Palestinian Water: Resources, Use, Conservation, Climate Change, and Land Use
Bibliographic record
Abstract
Abstract This article addresses the future of freshwater resources in the Palestinian West Bank through a discussion of contemporary issues that each plays a vital role in determining the long‐term sustainability of freshwater reserves, such as water resource availability, trans‐boundary water issues, water reuse and conservation, changes in land use, and the potential impact of climate change on long‐term water management. Climate change and changing land use patterns are already altering this region's water resources. Future predictions regarding the long‐term effects of these changes are complex and therefore inherently uncertain. However, the consensus among most studies on this subject indicates that currently water‐poor regions such as the Middle East will experience even greater water stress in the future. Nearly all of the freshwater consumed in the West Bank is obtained from local groundwater supplies that are suffering overdraft as well as decreasing water quality. Climate change will exacerbate water stress by increasing overall temperatures, decreasing and fluctuating precipitation, and reducing overall aquifer replenishment. Expanding urbanization will continue to strain freshwater supplies by negatively impacting the quality and quantity of available freshwater. Water management in the West Bank is further complicated by total Israeli control over water resources, which often causes water delivery to Palestinians in this region to be marginalized. This article finds that Palestinian and Israeli water managers must plan for future water crises, which will likely be a result of the combined effects of increasing urbanization and climate change coupled with exponential population growth.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".