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中文摘要：
藻蓝蛋白色素（phycocyanin,PC）存在于蓝藻中,由于这种色素在620 nm处有较强的吸收,可以用来作为检测蓝藻含量的指标.利用2009年9月19～20日在滇池实地采样获得的实测光谱数据和水质参数数据,结合前人提出的半分析嵌套模型,建立了适用于滇池的藻蓝蛋白色素浓度反演的半分析模型;建立了620 nm波长处的藻蓝蛋白比吸收系数[aP＊C（620）]和620nm波段的藻蓝蛋白色素吸收系数[aPC（620）]之间的经验关系,降低了Simis模型中620 nm处藻蓝蛋白色素比吸收系数易变性的影响.利用2009年12月1日的实测光谱数据和水质参数数据对本研究建立的半分析模型进行验证,结果表明本研究提出的半分析算法能较好地反演滇池藻蓝蛋白色素的浓度,藻蓝蛋白浓度反演值的平均相对误差为21.63%;对模型误差进行分析后发现,由于季节差异导致的不同生长期的蓝藻细胞内色素浓度和组分的变化是造成误差的主要原因.
英文摘要：
Phycocyanin（PC） in the blue-green algae is usually used to detective the quantity of the blue-green algae,because of its special absorption at band 620 nm.A semi-analytical model retrieving phycocyanin concentrations is been built,based on a nested semi-empirical band ratio algorithm,using the data sets collected in September 19 and September 20,2009 from Dianchi Lake.The empirical relationship between the specific absorption coefficient at band 620 nm [aP＊C（620）]and the absorption coefficient at band 620 nm [aPC（620）]reduces the impact of the variability of aP＊C（620） in the model built by Simis.The new semi-analytical model is proved well done in retrieving phycocyanin concentrations and has a mean relative error（MRE） 21.63% by the dataset collected on December 1,2009 from Dianchi Lake.The model error analysis prove that the main reason of the error is caused by the component and concentrations of pigments changing seasonally in the blue-green algae.
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