Published Paper Details:

Harmful algal blooms (HABs) are an emerging serious environmental issue but that act as the most appropriate indicator for propollution activities. Reason for the concern is mostly due to variety of toxins made by Cynobacterial species present in bloom, and formation of bloom is due to high concentration of P, N and other micronutrition. . Besides human health hazards cyanobacteria also pose economic hazard in terms of cell fish poisoning and also disturb ecosystem balance. Formation of HABs is dependent on variety of abiotic factors. High phosphorus availability is a defining and limiting factor that controls bloom formation. Many global studies have linked nutrient loading with bloom formation. Each HAB event has some regional specificity that is to be studied in detail in order to forecast and manage HAB. HAB forecasting can be a good way to predict and thus control factors that contribute to the formation of HAB. There are studies where forecasting tools have successfully helped in managing phosphorus and in turn HAB. Many studies have used remote sensing as a tool to create a monitoring and forecasting model. Remote sensing based analysis of Normalized Difference Vegetation Index (NDVI) is a good way to monitor and predict bloom formation.