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Research Detail

  1. Home
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Dr. M. H. Ali
SSO
BINA

F. Khanam
Asso. Prof.
H.M.D.S. & T. Uni., Dinajpur

M.S.U. Talukder
Prof.
BAU

A.K.M. Adham
Assist. Prof.
IWM, BAU

Solar radiation is often required for many simulation models of evapotranspiration, crop growth and productivity, and climatic impact studies. For locations where measured values are not available along temporal and/or spatial scales, it can be estimated using empirical models. Techniques of multiple linear regression were used to develop model for site-specific forecasting of solar radiation viz. Mymensingh, Bangladesh from climatic variables. Inputs for the regression model include maximum temperature, minimum temperature, bright sunshine hour and day-length. The model was tested on an independent data set. Graphical comparison and different statistical indicators (root mean square error = 1.65 MJ/m2/d, relative error = 20%, index of agreement = 0.81) indicate that the regression model provided reasonably accurate estimates of irradiance and hence, can be used for non-instrumented periods and at sites surrounding the calibrated site.

  Global radiation, Photosynthesis, Climate, Bangladesh
  BINA, Mymensingh
  
  
  Crop-Soil-Water Management
  Weather/Climate,

The objective of this study is to estimate solar radiation from commonly available climatic data.

Site description  and data collection:   

The study site was Mymensingh ( 24 0 43"  N,  90 0 26 "  E, and 19 m   above Mean Sea Level (MSL)), Bangladesh. Solar radiation and other climatic data were collected from Bangladesh Meteorological Department.

Multiple Regression Model:

The multiple regression model tried was that of the form:

                Rg =  a0 + a1x1 + a3x2 + a3x3 + .............+  anxn            ...............................   (1)

where,  Rg is the   global radiation (MJ.m-2.d-1);  x1, x2, x3,.... xn are the  climatic variables; and a0 , a1, a2, a3,.... an  are the regression coefficients.

The selected form was:

               Rg = a0 + a1x1 + a3x2 + a3x3 +  a4x4                 ..............................................   (2)

where,  Rg =  global radiation, MJ.m-2.d-1

 x1 = maximum temperature of the day, 0C

x2 = minimum temperature of the day, 0C
x3 = bright sunshine hour for the day

             x4 =  photo-period or day-length, hr

           a0 , a1, a2, a3 and a4 = coefficients, which should be determined for the specific site

Calculation of  photo-period ( day-length)

The declination  d,  defined by Hunt (1982), as the angle of the sun north or south of the equatorial plane, can be found from the approximate equation of Cooper (1969), cited by Duffie and Beckman(1980).

  Bangladesh J. Agril. Sci.32(1): 99-104, (2005)
  
Funding Source:
1.   Budget:  
  

From the statistical indicators of the model performance, it can be inferred that the simulation performance of the model is reasonably good.  Hence, the model can be regarded as reliable, and be used at the site. It can be used for temporal scale (long-term solar energy climatology) for which historical crop yield and other records are available for model validation, but solar radiation was not measured routinely. This may be used for crop physiological studies and designing of solar energy conversion devices in the absence of radiation records. It can also be used for locations surrounding the calibrated site.

  Journal
  


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