碩士 / 國立屏東科技大學 / 環境工程與科學系 / 90 / ABSTRACT
The overall objective of this research is to investigate the removal efficiency of several hydrophytes to purify the swine wastewater. The selected hydrophytes included the water hyacinth, water lotus, and Leman minor. Small scale and field system were adopted to study the removal efficiency of several hydrophytes in terms of water quality index, such as suspended solid (SS), chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen (NH3-N), nitrate (NO3-N), nitrite (NO2-N), soluble COD (SCOD), total phosphorous (T-P), etc. Gravels were placed into the bottom of each basin to understand their effects on the removal of target pollutants. The removal efficiency increased with the increase of hydraulic retention time (HRT), but it reached a plateau as the HRT increased to a certain extent. For the small scale experiments, the results showed that the water hyacinth had the best average removal efficiency without gravels. The removal efficiencies for several water quality indices were 41.3% (COD), 39.2% (BOD), 74.6% (NH3-N), 52.5% (NO3-N), 58.1% (NO2-N), and 35.0% (SCOD). The water lotus showed the highest average removal efficiency for SS (32%) and T-P (39.2%). With gravels, the water hyacinth also showed the highest average removal efficiency for COD (53%), BOD (55.1%), NH3-N (76.6%) and SCOD (39.1%) with gravels. Leman minor had the highest average removal efficiency for SS (39.1%), NO2-N (90.9%), and T-P (44.9%). Water lotus showed the highest average removal efficiency for NO3-N (59.3%). Gravels had the potential to increase the removal efficiency of hydrophytes for target pollutants. The similar results were obtained by using the field-scale constructed wetland and showed promising results for removal of NH3-N, NO3-N, and NO2-N.
| Identifer | oai:union.ndltd.org:TW/090NPUST515007 |
| Date | January 2002 |
| Creators | HSU, WEN- MING, 許文明 |
| Contributors | HUANG, YI-CHU, 黃益助 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 144 |
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