This is metadata documentation for the Quality Assurance Tracking System - R7, an EPA Region 7 resource that tracks information on quality assurance reviews. Also called the QA Tracking System-R7 or QATS-R7. The reviews are completed under the Environmental Services (ENSV) Divsion at EPA Region 7.

Reporting units of sample results [where 1 picoCurie (pCi) = 1 trillionth (1E-12) Curie (Ci)]: • Air Samples are reported in pCi/m³. Data Quality Disclaimer: This database is for informational use and is not a controlled quality database. Efforts have been made to ensure accuracy of data in the database; however, errors and omissions may occur. Examples of potential errors include: • Data entry errors. • Lab results not reported for entry into the database. • Missing results due to equipment failure or unable to retrieve samples due to lost or environmental hazards. • Translation errors – the data has been migrated to newer data platforms numerous times, and each time there have been errors and data losses. Error results are the calculated uncertainty for the sample measurement results and are reported as +/-. Environmental Sample Records are from the year 1998 until present. Prior to 1998 results were stored in hardcopy, in a non-database format. Requests for results from samples taken prior to 1998 or results subject to quality assurance are available from archived records and can be made through the DEEP Freedom of Information Act (FOIA) administrator at deep.foia@ct.gov. Information on FOIA requests can be found on the DEEP website. FOIA Administrator Office of the Commissioner Department of Energy and Environmental Protection 79 Elm Street, 3rd Floor Hartford, CT 06106

A comprehensive Quality Assurance (QA) and Quality Control (QC) statistical framework consists of three major phases: Phase 1—Preliminary raw data sets exploration, including time formatting and combining datasets of different lengths and different time intervals; Phase 2—QA of the datasets, including detecting and flagging of duplicates, outliers, and extreme values; and Phase 3—the development of time series of a desired frequency, imputation of missing values, visualization and a final statistical summary. The time series data collected at the Billy Barr meteorological station (East River Watershed, Colorado) were analyzed. The developed statistical framework is suitable for both real-time and post-data-collection QA/QC analysis of meteorological datasets.The files that are in this data package include one excel file, converted to CSV format (Billy_Barr_raw_qaqc.csv) that contains the raw meteorological data, i.e., input data used for the QA/QC analysis. The second CSV file (Billy_Barr_1hr.csv) is the QA/QC and flagged meteorological data, i.e., output data from the QA/QC analysis. The last file (QAQC_Billy_Barr_2021-03-22.R) is a script written in R that implements the QA/QC and flagging process. The purpose of the CSV data files included in this package is to provide input and output files implemented in the R script.

The Environmental Protection Agency (EPA) provides air pollution data about ozone and particulate matter (PM2.5) to CDC for the Tracking Network. The EPA maintains a database called the Air Quality System (AQS) which contains data from approximately 4,000 monitoring stations around the country, mainly in urban areas. Data from the AQS is considered the "gold standard" for determining outdoor air pollution. However, AQS data are limited because the monitoring stations are usually in urban areas or cities and because they only take air samples for some air pollutants every three days or during times of the year when air pollution is very high. CDC and EPA have worked together to develop a statistical model (Downscaler) to make modeled predictions available for environmental public health tracking purposes in areas of the country that do not have monitors and to fill in the time gaps when monitors may not be recording data. This data does not include "Percent of population in counties exceeding NAAQS (vs. population in counties that either meet the standard or do not monitor PM2.5)". Please visit the Tracking homepage for this information.View additional information for indicator definitions and documentation by selecting Content Area "Air Quality" and the respective indicator at the following website: http://ephtracking.cdc.gov/showIndicatorsData.action

