River Water Quality for Swimming Categories, December 2017 [Superseded]

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

227
5
Added
27 Jun 2018

This dataset was first added to MfE Data Service on 27 Jun 2018.

Summary

Water quality for swimming categories for rivers 4th order and above. This dataset was used to compose the current state for water quality for swimming.

Note this data is under review and will be updated in due course. This information is based on modelled and measured data using the approach outlined at www.mfe.govt.nz/fresh-water/freshwater-management-... .

The modelling methods used are outlined in Snelder et al. (2016) Strategic assessment of New Zealand’s freshwaters for recreational use: a human health perspective. LWP Client Report 2016-011 www.mfe.govt.nz/publications/fresh-water/strategic...

Versions

This dataset is the geometric version of this: data.mfe.govt.nz/table/53620-river-water-quality-f...

This dataset has now been superseded due to consultation with local authorities, and this is the latest version: data.mfe.govt.nz/layer/95555-river-water-quality-f...

Column headings:

NZREACH: NZREACH from the River Environment Classification Version 1

ORDER: Strahler stream order

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

Note: blank cells are reaches where a prediction was not possible because of missing predictor variables.

Layer ID 95557
Data type Vector linestring
Feature count 66734
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

River Water Quality for Swimming Categories [Raw Model Output]

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

666
30
Added
27 Jun 2018

This dataset was first added to MfE Data Service on 27 Jun 2018.

Summary

Water quality for swimming categories for rivers 4th order and above. This dataset was used to compose the current state for water quality for swimming.

Note this data is under review and will be updated in due course. This information is based on modelled and measured data using the approach outlined at www.mfe.govt.nz/fresh-water/freshwater-management-... .

The modelling methods used are outlined in Snelder et al. (2016) Strategic assessment of New Zealand’s freshwaters for recreational use: a human health perspective. LWP Client Report 2016-011 www.mfe.govt.nz/publications/fresh-water/strategic...

Versions

This dataset is the geometric version of this: data.mfe.govt.nz/table/53620-river-water-quality-f...

This dataset has now been superseded due to consultation with local authorities, and this is the latest version: data.mfe.govt.nz/layer/95555-river-water-quality-f...

Column headings:

NZREACH: NZREACH from the River Environment Classification Version 1

ORDER: Strahler stream order

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

PrGT540: percentage of samples that exceeded 540 E.coli per 100mL

PrGT260: percentage of samples that exceeded 260 E.coli per 100mL

Median: median E.coli per 100mL

Q95: 95th percentile E.coli per 100mL

Note: blank cells are reaches where a prediction was not possible because of missing predictor variables.

Layer ID 95562
Data type Vector linestring
Feature count 570577
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

River Water Quality for Swimming Categories

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1340
37
Updated
10 Aug 2017

This dataset was last updated on MfE Data Service on 10 Aug 2017.

Water quality for swimming categories for rivers 4th order and above. This dataset was used to compose the current state for water quality for swimming.

Note this data is under review and will be updated in due course. This information is based on modelled and measured data using the approach outlined at www.mfe.govt.nz/fresh-water/freshwater-management-... . The modelling methods used are outlined in Snelder et al. (2016) Strategic assessment of New Zealand’s freshwaters for recreational use: a human health perspective. LWP Client Report 2016-011 www.mfe.govt.nz/publications/fresh-water/strategic...

Column headings:

NZREACH: NZREACH from the River Environment Classification Version 1

Segment_length(m): reach length in metres

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

Note blank cells are reaches where a prediction was not possible because of missing predictor variables.

Regional_council: Regional council

Table ID 53620
Data type Table
Row count 66838
Services Web Feature Service (WFS), Catalog Service (CS-W)

Predicted reference and current streambed deposited fine sediment 2017

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

171
10
Added
13 Aug 2019

This dataset was first added to MfE Data Service on 13 Aug 2019.

This dataset reports modelled reference and current state of streambed deposited fine sediment at the REC1 stream segment scale. It provides predicted reference state from a boosted regression tree model trained on 1.) reference site data defined by land cover rules, 2.) all available deposited sediment. It also shows predicted current state trained on all available deposited sediment data.

See Clapcott & Goodwin (2017) for further information on the relevant model rules and data inputs.

Table ID 103685
Data type Table
Row count 576273
Services Web Feature Service (WFS), Catalog Service (CS-W)

Predicted lake water quality, 2009-13

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

625
23
Added
24 Jun 2018

This dataset was first added to MfE Data Service on 24 Jun 2018.

This dataset is a result of Random Forest modelling to predict cyanobacterial biovolume in lakes nationally, which included spatial modelling of chlorophyll a, TN, TP, Secchi depth, Trophic Level Index, and Cyanobacterial biovolume.


More information about the methods used to create this dataset can be found here: www.mfe.govt.nz/publications/fresh-water/strategic...


