Data analysis is the component of the monitoring process that turns collected data into useful information. Analysing water/sediment quality monitoring data improves your understanding of the system being measured and drives management actions.
Reporting is an integral part of a monitoring, evaluation and reporting process that is tied to the monitoring program objectives. Reporting is all about communication. Sharing the results of monitoring and evaluation with an audience in a meaningful way.
The installation of IoT devices for water quality monitoring involves identifying the parameters to be monitored, selecting and installing the appropriate IoT devices, configuring the devices and collecting data. The maintenance of IoT devices for water quality monitoring involves regular inspection, cleaning, calibration, battery replacement, firmware updates, data management and troubleshooting to ensure they continue to function optimally and provide reliable and accurate data on water quality parameters.
Research in water quality monitoring is crucial for ensuring the safety of our water resources and protecting human and environmental health. It helps to identify emerging contaminants, improve monitoring techniques, understand the impact of climate change, develop regulations and policies, and identify pollution sources.