AboutHydrology: The Hydrology Lab Class 2019

Saturday, May 25, 2019

The Hydrology Lab Class 2019

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

Used Software

There is no engineering without using models. During the class will be used various open source softwares and resources:

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

All these resources are free, besides being open. For installations requirements, please see the GEOframe winter school material here. For understanding a little more about this material, please look at "Getting started with Docker OMS and Jupyterlab" post.

Lab Classes and Lectures

Python resources for hydrologists

2019-03-08

L - Introducing Jupyterlab and Jupyter scripting

The very elementary notebook made in class (YouTube Live Video).

2019-03-15

L - A little of Python in Jupyter lab

2019-03-22

L - Reading an Excel File (Notebook, Data I, Data II, YouTube Live Video)

2019- 06-06 - Exercise with Python

Explorative data analysis and Simple statistics with Python's Pandas (YouTubeLive 2019)

Reading a CSV file with PANDAS (YouTubeLive 2019)

Pluviometria Paperopoli

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

2019 - 05-10 Lab Work on Precipitation extremes

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)

Docker related information for OMS

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.

2019 -05-24 - Lab work on infiltration (Richards 1d)

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"