thesis:reservoirsexist

Problem statement:

The conventional classification of standing water bodies into broad categories such as „lake“ and „reservoir“ serves as a fundamental framework for understanding human hydrological influence. However, these categorical distinctions often oversimplify the complex spectrum of variations within each group. For instance, the term „reservoir“ encompasses a wide range of water bodies, from those minimally affected by water level regulation due to a dam to those entirely created by human intervention.

The aim of the work:

To use a wide range of continuous and discrete metrics to capture human hydrological influence on waterbodies. Then, use these metrics to predict ecological variation across water bodies using publicly available datasets to see which perform best in terms of their capacity to explain differences across lakes in their ecological properties.

Method:

Data compilation, database creation, and data analysis.

Supervisor:

Benjamin Kraemer

Contact:

Benjamin Kraemer benjamin.kraemer@hydrology.uni-freiburg.de Tel. +49 (0)176 / 3014 1903

Challenge:

Experience with (or eagerness to learn) machine learning, data analysis, and visualization in R.

Language:
  • thesis/reservoirsexist.txt
  • Zuletzt geändert: 2024/01/25 14:56
  • von b.kraemer