Data generated at the field through field-based monitoring and assessment include climate data: temperature (C), relative humidity (%), wind speed (mph) and direction, dew point, precipitation (mm), [Evapotranspiration (ETc), and we also have Evaporation measured from an evaporation pan (ETp)], Daily soil moisture (%), Adjusted Irrigation Rate; that is, if P < ETc and the average daily soil moisture was significantly lower relative to soil temperature. Given this information, which model of soil water balance would you use to compute the water balance?
In its simplest form:
Change in Soil Water = Inputs of Water - Losses of Water
If we break these two components further, we get:
Water inputs is a function of = Precipitation + Irrigation + Groundwater charge
Water Outputs = Evapotranspiration + Deep Drainage + Surface Runoff
Thus leading us to:
Change in Soil water = (P + I + C) - (ET + D + RO)
Some of these parameters are unknown, but can be computed, since we know others. We assumed surface Runoff (RO) to be zero due to drainage at the experimental unit, which means that RO wasn't an issue.
Change in Soil Water:
Inputs [P = Precipitation, I = irrigation rate [adj recharge + Cal Recharge], C = Groundwater Charge]
Outputs [ET = evapotranspiration, DD = Deep Drainage, RO = Surface Runoff]
Others would used the Water Balance Calculation (This is more of the general calculation of water balance and might not necessarily be applicable here.)
Change in Volume (V) = [P + R + Bf] - [I + E + Et + O]
Where: P = Precipitation
R = Runoff
Bf = Baseflow
I = Infiltration
E = Evaporation
Et = Evapotranspiration
O = Overflow (this is usually not considered or considered to be 0)
Soil Water Surplus was calculated using:
S = P + I -ETc (SMa / t)
Where S = Surplus, P = Precipitation, I = Irrigation, ETc is evapotranspiration, SMa = Averaged Soil Moisture and t = Time.
Any ideas?