Bibliographic record
Abstract
Water Resources Planning and Management provides a unique insight into the problems our planet faces in terms of water quantity and quality, and what to do about it. It is the only book that adopts both a comprehensive and interdisciplinary focus to combine scientific and hydrological understanding with the social, institutional, ethical and legal dimensions of water management. Its contributions from some of the world's leading water experts, across many disciplines and with varied case studies from 19 different countries, makes it the ideal source of information for students, scholars and water practitioners. Business as usual in terms of water management in many parts of the world cannot continue. This book provides an essential guide to change. It offers: (1) foundation chapters to understanding water (such as the water cycle, surface and groundwater interactions, and water ecosystems); (2) contributions on water planning and management (such as managing water trade offs, adaptive management of water, and managing environmental flows); and (3) chapters on the challenges and experiences of water management (such as Tar Sands of Alberta and Indigenous access to water in Australia). Whether you are concerned about groundwater contamination from arsenic in Bangladesh that has affected millions of people, want to understand Hydrology 101, or how to cope with the challenges of water scarcity in cities, this book has it all.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".