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机构地区:[1]北京大学环境科学与工程学院,北京100871
出 处:《生态学报》2012年第1期56-63,共8页Acta Ecologica Sinica
基 金:国家水体污染控制与治理科技重大专项(2008ZX07102-001)
摘 要:气象条件和营养盐浓度一直被认为是导致蓝藻水华爆发的两个重要因素。通过滇池外海Chla浓度时空分异性分析,得出晖湾中测点最易爆发蓝藻水华且爆发时间集中在每年6—9月。同时,采用基于缺失数据多重插补的EMB算法将气象条件和蓝藻水华爆发的不完全数据集进行反演,建立了滇池外海2004—2008年4—10月完整的气象、营养盐及蓝藻爆发的基础数据集,解决了表观蓝藻水华爆发研究中观测数据缺失的问题。据此,探讨了滇池外海晖湾中测点Chla、TN和TP与蓝藻水华爆发关系,进而提出了控制滇池外海蓝藻水华的一种新思路。Eutrophication in lakes or reservoirs can lead to blue-green algae(BGA) bloom that is detrimental to the aquatic ecosystems and often pose a potentially serious health threat to people having access to the impaired waters.Since 1990s,Lake Dianchi has been experiencing BGA bloom almost on an annual basis,raising ever increasing levels of concerns from the public and governments.To control the eutrophication and reduce the outbreak frequency of BGA bloom in Lake Dianchi,it is necessary to identify the responsive relationship between the BGA bloom and the influencing factors including nutrient loadings,weather conditions,among others.However,to fulfill this task is very difficult in practice since there exist no,and it is impossible to obtain,a complete dataset that simultaneously covers the occurrence of BGA bloom and the influencing factors due to the transient and heterogeneous nature of the Lake Dianchi system.Even though the remote sensing technology offers a cost-effective way to acquire data about the occurrence of BGA bloom,it still far from sufficient to provide a complete dataset due to the data gap from lack of observations or interruption by clouds. To overcome the data limitation in deriving reliable relationship between BGA blooms and the main influencing factors,this study applied a robust EMB algorithm to reconstruct a complete dataset from the available dataset with missing data,hence forming a basis for quantitatively relating the BGA bloom to its contributing factors.The analysis starts with discovering the general trend of BGA bloom in Lake Dianch through using boxplots of chlorophyll-a data in the lake,which shows that the area represented by monitoring station Huiwanzhong appears to be the most likely place for BGA bloom.As for temporal trend,it was found that the chlorophyll-a concentration doesn′t have as much variability inter-annually as intra-annually.In general,chlorophyll-a concentrations increase from February to August,and then decrease thereafter until the next February.Subseque
分 类 号:X524[环境科学与工程—环境工程]
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