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Development of biological indicator systems and competence assessment of pollution management on the Erh-jen River and ching-chun River

Absrtact
The objectives of this project were to collect the ecological data and measure the water quality of E-ren River and Gin-gen River. Based on the established database, ecological indicators were identified, and the competence of stream pollution management on both rivers was assessed. Instruction manuals and posters for environmental education were made, and training sessions were also held. Additionally, the optimal strategy to manage the current polluted situation in both rivers was proposed. Despite the pollution condition were improved due to the dilution in rainy season and from tidal change, species composition of aquatic organisms and the index values of WQI, RPI, and BOD/DO indicated the water quality in both streams were classified as serious pollution. The biological impact from ammonia-nitrogen may be greater than heavy metal based on the result of conducting a Screening Level Environmental Risk Assessment, thus more attention should be placed on the former water quality variable. Few species were present and tolerance species were dominant the fish and macroinvertebrate communities in both streams. No statistical significant correlation was identified for both streams. Biological indicator of fish species were recommended, and a multimetric system of assessing stream environmental quality designed specifically for general public and elementary to high school students were constructed. Finally, four suggestions were made: 1. to continue conducting the current ecological monitoring in both streams to record and evaluate the effectiveness of pollution management. 2. to measure the ecological impact of heavy metal and unassessed organic pollutants by executing the tier II Environmental Risk Assessment. 3. to encourage educational personnel and community resident to apply the Macroinvertebrate Multimetric Environmental Assessment System in both streams to organize a network of water quality in both watersheds. 4. to dev
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