dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Sterk, Geert | |
dc.contributor.advisor | de Vries, Job | |
dc.contributor.advisor | Strohmeier, Stefan | |
dc.contributor.author | Goos, F.J.J. | |
dc.date.accessioned | 2020-07-27T18:00:40Z | |
dc.date.available | 2020-07-27T18:00:40Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/36339 | |
dc.description.abstract | The Badia is a dry region that covers 81% of Jordan. At the same time it is an import
source for food, especially for agro pastoral communities depending of livestock farming
systems. Macro scale rain water harvesting (RWH) is currently used to support the
production of fodder. Vallerani structures are a promising micro RWH technique that
can be applied over large areas. Micro basins from these structures retain surface water
and store it in the soil profile, reducing surface runoff and land degradation. The Soil and
Water Assessment Tool (SWAT) was used to assess the hydrological impacts of the
Vallerani structures on a small catchment scale. A small watershed (10km2) located near
the Al-Majdiyya village and east of the Queen Alia Airport was used as study area.
An observation setup was installed to measure discharge in a sub-watershed with
Vallerani structures installed and one without any RWH. Calibration of the SWAT model
was based on this quantitative data from the 2018/2019 rainy season. It was evaluated
based on semi-quantitative data from the local population, who indicated that there are
4-6 discharge events annually. The calibrated model showed good performance for large
events, but underestimated smaller events. The number of discharge events that were
modelled was lower than indicated by the local population.
Increasing the area treated with Vallerani structures decreased the number of discharge
events linearly to a maximum of 45.3% (R2=0.984). Total flow decreased linearly as well
to a maximum of 36.2% (R2=0.996). The reductions in number of events and total
discharge produced by the SWAT model were lower than those observed in the field.
Here they decreased by 75.0% and 61.0% respectively. The model is promising as it
describes the right trends, but impact of the Vallerani structures is underestimated. A
more extensive dataset is needed to reevaluate model performance. Discharge data from
the recalibrated model can be used as input for other models to assess the effects of
Vallerani structures on the current agricultural practices. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 4741638 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Catchment-scale modelling of water
harvesting structures in the Jordan
Badia | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | SWAT, Badia, water harvesting, Vallerani, Jordan, RWH | |
dc.subject.courseuu | Earth Surface and Water | |