灌溉排水学报2025，Vol.44Issue(11)：47-57,11.DOI:10.13522/j.cnki.ggps.2025104
宁夏引黄灌区蒸散发时空演变特征及驱动因素分析
Spatiotemporal variations in evapotranspiration and its driving factors in the Yellow-River Irrigation District in Ningxia
摘要
Abstract
[Background and Objective]Accurate and timely estimation of evapotranspiration(ET)in an irrigation districts is critical for rationally allocating water resources and improving irrigation efficiency.Understanding the spatiotemporal dynamics of ET and its driving factors is essential for optimizing water management.In this paper,we analyzed the spatiotemporal variations of ET and identified its main driving factors in the Yellow River Irrigation District of Ningxia.[Method]The surface energy balance algorithm for land(SEBAL)model was used to estimate the ET in the irrigation districts from 2000 to 2022.Its accuracy was validated against the results calculated using the Penman-Monteith(P-M)model and the water balance method.Mann-Kendall trend tests and coefficients of variation were used to analyze the spatiotemporal variations of ET,and correlation and regression analyses were used to assess the influence of key environmental factors on ET.[Result]① The SEBAL model was accurate,and the R2 between its results and those calculated from the P-M model was 0.89.Compared to those calculated from the water mass balance method,the average relative error of the SEBAL model was 10.65%.② The average annual evapotranspiration in the irrigation districts was 640.3 mm/a,and the interannual ET increased to a peak in July and the then declined.③ Spatially,ET in the irrigation district was low in the North,high in the centre and and moderate in the South.ET in different vegetation types was ranked in the order of water body＞farmland＞construction land＞grassland＞bare land.④ The correlation between evapotranspiration and vapor pressure deficit was the strongest,with an average correlation coefficient of 0.43 and a regression coefficient of 0.38.[Conclusion]From 2000 to 2022,the evapotranspiration in the Yellow River Irrigation District of Ningxia increased,with vapor pressure deficit being the main driving factor.关键词
区域蒸散发/SEBAL模型/引黄灌区/时空变化Key words
evapotranspiration/SEBAL model/Yellow River Irrigation District/spatial and temporal variation分类
地球科学引用本文复制引用
章馨心,黄冶坚,陈新国,黄权中,李民..宁夏引黄灌区蒸散发时空演变特征及驱动因素分析[J].灌溉排水学报,2025,44(11):47-57,11.基金项目
国家自然科学基金项目(U2243217,52220105007,52309066) （U2243217,52220105007,52309066）
中央引导地方科技专项(2020ZY0050) （2020ZY0050）
