Data

This dataset relates to the March 2018 report National E. coli modelling - Supplementary material to support setting draft regional targets for swimmable rivers.

Scenario 1 represents the level of stock exclusion and riparian planting for the nominal year 2030
when the CWP rules have been implemented assuming that the effects of the measures have been realised and water quality has attained a new attribute state. Scenario 1 also includes the impact of regional committed work (that is, work already committed to by councils in their policy plans, or planned infrastructure investment) in regions that have committed to mitigation beyond the CWP.

The geometries are based off REC1, and the field 'Swimability_band' defines the modelled E. coli attribute state NPS-FM human health for recreation value. The rest of the fields come from the River Environment Classification.

This dataset relates to the March 2018 report National E. coli modelling - Supplementary material to support setting draft regional targets for swimmable rivers.

It represents Scenario 0, baseline (i.e. 2017) including the current level of on-farm fencing and land use - further details available in the above report.

The geometries are based off REC1, and the field 'Swimability_band' defines the modelled E. coli attribute state NPS-FM human health for recreation value. The rest of the fields come from the River Environment Classification.

This dataset includes three “packages” of information, each with multiple variables. The packages include:

1. Load – results on mean annual suspended sediment load reported by REC 2 river reach scale for various model scenario variations.
2. Lakes – results on sediment inflow, outflow, and entrapment in lakes and reservoirs
3. Coastal – results on sediment inflows, trap efficiency, and sedimentation rates in coastal hydrosystems (estuaries)

For further detail on the modelling methods and discussing results, see Hicks, M., Semademi-Davies, A., Haddadchi, A., Shankar, U., Plew, D. (2019) Updated sediment load estimator for New Zealand. NIWA Client Report No. 2018341CH, prepared for Ministry for the Environment. January 2019. Available online: environment.govt.nz/publications/updated-sediment-...

Note that some portions of this dataset refine and update 2011 modelling on suspended sediment loads across New Zealand, whereas other components, especially the coastal package, report new modelling results.

State of the Environment (SOE) swimming water quality monitoring point data.

This data is a component of the Water Quality for swimming maps: www.mfe.govt.nz/fresh-water/state-of-our-fresh-wat...

Versions

This version has now been replaced with a later edition: data.mfe.govt.nz/layer/95566-swimming-water-qualit...

Column headings

WKT: Point geometry

sitename: Name of site

NZReach: ID of nearest River Environment Classification reach

category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/national-targets-swimm...

Region: Region

name: Name of water body (if available)

catchment: Name of catchment (if available)

Dualcatch: Is catchment a two-part catchment

algae: Algae status

clarity: Clarity status

State of the Environment (SOE) swimming water quality monitoring point data.

This data is a component of the Water Quality for swimming maps: www.mfe.govt.nz/fresh-water/state-of-our-fresh-wat...

Versions

This version is the latest edition in the set.

Column headings

WKT: Point geometry

sitename: Name of site

NZReach: ID of nearest River Environment Classification reach

category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/national-targets-swimm...

Region: Region

name: Name of water body (if available)

catchment: Name of catchment (if available)

Dualcatch: Is catchment a two-part catchment

algae: Algae status

clarity: Clarity status

Suitability for Recreation Grade (SFRG) swimming water quality monitoring point data.

This data is a component of the Water Quality for swimming maps: www.mfe.govt.nz/fresh-water/state-of-our-fresh-wat...

Versions

This version has now been replaced with a later edition: data.mfe.govt.nz/layer/95564-swimming-water-qualit...

Column headings

WKT: Point geometry

NZReach: ID of nearest River Environment Classification reach

category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/national-targets-swimm...

Council_na: Regional council name

Region: Region

sitename: Name of site

LAWA_siten: Land, Air, Water, Aotearoa's name of site

Program_ty: Type of waterbody

catchment: Name of catchment (if available)

algae: Algae status

clarity: Clarity status

Suitability for Recreation Grade (SFRG) swimming water quality monitoring point data.

This data is a component of the Water Quality for swimming maps: www.mfe.govt.nz/fresh-water/state-of-our-fresh-wat...

Versions

This version is the latest edition in this set.

Column headings

WKT: Point geometry

NZReach: ID of nearest River Environment Classification reach

category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/national-targets-swimm...

Council_na: Regional council name

Region: Region

sitename: Name of site

LAWA_siten: Land, Air, Water, Aotearoa's name of site

Program_ty: Type of waterbody

catchment: Name of catchment (if available)

algae: Algae status

clarity: Clarity status

Full report: Memorandum on implementing a national index for susceptibility to streambank erosion: environment.govt.nz/publications/national-index-st...

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This dataset contains predictions of the susceptibility to streambank erosion for every stream link in the RECv2.5 digital river network. Streambank erosion susceptibility is computed as a dimensionless index (range 0-100) for each stream link based on factors that may influence reach-scale bank erosion. These factors comprise stream power, the extent of riparian woody vegetation, valley confinement, channel sinuosity, and the erodibility of stream banks based on soil texture. The approach for determining streambank erosion susceptibility is described by Smith & Betts (2021) and based on the bank erosion model developed by Smith et al. (2019).

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***Smith HG, Spiekermann R, Dymond J, Basher L 2019. Predicting spatial patterns in riverbank erosion for catchment sediment budgets. New Zealand Journal of Marine and Freshwater Management 53: 338–362.

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***Smith HG, Betts H 2021. Memorandum on implementing a national index for susceptibility to streambank erosion. Technical memorandum prepared for the Ministry for the Environment by Manaaki Whenua – Landcare Research.