Urban water quality - all data - 1985–2015

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

8639
67
Added
24 Apr 2017

This dataset was first added to MfE Data Service on 24 Apr 2017.

Urban water quality indicators include heavy metals, nutrients, and E.coli. The concentrations of these indicators are compared to the proportion of urban land cover in catchments.

Heavy metals have the ability to accumulate in sediments, shellfish, and other aquatic organisms. Metals can reach toxic levels in organisms making them unsafe to consume and can be toxic to aquatic life. Nutrients can cause excessive algal growth and E.coli has the ability to make people sick while they are swimming if concentrations are high enough. Rivers with poor water quality are rarely suitable for recreation and provide poor habitats for aquatic species.

File contains data related to each sampling occasion by site for each water quality indicator in Auckland, Wellington, and Christchurch over the period 1985–15.

Table ID 53600
Data type Table
Row count 58661
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban stream water quality - trends - 2008–15

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.

7114
30
Added
24 Apr 2017

This dataset was first added to MfE Data Service on 24 Apr 2017.

Urban water quality indicators include heavy metals, nutrients, and E.coli. The concentrations of these indicators are compared to the proportion of urban land cover in catchments.

Zinc and copper are heavy metals that can accumulate in sediments, shellfish, and other aquatic organisms. Metals can reach toxic levels in organisms making them unsafe to eat and can be toxic to aquatic life. Nitrogen and phosphorus are nutrients that can cause excessive algal growth. Ammonical nitrogen and nitrate-nitrogen can be toxic to aquatic life if concentrations in streams are high enough. E.coli is an indicator of disease-causing organisms, which may affect human health and recreational values in streams.

File contains trend analyses by site for water quality indicators in Auckland, Wellington, and Christchurch over the period 2008–15.

Table ID 53598
Data type Table
Row count 217
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Updated suspended sediment yield estimator and estuarine trap efficiency model results 2019

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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.

2492
53
Added
14 Aug 2019

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:

  1. Load – results on mean annual suspended sediment load reported by REC 2 river reach scale for various model scenario variations.
  2. Lakes – results on sediment inflow, outflow, and entrapment in lakes and reservoirs
  3. Coastal – results on sediment inflows, trap efficiency, and sedimentation rates in coastal hydrosystems (estuaries)

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)

Units: percentage of normal sunshine hours 2013

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.

6379
3
Added
15 Feb 2016

This dataset was first added to MfE Data Service on 15 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows percentage of normal sunshine hours across New Zealand for 2013 as part of the data series for years 1972 to 2013. Data is for a calendar year (January–December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010.

This dataset relates to the "Sunshine hours in New Zealand" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: hrs/yr"

Layer ID 53222
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Units: percentage of normal sunshine hours 2012

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.

5622
1
Added
15 Feb 2016

This dataset was first added to MfE Data Service on 15 Feb 2016.

Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows percentage of normal sunshine hours across New Zealand for 2012 as part of the data series for years 1972 to 2013. Data is for a calendar year (January–December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010.

This dataset relates to the "Sunshine hours in New Zealand" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: hrs/yr

Layer ID 53221
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Units: percentage of normal sunshine hours 2011

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.

5651
1
Added
15 Feb 2016

This dataset was first added to MfE Data Service on 15 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows percentage of normal sunshine hours across New Zealand for 2011 as part of the data series for years 1972 to 2013. Data is for a calendar year (January–December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010.

This dataset relates to the "Sunshine hours in New Zealand" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: hrs/yr"

Layer ID 53220
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Units: percentage of normal sunshine hours 2010

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.

5723
1
Added
15 Feb 2016

This dataset was first added to MfE Data Service on 15 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows percentage of normal sunshine hours across New Zealand for 2010 as part of the data series for years 1972 to 2013. Data is for a calendar year (January–December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010.

This dataset relates to the "Sunshine hours in New Zealand" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: hrs/yr

Layer ID 53219
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Units: percentage of normal sunshine hours 2009

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.

6478
1
Added
15 Feb 2016

This dataset was first added to MfE Data Service on 15 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows percentage of normal sunshine hours across New Zealand for 2009 as part of the data series for years 1972 to 2013. Data is for a calendar year (January–December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010.

This dataset relates to the "Sunshine hours in New Zealand" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: hrs/yr"

Layer ID 53218
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Units: percentage of normal sunshine hours 2008

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.

6758
2
Added
15 Feb 2016

This dataset was first added to MfE Data Service on 15 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows percentage of normal sunshine hours across New Zealand for 2008 as part of the data series for years 1972 to 2013. Data is for a calendar year (January–December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010.

This dataset relates to the "Sunshine hours in New Zealand" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: hrs/yr"

Layer ID 53217
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Units: percentage of normal sunshine hours 2007

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.

6851
1
Added
15 Feb 2016

This dataset was first added to MfE Data Service on 15 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows percentage of normal sunshine hours across New Zealand for 2007 as part of the data series for years 1972 to 2013. Data is for a calendar year (January–December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010.

This dataset relates to the "Sunshine hours in New Zealand" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: hrs/yr"

Layer ID 53216
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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