Research on cyanobacteria growth of Ghuishui lake in Beijing suburb
This paper uses statistic and nonlinear regression approaches to describe and evaluate the changes of the cyanobacteria growth in the Guishui lake in Beijing remote suburb. The results show that high ratios of TN/TP (>20), and low concentrations of TP (
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creator | Lequan Min Xiaobo Jiang Yunhao Yi Yan Meng Aijun Gong Hai Yan |
description | This paper uses statistic and nonlinear regression approaches to describe and evaluate the changes of the cyanobacteria growth in the Guishui lake in Beijing remote suburb. The results show that high ratios of TN/TP (>20), and low concentrations of TP ( |
doi_str_mv | 10.1109/ESIAT.2010.5567302 |
format | Conference Proceeding |
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The results show that high ratios of TN/TP (>20), and low concentrations of TP (<;0.3 mg/L), and COD (<;30 mg/L) may constrain the growths of the cyanobacteria in the lake. The cyanobacteria growths are positively related with the concentrations of TP x COD, TN and pH. Based on the tested data from six water quality monitoring sites, two nonlinear regression formulas on the growths of blue algae cells was established. The calculated results on the number of the cyanobacteria via the nonlinear regression formulas are in good agreement with the tested data.</description><identifier>ISBN: 142447387X</identifier><identifier>ISBN: 9781424473878</identifier><identifier>EISBN: 142447390X</identifier><identifier>EISBN: 1424473896</identifier><identifier>EISBN: 9781424473908</identifier><identifier>EISBN: 9781424473892</identifier><identifier>DOI: 10.1109/ESIAT.2010.5567302</identifier><language>eng</language><publisher>IEEE</publisher><subject>cyanobacteria ; Educational institutions ; Lakes ; nonlinear regression ; total nitrogen ; total phosphoro</subject><ispartof>2010 The 2nd Conference on Environmental Science and Information Application Technology, 2010, Vol.2, p.158-162</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5567302$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5567302$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lequan Min</creatorcontrib><creatorcontrib>Xiaobo Jiang</creatorcontrib><creatorcontrib>Yunhao Yi</creatorcontrib><creatorcontrib>Yan Meng</creatorcontrib><creatorcontrib>Aijun Gong</creatorcontrib><creatorcontrib>Hai Yan</creatorcontrib><title>Research on cyanobacteria growth of Ghuishui lake in Beijing suburb</title><title>2010 The 2nd Conference on Environmental Science and Information Application Technology</title><addtitle>ESIAT</addtitle><description>This paper uses statistic and nonlinear regression approaches to describe and evaluate the changes of the cyanobacteria growth in the Guishui lake in Beijing remote suburb. The results show that high ratios of TN/TP (>20), and low concentrations of TP (<;0.3 mg/L), and COD (<;30 mg/L) may constrain the growths of the cyanobacteria in the lake. The cyanobacteria growths are positively related with the concentrations of TP x COD, TN and pH. Based on the tested data from six water quality monitoring sites, two nonlinear regression formulas on the growths of blue algae cells was established. The calculated results on the number of the cyanobacteria via the nonlinear regression formulas are in good agreement with the tested data.</description><subject>cyanobacteria</subject><subject>Educational institutions</subject><subject>Lakes</subject><subject>nonlinear regression</subject><subject>total nitrogen</subject><subject>total phosphoro</subject><isbn>142447387X</isbn><isbn>9781424473878</isbn><isbn>142447390X</isbn><isbn>1424473896</isbn><isbn>9781424473908</isbn><isbn>9781424473892</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9j9tKw0AYhFdEUGtfQG_2BVL_PSSbvayh1kJB0Fz0ruzhT7u1JrKbIH37BiwODMM3FwNDyCODGWOgnxefq3k94zBynhdKAL8i90xyKZXQsLn-h1Jtbsk0pQOMkjlXUN6R6gMTmuj2tGupO5m2s8b1GIOhu9j99mPf0OV-CGk0PZovpKGlLxgOod3RNNgh2gdy05hjwuklJ6R-XdTVW7Z-X66q-ToLGvqMC47Wao4gdOmkZMgltw0Yw3OuheLaM2ec96xALKSX1gj0jQWw2qJXYkKe_mYDIm5_Yvg28bS9fBZnWrBLwg</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Lequan Min</creator><creator>Xiaobo Jiang</creator><creator>Yunhao Yi</creator><creator>Yan Meng</creator><creator>Aijun Gong</creator><creator>Hai Yan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201007</creationdate><title>Research on cyanobacteria growth of Ghuishui lake in Beijing suburb</title><author>Lequan Min ; Xiaobo Jiang ; Yunhao Yi ; Yan Meng ; Aijun Gong ; Hai Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-232ebb92e0398c441e242bf0aa25293729d1cacdd16ee64d4ba3edfb00b9bed73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>cyanobacteria</topic><topic>Educational institutions</topic><topic>Lakes</topic><topic>nonlinear regression</topic><topic>total nitrogen</topic><topic>total phosphoro</topic><toplevel>online_resources</toplevel><creatorcontrib>Lequan Min</creatorcontrib><creatorcontrib>Xiaobo Jiang</creatorcontrib><creatorcontrib>Yunhao Yi</creatorcontrib><creatorcontrib>Yan Meng</creatorcontrib><creatorcontrib>Aijun Gong</creatorcontrib><creatorcontrib>Hai Yan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lequan Min</au><au>Xiaobo Jiang</au><au>Yunhao Yi</au><au>Yan Meng</au><au>Aijun Gong</au><au>Hai Yan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research on cyanobacteria growth of Ghuishui lake in Beijing suburb</atitle><btitle>2010 The 2nd Conference on Environmental Science and Information Application Technology</btitle><stitle>ESIAT</stitle><date>2010-07</date><risdate>2010</risdate><volume>2</volume><spage>158</spage><epage>162</epage><pages>158-162</pages><isbn>142447387X</isbn><isbn>9781424473878</isbn><eisbn>142447390X</eisbn><eisbn>1424473896</eisbn><eisbn>9781424473908</eisbn><eisbn>9781424473892</eisbn><abstract>This paper uses statistic and nonlinear regression approaches to describe and evaluate the changes of the cyanobacteria growth in the Guishui lake in Beijing remote suburb. The results show that high ratios of TN/TP (>20), and low concentrations of TP (<;0.3 mg/L), and COD (<;30 mg/L) may constrain the growths of the cyanobacteria in the lake. The cyanobacteria growths are positively related with the concentrations of TP x COD, TN and pH. Based on the tested data from six water quality monitoring sites, two nonlinear regression formulas on the growths of blue algae cells was established. The calculated results on the number of the cyanobacteria via the nonlinear regression formulas are in good agreement with the tested data.</abstract><pub>IEEE</pub><doi>10.1109/ESIAT.2010.5567302</doi><tpages>5</tpages></addata></record> |
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subjects | cyanobacteria Educational institutions Lakes nonlinear regression total nitrogen total phosphoro |
title | Research on cyanobacteria growth of Ghuishui lake in Beijing suburb |
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