Greater Everglades Hydrology Monitoring Network: Data Mining and Modeling to Separate Human and Natural Hydrologic Dynamics

The objectives of the study include: (1) integration of hydrologic analysis and synthesis with biological studies; (2) separation of water level, stream flow, and salinity time series into the natural (tidal, climate) and anthropogenic components; and, (3) identification of additional areas where application of data mining techniques can address the DOI science needs in South Florida.

本研究的目标如下：(1) 实现水文分析与综合与生物学研究的有机结合；(2) 将水位、河道径流与盐度时间序列分解为自然（潮汐、气候）组分与人为组分；(3) 识别可通过数据挖掘（data mining）技术满足南佛罗里达州DOI科学需求的额外应用领域。