Xue Kun, Ma Ronghua, Zhu Guangwei, Hu Minqi, Cao Zhigang, Xiong Junfeng, Zhang Yibo, Xu Jinduo, Huang Zehui, Wu Yiqiu
Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Sci Data. 2024 Dec 18;11(1):1365. doi: 10.1038/s41597-024-04224-w.
Lake Taihu has a history of recurrent harmful cyanobacterial blooms. There is a need to better understand the aquatic ecosystem of Lake Taihu in order to improve methods for controlling the cyanobacterial blooms. Based on the field measurement and satellite remote sensing, we produced and collected a time-series dataset, including the water quality, bio-optics, climate, and anthropogenic data of Lake Taihu (THQBCA), which 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 water quality and climate data are field measured data with sampling frequency from daily to quarterly, and bio-optics and anthropogenic data are satellite-derived annual 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. This dataset is expected to advance research on evaluating and predicting cyanobacterial blooms, and support science-based management decisions for sustainable ecological development.
太湖有着蓝藻水华反复暴发的历史。为了改进控制蓝藻水华的方法，有必要更好地了解太湖的水生生态系统。基于实地测量和卫星遥感，我们生成并收集了一个时间序列数据集，包括太湖的水质、生物光学、气候和人为数据（THQBCA），该数据集可以提供有关蓝藻水华的全面信息。THQBCA数据集包含26个变量，分为四类：水质、生物光学、气候和人为数据。水质和气候数据是实地测量数据，采样频率从每日到每季度不等，生物光学和人为数据是卫星衍生的年度数据。该数据集跨越15年以上（其中8年覆盖约35年，4年覆盖20年），卫星衍生数据的空间分辨率范围为30米至500米。该数据集有望推动对蓝藻水华评估和预测的研究，并支持基于科学的可持续生态发展管理决策。
