基于最大流原理的草型与藻型湖泊富营养化驱动因子识别  

Identification of eutrophication driving factors of grass-type lakes and algae-type lakes based on maximum flux principle

作　　者：毛国柱[1] 侯长胜 柴立和[1] 王洪梅[1] 

机构地区：[1]天津大学环境科学与工程学院,天津300072

出　　处：《环境工程学报》2016年第2期768-774,共7页Chinese Journal of Environmental Engineering

基　　金：国家"水体污染控制与治理"科技重大专项(2014ZX07504-005)

摘　　要：湖泊生态系统是一个十分复杂的动力学系统,Chl-a、TN、TP、COD和SD在影响湖泊生态结构的同时也被湖泊生态动力所影响,即这些因子可能在其中扮演着因和果的双重角色。本文在对现有湖泊富营养化研究工作总结与分析的基础上,为湖泊生态系统建立符合动力学原理的基于最大流原理的新模型,弱化单一的因果关系,把湖泊生态系统当作一个动态的整体来分析。选取了抚仙湖连续5年(2005—2009)以及滇池草海连续10年(1999—2008)的水质监测数据进行分析,通过比较原始数据与设置的对照组数据的模拟结果,发现藻型湖泊更容易受到化学类的营养物质驱动,而对于营养不过剩的草型湖泊,则更倾向于受到物理因子透明度的驱动。Lake ecosystem is a very complex dynamic system. The factors as Chl-a,TN,TP,COD,SD,which affect the lake ecosystem structure and are also affected by the lake ecological dynamics,may play dual roles as the cause and the result between them. By summarizing the existing researches of the evolution of lake eutrophication,we build an evolutionary model of lake eutrophication based on maximum flux principle（ MFP）in line with the dynamic principles for lake ecosystems,weakening the single causality and treating the lake ecosystem as a dynamic holistic body for analyses. The monitoring data of consecutive five-years（ 2005—2009） of Fuxianlake and data of consecutive ten-years（ 1999—2008） of Dianchi are selected for analyses. Then,we compare the simulation results from the original data and from the referenced data. It is revealed that the algaetype lakes are more susceptibly driven by the chemical nutrients while the grass-type lakes that are not nutritional excess are more susceptibly driven by the physical transparency.

关 键 词：富营养化 最大流原理 草型 藻型 驱动因子 

分 类 号：X524[环境科学与工程—环境工程]