• 关键词：梅梁湾  水华  SALMO  水质模拟

• 基金项目：国家自然科学基金项目(No. 50920105907);国家重点基础研究发展(973)计划项目(No.2008CB418106);中国科学院百人计划(No. A1049)

• 郭静
• 中国科学院生态环境研究中心环境水质学国家重点实验室,北京 100085

• 陈求稳
• 1. 中国科学院生态环境研究中心环境水质学国家重点实验室,北京 100085;
  2. 三峡大学,宜昌 430010

• 李伟峰
• 中国科学院生态环境研究中心环境水质学国家重点实验室,北京 100085

• 摘要：改进了湖泊水质模型SALMO,针对太湖梅梁湾,利用2005年实测数据进行模型参数率定,并模拟了2006年水质.结果发现,绿藻、蓝藻、硅藻3种藻类的模拟结果与藻类的实测年变化格局一致,反应了3种藻类的季节性演替,其中,硅藻、绿藻在冬末春初占优势,蓝藻在夏秋季占优势;溶解氧模拟结果与实测数据非常一致,年平均相对误差为14.3%;NO₃^--N和PO₄^3--P的变化趋势与实测结果基本一致.研究结果表明,SALMO能很好地模拟藻类和营养盐的浓度动态,并在一定程度上揭示水华机制.

• Abstract：The lake model SALMO (Simulation by Means of an Analytical Lake Model) was applied to simulate the water quality of the Meiliang Bay in Taihu Lake. The model includes 8 state variables: nitrate nitrogen, phosphate phosphorus, detritus, dissolved oxygen, biomass of three algae (Cyanophyta, Chlorophyta and Bacillariophyta) and zooplankton. Because SALMO was originally developed for non-shallow lakes (maximum depth>5 m), some improvements were made to SALMO before simulating the shallow Meiliang Bay. The data from the year 2005 were used for model calibration and the data from the year 2006 were used for model verification. The results showed that the modeled biomass of the three algae followed the observed seasonal patterns: Bacillariophyta and Chlorophyta were dominant from the end of winter to the beginning of spring, while Cyanophyta was dominant in summer and autumn. The modeled nutrient concentrations also showed a good agreement with the observations. This indicates that after improvement SALMO is applicable for Taihu Lake and can be used to study the mechanisms of algae bloom.

• Key words：Meiliang Bay  algae bloom  SALMO  water quality modelling

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