A Conceptual Software Framework to Monitor Harmful Algal Blooms (HABs) in Lakes

The impact of the spread of Harmful Algal Blooms (HABs) in water bodies has affected fisheries, public health, and tourism. This necessitates the need for an effective watershed monitoring framework for HABs in lakes. Several factors play a role in the formation of HABs and thus require careful evaluation of real-time data. Currently, many of such data are stored as silos on different databases in different monitoring platforms. This paper focuses on developing a conceptual framework by unifying multi-source data for monitoring HABs in lakes. The framework was designed to focus on ensuring availability as the quality attribute. Based on the logical view representation of the framework, availability was guaranteed through the concept of sensing.