description
Infiltrating water for thirsty ground

Water Box

Development tools:

{% hint style="info" %} Language: Python 3.7.4

Software: OpenGrADS

Libraries: Pygrads, Numpy, Scipy, PIL, Matplotlib, Basemap, Ipython, Pandas {% endhint %}

What is the Earth Desertification Problem?

The desertification can be preliminarily understood as a set of phenomena that lead certain areas to become deserts or resemble them.

What will our project provide?

We aim to provide a prioritization basis for promoting vegetation recovery and conservation actions, as well as optimizing processes such as water infiltration into the soil and promoting better storage and consequent water availability in the region.

How many simplified steps do we need to provide this?

Data Mining
Data Analysis
Data Correlation
Risk Areas Ranking
Finding Optimal Solution Implementation Area
Green Infrastructure Choosing

Where has the dataset been found?

The link below contains the utilized datasets and those respective APIs:

Distributed Active Archive Center (DAAC) APIs

The datasets instances looks like these images below:

How the data gathering and green infrastructures could be integrated in a unique solution?

It is a simple concept which follows the steps mentioned before. First we collect the raw data from NASA's databases, after that this data will go through a "pipeline". The basic function of that pipeline is to gather diferent types of data indexes and combine them to create a new index. Our challenge for the next step is to rank the areas with most desertification risk. Using that information we can priorize some places. Finally when a region is selected, the tool will provide the best place in a determinated radius to implement a green infrastructure. It's important to say here that our tool doesn't determinate the best green infrastructure, instead it shows a point within the radius in which such infrastructure will provide the best results on the desertified area, based in the data.

The index calculation

Based in the indexes collected from databases we write a math equation to calculate the desertification index

Desertification Index (DI): (ghland*runoff*tsoil1*twlt) / (grn*gwetprof*qinfil*tsoil6)

Variables that contributes to increase desertification:

ghland: soil heat
runoff: soil water flow
tsoil: superficial soil temperature
twlt: surface temperature of wilted zone

Variables that contributes to decrease desertification:

evptrns: transpiration energy flow
evpsoil: exposed soil evaporation energy flow
grn: green fraction
gwetprof: soil humidity
qinfil: soil water infiltration ratio
tsoil6: deep soil temperature

AndreArantes/waterbox