景观湖泊第三级富营养化模型研究

发布时间：2018-04-16 08:31

本文选题：景观湖泊 + 富营养化模型　；参考：《天津理工大学》2017年硕士论文

【摘要】：近年来,作为人类休闲、娱乐的重要环境地之一—景观湖泊,其水体的富营养化趋势日益明显,如何高效地控制和缓解富营养化成为人们亟待研究与解决的热点之一。富营养化模型基于水体富营养化机理,构建关于水生生态系统中生物及水质环境之间的物理、化学及生物过程的数学表达式,分析水体中不同变量的变化发展状况,可作为湖泊富营养化预防、管理的重要工具。本文以富营养化模型为研究主题,探究景观湖泊中第三级营养级—鱼类子模型的构建、对水体富营养化的影响,并给出鱼类控制富营养化的建议。首先,借鉴相关鱼类子模型的构建方法,构建鱼类在合成代谢与分解代谢综合作用下的生物量变化质量守恒方程。合成代谢来源于鱼类摄食的食物的同化作用,鱼类分解代谢包括:鱼类自身的基础代谢作用、鱼类通过摄食作用导致的食物代谢分解以及鱼类的死亡三个部分。其次,基于文献查阅和实验研究,确定出模型中所需的常数值及参数先验信息,应用贝叶斯理论中MCMC算法求解参数的后验分布。本文为提高MCMC算法的效率,采用多链并行化运算的自适应Metropolis算法,并联合遗传算法,基于MATLAB软件平台得到参数的后验分布采样。再次,在前述第三级(鱼类)富营养化模型建立的基础上,耦合两级富营养级(浮游植物-浮游动物)富营养化模型,构建三级(浮游植物-浮游动物-鱼类)模型。并以校园明理湖作为研究对象,调研其优势鱼种及鱼种的主体年龄分布,选择鲫鱼及麦穗鱼两个优势鱼种作为模型研究的代表性鱼类,进行模型模拟与分析,验证模型的有效性及评价算法的性能。最后,简要阐述鱼类对湖泊富营养化的影响及产生原因,并给出鱼类控制富营养化的建议性措施,为湖泊富营养化的修复及渔业管理提供理论指导。
[Abstract]:In recent years, as one of the important environment places for human leisure and entertainment, landscape lakes have become increasingly obvious eutrophication trend. How to effectively control and mitigate eutrophication has become one of the hotspots to be studied and solved.Based on the mechanism of eutrophication, the mathematical expressions of physical, chemical and biological processes between organisms and water quality environment in aquatic ecosystem are constructed, and the variation and development of different variables in water body are analyzed.It can be used as an important tool for the prevention and management of lake eutrophication.In this paper, the eutrophication model is taken as the research topic, and the construction of the third trophic grade fish sub-model in the landscape lake is explored, and the influence on eutrophication of water body is discussed, and some suggestions for fish eutrophication control are given.Firstly, the mass conservation equation of biomass changes of fish under the combined action of synthetic metabolism and catabolism is constructed by using the method of constructing relevant fish sub-models.The catabolism of fish comes from the assimilation of food consumed by fish. Catabolism of fish consists of three parts: the basic metabolism of fish itself, the catabolism of food caused by fish feeding, and the death of fish.Secondly, based on literature review and experimental research, the required prior information of constant values and parameters in the model is determined, and the posterior distribution of parameters is solved by using MCMC algorithm in Bayesian theory.In order to improve the efficiency of MCMC algorithm, an adaptive Metropolis algorithm based on multi-chain parallelization is adopted, and a genetic algorithm is combined to obtain the posterior distribution sampling of parameters based on MATLAB software platform.Thirdly, on the basis of the establishment of the tertiary (fish) eutrophication model, a three-stage model (phytoplankton, zooplankton and fish) model is constructed by coupling the two-stage eutrophication model (phytoplankton-zooplankton) eutrophication model.The main age distribution of dominant species and fish species were investigated, and two dominant species of crucian carp and wheat spike fish were selected as the representative fish in the model study, and the model simulation and analysis were carried out.Verify the validity of the model and evaluate the performance of the algorithm.Finally, the effects of fish on lake eutrophication and the reasons for fish eutrophication are briefly described, and the suggested measures for fish eutrophication control are given, which can provide theoretical guidance for lake eutrophication restoration and fisheries management.
【学位授予单位】：天津理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：X524

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