Investigation of Aquatic Environment and Social Aspects of Thermal Power Plant Operation in Southern of Thailand
Bibliographic record
Abstract
Community acceptance and public participation play essential role in sustainable energy development. This study aimed to investigate the current situations of the aquatic environment and social aspects of Chana thermal power plant operation in Songkhla province of Thailand. Water quality, plankton, macro benthic fauna and fish larvae in the Na Thap River were monthly examined from January 2013 to December 2013. Moreover, 410 of villager households were selected to interview. The results revealed that water quality index can be classified as fairly clean fresh surface water resources used for consumption, but requires special water treatment process before using and for industry. Change of river’s flow direction will be increased potential of saltwater intrusion into the freshwater zone in dry season, and about 3% of annual upstream fish catch decrease, was identified. Of the 410 sampled households, most of the respondents were farmers (48.6%), employees (21.1%), local traders (17.8%) and fishermen (5.1%). Most of them (61.4%) had a monthly income 500 USD. About 77.8% of respondents complained that they and family members got sick annually. The majority of 86.6% expressed that they agreed to the power plant operation because of increasing economic growth and community development enabling. Only 13.4% have protested against the project because of environmental impact concerns and livelihood deterioration issues. Our findings indicated that aquatic environmental quality range suitable for the protection of aquatic life and sustaining biodiversity. Overall EGAT’s community service programs were highly satisfied. Establishing guidelines for collaboration among the authorities and community’s acceptance for reaching countryside happiness are our suggested.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".