Developing A System Dynamics Model for Water Resource Management in Urban Coastal Areas: A Case Study of Semarang City, Indonesia
Bibliographic record
Abstract
This study investigated the challenges of ensuring sustainable access to clean water in Semarang City, Indonesia, with a focus on coastal areas, excessive groundwater extraction, distribution network leakage, and unique social conditions.A system dynamics model was developed to simulate various intervention scenarios, assessing the impacts of raw water reliability, leakage control, and industrial wastewater recycling.The novelty of this study lies in the comprehensive integration of these factors within an integrated modeling framework, enabling a holistic evaluation of future clean water availability under diverse policy interventions.The results indicate that, without significant intervention, Semarang City would face a significant water supply-demand gap by 2040.However, strategic investments in leakage control infrastructure and technologies, particularly under moderate and aggressive intervention scenarios, could achieve a water supply balance by 2039 and potentially generate a surplus by 2036.These findings emphasize the importance of technically and socially comprehensive water management strategies in ensuring long-term sustainability.This study provides a valuable decision-making framework for policymakers, offering actionable insights for the development of resilient and sustainable water resource management strategies in urban coastal areas.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".