| 基于MOD16的银川平原地表蒸散量时空特征及影响因素分析 |
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| 引用本文： | 王卓月,孔金玲,李英,张在勇,刘慧慧,蒋镒竹,钟炎伶,张静雅.基于MOD16的银川平原地表蒸散量时空特征及影响因素分析[J].水文地质工程地质,2021,48(3):53-61. |
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| 作者姓名： | 王卓月 孔金玲 李英 张在勇 刘慧慧 蒋镒竹 钟炎伶 张静雅 |
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| 作者单位： | 1.长安大学地球科学与资源学院，陕西 西安 710054 |
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| 基金项目： | 国家自然科学基金项目（42071345）；宁夏财政厅项目（6400201901273） |
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| 摘 要： | 地表蒸散发是陆地水文循环的重要组成部分，分析蒸散量时空变化特征是深入了解干旱区水文过程的基础。由于银川平原缺乏区域尺度实际蒸散量的长期观测，很难得到长时间序列蒸散量的时空变化特征。基于MOD16A3地表蒸散量数据及研究区内气象站点实测数据，采用Theil Sen Median趋势度分析、MK突变检验及CA-Markov模型等方法，从时间与空间的角度分析2004—2019年银川平原地表蒸散量的变化特征及影响因素，预测2024年地表蒸散量的发展趋势。研究结果表明:2004—2019年银川平原蒸散量年际波动总体是增加趋势，MK突变检验结果显示2010年是蒸散量时序数据的突变点；银川平原实际蒸散量与潜在蒸散量空间分布格局、变化趋势均存在明显的差异性，蒸散量在近16年呈增加趋势，潜在蒸散量呈减少趋势，符合干旱区蒸散发互补相关理论。采用CA-Markov模型对2024年银川平原地表蒸散量未来发展趋势进行预测，模拟结果显示在未来5年银川平原蒸散量仍呈增加趋势；蒸散量的时空变化受气候与人类活动的共同影响，蒸散量与气温、降水、日照时数呈正相关，与相对湿度呈负相关，土地利用结构影响年蒸散量的空间格局，呈现出水田>旱田>林地>草地>荒漠的规律。
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| 关 键 词： | MOD16 蒸散发 Theil-Sen Median趋势度 CA-Markov模型 银川平原 |
| 收稿时间： | 2020-12-10 |
An analysis of spatio-temporal characteristics and influencing factors of surface evapotranspiration in the Yinchuan Plain based on MOD16 data |
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| Institution: | 1.College of Earth Sciences and resources, Chang’an University, Xi’an, Shaanxi 710054, China2.College of Geological Engineering and Geomatics, Chang’an University, Xi’an, Shaanxi 710054, China3.Institute of Hydrology and Environmental Geology Survey of Ningxia, Yinchuan, Ningxia 750011, China4.College of Water Conservancy and Environment, Chang’an University, Xi’an, Shaanxi 710054, China5.Institute of Natural Resources Survey of Ningxia, Yinchuan, Ningxia 750002, China |
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| Abstract: | Surface evapotranspiration is an important part of terrestrial hydrological cycle, and the analysis of spatio-temporal variation characteristics of evapotranspiration is the basis of in-depth understanding of hydrological processes in arid areas. Due to the lack of long-term observations of actual regional evapotranspiration in the Yinchuan Plain, it is difficult to obtain the spatio-temporal variation characteristics of long-term series evapotranspiration. Based on the MOD16A3 surface evapotranspiration data and the measured data of meteorological stations in the study area, this paper analyzes the variation characteristics and influencing factors of surface evapotranspiration in the Yinchuan Plain from the perspective of time and space by using the methods of Theil Sen median trend analysis, MK mutation test and CA-Markov model, and predicts the development trend of surface evapotranspiration in the next five years. The results show that from 2004 to 2019, the interannual variation trend of evapotranspiration in the Yinchuan Plain is increasing, and the MK mutation test results show that the year of 2010 is the mutation point of evapotranspiration time series data. There are obvious differences in spatial distribution pattern and change trend between the actual evapotranspiration (ET) and potential evapotranspiration (PET) in the Yinchuan Plain. Actual evapotranspiration shows an increasing trend in recent 16 years, and potential evapotranspiration shows a decreasing trend, which conforms to the theory of complementary evapotranspiration in arid areas. The future development trend of surface evapotranspiration in the Yinchuan Plain in 2024 is predicted with the CA-Markov model. The simulation results show that the evapotranspiration will still increase in the next five years. The spatio-temporal variation of evapotranspiration is affected by climate and human activities. Evapotranspiration is positively correlated with temperature, precipitation and sunshine hours, and is negatively correlated with relative humidity. Land use structure affects annual evapotranspiration. The results also show the rule: Evapotranspiration of paddy field > dry land > woodland > grassland > desert. |
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