测绘通报 ›› 2024, Vol. 0 ›› Issue (3): 31-36,139.doi: 10.13474/j.cnki.11-2246.2024.0306

• 学术研究 • 上一篇    下一篇

克里雅河流域中游绿洲蒸散发的时空演变与驱动因素分析

王冉冉1,2, 吕光辉1,2,3, 何学敏1,2,3, 李进宝1,2   

  1. 1. 新疆大学生态与环境学院, 新疆 乌鲁木齐 830017;
    2. 绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830017;
    3. 新疆精河温带荒漠生态系统教育部野外科学观测研究站, 新疆 精河 833300
  • 收稿日期:2023-07-26 发布日期:2024-04-08
  • 通讯作者: 吕光辉,E-mail: guanghui_xju@sina.com
  • 作者简介:王冉冉(1998—),女,硕士生,主要研究方向为生态遥感。E-mail: wangranran6421@sina.com
  • 基金资助:
    克里雅河流域生态调度及生态响应研究项目(2020.B-003);国家自然科学基金(41975115)

Spatial-temporal evolution and driving factors analysis of oasis evapotranspiration in the middle reaches of the Keriya River basin

WANG Ranran1,2, Lü Guanghui1,2,3, HE Xuemin1,2,3, LI Jinbao1,2   

  1. 1. College of Ecology and Environment, Xinjiang University, Urumqi 830017, China;
    2. Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi 830017, China;
    3. Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe 833300, China
  • Received:2023-07-26 Published:2024-04-08

摘要: 蒸散发是评估荒漠绿洲水热循环的关键因素,其时空变化监测及驱动力研究可为水资源的精准调控与生态环境保护提供科学依据。以克里雅河流域中游绿洲地区为研究区域,本文基于Landsat遥感影像与SEBS模型分析了2010—2022年蒸散发的时空变化,通过蒸发皿实测数据和Penman-Monteith模型进行了估算结果的精度验证,并进一步探讨了蒸散发的影响因素。结果表明:1蒸散发的SEBS模拟值与蒸发皿观测值的相关系数和R2分别为0.93和0.87,RMSE为0.96mm/d;与彭曼公式观测值的相关系数和R2分别为0.90和0.81,RMSE为0.64mm/d。22010—2022年的实际蒸散发呈下降趋势,其变化速率为14.75mm/a;在春季、夏季和秋季呈下降趋势,在冬季则呈上升趋势。3蒸散发的空间异质性明显,高值主要集中在克里雅河沿岸附近,低值则分布在绿洲边缘地区的沙地;近13年整个研究区约有70.2%的像元呈无显著下降趋势,10.4%的像元呈显著下降趋势。4蒸散发与气温、气压、日照时数、地表温度和NDVI呈显著相关关系,与风速和地表反照率呈弱相关关系。总体而言,研究结果能够较好地模拟克里雅河流域中游绿洲的蒸散发时空异质特征,有助于流域水资源合理规划与调控政策的制定。

关键词: 克里雅河流域, 蒸散发, SEBS模型, Landsat, Mann-Kendall趋势分析, 影响因子

Abstract: Evapotranspiration is a key component in assessing the water-heat cycle of desert oasis areas, and monitoring its spatio-temporal variations and studying its driving forces can provide scientific basis for precise water resources management and ecological environment protection. Taking the middle reaches of the Keriya River basin as the study area, this paper analyzes the spatio-temporal variations of evapotranspiration from 2010 to 2022 based on Landsat remote sensing imagery and the SEBS model. The accuracy of the estimation results is verified using evaporation pan measurements and the Penman-Monteith model, and further investigation is conducted on the influencing factors of evapotranspiration. The results show that:①The correlation coefficient and R2 between the SEBS simulated values of evapotranspiration and the evaporation pan observations are 0.93 and 0.87, respectively, with an RMSE of 0.96mm/d. The correlation coefficient and R2 between the SEBS simulated values and the Penman formula observations are 0.90 and 0.81, respectively, with an RMSE of 0.64mm/d. ②The actual evapotranspiration from 2010 to 2022 shows a decreasing trend, with a change rate of 14.75mm/a. It decreases in spring, summer, and autumn, while increases in winter. ③The spatial heterogeneity of evapotranspiration is evident, with high values mainly concentrated near the Keriya River and low values distributed in the sandy areas at the edge of the oasis. In the past 13 years, about 70.2% of the study area's pixels show no significant decrease trend, while 10.4% of the pixels exhibite a significant decrease trend. ④Evapotranspiration is significantly correlated with temperature, air pressure, sunshine duration, land surface temperature, and NDVI. It has a weak correlation with wind speed and surface albedo. Overall, the research results can effectively simulate the spatio-temporal heterogeneity of evapotranspiration in the middle reaches of the Keriya River basin. This study contributes to the rational planning and management of water resources in the basin.

Key words: Keriya River basin, evapotranspiration, SEBS model, Landsat, Mann-Kendall trend analysis, impact factor

中图分类号: