Daily climate change has an impact on all aspects of human life. The effects of climate change include acid rain, torrential rain, rising sea levels, and flooding. To acquire pollution data and accurately evaluate local monitoring data, related studies offer ways that involve very cheap equipment networking. Precautions must be taken to reduce these consequences, and one of those precautions is to feel and track environmental variables including temperature, relative humidity, air quality, and rainfall in remote as well as urban areas. The design of the monitoring system included designing of wireless sensor network by using a LoRa Technologies module for the collection of data regarding environmental parameters. As part of this prototype, the microcontroller is paired with temp., humidity, and rainfall sensors so that they may act as sensor nodes. These sensor nodes are responsible for transmitting significant data over long distances at low data rates while using as little power as possible. The experimental results show that by using LoRa modules we can monitor the parameters with high accuracy and at longer distances. This prototype was tested for three different months to collect the data. Meanwhile, we demonstrate that the transport sector is mostly responsible for the city's air pollution by carefully examining the particular situation mostly during daily peak hours and festival season. We conclude that employing weather quality monitoring and forecasting to control traffic conditions during the peak hours and festival season, will significantly contribute to the protection of cities' atmospheric environments.