Evapotranspiration
is the key component to model the water balance of a certain place. The task of
our project is to model the water balance in a tree nursery in the central Switzerland. The
are many ways existing to distinguish the potential evapotranspiration (ET).
The focus in this blog is set on different empirical estimation of ET and
mainly on the method I described in my previous blog post.
The Penman-Montieth
Method (PMM) was recommended in the FAO 56 paper (Allen et al., 1998) and enjoys an excellent
reputation for estimating the reference crop Evapotranspiration (ET0).
However, this physically based method requires a load of data of different
weather parameters and several equation solving. Because of that I would like
to introduce three other methods, that, corresponding to (Kamasani et al., 2012) correlate the best to complex PMM.
1. Hargreaves
Method a temperature-based method (HRM)
2. Priestley and Taylor a radiation-based method (PTM) (a simplified version of the Penman-Monteith method)
3. FAO-24 Modified Penman Method a physically-based method (MPM)
2. Priestley and Taylor a radiation-based method (PTM) (a simplified version of the Penman-Monteith method)
3. FAO-24 Modified Penman Method a physically-based method (MPM)
1. Hargreaves
Method (HRM)
Hargreaves
and Samani (1982, 1985) publicated several improvements on their former
studies, for estimating grass-related reference ET (mm d−1) one of them is:
ET = aRaTD^1/2
(Ta + 17.8)
As a is a constant,
and Ra (the extraterrestrial radiation expressed in equivalent
evaporation units) can be found in tables, the only variable is TD (Temperature
difference). Therefore, you need to estimate the daily maximum and minimum
temperature. (Xu and Singh 2002)
2. Priestley
and Taylor method (PTM) a simplified version of Penman (1948)
A
simplified version of the PMM, was introduced by Priestley and Taylor (1972).
It is good for estimation of ET (mm d−1)
of generally wet or humid areas.
ET = α (Δ /
+ γ) (Rn/ λ)
For this
equation α and γ are constants. λ is the latent heat (in calories per gram),
given in tables. The net radiation (Rn) is the difference between
the incoming net shortwave radiation (Rns) and the outgoing net
longwave radiation (Rnl). And Δ is the slope of saturation vapour
pressure curve (in mb/◦C), estimation
through Local measurements of solar
radiation, minimum and maximum temperature and humidity are the requirements to
solve the equation above. (Xu and Singh 2002)
3. FAO-24
Modified Penman Method (MPM)
In 1977 a
modified method of the Penman method was introduced in the FAO 24 paper. It is
a mass transfer and energy balance method for estimation of ET0
(mm d−1).
ET0 = C ((Δ/
(Δ+γ)) Rn + (γ/(Δ +γ)) (0.27)(1.0+0.01 U2)(es-ea))
Where c =
0.68 + 0.0028 (RHmax) + 0.018 (Rs) – 0.068 (ud)
+ 0.013 (ud / un) + 0.0097 (ud)(ud/un)
+0.000043 (RHmax) (Rs) (ud). γ is the psychrometric
constant (in mb/◦C) and Δ is also the
same as in the formula above. (Xu and Singh 2002;
Kamasani et al., 2012)
For this
method measurements of temperature, relative humidity (RHmax, RHmin),
windspeed (U2, ud, un) are required to solve the
equation. Saturation vapour pressure es and ea can be calculated with temperature.
Method
|
Formula
|
Required
inputs:
Primary Secondary
|
|
Hargreaves
Method (HRM)
|
ET
= aRaTD^1/2 (Ta + 17.8)
|
Tmax,
Tmin,
|
|
Priestley
and Taylor method (PTM)
|
ET
= α (Δ / + γ) (Rn/ λ)
|
Rn,
Δ
|
Rns
and Rnl for Rn, Tmax and Tmin
for Δ
|
FAO-24
Modified Penman Method (MPM)
|
ET0
= C ((Δ/ (Δ+γ)) Rn + (γ/(Δ +γ)) (0.27)(1.0+0.01 U2)(es-ea))
c =
0.68 + 0.0028 (RHmax) + 0.018 (Rs) – 0.068 (ud)
+ 0.013 (ud / un) + 0.0097 (ud)(ud/un)+
0.000043 (RHmax) (Rs) (ud)
|
Tmax,
Tmin, RHmax,
RHmin,
u2, ud/un, es, ea, Δ
|
|
Comparison
First of
all, these methods are all recommended methods to estimate Evapotranspiration. As
the HRM method is very simply estimated with only maximum and minimum
temperature, is it useful when less meteorological data is available.
Additional to temperature, short and longwave radiation must be measured, and all the constants must be found for the conditions in the local area, to solve the Priestley and Taylor equation. The calculation of the slope of saturation vapour pressure curve is not a big deal. And radiation can be measured with pyranometers, radiometers or solarimeters.
The MPM comes along with two other parameters like windspeed and humidity. The relative humidity can be measured directly with hygrometers and the windspeed is measured with anemometers at 2 meters height.(Allan et al., 1998)
Additional to temperature, short and longwave radiation must be measured, and all the constants must be found for the conditions in the local area, to solve the Priestley and Taylor equation. The calculation of the slope of saturation vapour pressure curve is not a big deal. And radiation can be measured with pyranometers, radiometers or solarimeters.
The MPM comes along with two other parameters like windspeed and humidity. The relative humidity can be measured directly with hygrometers and the windspeed is measured with anemometers at 2 meters height.(Allan et al., 1998)
I got all
the background information out of the FAO 56 online book on the FAO webpage (fao.org).
This helped me a lot to create this post and will help our group for the
project later.
Addressing
to our project in Schinzach, it is more a matter of the equipment and meteorological
data available than the usefulness of different ways of estimating ET. With the
FAO 56 paper it is may possible to apply the most recommended Penman-Montieth
Method.
References:
G. Allan, Richard, L
Pereira, Dirk Raes, and Martin Smith. 1998. Crop
Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO
Irrigation and Drainage Paper 56. Vol. 56.
Kamasani, Chandrasekhar Reddy, S Aruna Jyothy, and P Mallikarjuna. 2012.
“Evaluation of Evapotranspiration Estimation Methods and Development of Crop
Coefficients for Groundnut Crop.” IOSR Journal of Engineering 2 (June)
Xu, C.-Y., and V. P. Singh. 2002. “Cross Comparison of Empirical
Equations for Calculating Potential Evapotranspiration with Data from Switzerland.”
Water Resources Management 16 (3): 197–219.
Hi nature. is. calling
AntwortenLöschenI liked your blog. You summarized and compared all important information. The table shows which parameters are needed to use the different methods. This will make it easier for you to choose the right method for your project. It would be interesting to learn more about the differences between the different methods, not with regard to the calculations but for example with attention to the results, the accuracy or the fields of application.
Best regards Joni
Dear Yannic
AntwortenLöschenYou summarized the different methods very well. The formulas and the tables show which parameters need to be taken into account for each method. This also visualizes the complexity of the calculations. Also the summary in the end is very useful to choose the measuring methods.
You explain what the task of our project is. However, what I missed was the research specific question we will focus our work on.
Greetings
Nayeli