%0 Journal Article %T Pilot-Scale Comparison Research of Different Constructed Wetland Types to Treat Eutrophic Lake Water
3种类型人工湿地处理富营养化水体中试比较研究 %A NIE Zhi-dan %A NIAN Yue-gang %A JIN Xiang-can %A SONG Ying-wei %A LI Lin-feng %A XIE Ai-jun %A
聂志丹 %A 年跃刚 %A 金相灿 %A 宋英伟 %A 李林锋 %A 谢爱军 %J 环境科学 %D 2007 %I %X Comparison research of different constructed wetland types to treat lake Wulihu water was carried out. Under the condition of the loading rates 0.8 m3/(m2·d), the removal efficiencies of the vertical flow wetland(VFW), subsurface flow wetland(SFW) and free surface wetland(FSW) had the following results: To ammonia nitrogen (NH+4-N) the average removal rates were 33.2%, 27.4% and 14.1%, respectively; To total nitrogen (TN) the average removal rates were 52.3%, 50.1% and 19.2%, respectively; To total phosphorus (TP) the average removal rates were 58.8%, 57.9% and 26.3%, respectively; To permanganate index the average removal rates were 37.2%, 38.3% and 14.8%, respectively; To chlorophyll a (Chl-a) the average removal rates were 86.9%, 96.1% and 55.3%, respectively. Obviously, VFW and SFW are more effective than FSW at treating eutrophicated water such as Lake Wulihu which with characters of low organically pollution and with high nitrogen and phosphorus pollution, and the VFW is the most effective on the removal of NH+4-N, TN and TP. SFW is the most effective on the removal of permanganate index and Chl-a. The effluent stability of VFW is better than SFW, and the SFW is better than FSW. %K vertical flow wetland %K subsurface flow wetland %K free surface wetland %K lake Wulihu %K eutrophicated water
垂直流人工湿地 %K 潜流人工湿地 %K 表面流人工湿地 %K 五里湖 %K 富营养化水体 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=64CD0AA99DD39F69401C615B85F123EF&aid=15BD448442B396A396DF8D7F2C98924F&yid=A732AF04DDA03BB3&vid=D3E34374A0D77D7F&iid=5D311CA918CA9A03&sid=A43DA3A1D8511541&eid=BCF7BCA77FA8F9BA&journal_id=0250-3301&journal_name=环境科学&referenced_num=10&reference_num=20