Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Stable isotope hydrology of the Table Mountain group

Rain was collected from 2010 to 2012 at 15 locations around the Cape Fold Belt, at the same time as samples from rivers, springs, seeps and boreholes, totalling 435 samples. Precipitation ranged from -75 ‰ to +40 ‰ for δD and -12 ‰ to +8 ‰ for δ¹⁸O , showing seasonal patterns, with lower δ values in...

Full description

Saved in:
Bibliographic Details
Main Author: Diamond, Roger Edward
Other Authors: Harris, Chris
Format: Thesis
Language:English
Published: Department of Geological Sciences 2016
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Rain was collected from 2010 to 2012 at 15 locations around the Cape Fold Belt, at the same time as samples from rivers, springs, seeps and boreholes, totalling 435 samples. Precipitation ranged from -75 ‰ to +40 ‰ for δD and -12 ‰ to +8 ‰ for δ¹⁸O , showing seasonal patterns, with lower δ values in winter and higher in summer. Certain anomalous δ values can be attributed to individual weather events, such as thunderstorms. Using weighted data, the meteoric water line is δD = 6.15 δ¹⁸O + 8.21, which is similar to previous equations. The best fit line for groundwater δ values is δD = 7.09 δ¹⁸O + 10.08, the steeper gradient and higher intercept reflecting the predominance of heavy rainfall events with lower δ values in recharge, known as selection. The range of -47 ‰ to 0 ‰ for δD and -8 ‰ to -1 ‰ for δ¹⁸O values for all groundwater data is about half that of the rain values, due to the averaging effect from mixing during groundwater flow. Rainfall isotope composition is negatively correlated with continentality, as defined by the product of distance to the Atlantic and the closest coast. Isotope composition of rainfall is also strongly negatively correlated with altitude. Sites that are elevated within the landscape have a reduced altitude effect, such as tall peaks, whereas mountain valleys display enhanced altitude effects. Temporal and spatial variations in the strength of the amount effect reveal meteorological variability and emphasise the need for long term monitoring.