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Record W1986564589 · doi:10.5339/qfarf.2013.eep-018

Adaptive water resources management under global environmental change: Examples from a small semiarid Mediterranean municipal district

2013· article· en· W1986564589 on OpenAlexaff
Ioannis K. Tsanis, Aristeidis Koutroulis

Bibliographic record

VenueQatar Foundation Annual Research Forum Volume 2013 Issue 1 · 2013
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsMcMaster University
Fundersnot available
KeywordsClimate changeMediterranean climateGreenhouse gasEnvironmental sciencePrecipitationWater resourcesWater cyclePopulationWater supplyGlobal warmingClimate modelClimatologyEnvironmental resource managementGeographyNatural resource economicsWater resource managementMeteorologyEcologyEconomicsEnvironmental engineering

Abstract

fetched live from OpenAlex

Climate change is expected to have a significant impact on the hydrologic cycle, creating changes in freshwater resources. Globally, the supply of freshwater far exceeds human requirements. However, by the end of the 21st century, these requirements will begin to approach the total available water. Regionally, water demand for various sectors already exceeds supply. This will most probably get worse with increasing population and societies' changing water demands. On the other hand, many experts believe that we are currently (2013) on the 4°C path and the 2°C target has become unrealistic because it would require reductions in greenhouse gas emissions that would be too deep and too abrupt to be sustained by the world's economy. Thus, policymakers, businesses and other decision-makers need to plan ahead for adaptation to changes in climate associated with higher levels of global warming. This requires coherent information on the new conditions which must be adapted to, and the consequences of different courses of adaptation action. The Mediterranean has been described as one of the main climate change "hot-spots", with recent simulations showing a collective picture of substantial drying and warming. This effect appears more pronounced during warm periods, when the seasonal decrease of precipitation can exceed control climatology by 25-30%. State-of-the-art climate model projections combined with local hydrological modeling for the island of Crete, Greece, for the period 1970-2100 reveals an overall decreasing precipitation trend (Fig 1.) which, combined with a temperature rise (Fig. 1), leads to substantial reduction of water availability (Fig. 2). Due to projected climate changes the region may face intense droughts that will intensify regional environmental problems. The changes in magnitude and frequency of precipitation will cause severe problems to the water availability which is currently being achieved through traditional methods such as groundwater exploitation, surface water storage and water transport amongst neighboring regions. An alternative method to tackle these water shortages is the exploitation of treated wastewater in the water demanding sector of irrigation which can be proved to be a low-cost and technically feasible solution. The present study deals with the evaluation of water resources availability and wastewater reuse perspectives in the water resources management for the small Mediterranean municipal district of Akrotiri, in northwest Crete. Alternative measures, like transportation of water from distant springs, effluent reuse and desalination are compared via a simple cost-benefit analysis. Wastewater reclamation and reuse cost is favorably compared to the existing practice of surface or/and groundwater use and is far more cost effective than desalination. Moreover, wastewater reuse for irrigation has the main advantage of coastal protection, i.e., zero effluent discharge in coastal areas, while it provides a water source that is not dependent on climate variability. Quantitative analysis provides the data required to develop appropriate strategies on water shortage mitigation through effluent reuse, under a changing climate and increased water demand perspectives.

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.

How this classification was reachedexpand

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.008

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 head0.049
GPT teacher head0.268
Teacher spread0.219 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes1
Has abstractyes

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