A comprehensive natural-human time-series dataset linked to cyanobacterial blooms in Lake Taihu

Lake Taihu has a history of recurrent harmful cyanobacterial blooms under the pressures of climate change and human activities. Despite efforts to limit nutrient loading, there is a need to better understand the water environment of Lake Taihu in order to improve methods for controlling the cyanobacterial blooms. The spatial and temporal characteristics of the water quality, bio-optical parameters, climate, and anthropogenic data of Lake Taihu (THQBCA) could provide comprehensive information regarding cyanobacterial blooms. The THQBCA dataset contains 26 variables organized into four categories: water quality, bio-optics, climate, and anthropogenic data. The dataset spans more than 15 years (8 of which cover approximately 35 years, 4 of which cover 20 years), and the spatial resolutions of the satellite-derived data range from 30 m to 500 m. The THQBCA dataset is expected to advance research on forecasting and early warning of cyanobacterial blooms, and to support science-based management decisions for sustainable ecological development.太湖在气候变化与人类活动的双重压力下，长期遭受周期性有害蓝藻水华的侵扰。尽管已采取措施限制营养盐负荷，但仍需进一步深入解析太湖水环境，以优化蓝藻水华防控手段。太湖水质、生物光学参数、气候及人为活动数据集（THQBCA）的时空特征，可为蓝藻水华相关研究提供全面信息支撑。该数据集共包含26个变量，划分为水质、生物光学、气候及人为活动四大类别。数据集时间跨度超15年，其中8个子数据集的覆盖时长约35年，4个子数据集的覆盖时长为20年；卫星衍生数据的空间分辨率介于30米至500米之间。THQBCA数据集有望推动蓝藻水华预测与预警相关研究，并为可持续生态发展的科学管理决策提供支撑。