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Record W7066475909

Hydrological modeling in a data-poor Mediterranean catchment (Merguellil, Tunisia). Assessing scenarios of land management and climate change

2010· dissertation· en· W7066475909 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUnitusOpen (Tuscia University) · 2010
Typedissertation
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsMediterranean climateHydrology (agriculture)Surface runoffWater balanceClimate changeAridPrecipitationDrainage basinWater resourcesLand cover
DOInot available

Abstract

fetched live from OpenAlex

In the Mediterranean regions, hydrologic processes are quite specific due to the temporal variability of precipitation characterized by a succession of drought and flash-flood periods. \nThese processes may also have changed due to a range of human activities such as land use \nchanges, dams building, soil and water conservations works. The Merguellil catchment (Central Tunisia) is a typical Mediterranean semi-arid basin which suffers regular water shortage aggravated by current drought. It extends on an area of about 1200 km² upstream of the El Houareb dam which presents its outlet. This semi-arid zone is exposed to a high variability of rainfall in time and space. Annual means vary between 300 mm in the plain and 500 mm in the highest parts. During the recent decades the continuous construction of small and large dams and Soil and Water Conservation Works (SWCW) (ie. Counter ridges) has taken place within the watershed. These practices, that currently cover nearly of the basin \nsurface, are classified in two categories: the practices on basin slopes constituted essentially by contour ridges (200 Km²) and the practices on the hydrographical network by implantation of small hilly dams draining about 170 Km. These water harvesting systems may intercept runoff at the upstream part of the catchment, thus depriving potential downstream users of their share of the resources. However, little is known about the effect of these water harvesting systems on the water balance components of arid watersheds. In such a vulnerable situation of water resources availability, it can be expected that the impact of climate change will further worsen the situation. \nThe work presented here attempts to simulate the actual water and nutrient balance using the integrated hydrological model “Soil and Water Assessment Tool” (SWAT 2005). The \nsimulation results revealed that vapotranspiration is the major component of the hydrological balance. Hydrological Calibration (1992-1994) and validation (1998) have been carried out referring to daily flow data at the Hafouz and Skhira flow-gauges. The model performance \nwas satisfactory and the Nash-Sutcliffe Efficiency coefficient ranges from 0.6 to 0.7. \nThe model was rather successful in reproducing water flow. However the low sampling frequency and the lack of detailed water quality measurement data did not allow an in-depth evaluation of the SWAT performance in predicting nutrient and sediment. Some scenarios were further generated. The first one regards the removal of contour ridges to assess their impact to water and sediment load. The results show that the contour ridges contribute to the \nretention of high quantity of sediment. These regulations reduce the surface runoff by 32 %. \nPlanting the olive trees between contours could improve its yield. The second scenario \nconsists in the reduction of the applied fertilizers. By reducing 20% in the applied fertilizers no change was detected in the olive yield, while a small change was noted for durum wheat yield’s (-2%). Whereas a net decrease in nutrient load was observed at the outlet. This reduction ranges, from 3 to 10% for nitrates, from 2.5 to 8% for total nitrogen and from 13 to 16.5 % for total phosphorus. Finally, the SWAT model was used to study the impact of future climate on water resources of this Mediterranean catchment. Future climate scenarios for periods of 2010-2039 and 2070-\n2099 were generated from the Canadian Global Coupled model (CGCM 3.1) for scenarios \nA1B, B1, and A2. These CGCMs data were then statistically downscaled to generate future \npossible local meteorological data of precipitation and temperature in the study area. SWAT model was run first under current climate (1986-2005) and then for the future climate period to analyze the potential impact of climate change on flow, evapotranspiration, and soil moisture across this catchment. Finally, Richter et al.’s Indicators of Hydrologic Alteration \n(IHA) were used to analyze the flow regime alterations under changing climate. The main \nresults indicate that this catchment would suffer a combination of increased temperature and reduced rainfall that will reduce water resources in this area. Consequently, summer droughts would be intensified. Different spatial responses to climate change were observed in the \ncatchment for near future simulations. Higher altitude regions would experience an increase of the total water yield, while a reduction is foreseen for lower parts. For far future, a noticeable decrease would affect water resources in all part of the catchment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.116
GPT teacher head0.258
Teacher spread0.142 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it