dc.identifier.uri |
http://dx.doi.org/10.15488/9318 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/9371 |
|
dc.contributor.author |
Uniyal, Bhumika
|
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dc.date.accessioned |
2020-02-05T09:21:15Z |
|
dc.date.available |
2020-02-05T09:21:15Z |
|
dc.date.issued |
2019 |
|
dc.identifier.citation |
Uniyal, Bhumika: Agro-hydrological modelling of regional irrigation water demand. Hannover : Institut für Hydrologie und Wasserwirtschaft, 2019 (Mitteilungen / Institut für Hydrologie und Wasserwirtschaft ; 109), xiii, 127 S. |
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dc.description.abstract |
The irrigation sector accounts for over 70% of the total freshwater consumption
in the world. Therefore, e cient management of irrigation water is essential to
ensure water, food, energy and environmental securities in a sustainable manner;
these securities are grand challenges of the 21st century. The main objective of this
research is to evaluate the simulation of irrigation water demand at the catchment
scale in order to develop improved tools for conducting quantitative planning and
climate change studies. Irrigation water demand is mostly driven by soil moisture.
It is a state variable which is used to trigger the irrigation in hydrological models.
In this study, a hydrolgical model (Soil and Water Assessment Tool, SWAT) is
evaluated for reliably simulating the spatial and temporal patterns of soil moisture
at a catchment scale. The SWAT simulated soil moisture was compared with the
indirect estimates of soil moisture from Landsat and Time-domain re
ectometry
(TDR). The results showed that the SWAT simulated soil moisture was comparable
with the soil moisture estimated from Landsat and TDR.
Secondly, the applicability of the SWAT model was tested for simulating
stream
ow, evapotranspiration (ET) and irrigation water demand for four di erent
agro-climatic zones (Mediterranean, Subtropical monsoon, Humid, and Tropical).
Two di erent irrigation scheduling techniques were used to simulate irrigation
namely, soil water de cit and plant water demand. It was seen from the results
that the SWAT simulated irrigation amounts under soil moisture irrigation
scheduling technique were close to the irrigation statistics provided by the state.
However, the irrigation amounts simulated under the plant water demand
irrigation scheduling technique were underestimated. Additionally, the two
reanalysis data were also used to check the data uncertainty in simulating
irrigation water demand.
SWAT model code was modi ed by incorporating modi ed root density
distribution function and dynamic stress factor. The modi ed model was used to
simulate irrigation and crop yield. It was tested against the irrigation and crop
yield simulated by Soil Water Atmosphere Plant (SWAP) model and eld data
(Hamerstorf, Lower Saxony, Germany). It was then validated for di erent
catchments (Germany, India and Vietnam). The results showed that the SWAT
simulated irrigation water demand in case of plant water demand is comparable
with the amount simulated by the model under soil water de cit irrigation
scheduling technique.
This dissertation not only bridges the gap between the scales of soil moisture
determination but also establishes a close connection with the actual observations
and modelled soil moisture and irrigation amounts at the eld, regional and global
studies in agricultural water management. Additionally, the studies about
simulating irrigation water requirement in data-scarce areas must address data
uncertainty when using reanalysis data. It was found that rainfall is not always the dominant variable in irrigation simulation. Therefore, it is worth checking and
bias correct the other climate variables. |
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dc.language.iso |
eng |
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dc.publisher |
Hannover : Institut für Hydrologie und Wasserwirtschaft |
|
dc.relation.ispartofseries |
Mitteilungen / Institut für Hydrologie und Wasserwirtschaft;Heft 109 |
|
dc.rights |
Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. |
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dc.subject |
Irrigation water demand |
eng |
dc.subject |
Soil moisture |
eng |
dc.subject |
Agro-climates |
eng |
dc.subject |
Reanalysis data |
eng |
dc.subject |
Bewässerungswasserbedarf |
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dc.subject |
Bodenfeuchte |
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dc.subject |
Landsat |
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dc.subject |
SWAT |
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dc.subject |
Agroklima |
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dc.subject |
Reanalysedaten |
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dc.subject.ddc |
550 | Geowissenschaften
|
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dc.subject.ddc |
551 | Geologie, Hydrologie, Meteorologie
|
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dc.title |
Agro-hydrological modelling of regional irrigation water demand |
eng |
dc.type |
DoctoralThesis |
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dc.type |
Book |
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dc.type |
Text |
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dc.relation.issn |
0343-8090 |
|
dcterms.extent |
xiii, 127 S. |
|
dc.description.version |
publishedVersion |
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tib.accessRights |
frei zug�nglich |
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