River water quality modelled, state, 2013–2017

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Creative Commons Attribution 4.0 International

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740
496
Updated
15 Apr 2020

This dataset was last updated on MfE Data Service on 15 Apr 2020.

16 April 2020: Subsequent to publication in April 2019 we discovered two small errors with this dataset. These included:

  • Errors in the coordinates of some sites and their associated metadata (such as landcover and elevation).
  • Errors in our calculation of dominant landcover.

In addition, flow data from TopNet has also been updated.

These changes have a minor impact on overall results. These changes have have been corrected, and are republished here, as part of the Our freshwater 2020 release.

IMPORTANT INFORMATION

1) The main (cleaned) dataset is structured by each row having a nzsegment and np_id combination. A large dataset (~ 1 GB) has resulted, due to the inclusion of the ANZG/NOF columns and the 10 different np_id values. There are ~ 6 million rows to this dataset, however a 32-bit version of Microsoft Excel will only display/download ~ 1 million rows. A DBMS, statistical or GIS application is needed to view the entire dataset.

2) A smaller raw dataset (see attachments) is provided which structures each row relating to a river segment and drops the ANZG/NOF columns.

3) The attached metadata/date quality report provides further information on the NOF, ANZG and the "McDowell meet/doesnt meet" attachment.

This dataset contains ten parameters of water quality based on measurements made at monitored river sites:

  • Nitrate-nitrogen
  • Ammoniacal nitrogen
  • Ammoniacal nitrogen (adjusted)
  • Total nitrogen
  • Total phosphorus
  • Dissolved reactive phosphorus
  • Water clarity
  • Turbidity
  • Escherichia coli
  • Macroinvertebrate community index These parameters are used to measure:
  • Modelled median values for all of New Zealand’s river length for the period 2013 to 2017
  • For selected indicators, how the modelled values compare to the National Objectives Framework (NOF) (MfE, 2017) bands related to ecosystem health and human health for recreation, and to expected concentrations in natural conditions, as shown by the default guideline values in the Australian and New Zealand guidelines for fresh and marine water quality (ANZG, 2018)

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Summary report available at www.mfe.govt.nz/publications/fresh-water/spatial-m...

Table ID 99871
Data type Table
Row count 3222725
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

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.

1895
41
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)

Resource consent applications 2014-15 to 2018-19

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

258
8
Updated
09 Aug 2020

This dataset was last updated on MfE Data Service on 09 Aug 2020.

DATA SOURCE:
The NMS dataset is compiled, from data supplied by Local Authorities (Regional, Unitary, and Territorial Councils), by the Ministry for the Environment.
Whilst every effort has been made to ensure the accuracy of this data, the Ministry makes no representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which you might incur as a result of the product being inaccurate or incomplete in any way or for any reason.
All datasets are updated as new information becomes available.

Description:
All resource consent applications or reviews granted, declined, found incomplete, returned or withdrawn by local authorities from 2014/15 to 2018/19.
The Ministry for the Environment collects and compiles this data from New Zealand’s 78 Regional Councils, Territorial Authorities and Unitary Authorities as part of the National Monitoring System (NMS) for the Resource Management Act.
The NMS monitors implementation of the RMA by local authorities and includes information on planning, consenting, monitoring and enforcement.
Most of the questions asked in the NMS are the same from year to year. Some are added or dropped as information requirements change.
A data dictionary is attached which describes the data collected about resource consent applications over time. The most recent (2018/19) data collection template and a guidance document to councils about how to fill out the collection template are also attached.
Further information on the NMS and the dataset can be located on the Ministry website - www.mfe.govt.nz/rma/monitoring-rma-implementation

Table ID 104834
Data type Table
Row count 223993
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Relative contribution of other sources

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

4690
9
Added
16 Sep 2015

This dataset was first added to MfE Data Service on 16 Sep 2015.

Other human-made sources – such as aviation, forestry, and non-combustion industrial activities (eg grinding and crushing) – generally emit relatively small amounts of key air pollutants. Comparing their contribution to air pollution helps us understand the pressures they place on our air quality.

Other human-made sources of air pollution include but are not limited to:
- transport emissions from aviation, off-road motor vehicles, rail, and shipping transport activities
- non-combustion emissions from industry, such as process emissions (eg milk driers) and activities that involve abrasive and mechanical processes (eg grinding and crushing)
- agricultural and forestry activities, such as logging activities and agricultural burning.

This dataset relates to the "Relative contribution of other human-made emissions" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52436
Data type Table
Row count 20
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Relative contribution of key sources

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.

4457
16
Added
16 Sep 2015

This dataset was first added to MfE Data Service on 16 Sep 2015.