LID - FENZ Lake ID

Name - Name of lake (where available)

RegionalCo - Regional council name

CHLA - Chlorophyll a (mg/L)

TN - Total nitrogen (mg/m3)

TP - Total phosphorus (mg/m3)

SECCHI - Secchi disc depth (m)

TLI3 - Trophic Level Index (unitless)

CyanoBioVo - Cyanobacterial biovolume (mm3/L)


Layer ID 95541
Data type Vector multipolygon
Feature count 3819
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Option 3 for reducing nitrogen loss

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

123
9
Added
20 Sep 2019

This dataset was first added to MfE Data Service on 20 Sep 2019.

This dataset shows land that would be covered by the option 3 of section 8.4 Immediate action to reduce nitrogen loss.

This dataset has been developed by the Ministry for the Environment to support policy proposals in the Action for Healthy Waterways discussion document.  These proposals are currently being consulted on.

The map provides extra detail on Option 3 in section 8.4: Immediate action to reduce nitrogen loss, of the discussion document.  The map indicates the high-nitrate catchments and sub-catchments that could be included under Option 3. These catchments have the highest 10% of nitrate levels in the MfE Environmental Reporting River Water Quality dataset which can be found here.  The catchments are further restricted to regions that do not have rules already in place or proposed. Catchments where the predominant sources of nitrate are not pastoral or horticultural in origin have been excluded.

Under this option, farmers in these catchments would have to show, in the freshwater module in their farm plan, how they will rapidly reduce nutrient leaching. Progress against the plan would be monitored by independent auditors and the regional council could take enforcement action if required.

This is only one of the options being consulted on. The areas indicated are provisional and may not equate to areas included in a regulation.

Layer ID 103879
Data type Vector polygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Option 1 for reducing nitrogen loss

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

217
8
Added
20 Sep 2019

This dataset was first added to MfE Data Service on 20 Sep 2019.

This dataset shows land that would be covered by the option 1 of section 8.4 Immediate action to reduce nitrogen loss.

This web map has been developed by the Ministry for the Environment to support policy proposals in the Action for Healthy Waterways discussion document. The proposals are currently being consulted on.

It provides extra detail on Option 1 in section 8.4 of the discussion document (Immediate action to reduce nitrogen loss). The map indicates the pastoral catchments and sub-catchments specified as high-nitrate in Option 1, where regional rules are not already in place or proposed, and shows the land considered to be low-slope.

Low-slope is defined in this option as land parcels with an average slope of less than 5, 7 or 10 degrees. We are seeking feedback on the appropriate slope threshold to use.

The catchments are those with the highest 10% of nitrate levels in the MfE Environmental Reporting River Water Quality dataset found here. Catchments where the predominant sources of nitrate are non-pastoral in origin are excluded.

Under Option 1, a per-hectare cap, or threshold, for nitrogen losses will be set for each sub-catchment with similar soil type and rainfall. This threshold will be based on a ranking of nitrogen losses from farms within each sub-catchment, and could be set at the 90th percentile, or the 70th, or a point between. Feedback is sought on where this threshold should be set.

This is only one of the options being consulted on, The areas indicated are provisional and may not equate to areas included in regulation.

Layer ID 103881
Data type Vector polygon
Feature count 13564
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

nzfarm_segment_scale_reductions.shp

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

27
13
Added
05 Sep 2019

This item was first added to MfE Data Service on 05 Sep 2019

This file provides the data for 423,352 stream segments within the (pour point) catchments analysed in this study. The data includes baseline sediment loads and loads after NZFARM modelling to optimise location of ESC mitigations. It includes modelling of “Glacial Mountain” source-of-flow segments which have naturally high sediment loads, but have been included to maintain a contiguous stream network for sediment routing purposes. The file contains both stream segments which already meet sediment bottom line targets and those that required a reduction in sediment load to achieve bottom line.

Document ID22272
File namenzfarm_segment_scale_reductionsshp.zip
TypeZIP
Size68.9 MB

NZFARM_distribution_of_mitigations.shp

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

26
6
Added
05 Sep 2019

This item was first added to MfE Data Service on 05 Sep 2019

This file shows the location of mitigatable land where mitigations were applied in NZFARM modelling. The data contains an ID field for the mitigatable land parcel, the area of the mitigatable land parcel, and the proportion of the land parcel which the NZFARM modelling applied a Whole Farm Plan or Afforestation to.

Document ID22274
File namenzfarm_distribution_of_mitigationsshp.zip
TypeZIP
Size14.2 MB

Neverman et al. 2019 report

24
12
Added
05 Sep 2019

This item was first added to MfE Data Service on 05 Sep 2019

117
Document ID22275
File nameneverman-et-al-2019-report.pdf
TypePDF
Size2.69 MB
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