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Enregistrement W2956619100 · doi:10.1111/gwat.12902

What Is the Future of Groundwater?

2019· editorial· en· W2956619100 sur OpenAlexaff
Alfonso Rivera

Notice bibliographique

RevueGround Water · 2019
Typeeditorial
Langueen
DomaineEngineering
ThématiqueWater resources management and optimization
Établissements canadiensGeological Survey of Canada
Organismes subventionnairesnon disponible
Mots-clésAquiferGroundwaterHydrogeologyResource (disambiguation)PoliticsMultidisciplinary approachRealmEnvironmental planningEnvironmental resource managementPolitical scienceSociologyGeographySocial scienceEnvironmental scienceEngineeringComputer scienceLaw

Résumé

récupéré en direct d'OpenAlex

“The problem of finding water for the needs of man is not new. What is new is the magnitude and extent of the acceleration of demand” (UNESCO 1974). Forty-five years later, this axiom is more relevant than ever. During my career that spans more than 35 years in five different countries, I have seen the science of hydrogeology developed from a purely physical science into a multidisciplinary science, a physical-chemical-social-political science. This has reshaped my approach to designing and carrying out hydrogeological studies. I will list some of the most important lessons I have learned over the years: Recognition of groundwater as an essential water resource for food security and maintaining ecosystems, assessing groundwater requires cooperation and buy-in at all levels, communication is essential outside the realm of scientific publications; simply presenting facts is not enough to inform the public's beliefs, or influence policy-makers, the need to be more persuasive and speak to our audience's values, and the need to keep up with new technologies and research strategies. Today, I see groundwater as a constantly evolving state of interconnected affaires … not always connected. The assessment of aquifers and the construction of conceptual models are made independently, without links to the social and political needs. Aquifer assessment, monitoring, and flow models are still not fully integrated in the management of groundwater resources. Most governments take decisions based on political duration periods, regardless of the groundwater time-scale effects (much slower). Large gaps on data, information and knowledge on aquifers and groundwater in many countries persist. Overexploitation of groundwater continues, showing that this is a common resource subject to the classic tragedy of the commons. International cooperation on transboundary aquifers is still very poor. Good governance of groundwater is still lacking. There is a huge gap in public and private institutions dedicated to groundwater, which do not allow a proper governance of this valuable resource. My outlook for the future, however, is an optimistic one. Groundwater will play a very important role in scenarios of changing climate. Groundwater will play an equally important role in poverty reduction within the scope of the United Nations Sustainable Development Goals (SDG6, 2016). While knowledge about groundwater remains deficient in many countries around the world, greater investments in innovative technologies will fill those gaps quickly. Groundwater awareness between society, scientists, and government are becoming more common. The increase in knowledge, communication, and transparency will motivate more concrete and efficient decision-making and management actions. The notion of aquifers (geological boundaries) is slowly disappearing, and nested (multiscale) groundwater-flow systems are becoming the units of study. Groundwater databases around the world will become interoperable and available online as open sources. In the social and legal areas, integrated surface water and groundwater models will merge with economic and social models creating unique water-management models. New technologies will facilitate much of this. Increase in the integrated water management practices with a set of remote-sensing images and databases constantly updated, recoverable in real time, and free of charge. New innovative methodologies for estimating river flow using radar (RADARSAT) images will develop, for example, Teledebit will be applied in the evaluation of rivers' flow in places not measured with hydrometric stations (Chokmani et al., 2016). These surface water flows could be used to couple groundwater-surface water models in real time. Synthetic Aperture Radar is used to track groundwater levels and make measurements of pumping-induced subsidence in real time. Use of GRACE-FO (gravity fields measured by follow-on GRACE mission) to calculate groundwater storage changes, recharge and discharge at the aquifer scale, combined with the use of quantitative indicators for groundwater management. In summary, we will need to identify the most critical groundwater-related technic-scientific, social and legal factors, as well as society and environmental issues, to quantify the amount of required groundwater that is available for all users in a sustainable way. Information acquired in real time with advanced technology will be the backbone that supports future water management scenarios.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,037
Score d'incertitude au seuil0,663

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,004
Tête enseignante GPT0,183
Écart entre enseignants0,179 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2019
Routes d'admission1
Résumé présentoui

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