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大宁河富营养化现状及Chla预测模型分析(英文)

Analysis of Eutrophication Status and Chla Prediction Models for Da’ning River

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【作者】 周贤杰魏星罗固源周贤波李新宇

【Author】 Xianjie ZHOU1*,Xing WEI2,Guyuan LUO3,Xianbo ZHOU4,Xinyu LI4 1.Research Academy of Environment Science in Chongqing,Chongqing 401147,China;2.Communications 2nd Navigational Bureau 2nd Engineering Co.,Ltd(CSNEC) Chongqing,400042,China;3.Faculty of Urban Constructional & Environmental Engineering,Ministry of Education Key Laboratory for Three Gorges Reservoir Eco-Environment,Chongqing University,Chongqing 400045,China;4.Chongqing Environment Monitoring Centre,Chongqing,401147,China

【机构】 重庆市环境科学研究院中交二航局第二工程有限公司重庆大学三峡库区生态环境教育部重点实验室重庆市环境监测中心

【摘要】 [目的]该研究旨在建立Chla浓度与透明度(SD)、高锰酸盐指数(CODMn)、总氮(TN)、总磷(TP)等理化指标对数间的线性回归模型,以期为日常认识、预测和管理该水域水体的富营养化提供帮助。[方法]2005年3月~2008年7月,对大宁河5个采样断面的富营养化现状进行监测,并由此建立起Chla预测模型。[结果]结果表明,处于回水腹心区的断面水体易发生富营养化现象,其优势种在春季时段主要是拟多甲藻和梅尼小环藻,而夏季时段主要是美丽星杆藻和水花微囊藻;Chla与CODMn、TN和TP显著正相关,而与SD呈显著负相关(α=0.05).以2009~2010年监测数据作为案例进行验证,多数模型Chla预测值与实测值吻合较好,相对误差<±70%,故可以用Chla预测值对水体富营养化状况做出初步预测。[结论]该模型的建立,为预测和防治大宁河水体的富营养化提供了有用工具,对提高景区水体的观赏效果、减少不必要经济损失具有积极意义。

【Abstract】 [Objective] This study aimed to establish log-linear regression models of Chla concentration and transparency(SD),permanganate index(CODMn),total nitrogen(TN),total phosphorus(TP) and other physical and chemical indicators,to provide help for understanding,prediction and management of eutrophication in Da’ning River.[Method] During March of 2005 to July of 2008,based on monitoring of eutrophication status in five sampling sections of Da’ning River,Chla prediction models were established.[Result] The results showed that water of sections in the central backwater reach was prone to eutrophication;in spring time,the dominant species in eutrophic water were mainly Pyrrophyta(Peridiniopsis sp.) and Bacillariophyta(C.meneghiniana);in summer time,the dominant species in eutrophic water were mainly Bacillariophyta(A.formosa) and Cyanophyta(M.flos-aquae);Chla was significantly positively correlated with CODMn,TN and TP and significantly negatively correlated with SD(α=0.05).Verification results of prediction models by using monitoring data during 2009 to 2010 as cases showed that Chla predicted value in most models agreed well with the measured value RE<±70%,so the prediction models could be used for preliminary prediction of eutrophication status in the water.[Conclusion] Establishment of prediction models provided tools for prediction and prevention of the eutrophication in the water of Da’ning River,which had certain applicable value to improve the ornamental effect of water in scenic areas and reduce unnecessary economic losses.

【关键词】 大宁河富营养化现状模型预测
【Key words】 Da’ning RiverEutrophicationSituationExperiential modelPrediction
【基金】 Supported by Key Project of Ministry of Science and Technology (2004BA604 A01);Major Scientific and Technological Project in Chongqing Municipality (CSTC,2006AA7003);Natural Science and Technology Project in Chongqing Municipality (CSTC,2008BB7305)~~
  • 【文献出处】 Agricultural Science & Technology ,农业科学与技术(英文版) , 编辑部邮箱 ,2012年03期
  • 【分类号】X832
  • 【被引频次】3
  • 【下载频次】131
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