Dataverzoek
- Titel:
- Request for Historical Climate and Air Quality Data for Utrecht for Academic Research
- Aangevraagde data:
- I am seeking daily historical data for Utrecht, including both climate and air quality parameters, for academic research. Specifically, I need data fields such as NO₂, O₃, PM2.5, PM10, average temperature, minimum and maximum temperature, precipitation, snow, wind direction, wind speed, air pressure, humidity, UV levels, and sunshine duration. This data will be used to develop a machine learning model to forecast NO₂ and O₃ levels over the next three days. The time frame should cover a daily interval for a specified period between 1st January 2018 - Current date. I require this data to be in the form of an API which is updated daily to create the most accurate model possible.
- Aangevraagde formaat:
- CSV
- Aangevraagde periode:
- 01-01-2018 tot 10-09-2024
- Gebruik:
- The purpose of my data request is to use the historical climate and air quality data for Utrecht in an academic project at the University of Groningen. Specifically, I will use this data to develop a machine learning model aimed at forecasting air pollution levels (NO₂ and O₃) over a 3-day period. The model will analyze the relationship between weather conditions and pollution levels to predict future pollution trends, helping to understand and mitigate environmental impacts. This is for educational purposes as part of the "Machine Learning for Industry" course.
- Impact:
- The availability of this data will have several key impacts:
Enhanced Research and Education: It will enable students and researchers to develop more accurate machine learning models, improving understanding of how weather conditions influence air pollution levels.
Improved Air Quality Forecasting: By making the data available, predictive models for NO₂ and O₃ can be refined, helping authorities and the public anticipate and mitigate air pollution, leading to better public health and environmental outcomes.
Informed Decision-Making: The data will support evidence-based decisions for policymakers, city planners, and environmental agencies in Utrecht, promoting strategies to reduce pollution and manage urban air quality.
Contributing to Open Science: Sharing this data can encourage collaboration and knowledge-sharing, advancing the broader scientific understanding of climate and pollution dynamics.
These impacts will benefit not only academic institutions but also society at large by fostering solutions for a cleaner and healthier environment.