Burning wood and coal for home heating, road motor vehicle use, industrial activities, and household outdoor burning are the key human-made sources of air pollutants in New Zealand. These pollutants have a range of health effects.
Measuring the relative contribution of each source helps us understand their pressures on our air quality. It also provides context for changes in emissions from individual sources. For example, from 2006 to 2013, PM10 emissions from road motor vehicles decreased 25 percent. However, this source contributed only 9 percent of the total national PM10 emissions from the four key sources. Therefore, this decrease in PM10 emissions from road motor vehicles likely had only a minor effect on total PM10 emissions.

Daily winter emissions and annual average emissions are presented as there is strong seasonality in emissions. Daily winter contributions were also assessed because this is the timeframe used by WHO and in national standards and winter months is when concentrations in excess of the standards most frequently occur.

This dataset relates to the "Relative contribution of key human-made emission sources" measure on the Environmental Indicators, Te taiao Aotearoa website.

Further information can be found in Environet and Golders Associates (2015). Home heating emission inventory and other sources evaluation. Wellington: Ministry for the Environment. Available at data.mfe.govt.nz/x/a5FAw6 on the Ministry for the Environment dataservice.

Table ID 52434
Data type Table
Row count 40
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Rare ecosystems - Threat status of rare ecosystems, by ecosystem class, 2014

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.

5215
56
Added
28 Sep 2015

This dataset was first added to MfE Data Service on 28 Sep 2015.

Rare ecosystems are ecosystems that either naturally cover very small areas or have very little of their original extent remaining. The extent to which they are threatened with extinction informs their conservation priority.

Column headings:
no_ecosys = number of rare ecosystems

This dataset relates to the "Rare ecosystems" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52486
Data type Table
Row count 71
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Rainfall, 1960–2016

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

6566
270
Added
12 Oct 2017

This dataset was first added to MfE Data Service on 12 Oct 2017.

Daily rainfall values for 30 representative sites from 1960–2016.
Rain is vital for life – it supplies the water we need to drink and to grow our food, keeps our ecosystems healthy, and supplies our electricity. New Zealand’s mountainous terrain and location in the roaring forties mean rainfall varies across the country. Changes in rainfall amount or timing can significantly affect agriculture, energy, recreation, and the environment. For example, an increase or decrease of rainfall in spring can have marked effects on crops or fish populations.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Table ID 89401
Data type Table
Row count 617808
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Rainfall, 1960 - 2019

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

329
24
Added
14 Oct 2020

This dataset was first added to MfE Data Service on 14 Oct 2020.

DATA SOURCE: National Institute for Water and Atmospheric Research (NIWA)
[Technical report available at www.mfe.govt.nz/publications/environmental-reporti...]

Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency

Dataset used to develop the "Greenhouse gas concentrations" indicator [available at www.stats.govtnz/indicators/greenhouse-gas-concent...]

This lowest aggregation dataset, was used to develop two ‘Our Atmosphere and Climate’ indicators. See Statistics New Zealand indicator links for specific methodologies and state/trend datasets (see ‘Shiny App’ downloads).
1) Rainfall (www.stats.govt.nz/indicators/rainfall)
2) Extreme rainfall (a. www.stats.govt.nz/indicators/extreme-rainfall

This dataset shows daily rainfall at 30 sites across New Zealand from 1960 to 2019.

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Table ID 105055
Data type Table
Row count 657450
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Rainfall Intensity, 1960–2016

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4973
72
Added
13 Oct 2017

This dataset was first added to MfE Data Service on 13 Oct 2017.

Two measures of rainfall intensity - percent of annual precipitation in the 95th percentile (r95ptot) and annual maximum one-day rainfall (rx1day).
Intense rainfall can result in flash floods or land slips that damage homes and property, disrupt transportation, and endanger lives. It can also interfere with recreation and increase erosion. Changes to the frequency of intense rainfall events can alter biodiversity.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Table ID 89435
Data type Table
Row count 1710
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Proportion of fish stocks meeting or exceeding performance thresholds (2009–14)

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

4920
61
Added
28 Sep 2015

This dataset was first added to MfE Data Service on 28 Sep 2015.

Our fish stocks are affected by commercial, customary, and recreational fishing, and environmental pressures (eg ocean temperature, acidity, and productivity). The Ministry for Primary Industries uses three performance measures to assess influences on fish stocks: a soft limit (below which a rebuilding plan is required), a hard limit (below which closing a fishery should be considered), and an overfishing threshold (where the rate of extraction is higher than the rate of replenishment).
This dataset relates to the "State of fish stocks" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52512
Data type Table
Row count 58
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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