摘要
针对兴凯湖富营养化的问题,应用生态动力学模型DELFT-3D对兴凯湖进行数值模拟,确立了一套适用于兴凯湖的特征参数,将模拟结果与实测数据对比进行准确性检验,结果显示DELFT-3D耦合模型较好地模拟了兴凯湖水质情况和藻类浓度动态,与实测数据基本吻合.在此基础上设置不同控制情景,模拟长时间序列下兴凯湖营养物投入与湖泊水质、藻类的响应关系.结果表明,小兴凯湖在惯性发展模式下TN、TP和Chl.a浓度迅速增加,Chl.a浓度的初始值为8.96 mg/m3,到2015年和2020年分别提高了32.37%和65.51%,尤其是在5月和8月的两个峰值区,小兴凯湖面临严峻的藻类水华风险;相对于TP,大、小兴凯湖Chl.a浓度随TN入湖量的变化趋势更显著.在满足Dillion模型计算的兴凯湖承载力基础上进一步加大削减力度,可以使小兴凯湖水质保持在Ⅲ类水水平,大兴凯湖保持在Ⅱ类水水平,小兴凯湖对大兴凯湖起到了缓冲带的作用,应增加Chl.a为兴凯湖富营养化控制标准,为藻类水华提供预警.
Lake Xingkai is suffering from eutrophication and frequent algae blooms.Based on the DELFT-3D model,this study established a set of parameters applicable for the Lake Xingkai ecosystem and simulated the dynamics of water quality and algae.In addition,this paper simulated the change of water quality and algae by setting different control scenarios.The results show that the concentrations of TN,TP and Chl.a rose rapidly in the small Lake Xingkai.With the initial value of 8.96 mg/m3,the Chl.a was increased by 32.37％ and 65.51％ in 2015 and 2020,respectively,which would lead to serious risk of algae bloom especially in May and August.The simulation result revealed that the concentration of Chl.a changed significantly with the amount of nitrogen input in the small Lake Xingkai.With further nutrient-cutting efforts,the water quality of the small Lake Xingkai could reach type Ⅱ water,the water of the large Lake Xingkai could reach type Ⅲ water.The small Lake Xingkai plays a role of buffer zone for the large Lake Xingkai.Chl.a should be added to the eutrophication control standards to provide early warning for algal bloom.
出处
《湖泊科学》
EI
CAS
CSCD
北大核心
2013年第6期862-871,共10页
Journal of Lake Sciences
基金
国家水体污染控制与治理科技重大专项项目(2009ZX07106-001)资助
