Erosion modelling to support proposed sediment attribute impact testing 2019

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

325
15
Added
05 Sep 2019

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

This dataset reports erosion modelling results regarding annual mean sediment load reductions required to meet proposed suspended sediment attribute bottom lines. For more detail on the modelling process and methods, see Neverman et al. (2019). Impact testing of a proposed suspended sediment attribute: identifying erosion and sediment control mitigations to meet proposed sediment attribute bottom lines and the costs and benefits of those mitigations. Maanaki Whenua Landcare Research Client Report. Prepared for the Ministry for the Environment.

Results of modelled mitigations are reported at catchment scale and at the REC2 river reach scale. The modelled on-farm mitigations (per economic optimisation as reported in Neverman et al. (2019) are also mapped.

Layer ID 103850
Data type Vector multipolygon
Feature count 585
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Hydrological modelling to support proposed sediment attribute impact testing 2019

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

159
6
Added
14 Aug 2019

This dataset was first added to MfE Data Service on 14 Aug 2019.

This dataset reports modelled mean annual suspended sediment load reduction required to meet proposed suspended sediment attribute bottom lines. Results are reported for the REC 2 river reach scale as well as at the “catchment pourpoint average” scale. The dataset includes masks for the DoC estate as well as glacial mountain source of flow. For further information, see Hicks et al. (2019) Sediment load reductions to meet suspended and deposited sediment thresholds. NIWA Client Report No. 2019100CH. Prepared for the Ministry for the Environment.

Note that the river segment and pour point catchment results provided here (in the attached folders with the same names) form the basis for the erosion and economic modelling assessment of proposed sediment attributes as reported in Neverman et al. (2019). Impact testing of a proposed suspended sediment attribute: identifying erosion and sediment control mitigations to meet proposed sediment attribute bottom lines and the costs and benefits of those mitigations. Maanaki Whenua Landcare Research Client Report. Prepared for the Ministry for the Environment.

Layer ID 103687
Data type Vector multipolygon
Feature count 627
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Lake 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.

392
5
Added
27 Jun 2018

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

Water quality for swimming categories for lakes with perimeters over 1.5 km. 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:

LID: FENZ Lake ID

Name: Name of lake (where available

RC: Regional council name

CHLA: Chlorophyll a (mg/L)

SECCHI: Secchi disc depth (m)

TLI3: Trophic Level Index (unitless)

TN: Total nitrogen (mg/m3)

TP: Total phosphorus (mg/m3)

CyanBVl: Cyanobacterial biovolume (mm3/L)

Cy_cat: Water quality for swimming category see www.mfe.govt.nz/fresh-water/what-government-doing/...

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

Layer ID 95561
Data type Vector multipolygon
Feature count 3801
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

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

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

31
0
Added
27 Jun 2018

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

Water quality for swimming categories for lakes with perimeters over 1.5 km. 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:

LID: FENZ Lake ID

Name: Name of lake (where available

RC: Regional council name

Category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/what-government-doing/...

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

Layer ID 95556
Data type Vector multipolygon
Feature count 861
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Lake Water Quality for Swimming Categories, March 2017 [Superseded]

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

35
0
Added
27 Jun 2018

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

Water quality for swimming categories for lakes with perimeters over 1.5 km. 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:

LID: FENZ Lake ID

Name: Name of lake (where available

RC: Regional council name

Category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/what-government-doing/...

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

Layer ID 95559
Data type Vector multipolygon
Feature count 906
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Lake Water Quality for Swimming Categories, September 2017 [Latest]

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

297
8
Added
27 Jun 2018

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

Water quality for swimming categories for lakes with perimeters over 1.5 km. This dataset was used to compose the current state for water quality for swimming.

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 is the latest version of the Water Quality for Swimming Categories set.

Column headings:

LID: FENZ Lake ID

Name: Name of lake (where available

RC: Regional council name

Category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/what-government-doing/...

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

Layer ID 95554
Data type Vector multipolygon
Feature count 858
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

MfE Low-slope extent 2019

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

983
32
Added
01 Sep 2019

This dataset was first added to MfE Data Service on 01 Sep 2019.

This dataset shows land parcels within grassland and annual cropping areas which have an average slope of less than 10 degrees. Polygons are attributed into 3 slope classes: less than 5 degrees mean slope; 5 - 7 degrees mean slope; 7 - 10 degrees mean slope.

Layer ID 103847
Data type Vector multipolygon
Feature count 589664
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Option 1 for reducing nitrogen loss

Online
Only
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

147
6
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)

Option 3 for reducing nitrogen loss

Online
Only
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

122
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 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)

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.

580
20
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)
Results 1 to 10 of 22