rainfall events to ensure that they
were working appropriately.
27 February 2014
Inspection was carried out during an extended period of dry weather. Earthworks
were being undertaken on-site with works on both the access track and drilling pad
underway. No metal had yet been imported to the site, however it was anticipated
that metal would be brought onto site within the next week. The first culvert on the
access track was installed earlier in the day with earthworks continuing about the
NPDC Colson Road Landfill Annual Report 2021-2022
Taranaki Regional Council Quarterly Operational Report March 2020
based mud and oily
waste were undertaken. Oil based cuttings and wastes from the Kauri-E wellsite,
located in the southeast corner of the property, were landfarmed at the site in 2004 and
2005.
The predominant soil type has been identified as black loamy sand and vegetation
growth is primarily pasture. Average annual rainfall for the site is 1043 mm (taken
from the nearby ‘Patea’ monitoring station). As with the other South Taranaki coastal
sites, the Geary site is subject to strong
coastal land situated on reworked dune
fields. The predominant soil type has been identified as black loamy sand, and
vegetation growth is primarily a mixture of pasture and dune grasses. Average annual
rainfall for the site is 1122 mm (taken from the nearby Glenn Road monitoring station).
Two significant surface water bodies run adjacent to the spreading areas. The Waimate
Stream flanks the north-western side of the main western site, whilst the Rawa Stream
runs adjacent to the north-western
access, bridge losses, silt deposition and stock and fence losses.
The focus of the strategy however was the establishment of a flood prediction and warning system to
provide warnings to the local community. An automated warning system was subsequently developed
and an additional telemetered rainfall site installed in the Ngutawera sub-catchment to assist with these
warnings.
In regard to river channel management, the Strategy recommended that arrangements be made in
assigned to each attribute band.
For lakes, modelled predictions are made at the scale of the overall lake.
Uncertainty is a component of any freshwater monitoring or modelling. For example, river flows and levels
fluctuate throughout the day, and nutrient levels will vary depending on how much rainfall and runoff is
occurring. Pathogens and algae will grow in response to a range of factors, such as temperature, light and
river flow. This uncertainty is described in terms of ‘confidence’.
segments
that are assigned to each attribute band.
For lakes, modelled predictions are made at the scale of the overall lake.
Uncertainty is a component of any freshwater monitoring or modelling. For example, river flows and levels
fluctuate throughout the day, and nutrient levels will vary depending on how much rainfall and runoff is
occurring. Pathogens and algae will grow in response to a range of factors, such as temperature, light and
river flows. This uncertainty is
fluctuate throughout the day, and nutrient levels will vary depending on how much rainfall and runoff is
occurring. Pathogens and algae will grow in response to a range of factors, such as temperature, light and
river flow. This uncertainty is described in terms of ‘confidence’. For example, how certain it is that the
actual water quality is reflected in the measurement which has been reported. Where possible, additional
assessments have been undertaken to determine a level of confidence
attribute band.
For lakes, modelled predictions are made at the scale of the overall lake.
Uncertainty is a component of any freshwater monitoring or modelling. For example, river flows and levels
fluctuate throughout the day, and nutrient levels will vary depending on how much rainfall and runoff is
occurring. Pathogens and algae will grow in response to a range of factors, such as temperature, light and
river flows. This uncertainty is described in terms of ‘confidence’. For