The seasonal variation characteristics of eutrophication based on HJ-1 data and synchronous observation data on the ground were studied to provide a theoretical basis for the restoration and management of eutrophication in Dongting Lake. The remote sensing model of chlorophyll-a concentration inversion was established through the comparative analysis of the linear model, exponential model, logarithmic model and quadratic polynomial model by 38 kinds of band combinations. The average relative error was 22.81%. The RMSE of 13.71 mg/m³ was far lower than the average concentration of 34.16 mg/m³. The results showed the following. (i) From the perspective of time distribution, the eutrophication degree decreased successively in summer, autumn, spring, and winter. Dongting Lake is mainly in the state of moderate nutrition, which may be attributed to its unique hydrological conditions (short water cycle and fast flow rate). (ii) Eutrophicated water bodies are mainly distributed in the East Dongting Lake and inner lake where the water flow is relatively slow. The water bodies with pool nutrient status are mainly distributed in the outer lake areas where the water flows faster, such as West Dongting Lake.

中文翻译：

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洞庭湖富营养化年变化特征

基于HJ-1数据和地面同步观测数据，研究了富营养化的季节变化特征，为洞庭湖富营养化的恢复和管理提供了理论依据。受叶绿素的遥感模型一个是通过线性模型，指数模型，对数模型和二次多项式模型的比较分析通过38种频带组合的建立的浓度反转。平均相对误差为22.81％。RMSE为13.71 mg / m ³，远低于平均浓度34.16 mg / m ³。结果显示如下。（我从时间分布的角度来看，夏季，秋季，春季和冬季的富营养化程度依次降低。洞庭湖主要处于中等营养状态，这可能归因于其独特的水文条件（较短的水循环和快速的流量）。（ii）富营养化水体主要分布在东洞庭湖和内湖，水流相对较慢。具有池营养状态的水体主要分布在水流较快的外湖区，如西洞庭湖。