Virtually all 'potentially polluting'  operations are required to monitor their environment, and to manage their compliance to permits and regulations.Typical types of monitoring are Ground and Surface Water, Leachate, Discharges, Gas, Air, Dust, Noise and Weather.

It is essential that data is secure and auditable, that quality and compliance are rigorously checked, and that key people are alerted immediately if problems arise. Regulatory reports must be generated and sent on time.

MP-5 does all of this and more. is used around the world to manage environmental, health and safety compliance in the mining industry, at landfills, quarries and other industries.

The systems aim to take the legwork our of managing compliance through notification of breaches by e-mail and automated import and quality checking of data and multilingual report production

Compliance means understanding company performance compared to internal or external targets. These could have a bearing on corporate reputation, relationship with regulators and other stakeholders and health and safety of employees. Targets could include for example:

• Targets derived from environmental permits to operate;
• Targets derived from an internal process of continuous improvement;
• Targets derived from a Sustainability or Corporate Social Responsibility (CSR) process and
• Targets related to health and safety data (heavy metal blood concentrations related to heavy metal contamination of airbourne dust.

MP-5 is a completely flexible data management system able to manage all your numerical EHS Data. Users can:

• set any number of compliance targets for any monitoring data set (e.g. concentrations for any variable in groundwater).
• Set targets for any variable calculated in the system (e.g. metal loading to receiving water course calculated from concentration and flow)
• Set targets for any KPI in a sustainability process (e.g. CO2 produced per tonne of product expressed per site, business unit or corporately. These data automatically calculated from data on electricity use (Kwh), diesel used (litre) for example
• Firm target levels set and warning levels (e.g. 80% of target) to forewarn and breeches are being approached
• Modifications of targets over time with integrity being retained
• Targets created based on previous performance to show improvement (e.g. average plus 2 standard deviations over last three years for any historically managed data set)

Breaches are notified to users via e-mail following automated import, graphs and tables and multilingual reports.