questions for hydrology exam

possible questions at hydrology exam

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Christian Voegeli

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Langue	English
Catégorie	Histoire naturelle
Niveau	Université
Crée / Actualisé	08.01.2014 / 24.01.2020
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advantages of stochastical models compared to other approaches considering filling in missing observations?

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robust, uncertainities....

what methods do we know for filling in missing data?

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classical: station average, normal-ratio, inverse distance

regression

time series analysis

what can stochastic models be used for?

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filling in missing data

rainfall disaggregation

name stochastic models for rainfall disaggregation

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scaling-stochastic model -> cascade model (micro-/canoncial, un-/bounded)

which saturation process is best to describe a small saturated area in a catchment?

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dune, saturation excess

what is the difference between horton and dune infiltratin mechanisms?

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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?

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horton: P, fc

dune: S_cap -> is a function of Z_soil, θ_satand θ_r

what is rainfall disaggregation?

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to do

when is rainfall disaggregation useful?

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to do

what methods for rainfall disaggregation are known?

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deterministic: constant model, ormsbee model

stochastic methods: randomisation of ormsbee

scaling methods: cascade model

differences between micro- and canoncial model?

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what is the cascade generator w?

to do

what is the probability distribution of the cascade generator W?

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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....

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questions for hydrology exam

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