Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 27 Jan 2020.
This data set provides an update of New Zealand’s depth to hydrogeological basement map. Depth to hydrogeological basement can be loosely defined as the ‘base of aquifers’; or more strictly as ‘the depth to where primary porosity and permeability of geological material is low enough such that flued volumes and flow rates can be considered negligible’. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: depth to hydrogeological basement. Lower Hutt (NZ): GNS Science. 19 p. Consultancy Report 2019/140.
A national model was used to estimate depth to hydrogeological basement. Hydrogeological basement refers to geological material with primary porosity and permeability that is low enough such that fluid volumes and flow rates can be considered negligible.
| Layer ID | 104446 |
|---|---|
| Data type | Grid |
| Resolution | 250.000m |
| Services | Raster Query API, Catalog Service (CS-W) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 27 Jan 2020.
This set of data sets provides an estimation of groundwater flux. There are three components: Groundwater recharge: development of nationwide mean (daily and seasonal) groundwater recharge data sets through the combination of three pre-existing groundwater recharge models; Groundwater–surface water exchange: development of a national indicative groundwater discharge data set using an existing national groundwater flow model, as well as comparison with a pre-existing gaining/losing stream prediction data set; Groundwater flow: development of a national groundwater flow data set using an existing national groundwater flow model. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: Groundwater Fluxes. Lower Hutt (NZ): GNS Science. 60 p. Consultancy Report 2019/126.
A national groundwater model (NWT) was used to estimate the probability of groundwater discharging to the surface and separated into classes to encompass the uncertainty of the dataset.
| Layer ID | 104448 |
|---|---|
| Data type | Image/Raster |
| Resolution | 250.000m |
| Services | Catalog Service (CS-W) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 27 Jan 2020.
This set of data sets provides an estimation of groundwater flux. There are three components: Groundwater recharge: development of nationwide mean (daily and seasonal) groundwater recharge data sets through the combination of three pre-existing groundwater recharge models; Groundwater–surface water exchange: development of a national indicative groundwater discharge data set using an existing national groundwater flow model, as well as comparison with a pre-existing gaining/losing stream prediction data set; Groundwater flow: development of a national groundwater flow data set using an existing national groundwater flow model. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: Groundwater Fluxes. Lower Hutt (NZ): GNS Science. 60 p. Consultancy Report 2019/126.
A national groundwater model was used to estimate near-surface groundwater flow amplitudes and separated into four classes to encompass the uncertainty of the dataset.
| Layer ID | 104449 |
|---|---|
| Data type | Image/Raster |
| Resolution | 250.000m |
| Services | Catalog Service (CS-W) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 27 Jan 2020.
This set of data sets provides an estimation of groundwater flux. There are three components: Groundwater recharge: development of nationwide mean (daily and seasonal) groundwater recharge data sets through the combination of three pre-existing groundwater recharge models; Groundwater–surface water exchange: development of a national indicative groundwater discharge data set using an existing national groundwater flow model, as well as comparison with a pre-existing gaining/losing stream prediction data set; Groundwater flow: development of a national groundwater flow data set using an existing national groundwater flow model. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: Groundwater Fluxes. Lower Hutt (NZ): GNS Science. 60 p. Consultancy Report 2019/126.
Three national models of groundwater recharge in New Zealand were used (NGRM, TopNet, IrriCalc) to create a mean model of groundwater recharge. This dataset summarises the gridded groundwater recharge from this model mean for the period 2000-2015 in mm/day.
_Attachment 1: _A complementary dataset describing the standard deviation of the NZGroundwaterRecharge_mean_20002015 dataset.
Attachment 2: This dataset summarises the gridded autumn groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.
Attachment 3: This dataset summarises the gridded spring groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.
Attachment 4: This dataset summarises the gridded summer groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.
Attachment 5: This dataset summarises the gridded winter groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.
| Layer ID | 104447 |
|---|---|
| Data type | Grid |
| Resolution | 1010.000m |
| Services | Raster Query API, Catalog Service (CS-W) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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) |