Swimming Water Quality Monitoring Points, SFRG March 2017 [Superseded]

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

312
0
Added
27 Jun 2018

This dataset was first added to MfE Data Service on 27 Jun 2018.

Suitability for Recreation Grade (SFRG) swimming water quality monitoring point data.

This data is a component of the Water Quality for swimming maps: www.mfe.govt.nz/fresh-water/state-of-our-fresh-wat...

Versions

This version has now been replaced with a later edition: data.mfe.govt.nz/layer/95564-swimming-water-qualit...

Column headings

WKT: Point geometry

NZReach: ID of nearest River Environment Classification reach

category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/national-targets-swimm...

Council_na: Regional council name

Region: Region

sitename: Name of site

LAWA_siten: Land, Air, Water, Aotearoa's name of site

Program_ty: Type of waterbody

catchment: Name of catchment (if available)

algae: Algae status

clarity: Clarity status

Layer ID 95563
Data type Vector point
Feature count 150
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Lake Water Quality for Swimming Categories [Raw Model Output]

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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.

510
6
Added
27 Jun 2018

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This dataset has now been superseded due to consultation with local authorities, and this is the latest version: data.mfe.govt.nz/layer/95555-river-water-quality-f...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)

River Water Quality for Swimming Categories [Raw Model Output]

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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.

775
31
Added
27 Jun 2018

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)

BOMEC_15_Class_region

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

7127
44
Updated
03 Jul 2018

This dataset was last updated on MfE Data Service on 03 Jul 2018.

The 15 class Benthic-Optimised Marine Environment Classification (BOMEC). The BOMEC divides the benthic environment into ecosystem types. These are grouped into three inshore groups, three continental shelf groups, and nine deeper-water groups. Each group represents areas with similar environmental variables, such as depth, temperature, salinity, and suspended sediment. The classification system considers the distributions of eight benthic taxonomic groups: asteroids, bryozoans, benthic foraminiferans, octocorals, polychaetes, matrix-forming scleratinian corals, sponges, and benthic fish.

Layer ID 52748
Data type Vector multipolygon
Feature count 15
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Benthic_Protected_Areas

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Creative Commons Attribution 3.0 New Zealand

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4167
24
Updated
03 Jul 2018

This dataset was last updated on MfE Data Service on 03 Jul 2018.

From the original files MFB0174_1_region_TM and MFB0174_1_rectangle_TM.

Sourced from MPI in May 2012. Contact Alana Corney.

Layer ID 52758
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Predicted lake water quality, 2009-13

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Creative Commons Attribution 4.0 International

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735
24
Added
24 Jun 2018

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)

Nitrate–nitrogen trends, 1989–2013

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

5398
71
Added
19 Feb 2016

This dataset was first added to MfE Data Service on 19 Feb 2016.

Small amounts of nitrogen are a natural component of healthy rivers. Nitrogen is transferred from land to water and is cycled through different forms, which can have different effects. Moderate concentrations of nitrate can cause weeds and algae to grow too fast. High concentrations of ammoniacal and nitrate nitrogen can be toxic to fish and other aquatic animals.
This dataset relates to the "River water quality trends: nitrogen" measure on the Environmental Indicators, Te taiao Aotearoa website.

Layer ID 53319
Data type Vector point
Feature count 77
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Irrigated land area, 2017

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

8550
206
Added
12 Nov 2017

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

Irrigation is used to support land use, particularly in areas with low or seasonal rainfall. Irrigation can improve the productivity of land for farming activity, and support amenity or recreational land uses within urban environments.Irrigation can also alter the natural character of our landscapes (eg change dry land to greener and wetter land), and can increase nutrient (phosphorus and nitrogen) runoff and leaching into waterways.

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/fresh-water/technical-guidance-and...

Layer ID 90838
Data type Vector multipolygon
Feature count 32592
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Wetland extent, 2001-16

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

6126
132
Added
16 Apr 2018

This dataset was first added to MfE Data Service on 16 Apr 2018.

Wetlands support high levels of biodiversity. They provide habitat for native invertebrates, plants, fish, and bird species (eg fernbird, kōkopu, and eels), many of which live only in wetlands. Wetlands act as ‘kidneys’ and giant sponges – they clean the water of excess nutrients and sediment, control flood water and pollutants, and act as carbon sinks (removing carbon dioxide from the atmosphere). Wetlands have strong cultural and spiritual importance for Māori. They are a food source (eg eel, whitebait) and provide material for weaving (eg raupō, harakeke (flax)). Draining wetlands for agricultural and urban development over the past 150 years has led to significant wetland loss and deterioration.

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

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.

Layer ID 95347
Data type Vector multipolygon
Feature count 14632
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual PED, 2015/16

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

2888
7
Added
18 Oct 2017

This dataset was first added to MfE Data Service on 18 Oct 2017.

Potential evapotranspiration deficit (PED) can be thought of as a drought index. It is the difference between how much water could potentially be lost from the soil through evapotranspiration and how much is actually available. When PED is high, plants do not have the full amount of water available they need for growth. As our climate changes, increasing temperatures and rainfall pattern changes are expected to increase PED, and the frequency and intensity of drought, particularly in currently drought-prone regions.
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.

Layer ID 89486
Data type Grid
Resolution 5096.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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