Data analysis of the main pollutants in the Great London area using OpenAir library and public datasets provided by AURN

What We Breathe. Plotting pm2.5 around you. Have you ever wondered what it would be like if these particles were visible? We tried to give an answer.

This is a project that I made in collaboration with a team in the WeCanCode Hackathon, the main idea of this project is an App that helps you to find a city without pollution where you can travel. Backend:

Establishment of a Model to Define the Impact of Lombardy Region Citizens on PM2.5 Emissions During Their Daily Activities. The project aims to identify environmentally harmful actions and promote a more sustainable lifestyle through a ranking system of citizens. The model is based on the Z-Score Index.

New version of codes to calculate individual PCB air-water fluxes from IHSC, where data are available from Pangaea. This is part of Project 4 of the ISRP (https://iowasuperfund.uiowa.edu/).

Air quality for Birmingham

This repository allows you to replicate the results from the paper: Air pollution and cognitive productivity; evidence from court hearings published in the Scandinavian Journal of Economics

Um aplicativo construido em React Native para auxiliar indústrias no monitoramento de poluentes.

EBFNflora is a University Project for the Arduino Uno (ATmega328) to check plants environment. It's not developed in Arduino native language, but it was written in ANSI-C, for this very reason was pretty challenging. The embedded machine can check light quality, pollution and temperature using values set by user. ProgettoSistemiOperativi2017_2018

This Site will provide statistics related to climate change

Access and collect pollution data

PROYECTO FINAL CODERHOUSE - Data Science (Comisión 29800)

Measuring air quality with an Arduino and a JavaFX client

Uses the inquinapi to visualize data graphically

Being amidst a climate crisis and still a long way from achieving the UN's sustainable development goals (2030), analyzing most recently available pollution data is important for effective policy making. Exploratory data analyses, data cleaning, data transformation, and geographic visualizations have been demonstrated in this project.

the data was taken from the website: https://www.ceip.at/the-emep-grid/gridded-emissions/pm25 .The format used was: NetCDF format: 1990 to 2020

Aerum uses the IQAir API to fetch accurate weather and pollution data to keep the end user informed of their air quality (AQI) and their main pollutant around them, along with normal weather data. Also uses google maps API to show their location on a map.

LPM standalone map index finder.

This is a mockup of an air pollution website I set up. You can download the files and open up index.html to navigate.

The overall goal of this project is to explore the National Emissions Inventory database and see what it say about fine particulate matter pollution in the United states over the 10-year period 1999–2008.