JGIS  Vol.7 No.1 , February 2015
Regional and Monthly Assessment of Extraterrestrial Solar Radiations in Pakistan
The monthly extraterrestrial solar radiations (ESR) have been simulated separately for all the months of the year. The subtropical location and distribution of mountains and their height determine the spatial distribution and amount of ESR in Pakistan. The mountains, piedmonts, enclosed valleys and plains show distinct diversity of ESR values. The assessment acknowledged that countries like Pakistan with ever increasing demand of energy receive sufficient amount of ESR that could be linked with solar irradiance where development of solar energy has great potential. The simulation was done with the help of ArcGIS based on distributed modeling.

Cite this paper
Ambreen, R. , Ahmad, I. , Qiu, X. and Li, M. (2015) Regional and Monthly Assessment of Extraterrestrial Solar Radiations in Pakistan. Journal of Geographic Information System, 7, 58-64. doi: 10.4236/jgis.2015.71005.
[1]   Dozier, J. and Frew, J. (1990) Rapid Calculation of Terrain Parameters for Radiation Modeling from Digital Elevation Data. IEEE Transaction on Geoscience and Remote Sensing, 28, 963-969.

[2]   Dubayah, R. and Rich, P.M. (1995) Topographic Solar Radiation Models for GIS. International Journal of Geographic Information Systems, 9, 405-413. http://dx.doi.org/10.1080/02693799508902046

[3]   Kumar, L., Skidmore, A.K. and Knowles, E. (1997) Modeling Topographic Variation in Solar Radiation in a GIS Environment. International Journal of Geographic Information Science, 11, 475-497.

[4]   Hetrick, W.A., Rich, P.M. and Weiss, S.B. (1993) Modeling Insolation on Complex Surfaces. Thirteen Annual ESRI User Conference, 2, 447-458.

[5]   Rich, P.M., Hetrick, W.A. and Saving, S.C. (1995) Modeling Topographic Influences on Solar Radiation: A Manual for the Solarflux Model. Los Alamos National Laboratory Report LA-12989-M.

[6]   Hofierka, J. and Suri, M. (2002) The Solar Radiation Model for Open Source GIS: Implementation and Applications. Proceedings of the Open Source GIS-GRASS Users Conference, Trento, 11-13 September 2002, 19 p.

[7]   Fu, P. and Rich, P.M. (2002) A Geometric Solar Radiation Model with Applications in Agriculture and Forestry. Computers and Electronics in Agriculture, 37, 25-35.

[8]   Fu, B.P. (1998) The Differences and Variations in Components of Radiation Budget on Underlying Surfaces of Different Topographies. Chinese Journal of Atmospheric Sciences, 22, 178-190. (In Chinese)

[9]   Swift Jr., L.W. (1976) Algorithm for Solar Radiation on Mountain Slopes. Water Resources Research, 12, 108-112. http://dx.doi.org/10.1029/WR012i001p00108

[10]   Reuter, H.I., Kersebaum, K.C. and Wendroth, O. (2005) Modeling of Solar Radiation Influenced by Topographic Shading-Evaluation and Application for Precision Farming. Physics and Chemistry of the Earth, 30, 143-149. http://dx.doi.org/10.1016/j.pce.2004.08.027

[11]   Frank, E.C. and Lee, R. (1966) Potential Solar Beam Irradiation on Slopes: Tables for 30? to 50? Latitude. US Forest Service’s Rocky Mountain Forest Range Experimental Station Paper RM-18.

[12]   Wan, H.T., Zhou, C.H., Wan, Q., et al. (2001) Integration of Geographical Information System Technology and Hydrological Model. Advances in Water Sciences, 12, 560-568. (In Chinese)

[13]   Qiu, X.F., Zeng, Y. and Liu, S.M. (2005) Distributed Modeling of Extraterrestrial Solar Radiation over Rugged Terrain. Chinese Journal of Geophysics, 48, 1100-1107. http://dx.doi.org/10.1002/cjg2.753

[14]   Tovar-Pescador, J., Pozo-Vázquez, D., Ruiz-Arias, J.A., Batlles, J., López, G. and Bosch, J.L. (2006) On the Use of the Digital Elevation Model to Estimate the Solar Radiation in Areas of Complex Topography. Meteorological Applications, 13, 279-287. http://dx.doi.org/10.1017/S1350482706002258

[15]   Jarvis, A., Reuter, H.I., Nelson, A. and Guevara, E. (2008) Hole-Filled SRTM for the Globe Version 4. Available from the CGIAR-CSI SRTM 90m Database.