四川省参考作物蒸散量时空变化特征及敏感性分析
Temporal and Spatial Variation Characteristics of Reference Crop Evapotranspiration and Its Sensitivity Analysis in Sichuan Province
摘要: 研究四川省参考作物蒸散量(ET0)时空变化特征,有助于深刻认识四川地区农业水资源需求,为科学制定灌溉措施和提高农业水资源利用效率提供理论依据。本文基于1980~2010四川35个气象站逐日观测资料,采用Penman-Monteith公式模型计算ET0,并分析了其时空变化特征,结果表明:1) 近30年来四川省ET0整体呈增加趋势,但不同站点之间差异较大;ET0在空间分布上表现为从西向东逐渐增加的趋势,东部达州地区ET0最大,历年均超过1000 mm。2) Mann-Kendall突变检测表明年参考作物蒸散量在2000年发生了显著的突变型增大,Morlet小波分析显示参考作物蒸散量存在15~20年的显著周期变化。3) 敏感性分析结果显示ET0对相对湿度的敏感程度(呈负值)最高,可见相对湿度是该地区ET0变化的主要影响因子。
Abstract: The study of the temporal and spatial variation characteristics of the reference crop evapotranspiration (ET0) is conducive to a profound understanding of the demand for agricultural water resources, and provides a theoretical basis for the scientific formulation of irrigation measures and the improvement of agricultural water resource utilization efficiency in Sichuan Province. Based on the daily observations of 35 meteorological stations in Sichuan Province from 1980 to 2010, ET0 is calculated by Penman-Monteith model, and its spatial-temporal change characteristics are analyzed. The results show that: 1) The overall trend of ET0 in Sichuan has shown an upward trend in the past 30 years. However, there are large differences of ET0 among regions. In terms of spatial distribution, ET0 increases from west to east and reach the maximum in the Dazhou region, which is more than 1000 mm over the years. 2) Mann-Kendall mutation detection shows that the annual ET0 has increased significantly in 2000, and Morlet wavelet analysis shows that ET0 has a significant periodic change from 15 to 20 years. 3) The sensitivity analysis results show that ET0 has the highest sensitivity to relative humidity (negative value), which shows that relative humidity is the main influencing factor of variation of ET0 in Sichuan Province.
文章引用:宋延杰, 吴远浩, 杨开怀, 王子豪. 四川省参考作物蒸散量时空变化特征及敏感性分析[J]. 自然科学, 2022, 10(6): 1123-1131. https://doi.org/10.12677/OJNS.2022.106125

参考文献

[1] Barbero, R., Fowler, H.J., Lenderink, G., et al. (2017) Is the Intensification of Precipitation Extremes with Global Warming Better Detected at Hourly than Daily Resolutions? Geophysical Research Letters, 44, 974-983. [Google Scholar] [CrossRef
[2] Allen, R.G., Pereira, L.S., Raes, D., et al. (1998) Crop Evapo-transpiration: Guidelines for Computing Crop Water Requirements—FAO Irrigation and Drainage Paper 56. FAO, Rome.
[3] Dinpashoh, J., et al. (2011) Trends in Reference Crop Evapotranspiration over Iran. Journal of Hy-drology, 399, 422-433. [Google Scholar] [CrossRef
[4] Sharifi, A. and Dinpashoh, Y. (2014) Sensitivity Analysis of the Penman-Monteith Reference Crop Evapotranspiration to Climatic Variables in Iran. Water Resources Man-agement, 28, 5465-5476. [Google Scholar] [CrossRef
[5] Liang, L.Q., Li, L.J., Zhang, L., et al. (2008) Sensitivity of Penman-Monteith Reference Crop Evapotranspiration in Tao’er River Basin of Northeastern China. Chinese Geo-graphical Science, 18, 340-347. [Google Scholar] [CrossRef
[6] 倪广恒, 李新红, 丛振涛, 等. 中国参考作物腾发量时空变化特性分析[J]. 农业工程学报, 2006(5): 1-4.
[7] 陈超, 庞艳梅, 潘学标, 等. 四川地区参考作物蒸散量的变化特征及气候影响因素分析[J]. 中国农业气象, 2011, 32(1): 35-40.
[8] 赵璐, 梁川. 近50年来四川省潜在蒸散量变化成因研究[J]. 水土保持研究, 2014, 21(4): 26-30.
[9] 刘悦, 崔宁博, 李果, 等. 近56年西南地区四季潜在蒸散量变化成因分析[J]. 节水灌溉, 2018(12): 54-59.
[10] 郭梦瑶, 佘敦先, 张利平, 等. 渭河流域潜在蒸散量变化的气候归因[J]. 资源科学, 2020, 42(5): 907-919.
[11] McCuen, R.H. (1974) A Sensitivity and Error Analysis Procedures Used for Estimating Evaporation. Journal of the American Water Resources Association, 10, 486-497.
[12] Lenhart, T., Eckhardt, K., Fohrer, N., et al. (2002) Comparison of Two Different Approaches of Sensitivity Analysis. Physics and Chemistry of the Earth, Parts A/B/C, 27, 645-654. [Google Scholar] [CrossRef
[13] 程正兴, 杨守志, 冯晓霞. 小波分析的理论、算法、进展和应用[M]. 北京: 国防工业出版社, 2007.
[14] 赵媛媛, 何春阳, 姚辉, 等. 干旱过程对耕地自然生产功能的影响[J]. 农业工程学报, 2009, 25(12): 278-284.
[15] 张青雯, 崔宁博, 冯禹, 等. 中国西南五省参考作物蒸散量时空变化分析[J]. 灌溉排水学报, 2016, 35(11): 80-87.