| 引用本文: | 章馨心,黄冶坚,陈新国,等.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. |
| ZHANG Xinxin,HUANG Yejian,CHEN Xinguo,et al.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. |
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| 摘要: |
| 【目的】明确宁夏引黄灌区蒸散发时空演变特征及驱动因素。【方法】基于SEBAL模型估算了2000—2022年宁夏引黄灌区蒸散发，采用P-M模型和水量平衡法分别从像元和灌区尺度对其进行了精度验证，并采用Mann-Kendall趋势检验和变异系数法分析其时空变化特征，最后通过相关性分析和回归分析探讨环境因素对蒸散发的影响。【结果】①SEBAL模型估算蒸散发与P-M模型估算蒸散发的决定系数R2为0.89，与水量平衡法蒸散发计算结果对比得到多年平均相对误差为10.65%。②灌区多年平均蒸散发为640.3 mm/a，年内蒸散发变化表现为单峰型，蒸散发最大值在7月（109.51 mm）。③灌区蒸散发自北向南呈“低-高-中”的空间分布格局，不同土地利用类型蒸散发依次表现为水体＞耕地＞建设用地＞草地＞裸地。④灌区蒸散发的主要驱动因素是饱和水汽压差，平均相关系数为0.43，回归系数为0.38。【结论】2000—2022年，宁夏引黄灌区蒸散发呈上升趋势，饱和水汽压差是灌区蒸散发的主要驱动因素。 |
| 关键词: 区域蒸散发；SEBAL模型；引黄灌区；时空变化 |
| DOI：10.13522/j.cnki.ggps.2025104 |
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| Spatiotemporal variations in evapotranspiration and its driving factors in the Yellow-River Irrigation District in Ningxia |
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ZHANG Xinxin, HUANG Yejian, CHEN Xinguo, HUANG Quanzhong, LI Min
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1. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China;
2. Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China;
3. General Institute of Water Conservancy and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China; 4. School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China;
5. Chinese-Israeli International Center for Research and Training in Agriculture, China Agricultural University, Beijing 100083, China;
6. Water Conservancy Development Center of Hetao Irrigation District, Inner Mongolia, Bayannur 015001, China
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| 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. |
| Key words: evapotranspiration; SEBAL model; Yellow River Irrigation District; spatial and temporal variation |
