湖泊富营养化模型研究进展

自多湖泊富营养化引起人类注意以来，科学家们就设法通过使用数学模型来模拟湖泊富营养化的发生，预测湖泊对不同管理措施的响应，以便批出合理的治理措施。总的来说，湖泊富营养化模型大概经历了以下三个发展阶段：（1）单限制因子模型，如磷模型；（2）多限制因子模型，如浮游植物初级生产力估测模型；（3）生态－动力学模型，它是目前也是以后发展的主不充。随着人们对湖泊生态系统认识的提高和计算机技术的发展，生态与水动力耦合模型、面向对象模型和神经网络模型等具有良好的发展前景。

Advance in study of lake eutrophication models

Since lake eutrophication was first taken into consideration, scientists had managed to simulate the appearance of lake eutrophication, predict the response of lakes to different management through mathematical models, thereby determining the proper means for management. In general, three developing phases of models of lake eutrophication have been arisen: (1) Single limited factor models, such as the phosphorus model. (2) Models of multiple limited factors, such as models for predicting the primary production of phytoplankton. (3) Eco dynamic models, which are the main developing trend of lake models at present and for the future. With improvement of understanding of lake ecosystems and the development of computers, the coupled ecological and hydrodynamic model, the object oriented model and the neural network model show promise.