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.
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
Attachments | ||||
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1. | SSYE output data notes | 16.0 KB | docx |
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2. | Output data tables for MfE Sediment | 50.8 MB | xlsx |
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3. | Maps | 14.2 MB | zip |
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4. | Sedcor clas2 | 4.69 MB | zip |
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5. | Sedload clas2 | 4.68 MB | zip |
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6. | Sedpeur clas2 | 4.16 MB | zip |
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7. | Sedphum clas2 | 4.14 MB | zip |
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8. | Readme-datapack-MfE_v2.pdf | 483 KB |
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Information | |
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Category | Fresh Water |
Tags | Suspended sediment, sediment yield, sediment load, predicted reference state, predicted current state |
Regions | New Zealand |
Technical Details | |
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Layer ID | 103686 |
Data type | Vector linestring | Feature count | 593466 |
Attributes | nzsegment, cumArea, CurrUncor, CurrCor_cu, PreEuro_cu, PreHuman_c |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W) |
History | |
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Added | 14 Aug 2019 |
Revisions | 5 - Browse all revisions |
Current revision | Imported on Aug. 13, 2019 from Shapefile in NZGD2000 / New Zealand Transverse Mercator 2000. |
Copy and paste the following code to embed this layer as a single map in your blog or website: