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Record W2421054310 · doi:10.1139/er-2015-0089

The role of groundwater in highly human-modified hydrosystems: a review of impacts and mitigation options in the Campo de Cartagena-Mar Menor coastal plain (SE Spain)

2016· review· en· W2421054310 on OpenAlexaffvenue
Joaquín Jiménez‐Martínez, J. L. García-Aróstegui, Johannes Hunink, Sergio Contreras, Paul Baudron, Lucila Candela

Bibliographic record

VenueEnvironmental Reviews · 2016
Typereview
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsAquiferGroundwaterEnvironmental scienceWater resourcesWater resource managementHydrosphereSustainabilityEnvironmental protectionEnvironmental resource managementEcologyGeology

Abstract

fetched live from OpenAlex

Hydrological processes and water resources are increasingly modified by anthropogenic actions, leading to multiple pressures on the environment and related ecosystems. A better understanding of the interactions between the anthroposphere and the hydrosphere is necessary to shape more sustainable societies. The pressure of human activities on the environment is especially high along the circum-Mediterranean area because of a combination of biophysical and economic factors. The Campo de Cartagena coastal plain, together with the Mar Menor lagoon, is one of the most exemplary areas in this aspect. This work analyzes this system at the basin level by providing a synthesis of the state of knowledge of each hydrological compartment and the links between them. We pay special attention to the important role that groundwater plays in the overall functioning of the system, both as a promoting and (or) mitigating agent. The principal identified impacts from human actions are water imbalance (28% of consumed water resources are not renewable); aquifer-cross contamination (high areal density, ∼1.2 wells/km 2 ); acid-mine drainage (mine wastes, accounting for ∼175 hm 3 on land and ∼25 hm 3 in the sea, accumulated mainly between 1957 and 1992); and lagoon eutrophication (NO 3 – up to 1 mg/L). A set of mitigation options and complementary management measures that should be implemented following an integrative and holistic approach are presented and discussed, supporting a more sustainable regional economy and the recovery of critical ecosystem services.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.960
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.257
Teacher spread0.240 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations76
Published2016
Admission routes2
Has abstractyes

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