Methodology of health and waste disposal
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. Key people may include those with responsibilities for:
Solid waste management planning (policy)Solid waste operations (contract management)Issuing consents under Regional or District Plans (planners)Undertaking RMA enforcement including for consented (Regional or District Plans) and
Tonnages were derived in these cases by multiplying the volume in m3 by the following conversion factors derived from USEPA, 1997. These are:
Greenwaste - 0.15 t/m3Food scraps, solid and liquid fats - 0.389 t/m3Wood chips/bark - 0.2167 t/m3Compacted grass (e.g. paunch grass) – 0.1907 t/m3 .
Areas that warrant further analysis and/or exploration include:
Spatial analysis – location and scale of sites around New Zealand;Linking the data on disposal sites with Landfill Census data i.e. providing a full picture of disposal sites around New Zealand;Looking at alternative drivers of waste generation as a method for extrapolating data to regions where detailed quantity data is not available – building activity, regional GDP, …;Comparing landfill and cleanfill rules across New Zealand;Analysis of scale and number of non-MSW landfills correlated with waste management policy and infrastructure (including price structures)
Solid waste management planning (policy)Solid waste operations (contract management)Issuing consents under Regional or District Plans (planners)Undertaking RMA enforcement including for consented (Regional or District Plans) and
Tonnages were derived in these cases by multiplying the volume in m3 by the following conversion factors derived from USEPA, 1997. These are:
Greenwaste - 0.15 t/m3Food scraps, solid and liquid fats - 0.389 t/m3Wood chips/bark - 0.2167 t/m3Compacted grass (e.g. paunch grass) – 0.1907 t/m3 .
Areas that warrant further analysis and/or exploration include:
Spatial analysis – location and scale of sites around New Zealand;Linking the data on disposal sites with Landfill Census data i.e. providing a full picture of disposal sites around New Zealand;Looking at alternative drivers of waste generation as a method for extrapolating data to regions where detailed quantity data is not available – building activity, regional GDP, …;Comparing landfill and cleanfill rules across New Zealand;Analysis of scale and number of non-MSW landfills correlated with waste management policy and infrastructure (including price structures)
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