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Biological Monitoring On Typical River And Study Its Response To Water Quality In Changzhou

Posted on:2015-08-02Degree:MasterType:Thesis
Country:ChinaCandidate:X C YangFull Text:PDF
GTID:2181330431491147Subject:Genetics
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Changzhou is the key city of Taihu Lake Basin. With the acceleration of theurbanization, supporting water environment facilities lagging, severe phenomenon ofchannel deposition and water retention, leading a serious deterioration in the urbanwater ecological and water environment that became a difficulty of improve the waterenvironment quality in cities.(1) Through the on-site field investigation, we selected13sampling points as majorecological monitoring area in Changzhou, including Beitang of backbone river,Chaizhibang of beheaded river, Tongji and Sanjing of connecting river, and an upstreampoint in demonstration zone.(2) Microbial community structure analysis was adopt polymerase chainreaction-denaturing gradient gelelectrophoresis (PCR-DGGE) molecular biologytechniques, the experiment results were obtained101clear bands, after respectivelycutting glue, recycling and sequencing. Sequence result shows the dominantmicroorganism have significant change after one year, new genera were emerged inNovember2013, including Tolumonas sp.、Rheinheimera sp.、Mycobacterium sp.、Haliscomenobacter sp.、Polynucleobacter sp.、Chlorella sp..(3) Monitoring the total count of bacteria in channel and reviewing the degree oforganic matter pollution were determined by hygiene standards. The results shows thetotal count of bacteria in winter was significant higher than other seasons, it wascorresponding with the monitoring results of water quality indexes, pollutant content isrelatively higher in winter. Compared to the other channels, reference point, its bacteriais relatively small, but microbial species was rich and water quality was cleaner, thetotal bacteria number of6#、7#is highest in Chaizhibang.(4) The bank slope plants were classified and identified by Flora, it determined thedominant species, natural species and artificial planting species, we explicited that theplant diversity didn’t have obviously promote effect on improving water quality.(5) Classification and identification of the fish species in water, by IRI wedetermined: Carassius auratus, Pseudorasbora parva, Hemiculter bleekeri, Channidae,Parabramis pekinensis are the important species; Pseudobrama simony is the common species; Pseudolaubuca sinensis, Rhodeus ocellatus, Piceus, Culter alburnus, Cyprinuscarpio are the ordinary species; and Acheilognathus macropterus, Monopterus albus,Ctenopharynodon idellus, Misgurnus anguillicaudatus, Culter dabryi, Saurogobiodumerili are the rare species. The diversity analysis result of sampling sites revealed: theMargalef Index in1#is the highest, it reached1.764. It has abundant species, and itsShannon-Wiener Index and Pielou’s Evenness Index are all in high values, it wascorresponding with the classification and identification results.(6) About the response between microbial biomass and water quality index, wecarry out research via the DNA concentration indirect instead of total microbial, thetotal microbial biomass of6#、7#is highest in Chaizhibang. And the point correspondingwater quality indicators which monitoring values were at a higher level, includingNH4+-N, TP, TN, CODMn, DNA concentration change trend has positively correlationwith the change trend of water quality index, so there is a better response relationshipbetween microbial biomass and water quality index. Suspended solids, Margalef Indexand Shannon-Wiener Index of fish were significantly positively correlation. But theothers water quality index were negatively correlated with the fish Shannon-WienerIndex.
Keywords/Search Tags:biological monitoring, microbial community structure, biodiversity, classification and identification, water quality analysis
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