Comparing diffuse radiation models with one predictor for partitioning incident PAR radiation into its diffuse component in the eastern Mediterranean basin
Photosynthetic photon flux Density-PAR;
Diffuse PAR component;
Empirical models;
PHOTOSYNTHETICALLY ACTIVE RADIATION;
SOLAR-RADIATION;
FRACTION;
IRRADIANCE;
ATHENS;
ERRORS;
BEAM;
D O I:
10.1016/j.renene.2009.11.015
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
In the photosynthesis process, solar radiation energy is converted to chemical energy by using atmospheric CO2. That is, almost all living species depend on energy produced through photosynthesis for their nourishing components thus making photosynthesis vital to the earth's life. Nevertheless, the knowledge of photosynthetic photon flux density Qp (PAR, 400-700 nm) is important in several applications dealing with plants physiology, biomass production, natural illumination in greenhouses and agricultural research. This study aiming to explore the applicability of several diffuse radiation empirical models, hourly measurements of diffuse PAR and global PAR irradiation collected at Athens (37 degrees N, 23 degrees E, 250 m above MSL) from 1 January 2000 to 31 December 2002, are employed. These data were used to establish an empirical model relating the spectral diffuse fraction, k(dp) (ratio of the diffuse-to-global PAR) with the fractional transmission of global PAR k(tp) (ratio of the global PAR-to-extraterrestrial solar PAR). The performance of the proposed empirical model was further compared with those of twelve other diffuse-global correlation models available in the literature in terms of the widely used statistical indicators mbe, rmse and t-test. From the overall analysis, it can be concluded that the proposed model predicts diffuse PAR values accurately, whereas most of the candidate empirical models examined here appear to be location-independent for the diffuse PAR predictions. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.
机构:
San Francisco State Univ, Dept Geog & Environm, San Francisco, CA 94132 USASan Francisco State Univ, Dept Geog & Environm, San Francisco, CA 94132 USA
Oliphant, Andrew J.
Stoy, Paul C.
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机构:
Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USASan Francisco State Univ, Dept Geog & Environm, San Francisco, CA 94132 USA