https://newsletter.en.creamermedia.com
Environment|Mining|Sensors|Technology|Water|Environmental
Environment|Mining|Sensors|Technology|Water|Environmental
environment|mining|sensors|technology|water|environmental

How Technology Is Improving Environmental Compliance Monitoring

11th July 2023

     

Font size: - +

This article has been supplied.

(Virtual Showroom): All of us want to live in a world where the environment is free of pollution and to protect it for future generations. One method to detect and prevent pollution is through environmental compliance monitoring to ensure conformity with environmental laws and regulations.

In recent years, environmental compliance monitoring has been revolutionized by technology. With increasing concerns around climate change and environmental degradation, there has been a growing need for more efficient, accurate, and comprehensive monitoring of environmental compliance. Here are a few ways in which technology is improving environmental compliance monitoring:

Remote Sensing: The use of remote sensing technology is becoming increasingly common in environmental monitoring. This technology uses satellite images, drones, and other aerial platforms to collect data about the environment. Remote sensing helps monitor protected areas (nature reserves, biodiversity conservation areas and ecological functional regions), rural and urban areas, and mining areas. This data is used to track changes in land use, vegetation cover, and other environmental factors that are critical for monitoring compliance with environmental regulations.

IoT Devices: Internet of Things (IoT) devices, such as sensors and smart meters, are used to collect real-time data on environmental conditions such as temperature, humidity, water quality and air quality. These devices are capable of monitoring methane in agriculture, detecting pollutants and toxic particles in air quality monitoring, and measure oxygen levels, pH and contaminants in water monitoring. This data is used to monitor compliance with environmental regulations and to identify areas where corrective action is needed.

Machine learning: Machine learning algorithms are used to analyse large amounts of data collected from various sources. These algorithms identify patterns and anomalies in the data, which is used to predict contamination, detect environmental violations and to predict future compliance issues.

Edited by Creamer Media Reporter

Comments

Showroom

SAIMC (Society for Automation, Instrumentation, Mechatronics and Control)
SAIMC (Society for Automation, Instrumentation, Mechatronics and Control)

Education: Consulting with member companies to obtain the optimal benefits from their B-BBEE spending, skills resources as well as B-BBEE points

VISIT SHOWROOM 
SABAT
SABAT

From batteries for boats and jet skis, to batteries for cars and quad bikes, SABAT Batteries has positioned itself as the lifestyle battery of...

VISIT SHOWROOM 

Latest Multimedia

sponsored by

Photo of Martin Creamer
On-The-Air (29/11/2024)
29th November 2024 By: Martin Creamer

Option 1 (equivalent of R125 a month):

Receive a weekly copy of Creamer Media's Engineering News & Mining Weekly magazine
(print copy for those in South Africa and e-magazine for those outside of South Africa)
Receive daily email newsletters
Access to full search results
Access archive of magazine back copies
Access to Projects in Progress
Access to ONE Research Report of your choice in PDF format

Option 2 (equivalent of R375 a month):

All benefits from Option 1
PLUS
Access to Creamer Media's Research Channel Africa for ALL Research Reports, in PDF format, on various industrial and mining sectors including Electricity; Water; Energy Transition; Hydrogen; Roads, Rail and Ports; Coal; Gold; Platinum; Battery Metals; etc.

Already a subscriber?

Forgotten your password?

MAGAZINE & ONLINE

SUBSCRIBE

RESEARCH CHANNEL AFRICA

SUBSCRIBE

CORPORATE PACKAGES

CLICK FOR A QUOTATION







sq:0.295 0.383s - 195pq - 2rq
Subscribe Now