This United States Environmental Protection Agency (US EPA) feature layer represents monitoring site data, updated hourly concentrations and Air Quality Index (AQI) values for the latest hour received from monitoring sites that report to AirNow.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.About the AQIThe Air Quality Index (AQI) is an index for reporting daily air quality. It tells you how clean or polluted your air is, and what associated health effects might be a concern for you. The AQI focuses on health effects you may experience within a few hours or days after breathing polluted air. EPA calculates the AQI for five major air pollutants regulated by the Clean Air Act: ground-level ozone, particle pollution (also known as particulate matter), carbon monoxide, sulfur dioxide, and nitrogen dioxide. For each of these pollutants, EPA has established national air quality standards to protect public health. Ground-level ozone and airborne particles (often referred to as "particulate matter") are the two pollutants that pose the greatest threat to human health in this country.A number of factors influence ozone formation, including emissions from cars, trucks, buses, power plants, and industries, along with weather conditions. Weather is especially favorable for ozone formation when it’s hot, dry and sunny, and winds are calm and light. Federal and state regulations, including regulations for power plants, vehicles and fuels, are helping reduce ozone pollution nationwide.Fine particle pollution (or "particulate matter") can be emitted directly from cars, trucks, buses, power plants and industries, along with wildfires and woodstoves. But it also forms from chemical reactions of other pollutants in the air. Particle pollution can be high at different times of year, depending on where you live. In some areas, for example, colder winters can lead to increased particle pollution emissions from woodstove use, and stagnant weather conditions with calm and light winds can trap PM2.5 pollution near emission sources. Federal and state rules are helping reduce fine particle pollution, including clean diesel rules for vehicles and fuels, and rules to reduce pollution from power plants, industries, locomotives, and marine vessels, among others.How Does the AQI Work?Think of the AQI as a yardstick that runs from 0 to 500. The higher the AQI value, the greater the level of air pollution and the greater the health concern. For example, an AQI value of 50 represents good air quality with little potential to affect public health, while an AQI value over 300 represents hazardous air quality.An AQI value of 100 generally corresponds to the national air quality standard for the pollutant, which is the level EPA has set to protect public health. AQI values below 100 are generally thought of as satisfactory. When AQI values are above 100, air quality is considered to be unhealthy-at first for certain sensitive groups of people, then for everyone as AQI values get higher.Understanding the AQIThe purpose of the AQI is to help you understand what local air quality means to your health. To make it easier to understand, the AQI is divided into six categories:Air Quality Index(AQI) ValuesLevels of Health ConcernColorsWhen the AQI is in this range:..air quality conditions are:...as symbolized by this color:0 to 50GoodGreen51 to 100ModerateYellow101 to 150Unhealthy for Sensitive GroupsOrange151 to 200UnhealthyRed201 to 300Very UnhealthyPurple301 to 500HazardousMaroonNote: Values above 500 are considered Beyond the AQI. Follow recommendations for the Hazardous category. Additional information on reducing exposure to extremely high levels of particle pollution is available here.Each category corresponds to a different level of health concern. The six levels of health concern and what they mean are:"Good" AQI is 0 to 50. Air quality is considered satisfactory, and air pollution poses little or no risk."Moderate" AQI is 51 to 100. Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people. For example, people who are unusually sensitive to ozone may experience respiratory symptoms."Unhealthy for Sensitive Groups" AQI is 101 to 150. Although general public is not likely to be affected at this AQI range, people with lung disease, older adults and children are at a greater risk from exposure to ozone, whereas persons with heart and lung disease, older adults and children are at greater risk from the presence of particles in the air."Unhealthy" AQI is 151 to 200. Everyone may begin to experience some adverse health effects, and members of the sensitive groups may experience more serious effects."Very Unhealthy" AQI is 201 to 300. This would trigger a health alert signifying that everyone may experience more serious health effects."Hazardous" AQI greater than 300. This would trigger a health warnings of emergency conditions. The entire population is more likely to be affected.AQI colorsEPA has assigned a specific color to each AQI category to make it easier for people to understand quickly whether air pollution is reaching unhealthy levels in their communities. For example, the color orange means that conditions are "unhealthy for sensitive groups," while red means that conditions may be "unhealthy for everyone," and so on.Air Quality Index Levels of Health ConcernNumericalValueMeaningGood0 to 50Air quality is considered satisfactory, and air pollution poses little or no risk.Moderate51 to 100Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution.Unhealthy for Sensitive Groups101 to 150Members of sensitive groups may experience health effects. The general public is not likely to be affected.Unhealthy151 to 200Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects.Very Unhealthy201 to 300Health alert: everyone may experience more serious health effects.Hazardous301 to 500Health warnings of emergency conditions. The entire population is more likely to be affected.Note: Values above 500 are considered Beyond the AQI. Follow recommendations for the "Hazardous category." Additional information on reducing exposure to extremely high levels of particle pollution is available here.

Storage and Retrieval for Water Quality Data (STORET and the Water Quality Exchange, WQX) defines the methods and the data systems by which EPA compiles monitoring data (typically water quality data, but not exclusively water quality data) that are collected by a number of entities. This dataset represents the monitoring locations contained within the STORET Data Warehouse, or put another way, the point locations of where data providers to the STORET Data Warehouse have performed water monitoring activities such as water sampling or taking field measurements. The dataset's locations are based on the latitude and longitude that the source data owner submitted to the STORET Data Warehouse. EPA has not performed Quality Assurance as to the accuracy of the latitudes and longitudes; this dataset provides the locations based on the data provided by the data owner.

