湖泊藻类数据

提供流域全面藻类数据，包括总浓度、剖面蓝藻、剖面绿藻、剖面硅甲藻、剖面隐藻、黄色物质、剖面溶解氧等21项监测指标。提供精准可靠的环境数据，支持农业、水资源管理、水产养殖等领域的决策。产品以高度自动化、实时性和准确性为核心价值，适用于农田水产、生态价值评估、环境科研、水质监测等多个应用场景。This dataset provides comprehensive algal data for river basins, including 21 monitoring indicators such as total concentration, depth-profile cyanobacteria, depth-profile green algae, depth-profile dinoflagellates, depth-profile cryptophytes, colored dissolved organic matter (CDOM, i.e., yellow substance), and depth-profile dissolved oxygen. It delivers accurate and reliable environmental data to support decision-making in sectors such as agriculture, water resource management and aquaculture. With high automation, real-time performance and accuracy as its core values, this dataset is applicable to multiple application scenarios including farmland aquaculture, ecological value assessment, environmental research and water quality monitoring.

搜集汇总

背景与挑战

背景概述

湖泊藻类数据集提供了天目湖流域的全面藻类数据，包括21项监测指标，如总浓度、剖面蓝藻、剖面绿藻等，适用于农业、水资源管理、水产养殖等多个领域。该数据集以高度自动化、实时性和准确性为核心价值，覆盖现代农业、应急管理、绿色低碳等应用场景。