questions for hydrology exam
possible questions at hydrology exam
possible questions at hydrology exam
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Lernkarten
advantages of stochastical models compared to other approaches considering filling in missing observations?
robust, uncertainities....
what methods do we know for filling in missing data?
classical: station average, normal-ratio, inverse distance
regression
time series analysis
what can stochastic models be used for?
filling in missing data
rainfall disaggregation
name stochastic models for rainfall disaggregation
scaling-stochastic model -> cascade model (micro-/canoncial, un-/bounded)
which saturation process is best to describe a small saturated area in a catchment?
dune, saturation excess
what is the difference between horton and dune infiltratin mechanisms?
horton: runoff, even when the soil is not saturated, infitration excess runoff
dune: saturation from below, saturation excess runoff
what parameters are needed for horton and dune runoff mechanisms?
horton: P, fc
dune: Scap -> is a function of Zsoil, θsat and θr
what is rainfall disaggregation?
to do
when is rainfall disaggregation useful?
to do
what methods for rainfall disaggregation are known?
deterministic: constant model, ormsbee model
stochastic methods: randomisation of ormsbee
scaling methods: cascade model
differences between micro- and canoncial model?
to do
what is the cascade generator w?
to do
what is the probability distribution of the cascade generator W?
to do
what is the aerodynamical resistance?
to do: eq, terms...
where is the aerodynamical resistant used?
to calculate H=(rho*Cp*delta_T)/ra
E = (rho*delta_q)/rav ; ra = rav
tau = rho * u / ram; ram almost equal to ra
also used in the penman eq.
how can the vegetation resistance be included?
rc = rs/LAI = stomata res / leaf area index
in series with ra -> replace ra with ra + rc
which methods to fill in missing data?
to do....
