Analysis of the effect of seasonal changes on sensitive parameters of LAI based Penman–Monteith evapotranspiration model based on particle swarm algorithm

• Autorzy: Duan Hao , He Xin , Zhao Hongli , Jin Xiaohui , Xu Haowei , Wang Rong

Identyfikatory

DOI

10.1007/s11600-022-00959-5

• Języki publikacji: EN

Abstrakty

EN

The existing researches for leaf area index (LAI)-based Penman–Monteith evapotranspiration (ET) model (PML) are mostly carried out at yearly scale and the analysis of effects of seasonal change and different underlying surface conditions on model parameters is scarce. This study emphasizes on the influences of seasonal change and diverse land surface conditions on ET by optimizing the sensitive parameters, namely soil evaporation coefficient f and maximum stomatal conductance gsx, with particle swarm algorithm. This analysis is based on the observations of eight flux stations in China. The model performance is reasonable with a best Pearson r of 0.87. The seasonal calibration results indicate parameters change evidently in different seasons and have obvious spatial heterogeneity. The seasonal calibration method has an obvious effect on improving the ET accuracy in spring, which is mostly influenced by regional temperature and relative humidity. This study further demonstrates the need to dynamically adjust model parameters over time with PML model for evapotranspiration simulations, rather than simply setting these parameters to constants depended on subsurface conditions such as land use type.

Słowa kluczowe

EN

energy balance; evapotranspiration; Penman–Monteith; soil evaporation fraction; stomatal conductance

PL

balans energetyczny; ewapotranspiracja; Penman-Monteith; frakcja parowania gleby; przewodność szparkowa

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2023
• Tom: Vol. 71, no. 2
• Strony: 1033--1043
• Opis fizyczny: Bibliogr. 36 poz.

Twórcy

autor

Duan Hao

• Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100048, China

• https://orcid.org/0000-0002-7538-1683

autor

He Xin

• Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100048, China

autor

Zhao Hongli

• Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100048, China

autor

Jin Xiaohui

• Water Division and Irrigation Engineering Technology Center, Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China

autor

Xu Haowei

• Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100048, China

autor

Wang Rong

• School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).