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Record W7110609403

Geography of nature-based solutions in the global public water sector

2025· article· en· W7110609403 on OpenAlexaboutno aff

Bibliographic record

VenueSHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University) · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsWater sectorWater supplyWater qualityWater resourcesPopulationInternational trade and waterQuarter (Canadian coin)Order (exchange)Distribution (mathematics)Integrated water resources management
DOInot available

Abstract

fetched live from OpenAlex

Water is a basic human right essential for sanitation, health, food security, cultural practices, and livelihoods. Yet as of 2022, a quarter of the world’s population still lacked access to clean drinking water. While proposing solutions to water insecurity is as complex as water systems themselves, nature-based solutions (NbS) are one potential means of increasing water access in equitable ways. NbS are defined as systems that are designed to conserve or rehabilitate ecosystems in order to improve natural processes responsible for ecosystem services, such as the filtration and distribution of water. An important hub for improving the health of water resources and ensuring equitable water access is the public water sector. When implemented in public water municipalities, NbS can reduce water insecurity by improving the quality and quantity of water resources and managing water-related risks. To date, there are not yet studies that systematically explore how the global municipal water sector is incorporating NbS into new designs. Using semi-structured interviews and online surveys to collect data, this study sought to fill this research gap by investigating the usage of nature-based water management techniques in water municipalities spanning four continents. These municipalities were identified using Artificial Intelligence (AI) platforms. Synthesizing the data allowed for conclusions to be drawn related to how and why nature-based solutions were implemented, how effective they were at meeting their intended aims, and what improvements could be made for future applications of NbS. More specifically, results indicated that nature-based solutions are implemented in context-specific ways, largely due to geographic and economic considerations. Additionally, various water issues led to the application of NbS, such as climatic changes, drought, and water pollution. Overall, NbS were employed to build resilience and protect water resources in response to pressing water issues. This research found that NbS can be improved by gaining more public support, along with expanding and optimizing systems to accommodate for pressing water-related challenges.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.158
Teacher spread0.151 · 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.

Study designObservational
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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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