WANG Yongfeng,JING Juanli,MA Bingxin.Spatiotemporal Characteristics of Evapotranspiration and Its Driving Climate Factors in the Karst Areas of Yunnan-Guizhou-Guangxi[J].Research of Soil and Water Conservation,2022,29(05):235-243.
滇黔桂岩溶区ET时空特征及气候因子驱动
- Title:
- Spatiotemporal Characteristics of Evapotranspiration and Its Driving Climate Factors in the Karst Areas of Yunnan-Guizhou-Guangxi
- 文章编号:
- 1005-3409(2022)05-0235-09
- Keywords:
- karst areas of Yunnan-Guizhou-Guangxi; evapotranspiration; trend analysis; Hurst index; correlation analysis
- 分类号:
- P426.2
- 文献标志码:
- A
- 摘要:
- 基于滇黔桂岩溶区2000—2014年MOD16 ET产品和同期72个气象站点数据,运用趋势分析法、Hurst指数、偏相关分析法和复相关分析法,探究地表蒸散发时空变化特征及其气候因子驱动。结果表明:(1)年际ET呈不显著增加趋势(p>0.05),距平相对变化率年际差异较大; 年内ET呈单峰变化趋势,7月份达到最大值; 不同生态地理区ET具有差异性。(2)ET多年均值总体呈西北部低、东南部高的空间分布格局; 季节ET均值差异显著,夏季ET最强,冬季最弱。(3)年际ET变化趋势以不显著变化为主,呈增加趋势的区域面积略大于呈减少趋势的区域面积; Hurst指数大于0.5的持续性区域占比91.41%,ET变化趋势以持续性为主导; 不同植被类型ET均值及变化趋势具有差异性。(4)不同生态地理区ET与降水和温度的偏相关系数波动较大,温度对ET的影响大于降水; ET与降水和气温的复相关系数总体呈不显著正相关,复相关系数值在空间上呈西北高、东南低的分布格局; ET受气候因子驱动的地区主要表现为气温驱动。综上,揭示了滇黔桂岩溶区ET时空变化特征,明确了ET变化的主要气候驱动类型。
- Abstract:
- The spatiotemporal variation characteristics of evapotranspiration and its driving climate factors in the karst areas of Yunnan-Guizhou-Guangxi were investigated based on the MOD16 ET products and 72 meteorological stations from 2000 to 2014 by using trend analysis, Hurst index, partial correlation analysis and complex correlation analysis methods. The results showed that:(1)the annual ET showed an insignificant increasing trend(p>0.05), and the relative change rate of anomaly was significantly different between years; the monthly ET showed a unimodal trend and reached to the maximum value in July; values of ET were different among eco-geographical regions;(2)the spatial distribution of annual mean ET was low in the northwest and high in the southeast; the seasonal mean ET was significantly different, with the strongest level in summer and the weakest level in winter;(3)the variation trend of interannual ET was mainly insignificant, and the area with increasing trend was slightly greater than that with decreasing trend; the region where Hurst index was greater than 0.5 accounted for 91.41%, and therefore the variation trend of ET was dominated by persistence; the mean values and variation trends of ET in different types of vegetation were different;(4)the partial correlation coefficients between ET and precipitation and temperature fluctuated greatly among eco-geographical regions, and the influence of temperature on ET was greater than that of precipitation; the complex correlation coefficient between ET and precipitation and temperature was insignificantly positive, and the spatial distribution of coefficient was high in northwest and low in southeast; the climate-driven region of ET was predominantly temperature-driven in the study area. In summary, the spatial and temporal variation characteristics of ET in karst region of Yunnan-Guizhou-Guangxi were revealed, and the main climate driving types of ET changes were clarified.
参考文献/References:
[1] 王桐,唐荣林,李召良,等.遥感反演蒸散发的日尺度扩展方法研究进展[J].遥感学报,2019,23(5):813-830.
[2] Wang K, Dickinson R E. A review of global terrestrial evapotranspiration: observation, modeling, climatology, and climatic variability [J]. Reviews of Geophysics, 2011,50(2):93-102.
[3] Dong Q, Zhan C, Wang H, et al. A review on evapotranspiration data assimilation based on hydrological models[J]. Journal of Geographical Sciences, 2016,26(2):230-242.
[4] 张巧凤,刘桂香,于红博,等.锡林郭勒草原蒸散发月季动态及相关因子分析[J].水土保持研究,2017,24(3):164-169.
