基于GAM模型的洞庭湖叶绿素a浓度与环境因子相关性分析

为了解洞庭湖流域水体叶绿素a的时空分布及其与环境因子的关系,于2019年1～12月对洞庭湖进行采样调查分析,运用广义可加模型(GAM)分析了叶绿素a浓度与各环境因子间的关系.结果显示,洞庭湖水体叶绿素a浓度存在较为显著的时空分布差异,其年均值为5.77μg/L,变化范围为1.00～67.33μg/L.叶绿素a浓度变化的...

Analysis based on GAM model for the relationship between chlorophyll a concentration and environmental factors in Dongting Lake

From January to December in 2019, the samples were collected in Dongting Lake to analyze the correlation between the chlorophyll a distribution and concentration with environmental factors by using the generalized additive model (GAM). The results showed the strong temporal and spatial variations of chlorophyll a concentration appeared, annual average value was 5.77μg/L ranging from 1.00 to 67.33μg/L for the single influencing factor GAM model. The most influential factors in the variations of chlorophyll a concentration differed among seasons, with COD_Mn, Cond and TP for spring; COD_Mn, WT and Cond for summer and autumn respectively; NH₄⁺-N and Cond for winter. For the multiple influencing factors GAM model the explanation result was better with an overall rate for 97.5% for the variations in chlorophyll a concentration. The environmental factors affecting the variations in chlorophyll a concentration ranked as COD_Mn>TP>Cond>NH₄⁺-N>TN/TP, and all factors exhibited a non-linear relationship with chlorophyll a concentration.