This is the lab class material for the 2019 Hydrology course of the University of Trento. Most of the material is in Italian. The more traditional part of lectures can be found at the following link.
Go to the Lectures
There is no engineering without using models. During the class will be used various open source softwares and resources:
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Python resources for hydrologists
2019-03-08
2019-03-15
2019 -05-24 - Lab work on infiltration (Richards 1d)
2019-06- XXXX -2D Richards simulations and runoff production
Go to the Lectures
Used Software
- Python 3.* within Jupyterlab for scripting, and in particular the numpy, scipy, matplotlib and pandas es.
- Colaboratory and your google drive at University.
- Zenodo for the uploading of your final work.
- Docker , a tool designed to make it easier to create, deploy, and run applications by using containers (to see what it means, go here).
- Part of the GEOframe system for the various simulations
Lab Classes and Lectures
Python resources for hydrologists
2019-03-08
2019-03-15
2019-03-22
- L - Reading an Excel File (Notebook, Data I, Data II, YouTube Live Video)
- Explorative data analysis and Simple statistics with Python's Pandas (YouTubeLive 2019)
- Reading a CSV file with PANDAS (YouTubeLive 2019)
- Plot data in a dataframe (YouTubeLive2019)
- Further Readings (Optional)
- Gaussian Distribution
- Where to find the data for your exercise
- Exercise by students
- Downloads stations data
- Draw A Gumbel curve following the examples of the Gaussian distribution
- Central Limit Theorem Illustrated
- Gamma Distribution
- Estimation of Extreme Precipitation with Python
- Exercise: Select randomly from a Gumbel distribution and empirically shows the effects of the central limit theorem.
- For estimating the Gumbel distribution parameters:
- Pearson's Tests (YouTubeLive2019)
- Estimating the intensity-duration-frequency curves (YouTubeLive2019)
2019-05 -19 - OMS and GEOframe
- Installations (Following the previous link a complete description). You have to Install:
- Java 8 JDK. Recently preferred site. Other information about here.
- Docker (Windows 10, Mac OSX, Ubuntu)
- OMS3 Console 3.6.2
- Introduction to the Object Modelling System (The manual chapter here, YouTube 2019)
- The Working Environment (The manual chapter here, YouTube 2019)
- The .sim files (The manual chapter here, YouTube 2019)
- GEOframe (YouTube 2019 Video)
- Working with GEOFRAME as a User (YouTube)
- Examples (All the material in the .zip files. Notebooks in /docs folder)
- ex_00 (zip files)
- Further examples can be found at the Winter School 2019 pages (in English) with videos.
- Richards 1d material: Downloading the material at the Github place you get also the documentation. The presentation in /Materials. The Notebook are in the directory /Jupyter_Notebook. Look first at the Notebook "README"
- Github place
- Further installations (netcdf and bokeh) YouTubeLive2019
- Richards 1d. (YouTube2018)
- Quick start information (YouTube2018)
- Same information as above 2 points in a unique piece. (YouTube 2019)
- Soil Water Retention Curves (Jupyter Notebook)
- Hydraulic Conductivity(Jupyter Notebook)
- GEOframe blog documentation (not yet included on Github)
2019-05 XXXX - Estimation of radiation in a point with GEOframe tools.
2019-05 -XXXX - Evaporation and transpiration- Reading and analysing GEOFRAME radiation i/o files
- Reading a OMS-GEOframe file
- Github (Shortwave, Longwave, Clearness Index, NetRadiation)
- GEOframe (Shortwave, Longwave, Clearness Index, netRadiation)
- Other material and readings
- Reading and analyzing the outputs
- Estimating evaporation in a point using GEOframe ET
- Estimating transpiration in a point using GEOframe ET
- Github
- Other material and readings
- Python notebooks
- Implementing a 2D simulation with Richards
- Github
- Other material and readings
- Python notebooks