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 last updated on MfE Data Service on 24 Jul 2019.
This dataset provides boundaries for catchments that drain to the sea (i.e. sea draining catchments).
It is extracted from the Freshwater Ecosystems of New Zealand (FENZ) v1.0 geodatabase. Ministry for the Environment hosts this copy of this layer for convenience and visibility. For all inquiries please contact Department of Conservation directly.
FENZ requires specialist GIS knowledge for its technical operation and biodiversity knowledge for understanding the content. Because of FENZ’s complexity, DOC is providing advice, briefings and training (where possible) to ensure users understand its strengths, limitations and appropriate applications.
If you would like more information about FENZ or access to any FENZ data sets, email fenz@doc.govt.nz.
www.doc.govt.nz/our-work/freshwater-ecosystems-of-...
Variables:
Catch_id - This is a unique identifier that can be used to link to other datasets in the FENZ database, or datasets from other sources that also use a FENZ id.
Catchment names:
Currently a definitive catchment names dataset does not exist. However for your convenience, an unofficial list has been provided in the attachments ("fenz_catnames.csv") which can be joined to the catchment boundaries to provide names. Feedback on the accuracy or completeness of these names is welcomed.
Layer ID | 99776 |
---|---|
Data type | Vector multipolygon | Feature count | 10131 |
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 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
Cite data as:
GNS Science. (2019). Depth to hydrogeological basement [Data set]. Ministry for the Environment, GNS Science. doi.org/10.21420/FQXD-VY44
Cite report describing the data as:
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 03 Jun 2019.
www.mfe.govt.nz/publications/fresh-water/national-...
This report updates previously published statistics on water consented to be taken from surface and groundwater sources for consumptive uses (such as irrigation or drinking water). The report focusses on the potential pressure on surface water flows from consumptive water takes. Stream flow pressure is characterised by accumulating water consented to be taken as percentage of median flow in all river reaches affected by consented takes in New Zealand.
Data relating to non-hydroelectric consents. It contains upstream accumulated maximum consented rates by use, source and in total. Please note that the upstream accumulated total for each nzsegment can appear in multiple rows; once for each FactorName.
This dataset was used for the "Consented freshwater takes" indicator, as part of the environmental reporting series: Our freshwater 2020. This indicator can be found at www.stats.govt.nz/indicators/consented-freshwater-...
The “Consented freshwater takes” indicator uses two datasets
Table ID | 102976 |
---|---|
Data type | Table |
Row count | 698236 |
Services | 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.
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) |
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 last updated on MfE Data Service on 03 Jun 2020.
This dataset reports modelled mean annual suspended sediment load reduction required to meet suspended sediment attribute bottom lines in the NPS-FM 2020. 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.
During policy development, the Ministry for the Environment tested suspended sediment load reductions required to meet various potential attribute bottom lines. The information from February 2020 reflects the bottom lines in the NPS-FM 2020. For further information on this specific dataset, see “Hicks and Shankar 2020. Contract 23184 Task: Sediment load reductions to meet visual clarity bottom lines”. This report is available on the Ministry for the Environment’s publications website where it is listed as Technical Report 6.
For further information on the modelling, 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. This report is available here: www.mfe.govt.nz/publications/fresh-water/sediment-....
Note that the river segment and pour point catchment results provided in the 2019 dataset 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 | 633 |
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 a classification of geological units in terms of their importance for groundwater flow and storage. For more detail on the process and methods, see White et al. (2019). New Zealand groundwater atlas: hydrogeological-unit map of New Zealand. Lower Hutt (NZ): GNS Science. 88 p. Consultancy Report 2019/144.
New Zealand Hydrogeological unit map (HUM) separated into aquifers, aquitards, aquicludes and basement developed in a nationally-consistent manner. This dataset includes only outcropping hydrogeological units. This dataset was also joined to the hydrogeological system dataset (Moreau et al. 2019), to provide a single polygon for each unique combination of HUM and hydrogeological system. Summary statistics of surficially mapped products are provided for each polygon (groundwater use, flow, recharge, discharge to the surface; depth to hydrogeological basement; and number of drinking water wells serving >100 people).
Attachment: New Zealand Hydrogeological unit map (HUM) separated into aquifers, aquitards, aquicludes and basement developed in a nationally-consistent manner. This dataset includes overlapping stacked polygons that represent different aged hydrogeological units.
Layer ID | 104445 |
---|---|
Data type | Vector multipolygon | Feature count | 1290 |
Dimensions | Z values |
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 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) |
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 includes three “packages” of information, each with multiple variables. The packages include:
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.
Layer ID | 103686 |
---|---|
Data type | Vector linestring | Feature count | 593466 |
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 03 Nov 2020.
This layer applies the sediment attributes’ classification, per Appendix 2C of the NPS-FM 2020, to the digital River Environment Classification (REC) v2.4 network.
This layer is meant to support stakeholders in their understanding and implementation of the suspended and deposited sediment attributes, but it does not form part of the regulation; it is not incorporated by reference.
Layer ID | 105094 |
---|---|
Data type | Vector multilinestring | Feature count | 593548 |
Primary key | nzsegment |
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 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) |