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作 者:王玉琳 汪靓 华祖林 陈丹[1] 程浩淼 李嘉 程吉林[2] 刘芳[4] WANG Yu-lin;WANG Liang;HUA Zu-lin;CHEN Dan;CHENG Hao-miao;LI Jia;CHENG Ji-lin;LIU Fang(School of Environmental Science and Engineering,Yangzhou University,Yangzhou 225127,China;College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225009,China;Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education,College of Environment,Hohai University,Nanjing 210098,China;Hydrology and Water Resources Investigation Bureau of Jiangsu Province Yangzhou Bureau,Yangzhou 225002,China)
机构地区:[1]扬州大学环境科学与工程学院,江苏扬州225127 [2]扬州大学水利科学与工程学院,江苏扬州225009 [3]河海大学环境学院,浅水湖泊综合治理与资源开发教育部重点实验室,江苏南京210098 [4]江苏省水文水资源勘测局扬州分局,江苏扬州225002
出 处:《中国环境科学》2021年第6期2893-2901,共9页China Environmental Science
基 金:国家自然科学基金资助项目(51909230,51809226,51739002);中国博士后科学基金资助项目(2019M661948);工业生态与环境工程教育部重点实验室开放基金(KLIEEE-17-02);扬州大学科技创新培育基金(2019CXJ094);江苏省资助招收博士后项目(2018Z051,2019Z319)。
摘 要:运用Morris方法研究了蓝藻暴发期不同氮磷比条件下,巢湖富营养化模型中蓝藻、溶解有机碳、营养物和溶解氧的参数敏感性.结果表明:蓝藻的敏感参数随氮磷比不同有显著差异;氮缺乏情况下,蓝藻对氮转化过程相关参数较敏感;磷缺乏情况下则反之.在任何氮磷比条件下,溶解有机碳、营养物和溶解氧等非生物变量都是对直接参与其自身转化过程的参数最为敏感,它们在不同氮磷比情况下的敏感参数差异较小.相比较蓝藻生长过程的参数,基础代谢过程的参数对所有变量的影响都更强.此外,各个参数的敏感性与它们的相互作用强度呈显著正相关,且这种相关性在极端氮或磷缺乏情况下尤为显著.本研究的结果有助于深入理解湖泊富营养化现象、改善富营养化模型模拟效果和精度.The Morris method was used to study the sensitivity parameter of cyanobacteria,dissolved organic carbon,nutrients and dissolved oxygen in Chaohu Lake eutrophication model under different nitrogen to phosphorus ratios during the cyanobacteria blooms.As results shown,sensitivity parameters of cyanobacteria were significance different with the ratio of nitrogen to phosphorus.In the case of nitrogen deficiency,cyanobacteria were more sensitive to the parameters of the nitrogen conversion process,and the converse was true in the case of phosphorus deficiency.Under different ratios of nitrogen to phosphorus,non-biological variables such as dissolved organic carbon,nutrients,and dissolved oxygen were more sensitive to the parameters directly related to their own transformation process.Parameters related to the metabolism of cyanobacteria had a greater influence on all variables than that of the growth process.In addition,there was a significant positive correlation between the sensitivity of the parameters that were tested and the strength of the interaction.This was especially true in the case of extreme nitrogen or phosphorus deficiency.These results would be helpful for understanding lake eutrophication and improve the simulation effect and accuracy of eutrophication models.
关 键 词:氮磷比 参数敏感性 巢湖 富营养化模型 Morris方法 EFDC模型
分 类 号:X143[环境科学与工程—环境科学]
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