Penman-monteith method, Applied Statistics

(a)

Average rainfall during the month of January is found to be 58 mm. A Class A pan evaporation recorded an average of 8.12 mm/day near an irrigation reservoir. The average January inflow into the reservoir is 165 m3/s and the average irrigation demand during the month is 170 m3/s. The water level drops by 0.25 m in that month and the average surface area of the reservoir is 21,000 ha. Estimate the seepage through the banks and the dam during this month. Assume the pan coefficient of 0.7 for the month of January.

(b)

Given the net radiation, Rn = 204 W/m2,

Soil heat flux density, G = 0,

Mean daily temperature = 210C,

Humidity = 58%,

Wind velocity, u = 18 km/day,

All values measured at 2 m.

Calculate potential ET using the Penman-Monteith method

Take the value of as 0.065 kPa /oC.

Posted Date: 2/28/2013 5:29:37 AM | Location : United States







Related Discussions:- Penman-monteith method, Assignment Help, Ask Question on Penman-monteith method, Get Answer, Expert's Help, Penman-monteith method Discussions

Write discussion on Penman-monteith method
Your posts are moderated
Related Questions
From the information given, what seems to be the main flaw in each of the following statistical generalisations? (i) Banking industry employees are facing a crisis, if their

For many decades, there has been considerable attention paid to identifying various factors that help to reduce the number of fatalities on Australian roads. In 1964 Victoria and S

Education seems to be a very difficult field in which to use quality methods. One possible outcome measures for colleges is the graduation rate (the percentage of the students matr

Measures of Dispersion Box 3: Food vs. Oil Below are the figures for foodgrain procurement   and cr

The following dataset is from a study of the effects of second hand smoking in Baltimore, MD, and Washington, DC. For the 25 children involved in this study the outcome variable is

There are situations where none of the three averages is fully satisfactory. For example, if the number of items in a series is very small, none of these av

An approximation to the error of a Riemannian sum: where V g (a; b) is the total variation of g on [a, b] de ned by the sup over all partitions on [a, b], including (a; b

The data in the data frame compensation are from Myers (1990), Classical andModern Regression with Applications (Second Edition)," Duxbury. The response y here is executive compens

Analysis of variance allows us to test whether the differences among more than two sample means are significant or not. This technique overcomes the drawback of the method used in

The cornlnunalities h j represent the fraction of the total variance' 'accounted for of variabie j. Ry calculating the communalities we can keep track of how much of-the orig