Estimating photosynthetically active radiation (PAR) using air temperature and sunshine durations

Paper Details

Research Paper 01/10/2014
Views (246) Download (12)
current_issue_feature_image
publication_file

Estimating photosynthetically active radiation (PAR) using air temperature and sunshine durations

Abolfazl Majnooni-Heris
J. Bio. Env. Sci.5( 4), 371-377, October 2014.
Certificate: JBES 2014 [Generate Certificate]

Abstract

Photosynthetically active radiation (PAR) is a necessary input in applications dealing with plant top and underground dry matter production, plant physiology and natural lighting in greenhouses. Unfortunately, a worldwide routine network for the measurement of PAR is not yet established and it is often calculated as a constant ratio of the earth received solar radiation (Rs). Generation of simple models for independently and accurately estimating PAR from global solar radiation or other meteorological data is an important solution to the mentioned problem. In this paper, the ratio of PAR to Rs and their relations were analyzed. Then three global solar radiation estimation models were improved and calibrated based on the measured daily temperature and sunshine duration data for estimating PAR and PAR/Rs in an intermountain region of southern Iran. The average, maximum and minimum values of PAR to Rs ratio were 0.5857, 0.8841 and 0.4224, respectively during study years. Modification and calibration of Angstrom model for estimation of PAR values showed that the value of “a” and “b” coefficients are 0.188 and 0.338, respectively. In addition, the value of Hargreaves model coefficient calibrated as 0.0998. The values of daily PAR were predicted based on global solar radiation by a simple linear equation. This simple equation constant was determined 0.584 that is very close to summation of Angstrom model coefficients, 0.526, in clear sky condition. The values of MBE, RMSE and NSE confirmed that three investigated models were appropriate for predicting photosynthetically active radiation.

VIEWS 17

Alados I, Foyo-Moreno I, Alados-Arboledas L. 1996. Photosynthetically active radiation: measurements and modeling. Agricultural and Forest Meteorology 78, 121–131.

Almorox J, Hontoria C. 2004. Global solar radiation estimation using sunshine duration in Spain. Energy Conversion and Management 45, 1529–1535.

Angstrom A. 1924. Solar and terrestrial radiation. Quarterly Journal of the Royal Meteorological Society 50, 121–5.

Castellvi F. 2001. A new simple method for estimating monthly and daily solar radiation. performance and comparison with other methods at Lleida (NE Spain); a semiarid climate. Theoretical and Applied Climatology 69, 231–8.

Chen R, Kang E, Lu S, Xibin JY, Zhang Z, Zhang J. 2006. New methods to estimate global radiation based on meteorological data in China. Energy Conversion and Management 47, 2991–2998.

Frouin R, Pinker R T. 1995. Estimating Photosynthetically Active Radiation (PAR) at the earth’s surface from satellite observations. Remote Sensing of Environment 51, 98-107.

Gobron N, Pinty B, Aussedat O, Chen JM, Cohen WB, Fensholt R, Gond V, Huemmrich KF, Lavergne T, Melin F. 2006. Evaluation of fraction of absorbed photosynthetically active radiation products for different canopy radiation transfer regimes: methodology and results using Joint Research Center products derived from Sea WiFS against ground-based estimations. Journal of Geophysical Research 111, 13111–13115.

Gobron N, Verstraete MM. 2009. Assessment of the status of the development of the standards for the terrestrial essential climate variables: Leaf Area Index (LAI). Global Terrestrial Observing System Report. Rome, Italy No 66.

Hargreaves GH, Samani ZA. 1982. Estimating potential evapotranspiration. J Irrig Drain Eng 108, 225-230.

Majnooni-Heris A, Bahadori H. 2014. Calibration of the modified Angstrom global solar radiation models for different seasons in south of Iran. International Journal of Biosciences 3, 53-60.

Majnooni-Heris A. 2014, Development of new models to estimate global solar radiation in northwest of Iran, Journal of Current Research in Science 3, 390-394.

Menges HO, Ertekin C, Sonmete MH. 2006. Evaluation of global solar radiation models for Konya, Turkey. Energy Conversion and Management 47, 3149–3173.

Morisette JT, Baret F, Privette JL, Myneni RB, Nickeson JE, Garrigues S, Shabanov NV, Weiss M, Fernandes RA, Leblanc SG. 2006. Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup. IEEE Transactions on Geosciences and Remote Sensing 44, 214–231.

Myneni RB, Ganapol BD. 1992: Remote sensing of vegetation canopy photosynthetic and stomatal conductance efficiencies. Remote Sensing of Environment 42, 217-238.

Nash JE, Sutcliffe JV. 1970. River flow forecasting through conceptual models. 1. A discussion of principles. Journal of Hydrology 10, 282–290.

Ogutu BO, Dash J. 2013. An algorithm to derive the fraction of photosynthetically active radiation absorbed by photosynthetic elements of the canopy (FAPAR) from eddy covariance flux tower data. New Phytologist 197, 511–523.

Togrul IT, Togrul H, Evin D. 2000. Estimation of monthly global solar radiation from sunshine duration measurements in Elazig. Renew Energy 19, 587–95.

Zand-Parsa Sh, Majnooni-Heris A, Sepaskhah AR, Nazemosadat MJ. 2011. Modification of Angstrom model for estimation of global solar radiation in an intermountain region of southern Iran. Energy and Environment 22, 911-924.