Controlling lake water pollution is taking steps to avoid and lessen contamination in lakes. This include handling sewage before it is released, controlling industrial discharges, controlling nutrients and stormwater runoff, preserving and restoring wetlands, setting up buffer zones, raising public awareness, carrying out monitoring and research, and encouraging cooperation among stakeholders. These steps are being taken to maintain the lake's water quality, safeguard its ecosystems, and assure the welfare of its users.
Our project uses three sensors, an open-source microcontroller platform called Arduino, and Arduino to track and manage lake water pollution. A turbidity sensor, which evaluates water clarity by looking for suspended particles, is the first sensor. This assists us in determining the quantity of contaminants in the lake.
The second sensor detects the temperature of the water and is a temperature sensor. Monitoring this parameter is essential since temperature changes might have an influence on the lake environment and the solubility of contaminants.
An ultrasonic sensor, the third sensor with buzzer.As a result, we can keep track of unwanted rubbish and identify any unusual swings that would point to excessive rubbish in water
We can analyse and comprehend the lake water quality by collecting data from these sensors. The right activities for pollution control may be started using this knowledge. For instance, if the turbidity sensor detects excessive concentrations of suspended particles, this may be a sign of pollution, which would require further investigation and remedial action on our side.
To track and manage lake water contamination, we've combined an ESP8266 WiFi module with Arduino and the three sensors (temperature, turbidity, and ultrasonic). The wireless connectivity and communication between the Arduino and a graphical user interface (GUI) are made possible by the ESP8266 module.
We can instantly transfer the sensor data to a computer or mobile device using the WiFi module. This information may be visualised and analysed using a GUI, which offers a user-friendly interface. The turbidity sensor, temperature sensor, and ultrasonic sensor measurements can all be shown via the GUI as numerical numbers or in a graphical manner.
Users may quickly check the factors affecting the water quality from any place within WiFi range thanks to this GUI. This enables real-time decision-making on pollution management strategies as well as remote monitoring. For instance, the GUI may quickly inform the user in the case of a pollution event if the turbidity levels surge, allowing for quick examination and intervention.