2042.
[14]	刘延雪, 乔长录. 干旱区绿洲膜下滴灌棉田蒸散发[J]. 干旱区研究, 2023, 40(1): 152-162.
[15]	肖森天, 依力亚斯江·努尔麦麦提, 努尔比耶·穆合塔尔, 赵静, 阿迪莱·阿卜来提. 基于光学和雷达多源遥感的于田绿洲土壤盐渍化时空分析[J]. 干旱区研究, 2023, 40(1): 59-68.