[5] Allen R G, Pereira L S, Howell T A, et al. Evapotranspiration information reporting: Ⅱ. Recommended documentation[J]. Agricultural Water Management, 2011,98(6):921-929.
[6] Jung M, Reichstein M, Ciais P, et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply[J]. Nature, 2010,467(7318):951-954.
[7] 吴桂平,刘元波,赵晓松,等.基于MOD16产品的鄱阳湖流域地表蒸散量时空分布特征[J].地理研究,2013,32(4):617-627.
[8] Mahmood R, Hubbard K G. Simulating sensitivity of soil moisture and evapotranspiration under heterogeneous soils and land uses[J]. Journal of hydrology, 2003,280(1-4):72-90.
[9] Yin Y H, Wu S H, Zhao D S, et al. Modeled effects of climate change on actual evapotranspiration on the different eco-geographical regions in the Tibetan Plateau[J]. Journal of Geographical Sciences, 2013,23(2):195-207.
[10] Chen Y, Xia J Z, Liang S L, et al. Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China[J]. Remote Sensing of Environment, 2014,140:279-293.
[11] Mu Q Z, Zhao M S, Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 2011,115(8):1781-1800.
[12] Mu Q Z, Heinsch F A, Zhao M S, 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.
[13] Ramoelo A, Majozi N, Mathieu R, et al. Validation of global evapotranspiration product(MOD16)using flux tower data in the African Savanna[J]. South Africa Remote Sensing, 2014,6(8):942-945.
[14] Tang R, Shao K, Li Z L, et al. Multiscale validation of the 8-day MOD16 evapotranspiration product using flux data collected in China[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2015,8(4):1478-1486.
[15] 姜艳阳,王文,周正昊. MODIS MOD16蒸散发产品在中国流域的质量评估[J].自然资源学报,2017,32(3):517-528.
[16] 李汇文,王世杰,白晓永,等.西南近50年实际蒸散发反演及其时空演变[J].生态学报,2018,38(24):8835-8848.
[17] 钟昊哲,徐宪立,张荣飞,等.基于Penman-Monteith-Leuning遥感模型的西南喀斯特区域蒸散发估算[J].应用生态学报,2018,29(5):1617-1625.
[18] 蒋翼,周忠发,张勇荣,等.喀斯特山区蒸散发的时空变异特征分析:以贵州省为例[J].水利水电技术,2019,50(9):53-61.
[19] 杨江州,周旭,程东亚,等.贵州省不同地貌类型区的MOD16蒸散发变化特征[J].水土保持研究,2019,26(2):216-222.
[20] 王焕,梅再美.贵州省地表蒸散发时空变化及其与气候因子的关系[J].水土保持研究,2020,27(5):221-229.
[21] Burn D H, Elnur M A H. Detection of hydrologic trends and variability[J]. Journal of Hydrology, 2002,255(1):107-122.
[22] Abdul Aziz O I, Burn D H. Trends and variability in the hydrological regime of the Mackenzie River Basin[J]. Journal of Hydrology, 2006,319(1):282-294.
[23] 王桂钢,周可法,孙莉,等.近10 a新疆地区植被动态与R/S分析[J].遥感技术与应用,2010,25(1):84-90.
[24] Mandelbrot B B. Statistical methodology for nonperiodic cycles: from the covariance to R/S analysis[J]. Annals of Economic and Social Measurement, 1972,1(3):259-290.
[25] 叶红,张廷斌,易桂花,等.2000—2014年黄河源区ET时空特征及其与气候因子关系[J].地理学报,2018,73(11):2117-2134.
[26] 徐建华.现代地理学中的数学方法[M].北京:高等教育出版社,2017.
[27] 徐光来,李爱娟,徐晓华,等.中国生态功能保护区归一化植被指数动态及气候因子驱动[J].植物生态学报,2021,45(3):213-223.
[28] 李晓媛,于德永.蒸散发估算方法及其驱动力研究进展[J].干旱区研究,2020,37(1):29-39.
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备注/Memo
收稿日期:2021-08-20 修回日期:2021-09-02
资助项目:国家自然科学基金项目(42161028); 广西自然科学资助项目(2020GXNSFBA297160); 广西空间信息与测绘重点实验室资助项目(16-380-25-08)
第一作者:王永锋(1977—),男,陕西合阳人,实验师,硕士,主要从事环境遥感方面的研究。E-mail:6605004@glut.edu.cn
通信作者:靖娟利(1977—),女,陕西长安人,副教授,硕士,主要从事资源环境遥感方面的研究。E-mail:2003080@glut.edu.cn