A multiple regression analysis of evaporation during the growing season of vegetation in the arid zone of India

✍ Scribed by A. Krishnan; R.S. Kushwaha

• Publisher: Elsevier Science
• Year: 1973
• Weight: 480 KB
• Volume: 12
• Category: Article
• ISSN: 0002-1571
• DOI: 10.1016/0002-1571(73)90027-7

✦ Synopsis

Krishnan, A. and Kushwaha, R. S., 1973

. A multiple regression analysis of evaporation during the growing season of vegetation in the arid zone of India. Agric. Meteorol. 12: 297-307.

Class A pan evaporation data are examined for 49 computation periods of 5 days at Jodhpur in the Indian arid zone. The 5-day periods cover the growing seasons of 1963 and 1964 for native vegetation. Multiple regression analyses were carried out of evaporation Y (mm day-~ ) against the climatological factors, total global radiation X 1 (cal. cm -2 day -1 ), estimated net radiation X 2 (cal. cm -2 day -l) saturation deficit at maximum temperature epoch X 3 (mm of Hg) and saturation deficit at mean temperature X 5 (mm of Hg) and mean daily wind speed X 4 (kin h -~ ).

The results indicate that the aerodynamic factors are important in the Jodhpur climate and the pair of factors, saturation deficit at a maximum temperature epoch and daily mean wind speed explain 83% of the variance. The addition of measured total global radiation or estimated net radiation increases the explained variance by 5% and 1%, respectively.

The respective equations are: Y= 0.0122Xa + 0.2559 X~ + 0.5677 X 4 -9.0657 Y = 0.0066 X~ + 0.3260X 3 + 0.5150 X 4 -6.3571

The multiple correlation coefficients are + 0.94 and + 0.92, respectively. Partial correlation coefficients and beta-coefficients are also presented. All regressions taken singly or in pair or multiple combinations are found to be significant by the analysis of variance.