基于多模型比较的云南地区蒸散量时空特性分析
Analysis of Evapotranspiration Spatiotemporal Characteristics in Yunnan Province Based on Multi-Evapotranspiration Model
DOI: 10.12677/aep.2024.144128, PDF,   
作者: 李 旭, 朱 玘, 杨发伟:华能澜沧江水电股份有限公司漫湾水电厂,云南 临沧
关键词: 蒸散量时空分异Penman公式数值模型Evapotranspiration Spatiotemporal Differentiation Penman’s Formula Numerical Model
摘要: 准确估算蒸散量并了解其时空变化有助于促进水资源的综合利用、合理配置以及管理规划。为研究云南地区蒸散量及其时空变化特征,文章选用1990年~2019年云南地区25个气象站点的逐日数据,并使用R语言包Evapotranspiration中的Penman模型、AA模型及GG模型分别计算蒸散量,由于多种因素影响会导致模型所得结果存在差值,故需要研究模型的适用性以便更好地描述区域蒸散发。研究结果表明:1) Penman模型在云南地区蒸散量估算中具有较好的适用性好;2) 云南地区蒸散量具有明显的季节性特征,蒸散量集中在夏季,春冬季节较少;3) 随着地势从北到南逐渐降低,蒸散量逐渐增加,滇西北及滇东北地区蒸散量最少,在怒江、澜沧江流域多年平均蒸散量沿河流呈条带状变化。
Abstract: Accurately estimating evapotranspiration and understanding its spatiotemporal variations will contribute to promoting the further comprehensive utilization, rational allocation, and management planning of water resources. To study the characteristics of evapotranspiration and its spatiotemporal variations in Yunnan, the daily data of 25 meteorological stations from 1990 to 2019 was selected, and the evapotranspiration was calculated respectively by Penman, AA and GG models in R package “Evapotranspiration”. Due to the difference in the results caused by various factors, it is necessary to study the applicability of the model to better describe regional evapotranspiration. The results show that: 1) Penman method is more applicable to estimate evapotranspiration in Yunnan. 2) The evapotranspiration has seasonal characteristics in Yunnan, with evapotranspiration being concentrated in summer and relatively lower in spring and winter. 3) With the decrease of terrain from north to south, the evapotranspiration increases gradually, and the evapotranspiration is the least in Northwest and Northeast Yunnan. In the Nujiang and Lancangjiang river basins, the average annual evapotranspiration along the rivers changes in a zonal pattern.
文章引用:李旭, 朱玘, 杨发伟. 基于多模型比较的云南地区蒸散量时空特性分析[J]. 环境保护前沿, 2024, 14(4): 976-982. https://doi.org/10.12677/aep.2024.144128

参考文献

[1] 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.
[2] 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): 26-36.
[3] 刘波, 翟建青, 高超, 等. 基于实测资料对日蒸散发估算模型的比较[J]. 地球科学进展, 2010, 25(9): 974-980.
[4] 韩松俊, 胡和平, 田富强. 三种通过常规气象变量估算实际蒸散量模型的适用性比较[J]. 水利学报, 2009, 40(1): 75-81.
[5] 袁旭. 基于数据驱动模型的西南跨境流域水文过程模拟及变化响应研究[D]: [博士学位论文]. 昆明: 云南大学, 2023.
[6] 张万诚, 郑建萌, 马涛, 等. 1961-2012年云南省极端气温时空演变规律研究[J]. 资源科学, 2015, 37(4): 710-722.
[7] Guo, D., Westra, S. and Maier, H.R. (2016) An R Package for Modelling Actual, Potential and Reference Evapotranspiration. Environmental Modelling & Software, 78, 216-224. [Google Scholar] [CrossRef
[8] Penman, H.L. (1948) Natural Evaporation from Open Water, Bare Soil and Grass. Mathematical and Physical Sciences, 193, 120-145.
[9] Brutsaert, W. and Stricker, H. (1979) An Advection-Aridity Approach to Estimate Actual Regional Evapotranspiration. Water Resources Research, 15, 443-450. [Google Scholar] [CrossRef
[10] Granger, R.J. and Gray, D.M. (1989) Evaporation from Natural Nonsaturated Surfaces. Journal of Hydrology, 111, 21-29. [Google Scholar] [CrossRef
[11] 许迪, 刘钰. 测定和估算田间作物腾发量方法研究综述[J]. 灌溉排水, 1997, 16(2): 54-59.
[12] 袁旭. 基于MIKE SHE水文模型的补远江流域径流模拟研究[D]: [硕士学位论文]. 昆明: 云南大学, 2019.
[13] 陈恩波, 广键梅, 张开源. 1961-2010年云南省气候变化特征分析[J]. 农学学报, 2017, 7(5): 60-68+95.
[14] 黄英, 王宇. 云南省蒸发量时空分布及年际变化分析[J]. 水文, 2003(1): 36-40.
[15] 吴绍洪, 潘韬, 曹杰, 等. 西南纵向岭谷地形对季风的“通道-阻隔”作用[J]. 地理研究, 2012, 31(1): 1-13.
[16] 万云霞, 张万诚, 肖子牛. 中国西南纵向岭谷地区可降水量的变化特征[J]. 自然资源学报, 2008(4): 657-664.
[17] 何云玲, 张一平. 纵向岭谷区“通道-阻隔”作用下气温和降雨的空间分布特征[J]. 山地学报, 2007(2): 169-176.