The system’s embodied emissions cancel out its operational savings, making the investment break-even

The system produces a clear net benefit: it enables a saving of 22,500 kilograms CO₂ while its own operational and embodied footprint totals approximately 1,340 kilograms CO₂ (540 operational plus 800 embodied), a ratio of roughly 17 to 1

The net benefit cannot be determined without knowing the sensor manufacturer’s country of origin

The monitoring system produces no net benefit because it consumes energy and has embodied emissions

The edge node improves the accuracy of sensor readings by applying calibration corrections locally

The edge node reduces the purchase cost of sensors by handling part of the measurement process

If the internet connection to the cloud fails, the edge node continues performing threshold checks and issuing local alerts, maintaining monitoring capability during the outage

The edge node encrypts data before transmission, improving security compared to cloud-only processing

Continuous monitoring stores data in a more efficient database format, making historical analysis faster

Continuous monitoring costs less per reading than manual sampling, allowing more data to be collected

Continuous monitoring records conditions at every moment, capturing transient events that occur and resolve between manual sampling visits

Continuous monitoring uses more sensitive sensor technology than laboratory analysis of manual samples

The 15-minute interval sensor uses a different, more efficient wireless protocol than the 10-second interval sensor

Longer reporting intervals allow the sensor to enter a lower-voltage operating mode that draws less current from the battery

The dominant power consumer in a wireless sensor is the radio transmission, not the measurement itself; reducing transmission frequency from 8,640 to 96 times per day eliminates the vast majority of radio energy consumption

The sensor’s measurement circuitry consumes most of the power, and fewer measurements extend battery life proportionally

Lower-cost sensors are required by environmental regulations as a supplement to reference stations

Lower-cost sensors are easier to connect to cloud platforms than reference-grade instruments

Lower-cost sensors consume less electricity, reducing the network’s overall carbon footprint

The 200 lower-cost sensors fill spatial gaps between the 8 reference stations, revealing how pollution varies across the city at a fraction of the cost of deploying 200 reference stations

The brand of cloud platform used for data storage

The operating system installed on the gateway device

The colour and size of the sensor housing

The distance between sensors and gateways, combined with whether the sensors are battery-powered or mains-powered

It reduces data volume to manageable levels and smooths out short-term noise to reveal underlying conditions

It converts raw readings into regulatory compliance reports and archives original data

It encrypts sensor data for secure transmission and validates sensor calibration

It increases the accuracy of individual readings and creates backup copies of the data

Environmental regulations prohibit sensors from using cellular frequencies

Direct cellular connections would require each sensor to have a cellular radio, significantly increasing power consumption and reducing battery life

Cellular networks do not support environmental data transmission formats

Short-range protocols transmit data faster than cellular connections

The combination eliminates the need for data cleaning because satellite data is already validated

Satellite data covers large geographic areas while ground sensors provide accurate calibration points at specific locations, producing more reliable results than either source independently

Satellite data replaces the need for ground sensors entirely, reducing hardware costs

Ground sensors provide global coverage while satellites provide accuracy at individual measurement points

It receives raw readings, removes invalid entries, normalises timestamps, and stores cleaned records for analysis

It compares aggregated values against regulatory thresholds and triggers notifications

It measures physical parameters such as temperature, gas concentration, and water pH

It generates alerts and compliance reports for regulators and operators