-
Notifications
You must be signed in to change notification settings - Fork 10
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Finish the report instructions and description
- Loading branch information
Showing
2 changed files
with
103 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,101 @@ | ||
# Gravimetry processing computational report | ||
|
||
This report is a summative assessment for ground-based gravity processing. It | ||
is designed to test if students are able to repeat the processing steps on a | ||
different dataset under slightly different conditions: there are more surveys | ||
and surveys are tied to different base stations. The location of the surveys is | ||
also different, providing an opportunity for assessing their interpretation. | ||
|
||
## General background | ||
|
||
The [Bushveld Igneous Complex](https://en.wikipedia.org/wiki/Bushveld_Igneous_Complex) | ||
in South Africa is a large layered igneous intrusion. | ||
It is an important economic resource and a source of platinum, vanadium, iron, | ||
chromium, uranium, and more. | ||
Recently, the intrusions are also being considered as a key geothermal resource | ||
due to their high heat production (Dhansay et al., 2017). | ||
To further study the Bushveld, a series of ground gravity surveys have been | ||
commissioned covering a majority of the complex. | ||
Gravity data can provide crucial information about the shape and possible | ||
vertical extent of the intrusions, as well as the crustal structure as a whole. | ||
|
||
## Instructions | ||
|
||
Your job is to: | ||
|
||
1. Process the raw gravimeter readings into absolute gravity. | ||
1. Produce a map of the residual topography-free (Bouguer) gravity disturbance | ||
for the entire area. | ||
1. Provide a brief initial interpretation of the map of residuals by comparing | ||
with the known surface geology. | ||
|
||
You will deliver a computational report (Jupyter notebook) that contains: | ||
|
||
* All of the code required to go from the raw data to the map of the residual | ||
disturbance. | ||
* Headings and subheadings to separate different sections. | ||
* Text **briefly** explaining the logic behind each processing step (what the | ||
code does and why). One or two sentences per processing step should be enough | ||
for this. | ||
* Figures (5 maximum) with the intermediate results of your processing (raw | ||
gravity, normal gravity, regional, etc). | ||
* Pseudo-color map of the residual Bouguer gravity. | ||
* Brief interpretation of the residual field (500 words maximum). | ||
* List of any references cited for the interpretation/background (use any style | ||
you like, as long as you're consistent). | ||
|
||
**Your submission should be a single Jupyter notebook (`.ipynb` file)** | ||
containing all of the above, not a PDF/HTML/DOC file. | ||
|
||
The report should look very similar to the notebooks we used for the practicals | ||
(use them for inspiration but **do not** copy text straight out of them). | ||
|
||
## Data | ||
|
||
All data required is in the following zip archive: | ||
[bushveld-surveys.zip](https://github.com/leouieda/gravity-processing/raw/22809b794e95982ca92f762d367843251afc8086/data/bushveld-surveys.zip) | ||
|
||
It contains: | ||
|
||
* CSV (comma separated value) files with the relative readings for each day of the survey. | ||
* A CSV file with the gravimeter scaling table used to convert readings to mGal. | ||
* A CSV file with the absolute gravity measurements at each of the base stations. | ||
* A README file with information about the surveys, data files, datum for coordinates, etc. | ||
|
||
Each survey starts and ends at the same base station but different surveys are | ||
tied to different base stations. You'll know which base station a survey used | ||
by looking at the station ID number at the beginning and end of the survey | ||
data. | ||
|
||
## Tips and pitfalls to avoid | ||
|
||
* Backup your notebooks, data, and report! | ||
* Start by processing only a single survey. When you have that working, then | ||
try using a `for` loop to process all surveys. | ||
* Don't put functions/code in separate files. Keep everything within the notebook. | ||
* Use the "Restart and run all cells" command in the "Kernel" menu to make sure | ||
your notebook runs correctly. This is what I'll be doing to check your | ||
submissions. | ||
* Put the text explaining a processing step before/after each step, not all | ||
together in a single place. | ||
* Add axis labels, titles, colorbars (with labels), to your figures. | ||
* Make sure the figures are legible and of an appropriate size. | ||
* Double check that your code runs from top to bottom (use "Restart and run | ||
all") before handing in your report. | ||
* Use meaningful variables names (`elevation` instead of `h`). | ||
* If you get an error, **read the error message** to find out what went wrong. | ||
Include the full error when asking a question. | ||
* If your code doesn't seem to work, **don't change the code until you know | ||
why** this happened and what you can do to fix it. Randomly changing the code | ||
and hoping it will work is a great way to waste your time. | ||
* Google search is your best friend. Answers from StackOverflow are generally | ||
good sources of information. | ||
* Read the marking rubric to make sure you fulfill all of the necessary | ||
requirements. | ||
|
||
## References | ||
|
||
Dhansay, T., Musekiwa, C., Ntholi, T., Chevallier, L., et al. (2017) South | ||
Africa's geothermal energy hotspots inferred from subsurface temperature and | ||
geology. South African Journal of Science. 113 (11/12). | ||
doi:[10.17159/sajs.2017/20170092](https://doi.org/10.17159/sajs.2017/20170092) |