Monitoring for Compliance – a breadth of expertise
Leppitt Associates have more than 40 years combined experience of Environmental Monitoring.
Monitoring may be required to:
establish background data prior to the development of a new waste facility
as part of a contaminated land survey where development is proposed
as evidence of compliance prior to surrendering an environmental permit
in fulfilment of planning conditions, e.g. to validate ecological mitigation or permit continued use of land for a specific activity (such as in situ biological treatment)
What do we Monitor?
Monitoring can be at any scale. We have the skills and experience to tackle large, complex sites (e.g. municipal landfill) as well as targeted data for sole traders with specific planning or permitting conditions:
Waste Facilities & other Developments
Landfill Gas – perimeter boreholes, flux box surveys and walk over surveys
Ground/Surface Water – boreholes, and surface water bodies
Landfill Leachate – boreholes, treatment plants, outfalls etc.
Dust – frisbee collection and personal exposure monitoring
Noise – environmental and personal exposure
monitoring for conservation objectives (e.g. response to burning and/or grazing) including condition assessment for upland vegetation
monitoring vegetation response to e.g. landfill leachate irrigation and stack emissions
design and implementation of monitoring for ecological mitigation
higher plants and bryophytes
Design & Analysis
We design bespoke monitoring programmes and provide documentation suitable for:
Regular data submission to the Environment Agency for permit conditions
Environmental procedures for compliance with ISO14001
Statistical rigour is the foundation for our design; we have a proven track record of providing quality data and implementing appropriate analysis suitable for scrutiny by the Environment Agency or to peer-review standard.
design of appropriate databases for long term storage of monitoring data
integral graphical representation of trends
statistical data analysis for rigorous hypothesis testing
multivariate analysis for complex multi-attribute scenarios