River water quality, heavy metals, state, 2015-2017

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Creative Commons Attribution 4.0 International

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2521
15
Added
06 Apr 2020

This dataset was first added to MfE Data Service on 06 Apr 2020.

Heavy metals in river waters are an indicator of river water quality. We monitor a subset of rivers and streams in predominantly urban areas in Auckland, Wellington, and Christchurch, and look at how these values are changing over time. This indicator shows:

  • concentrations of dissolved copper and zinc measured at monitoring sites for the three-year period from 2015 to 2017
  • how these compare to the default guideline values for the protection of 95 percent of species in the Australian and New Zealand guidelines for fresh and marine water quality (ANZG, 2018)

Summary report available at www.mfe.govt.nz/publications/fresh-water/urban-riv....

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 104563
Data type Table
Row count 110
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality, raw observations, 2013-2017

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Creative Commons Attribution 4.0 International

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1734
9
Added
18 Aug 2021

This dataset was first added to MfE Data Service on 18 Aug 2021.

These data are the raw river water quality observations used to calculate state and trends for the period ending 2017.

It 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

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the summary report available at www.mfe.govt.nz/publications/fresh-water/water-qua....

Note: This dataset has a large number of rows, which Microsoft Excel may not be able to fully open. A DBMS, statistical or GIS application is needed to view the entire dataset.

Table ID 105938
Data type Table
Row count 1198633
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality binomial trend direction statistics xlsx

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Creative Commons Attribution 3.0 New Zealand

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922
137
Added
07 Oct 2015

This item was first added to MfE Data Service on 07 Oct 2015

Document ID11441
File nameriver-water-quality-binomial-trend-direction-statistics-xlsx.xlsx
TypeXLSX
Size12.2 KB

River water quality modelled state 2013–2017 McDowell meets/doesn't meet

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Creative Commons Attribution 4.0 International

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571
16
Added
16 Apr 2019

This item was first added to MfE Data Service on 16 Apr 2019

Document ID21923
File nameriver-water-quality-modelled-state-20132017-mcdowell-meetsdoesnt-meet.csv
TypeCSV
Size57.4 MB

RiverQ ecoli modelled mcdowell meet clean

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Creative Commons Attribution 4.0 International

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568
6
Added
16 Apr 2019

This item was first added to MfE Data Service on 16 Apr 2019

Document ID21922
File nameriverq-ecoli-modelled-mcdowell-meet-clean.csv
TypeCSV
Size57.4 MB

River water quality modelled state 2013–2017 data quality

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

549
15
Added
16 Apr 2019

This item was first added to MfE Data Service on 16 Apr 2019

3
Document ID21957
File nameriver-water-quality-modelled-state-20132017-data-quality.pdf
TypePDF
Size510 KB

WQ PredictionsDF REC2 29November 2018

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Creative Commons Attribution 4.0 International

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539
6
Added
15 Apr 2019

This item was first added to MfE Data Service on 15 Apr 2019

Document ID21921
File namewq-predictionsdf-rec2-29november-2018.csv
TypeCSV
Size195 MB

River water quality modelled state dataservice data quality

Licence

Creative Commons Attribution 4.0 International

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511
11
Added
14 May 2019

This item was first added to MfE Data Service on 14 May 2019

4
Document ID21986
File nameriver-water-quality-modelled-state-dataservice-data-quality.pdf
TypePDF
Size586 KB

River water quality modelled state 2013–2017 raw data

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

452
18
Added
16 Apr 2019

This item was first added to MfE Data Service on 16 Apr 2019

Document ID21924
File nameriver-water-quality-modelled-state-20132017-raw-data.csv
TypeCSV
Size195 MB

NZ Freshwater Nutrient and Biomass Measurements for Periphyton 2012 - 2020

Licence

Creative Commons Attribution 4.0 International

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317
8
Added
25 May 2022

This dataset was first added to MfE Data Service on 25 May 2022.

NZ regional council freshwater nutrient and biomass measurements 2012-2020.

Used to derive nitrogen and phosphorus concentrations and exceedance criteria for managing periphyton in fresh water.

Creative Commons 4.0 International by Ministry for the Environment and Statistics New Zealand

Variables:

  • Site (the number of the data point itself)
  • RC (Regional Council that collected the measurement)
  • RCSiteID (the identifier used by that specific council)
  • SiteName (the Site where the measurement was collected)
  • DateChla (date the chlorophyll-a measurement was collected)
  • Year (Year of collection)
  • Month (Month of collection)
  • Chla ( mg chlorophyll-a per square meter)
  • NOxppb (Nitrous oxide parts per billion)
  • NH4ppb (Ammonia parts per billion)
  • DRPppb (Dissolved Reactive Phosphorus parts per billion)
  • TNppb (Total Nitrogen parts per billion)
  • TPppb (Total Phosphorus parts per billion)
  • DINppb (Dissolved Inorganic Nitrogen parts per billion)
  • EC (Electrical Conductivity)
  • pH (acidity/basicness of the water at the sample location)
  • Temp (water temperature in degrees Celsius at time of measurement)
  • Turbidity (turbidity of the water at time of measurement)
  • Clarity_m (water clarity, in metres, at the time of measurement)

N/A values in the data set refer to an absence of measurement for that specific variable.

Report:

environment.govt.nz/publications/derivation-of-nut...

Snelder T, Kilroy C, Booker D (2021) Derivation of Nutrient Criteria for Periphyton Biomass Objectives. Using regional council monitoring data. LWP and NIWA Ltd, Christchurch, New Zealand

For subject matter questions please contact freshwater@me.govt.nz.

Table ID 107868
Data type Table
Row count 20765
Services Web Feature Service (WFS), Catalog Service (CS-W)
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