水生生物学报
水生生物學報
수생생물학보
ACTA HYDROBIOLOGICA SINICA
2009年
3期
418-425
,共8页
浮游植物%生物修复%粒径%叶绿素α
浮遊植物%生物脩複%粒徑%葉綠素α
부유식물%생물수복%립경%협록소α
Phytoplankton%Bioremediation%Chlorophyll-α%Size-fractionation
通过对黑臭水体生物修复过程中水体理化指标以及浮游植物粒经分级叶绿素α的分析,探讨了水体生物修复对理化因子的影响以及各粒级浮游植物与理化因子的关系.生物修复实施后,各试验组CODCr,和BOD5均呈下降趋势,试验组C、D、E的氨氮、总氮和总磷净化效果均较显著,氨氮去除率分别达到71.3%、84.0%和93.2%,总氮去除率分别达到45.2%、64.6%和78.0%,总磷下降幅度分别达到46.2%、50.3%和75.5%.其中,试验组理化环境改善最佳的组为E组,其CODCr、NH4和TP指标均较对照组A有明显下降(p<0.05).Netphytoplankton Chlα%与CODCr、TN、NH4和TP呈非常显著的负相关(p<0.01),与NO2-N和NO3-N呈非常显著的正相关;而Nanophytoplankton Chlα%和Picophytoplankton Chlα%对上述环境因子的响应与Netphytoplankton Chlα%相反.
通過對黑臭水體生物脩複過程中水體理化指標以及浮遊植物粒經分級葉綠素α的分析,探討瞭水體生物脩複對理化因子的影響以及各粒級浮遊植物與理化因子的關繫.生物脩複實施後,各試驗組CODCr,和BOD5均呈下降趨勢,試驗組C、D、E的氨氮、總氮和總燐淨化效果均較顯著,氨氮去除率分彆達到71.3%、84.0%和93.2%,總氮去除率分彆達到45.2%、64.6%和78.0%,總燐下降幅度分彆達到46.2%、50.3%和75.5%.其中,試驗組理化環境改善最佳的組為E組,其CODCr、NH4和TP指標均較對照組A有明顯下降(p<0.05).Netphytoplankton Chlα%與CODCr、TN、NH4和TP呈非常顯著的負相關(p<0.01),與NO2-N和NO3-N呈非常顯著的正相關;而Nanophytoplankton Chlα%和Picophytoplankton Chlα%對上述環境因子的響應與Netphytoplankton Chlα%相反.
통과대흑취수체생물수복과정중수체이화지표이급부유식물립경분급협록소α적분석,탐토료수체생물수복대이화인자적영향이급각립급부유식물여이화인자적관계.생물수복실시후,각시험조CODCr,화BOD5균정하강추세,시험조C、D、E적안담、총담화총린정화효과균교현저,안담거제솔분별체도71.3%、84.0%화93.2%,총담거제솔분별체도45.2%、64.6%화78.0%,총린하강폭도분별체도46.2%、50.3%화75.5%.기중,시험조이화배경개선최가적조위E조,기CODCr、NH4화TP지표균교대조조A유명현하강(p<0.05).Netphytoplankton Chlα%여CODCr、TN、NH4화TP정비상현저적부상관(p<0.01),여NO2-N화NO3-N정비상현저적정상관;이Nanophytoplankton Chlα%화Picophytoplankton Chlα%대상술배경인자적향응여Netphytoplankton Chlα%상반.
The relationships between organism and its surroundings have been widely adopted to evaluate the health of eco-system. Through the analysis of the size-fractionated phytoplankton in black and feculent water, it discussed the effect of bioremediation on all size-fractionated phytoplankton and the relationship of all size-fractionated chlorophyll-α with envi-ronmental factors to bioremediation, so as to provide biological proof for illustrating the efficiency of measures taken for the bioremediation.Comprehensive measures concerning ecology including the way of adding bioenergizer, biologic algaecide, effective microbe into water, and planting macrophyte are adopted. Group A is the contrast group, does not use any measures; Group B, C, D, E, F and G are test groups. Group B add photosynthetic bacteria and nitrifying bacteria; Group C add photosynthetic bacteria nitrifying bacteria and oxygen strengthen; Group D add photosynthetic bacteria nitrifying bacteria bioenergizer and oxygen strengthen ; Group E add photosynthetic bacteria nitrifying bacteria bioenergizer plant Eichhornia crassipes and oxygen strengthen; Group F add photosynthetic bacteria nitrifying bacteria bioenergizer and plant Eichhornia crassipes ; Group G add bioenergizer and oxygen strengthen. Beforehand, background was sampled twice on 28th of August in 2002. The experiment began from August 29, 2002. And after the engineering project, samples for water quality analyses were collected on the 29th and 31st of August, the 3rd, 6th , 9th, 12th and 17th of September respectively. Water samples for phytoplankton analyses were collected with length Niskin bottles ( for a total final volume of 10L). The samples were divided into Pico (0.2-2.0 μm), Ultra (0.2-5 μm), Nano (2-20 μm) and Net (20-200 μm) size fractions by filtration. Chlorophyll-a was determined by spectrophotometry following the methods proposed by Lorenzen on the 9th, 12th and 17th of September in 2002 respectively. Within the periods of this survey, both of CODcr and BOD5 lowered after bioremediation and the effect of cleansing were very significantly in group C, D and E, the removal rates of NH, were 71.3% , 84.0% and 93.2% ; TP were 5.2% , 64.6% and 78.0% ; TN were 46.2% , 50.3% and 75.5% separately in the three groups and the effect of group E was the best. CODcr, NH, and TP were decreased significantly compared with the contrast group A (p < 0.05 ). Bivari-ate correlate analyze was done between the content of all size-fractionated chlorophyll-a, the percentages of all size frac-tionated contents to bulk contents with all environmental factors. The result showed that the percentages of Net-Chla% significantly negatively correlated with CODcr,TN, NH, and TP and positively with NO2-N and NO3-N, while the percentage of Nano-Chla% and Pico-Chla% positively correlated with CODcr, TN, NH, and TP and negatively with NO2-N and NO3-N. As both of the TN and NH4, TP and COD are indexes reflecting the level of the water contamination, results of the above analysis signified that the percentage of Nano- and Net-chla were closely correlated with the level of water contamination.