Analysis and Evaluation of Taiwan Water Shortage Factors and Solution Strategies
Bibliographic record
Abstract
Water resources are precious but limited natural possessions and significant to people’s livings. If the water resources could not be allocated well, the related problems will grow. The water shortage problems are not only related to rainfall, geographic landform, climate, populations, and economic activities, but also allocation, supply, and management of water resources. Hence, water shortage has become an important issue in our country.This study aims to discuss the factors of water shortage from the viewpoints of political-economics, nature, and management. Natural factors cover special geographic structure, geological structure, and climate change. Management factors include sediment deposit, water turbidity, soil conservation, water nutrition, pipeline leaking, water pollution, water waste, and water organizations. From the management perspective, the importance of water shortage factors is assessed to understanding the critical factors. The analytic hierarchy process was used to evaluate the water shortage factors to promote the rationalization of strategy formulation. The results show that higher important facts are water waste, soil conservation, and pipeline leaking.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".