南黄海透明度的时空分异特征及影响因素分析

水体透明度（Z_sd）是评价水质状况的重要光学参数。本文针对南黄海海域，面向MODIS传感器校正了Z_sd遥感反演模型，进而利用MODIS近20年（2002–2020年）数据分析了南黄海Z_sd的时空变化特征及其驱动力，结果显示：建立的Z_sd反演模型具有良好的精度（决定系数为0.91，均方根误差为1.69 m，平均相对误差绝对值为25.1%）；南黄海Z_sd在空间上呈现外海高近岸低的特点、在时间上呈现冬低夏高的季节变化特征，近20年来南黄海中部、南黄海南部、长江口的Z_sd均在缓慢增加，而江苏近岸的Z_sd呈现出缓慢降低趋势；Z_sd受悬浮颗粒物浓度的负向驱动，其影响最大；此外，海表温度和光照强度对Z_sd都呈正向驱动，而风速呈负向驱动。

Spatiotemporal characteristics and driving factors of water transparency in the South Yellow Sea

Water transparency (Z_sd) is an important optical parameter for evaluating water quality. This paper tuned a remote sensing model for estimating Z_sd from MODIS (moderate resolution imaging spectroradiometer) data in the South Yellow Sea. This model was then used to analyze the spatial and temporal variations of Z_sd in the South Yellow Sea based long-term MODIS data in the past 20 years (2002–2020), and their driving factors were examined. The results show that the Z_sd estimation model has good accuracy with R2, root mean square error and mean absolute percent error values of 0.91, 1.69 m and 25.1%, respectively. The Z_sd levels are generally high in the offshore but low in the coastal area. Meanwhile, Z_sd indicates high values in summer but low values in winter. In the past 20 years, Z_sd in the central South Yellow Sea, the southern South Yellow Sea and the Changjiang River Estuary showed slowly increase trends, while Z_sd in the Jiangsu coast was decreasing slowly. In general, the Z_sd is negatively driven by the concentration of suspended particulate matter, of which the influence is the greatest. In addition, sea surface temperature and solar radiation have positive driving effects on Z_sd, while wind speed has negative driving effect.