估算陆地蒸散量的双源非参数方法：涡度协方差站点验证

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology Pub Date : 2024-11-07 DOI:10.1016/j.jhydrol.2024.132278

Xin Pan , Zi Yang , Jie Yuan , Rufat Guluzade , Zhanchuan Wang , Suyi Liu , Yulong Zhou , Wenqing Ma , Yingbao Yang , Yuanbo Liu

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引用次数: 0

摘要

开发双源蒸散（ET）方法是精确估算蒸散发的一大挑战。作为一种单源蒸散发方法，非参数（NP）方法的性能受限于限水情况下传统蒸散发平衡方程的不可用性。为解决这一问题，在 NP 方法中引入了由相对湿度（RH-PM）表示的彭曼-蒙蒂斯方程导出的双源平衡蒸散发方程，然后提出了将植被和土壤作为单独来源的双源非参数（TS-NP）方法。与传统的平衡蒸散发方程和地表通量平衡理论相比，双源法得出的裸土地表平衡蒸散发精度有了显著提高（相对误差：31.26%；均方根误差：13.18 W/m2）。经涡度协方差塔站点验证，TS-NP 方法在裸露土壤表面的性能令人满意，与 NP、SFE-NP 和 RH-PM 方法相比，其蒸散发估算误差显著减少（接近 1/2）（相对误差：49.45%；有效值误差：16.15 W/m2）。在茂密植被地表，TS-NP 方法的性能（相对误差：8.44 %；有效值：17.44 W/m2）也略好于 NP 方法、SFE-NP 方法和 RH-PM 方法。此外，气温和地表温度是 TS-NP 方法中最敏感的输入变量，尤其是在裸露土壤表面。由 TS-NP 组合方法得出的蒸散发在干旱地区（相对误差：22.20%；均方根误差：16.52 W/m2）和非干旱地区（相对误差：8.12%；均方根误差：17.61 W/m2）表现最佳，并且 TS-NP 组合方法在底层异质性方面具有令人满意的精度。因此，TS-NP 方法为高精度蒸散发估算提供了一种简单而高效的双源方法。

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A two-source non-parametric method for estimating terrestrial evapotranspiration: Validation at eddy covariance sites

Developing a two-source evapotranspiration (ET) method is a major challenge of the accurate ET estimation. As a single source ET method, the performance of Non-Parametric (NP) approach is limited by the unavailability of conventional equation of equilibrium ET in the water-limited situation. To solve this problem, a two-source equilibrium ET equation derived from Penman–Monteith equation expressed using relative humidity (RH-PM) is introduced into the NP method, then a Two-Source Non-Parametric (TS-NP) method is proposed regarding vegetation and soil as individual source. The accuracy of equilibrium ET derived from two-source method has significantly improved in the bare-soil surface (relative error: 31.26 %; RMSE: 13.18 W/m²) compared with that of conventional equilibrium ET equation and surface flux equilibrium (SFE) theory. Validated by eddy covariance tower sites, the performance of TS-NP method on bare soil surfaces is satisfactory, involving a significant reduction (near to 1/2) in the ET estimation error (relative error: 49.45 %; RMSE: 16.15 W/m²) compared with that of NP, SFE-NP and RH-PM method. On the dense vegetation surface, the performance of TS-NP method (relative error: 8.44 %; RMSE: 17.44 W/m²) is also slightly better than that of the NP method, SFE-NP and RH-PM method. In addition, air temperature and surface temperature are the most sensitive input variables in the TS-NP method, particularly in bare soil surface. The ET derived from the combined TS-NP method shows the best performance in arid areas (relative error: 22.20 %; RMSE: 16.52 W/m²) and non-arid areas (relative error: 8.12 %; RMSE: 17.61 W/m²), and the combined TS-NP method has satisfactory accuracy on the heterogeneity of underlying. Therefore, the TS-NP method provides a simple but efficient two-source method for high-precision ET estimation.

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来源期刊

Journal of Hydrology 地学-地球科学综合

CiteScore

11.00

自引率

12.50%

发文量

1309

审稿时长

7.5 months

期刊介绍： The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.