生物多样性 ›› 2001, Vol. 09 ›› Issue (2): 168-175.doi: 10.17520/biods.2001026

• 论文 • 上一篇    下一篇

湖泊富营养化模型研究进展

全为民, 严力蛟, 虞左明, 焦荔   

  1. 1 (浙江大学农业生态研究所,  杭州 310029)
    2 (浙江省杭州市环境保护局,  杭州 310007)
  • 收稿日期:2000-12-07 修回日期:2001-03-12 出版日期:2001-05-20
  • 通讯作者: 全为民

Advance in study of lake eutrophication models

QUAN Wei-Min, YAN Li-Jiao, YU Zuo-Ming, JIAO Li   

  1. 1 Institute of A groecology , Zhejiang University , Hangzhou  310029
    2 Hangzhou Environmental Protection Bureau of Zhejiang Province , Hangzhou  310007
  • Received:2000-12-07 Revised:2001-03-12 Online:2001-05-20
  • Contact: QUAN Wei-Min

自从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,以便找出合理的治理措施。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 发展的主流。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。

Since lake eut rophication was first taken into consideration , scientists had managed to simulate the appearance of lake eut rophication , predict the response of lakes to different management through mathematical models , thereby determining the propermeans for management . In general , three developing phases of models of lake eut rophication 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) Eco2dynamic models , which are the main developing t rend 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.

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