Skip to content

Latest commit

 

History

History
66 lines (51 loc) · 7.66 KB

README.md

File metadata and controls

66 lines (51 loc) · 7.66 KB
Raw

Green GDP: Pollution of water ecosystem services

This research project estimates the investment in natural capital and cost of pollution of water ecosystem services for the Green National Accounts of Denmark for 1990-2020.

For a brief overview of the approach and the development in the ecological status of coastal waters, lakes, and streams, see ThorNoe.GitHub.io/GreenGDP.

Output

Main results include:

Observed and imputed ecological status are displayed at ThorNoe.GitHub.io/GreenGDP, based on:

  • Table of ecological status as observed, imputed, and imputed with moving average respectively.
  • Table for each of the 108 catchment areas where mean ecological status by category (coastal waters, lakes, and streams respectively) is weighted by shore length.
  • Longitudinal tables by waterbody for:

How to run the script tool in ArcGIS Pro

All figures and tables can be reproduced by running the script tool or the underlying Python script using the Python class in the script module (based on ArcPy, an ArcGIS Pro license is as prerequisite).

Using ArcGIS Pro 3.2, you can run the script tool as follows:

  1. Click the green Code button at the top right corner of this GitHub page ^^ to download the repository.
  2. Within the downloaded GreenGDP (or GreenGDP-master) folder, go to the gis folder and open the ArcGIS Project File gis.aprx with ArcGIS Pro.
  3. In the Catalog Pane, open Toolboxes > gis.tbx > WaterbodiesScriptTool. Select the gis folder and Run the script

Public data for surface water

The most recent data on biological indicators of ecological status can be downloaded from the Danish surface water database odaforalle.au.dk. To access the data, you are required to submit your e-mail address.

For coastal waters (or lakes):

  • Go to Hent data > Hav (or Sø for lakes).
    • Select Vandkemi > Næringsstof og Miljøfarligt stof (or Næringsstof m.m. for lakes).
    • Set the from date: In Fra write 01-01-1987.
    • Set the to date: In Til (optional).
    • In Parameter select Chlorophyl (ukorrigeret) and Chlorophyl A.
    • In the bottom right corner, click Excel (<no. rows> rækker) and save to the gis/data folder as coastal_chlorophyll.xlsx (or lakes_chlorophyll.xlsx) (overwrite the existing files).

For streams:

  • Go to Hent data > Vandløb > Bundfauna > DVFI-indeks.
    • Set the from date: In Fra write 01-01-2021 (historical data is no longer at the site).
    • Set the to date: In Til (optional).
    • In the bottom right corner, click Excel (<no. rows> rækker) and save to the gis/data folder as streams_DVFI.xlsx (overwrite the existing file).

To extend the green national account beyond 2020, specify a new year_last when you run the script tool (as described above) to update the figures and tables with more recent data.

Update with new identification of waterbodies after 2027

When a fourth waterbody plan (VP4) is passed to cover the period after 2027, an updated MiljøGIS will be published and the Danish Environmental Protection Agency (Miljøstyrelsen) will produce updated linkage tables.

If interested in updating the script for VP4 by then, update the specifications in script.py with the new year_last and file names of the new linkage tables as well as the WFS specifications for the updated MiljøGIS map (first, open it with the ArcGIS Pro Geoprocessing tool WFS To Feature Class).

Run ArcPy commands in the PyScripter editor

For a mayor revision of the script tool (e.g., updating to VP4), one will want to be able to run ArcPy commands within an IDE or text editor.

The version of Python used in ArcGIS Pro is systematically older than the most recent version, which causes several incompatibility issues for Python scripts. Thus, the simplest IDE solution is to download and set up the PyScripter editor as explained here.

  1. Within ArcGIS Pro, navigate to the Package Manager:
    1. In the Environment Manager, Clone the default Python environment and Activate arcgispro-py3-clone as your new environment.
    2. Under Add Packages, Search for and Install scikit-learn for imputation of missing observations.
    3. Under Updates, remember to Update All each time you update ArcGIS Pro to a new version.
  2. Within PyScripter:
    1. Under Python Versions, Add and Activate the cloned environment, e.g. C:\Users\%USERNAME%\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone.
    2. Under Tools > Options > IDE Shortcuts, you can Assign the command Run: Execute selection to Shift+Enter (or whatever you prefer) instead of Ctrl+F7.

License

This project is released under the MIT License, that is, you can basically do anything with my code as long as you give appropriate credit and don’t hold me liable.