DOI: 10.1016/j.atmosres.2017.12.012
Scopus记录号: 2-s2.0-85039990046
论文题名: A new empirical model to estimate hourly diffuse photosynthetic photon flux density
作者: Foyo-Moreno I. ; Alados I. ; Alados-Arboledas L.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 203 起始页码: 189
结束页码: 196
语种: 英语
Scopus关键词: Carbon
; Forestry
; Greenhouses
; Mean square error
; Parameter estimation
; Photons
; Physiology
; Plants (botany)
; Water absorption
; Biomass productions
; Continuous measurements
; Ecosystem productivity
; Global solar radiation
; Light use efficiency
; Natural illumination
; Photosynthetic photon flux densities
; Root mean square errors
; Climate change
; biomass
; climate change
; climate conditions
; diffusion
; irradiance
; light use efficiency
; numerical model
; photon flux density
; photosynthetically active radiation
; physiology
; plant
; Andalucia
; Granada [Andalucia]
; Granada [Granada (PRV)]
; Spain
英文摘要: Knowledge of the photosynthetic photon flux density (Qp) is critical in different applications dealing with climate change, plant physiology, biomass production, and natural illumination in greenhouses. This is particularly true regarding its diffuse component (Qpd), which can enhance canopy light-use efficiency and thereby boost carbon uptake. Therefore, diffuse photosynthetic photon flux density is a key driving factor of ecosystem-productivity models. In this work, we propose a model to estimate this component, using a previous model to calculate Qp and furthermore divide it into its components. We have used measurements in urban Granada (southern Spain), of global solar radiation (Rs) to study relationships between the ratio Qpd/Rs with different parameters accounting for solar position, water-vapour absorption and sky conditions. The model performance has been validated with experimental measurements from sites having varied climatic conditions. The model provides acceptable results, with the mean bias error and root mean square error varying between − 0.3 and − 8.8% and between 9.6 and 20.4%, respectively. Relevance Knowledge of the photosynthetic photon flux density (Qp) is very important in different applications dealing with climate change, plant physiology, biomass production and natural illumination in greenhouses. Direct measurements of this flux are very scarce so that modelling simulations are needed, this is particularly true regarding its diffuse component. We propose a new parameterization to estimate this component using only measured data of solar global irradiance, which facilitates its use for the construction of long-term data series of PAR in regions where continuous measurements of PAR are not yet performed. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108939
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Departamento de Física Aplicada, Facultad de Ciencias, Universidad de Granada, Granada, 18071, Spain; Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada, 18006, Spain; Departamento de Física Aplicada II, E.T.S.I. Informática, Universidad de Málaga, Málaga, 29071, Spain
Recommended Citation:
Foyo-Moreno I.,Alados I.,Alados-Arboledas L.. A new empirical model to estimate hourly diffuse photosynthetic photon flux density[J]. Atmospheric Research,2018-01-01,203