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AQS Data Mart Entity Relationship Diagrams This document provides and overview of how the AQS Data Mart was modeled and describes the structure so that users are more able to design and optimize queries.
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What is aqs data mart model?
The AQS Data Mart Model is a data model that defines the structure and organization of data in the Air Quality System (AQS) Data Mart. It provides a standardized framework for storing, organizing, and accessing air quality data collected from monitoring stations across the country.
Who is required to file aqs data mart model?
The AQS Data Mart Model is not something that is filed. It is a data model used by the Environmental Protection Agency (EPA) to store and access air quality data. However, stakeholders such as state and local agencies, environmental researchers, and policy makers may use the AQS Data Mart Model to analyze and report air quality data.
How to fill out aqs data mart model?
The AQS Data Mart Model is not something that is filled out by individuals or organizations. It is a data model used by the EPA to structure and organize air quality data collected from monitoring stations. Data is collected and entered into the AQS system, which then automatically populates the AQS Data Mart Model.
What is the purpose of aqs data mart model?
The purpose of the AQS Data Mart Model is to provide a standardized framework for storing, organizing, and accessing air quality data. It allows users to easily query and analyze air quality data collected from monitoring stations across the country. The AQS Data Mart Model helps facilitate data-driven decision making and supports research, policy development, and regulatory compliance.
What information must be reported on aqs data mart model?
The AQS Data Mart Model includes various tables and fields to store different types of air quality data. Some examples of information that may be reported on the AQS Data Mart Model include pollutant concentrations, monitoring station locations, meteorological data, and information about monitoring equipment and operations.
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