小流域水文循环过程中蒸散发量模拟方法评价

张寒; 王琳; 陈刚

doi:10.13870/j.cnki.stbcxb.2021.04.013

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小流域水文循环过程中蒸散发量模拟方法评价

更新时间：2025-03-12

- 小流域水文循环过程中蒸散发量模拟方法评价
- Evaluation of Evapotranspiration Simulation Methods in Hydrological Cycle in Small Basin
- 水土保持学报 2021年35卷第4期页码：88-95
- 作者机构：
  
  中国海洋大学环境科学与工程学院, 海洋环境与生态教育部重点实验室,山东,青岛,266100
- 作者简介：
  
  [ "张寒(1992-),男,博士研究生,主要从事生态水文过程与植被需水量研究。E-mail:zhanghan199282@126.com" ]
- 基金信息：
  
  国家重点研发计划项目（2018YFC0408000，2018YFC0408004）济南市社会民生重大专项（201704135）习近平生态文明制度思想研究重点项目（18BDCJ01）
- DOI：10.13870/j.cnki.stbcxb.2021.04.013
  中图分类号： S161.4
- 纸质出版：2021
- 稿件说明：
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张寒, 王琳, 陈刚. 小流域水文循环过程中蒸散发量模拟方法评价[J]. 水土保持学报, 2021,35(4):88-95.

ZHANG Han, WANG Lin, CHEN Gang. Evaluation of Evapotranspiration Simulation Methods in Hydrological Cycle in Small Basin[J]. 2021, 35(4): 88-95.
张寒, 王琳, 陈刚. 小流域水文循环过程中蒸散发量模拟方法评价[J]. 水土保持学报, 2021,35(4):88-95. DOI： 10.13870/j.cnki.stbcxb.2021.04.013.

ZHANG Han, WANG Lin, CHEN Gang. Evaluation of Evapotranspiration Simulation Methods in Hydrological Cycle in Small Basin[J]. 2021, 35(4): 88-95. DOI： 10.13870/j.cnki.stbcxb.2021.04.013.

摘要

蒸散发（ET）在农业灌溉和水资源管理中起着重要作用。ET可通过FAO-Penman-Monteith方法（ETFPM）进行准确估算，ETFPM方法是ET估算的标准参考方法，此方法需要提供更为详实的气象数据。对于ET的估算，需要寻找使用较少的输入数据，而不会影响预测准确性的替代方法。研究运用5个基于辐射的模型，包括Makkink（ETMAK）、Priestley和Taylor（ETPT）、Abtew（ETABT）、Jensen-Haise（ETJH）、McGuinness和Bordne（ETMB），3个基于温度的模型，包括Hargreaves and Samani（ETHS）、Hamon（ETHAM）和Linacre（ETLIN），以及1个基于空气动力学的模型Penman（ETPEN），通过使用韩仓河流域周边6个气象水文站的长期数据，将选取的模型与ETFPM模型在月尺度和生长季节尺度上进行比较评价。结果表明，ETJH、ETHAM分别是67%，33%研究区域每月ET的最佳预测方法。在研究区域中，基于辐射的方法优于基于温度的方法。植被生长季节ET累积值表明，Jensen-Haise和Hamon方法在暖季和秋冬季生长期表现最佳，而春季生长期最佳预测方法仅包括Jensen-Haise方法。最佳替代方法和ETFPM方法之间的差异表明，最佳替代方法在某些地区的估算可信度不高，因此在使用之前应考虑ET模型可预测性能的时空变化。

Abstract

Evapotranspiration (ET) plays an important role in agricultural irrigation and water resources management. ET can be accurately estimated by the FAO-Penman-Monteith method (ETFPM). The ETFPM method is the standard reference method for ET estimation. This method needs to provide more detailed meteorological data. For the estimation of ET

it is necessary to find an alternative method that uses less input data without affecting the accuracy of the prediction. This study used 5 radiation-based models

including Makkink (ETMAK)

Priestley and Taylor (ETPT)

Abtew (ETABT)

Jensen-Haise (ETJH)

McGuinness and Bordne (ETMB)

and 3 temperature-based models

including Hargreaves and Samani (ETHS)

Hamon (ETHAM) and Linacre (ETLIN)

and a model Penman (ETPEN) based on aerodynamics. Using the long-term data from 6 meteorological and hydrological stations in the Hancang River Basin

the selected model were evaluated by comparing them with ETFPM on a monthly and growing season scale. The statistical analysis revealed that ETJH and ETHAM are the best forecasting methods for monthly ET in 67% and 33% of the study area respectively. In the study area

the radiation-based methods were better than temperature-based methods. The cumulative values of ET during the vegetation growth periods showed that the Jensen-Haise method and Hamon method perform best in the warm season and autumn and winter growing seasons

while the best prediction method for the spring growing season only included the Jensen-Haise method. However

divergence between estimations of the best alternative methods and the reference method showed that the best ET alternative methods might be unreliable in some regions. Accordingly

the spatiotemporal variability in predictability performance of ET models should be taken into account prior to use.

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