Overview of the quality assurance and quality control that supports the data analysis across all papers. This dataset is associated with the following publication: Batt , A., E. Furlong, H. Mash , S. Glassmeyer , and D. Kolpin. The importance of quality control in validating concentrations of contaminants of emerging concern in source and treated drinking water samples.. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 579: 1618-1628, (2017).

The Interagency Ecological Program’s (IEP) Environmental Monitoring Program (EMP) was initiated in compliance with the Water Right Decision D-1379 (now mandated by Water Right Decision D-1641) and has monitored discrete water quality and nutrients in the upper San Francisco Estuary since 1975. The objectives of the EMP are to obtain consistent and accurate monthly data at established monitoring stations, provide and document information necessary to achieve compliance with salinity, flow, and dissolved oxygen standards, and to report this information for the purpose of management and conservation of the upper San Francisco Estuary. While the EMP also collects biological data, this dataset only includes the discrete water quality and nutrient data collected by the EMP from 1975-2021. Links to other EMP datasets can be found here.

Data is also accessible via the Environmental Data Initiative.

This United States Environmental Protection Agency (US EPA) feature layer represents site data, updated hourly concentrations and Air Quality Index (AQI) values for the last 24 hours received from each monitoring site that reports to AirNow. The values are for Particulate Matter (PM2.5) only.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.

Minnesota Pollution Control Agency (MPCA) surface water monitoring station locations, including lake, stream, biological and discharge. Locations of United States Geological Survey (USGS) stream flow stations are also included. This data set was created as part of MPCA's Environmental Data Access project, which was designed to provide internet access to MPCA's surface water monitoring data. The data set contains locational data and limited attributes for all MPCA stream chemistry stations, MPCA lake monitoring stations, MPCA stream biology stations, MPCA permitted dischargers [National Pollutant Discharge Elimination System (NPDES) permits], and (locations only) of USGS stream flow stations. MPCA lake and stream monitoring stations are the same stations found in MPCA's EQuIS database.

Overview The Quality Assurance Oversight Team (QAOT) is responsible for providing guidance on, and evaluating the implementation of, the Comprehensive Everglades Restoration Plan (CERP) Quality Systems through the Quality Assurance Systems Requirements (QASR) and CERP Guidance Memorandum (CGMs). This responsibility includes developing and providing guidance on procedures, QA/QC requirements and data validation for CERP monitoring activities. The QAOT is the forum to develop consistency regarding data quality and QA/QC processes among the various entities involved with hydrological, meteorological, water quality, and biological monitoring activities for CERP. Purpose This memorandum provides guidance to the staff of the Jacksonville District, U.S. Army Corps of Engineers (USACE), South Florida Water Management District (SFWMD), members of the Program [including REstoration, COordination, and VERification (RECOVER)] and Project Delivery Teams (PDTs) on the establishment and administration of a Quality Assurance (QA)/Quality Control (QC) and Data Validation program for Comprehensive Everglades Restoration Plan (CERP) environmental data. In addition to providing guidance, other responsibilities of the QAOT include: Develop and implement data review criteria and quality assessment procedures. Standardize electronic data deliverables. Establish Standard Operating Procedures (SOPs) when they do not exist. Oversee the approval process for alternative procedures for sampling and analysis as described in the QASR. Implement a QA audit program for CERP monitoring activities. Oversee the laboratory and field comparison studies program to assess consistency and comparability among agencies involved in CERP monitoring activities. Produce a QA report on CERP monitoring activities on a biennial basis, evaluating whether the QASR is being implemented by CERP projects and programs and/or their contractors. Review and provide guidance in the development of QA/QC procedures in Scopes of Work and Monitoring Plans for CERP projects and programs. Review program and project-level monitoring plans and scopes of work to ensure all required QA/QC protocols are addressed. Familiarize Project Delivery Teams (PDTs) and programs (such as RECOVER) with the requirements of the QASR. Provide guidance, if requested, for data quality objectives to PDTs and programs. Coordinate and/or Facilitate Relevant Workshops, Meetings and Coordination Activities Prepare and Update the Program Management Plan Provide a Link between QAOT and DCT QAOT Document Control QASR Preparation and Updates CGM Development and Updates Related to QAOT

This data set includes results for hormone and pharmaceutical compounds analyzed from 2012 through 2016 in laboratory quality-control samples that are associated with environmental samples collected by the National Water-Quality Assessment (NAWQA) Project during 2013 through 2015 for a study of groundwater resources used for drinking-water supply across the United States. Hormone and pharmaceutical results are provided for laboratory set blanks and reagent spikes analyzed during a time period that encompasses laboratory analysis of the environmental samples collected by NAWQA. This data release includes: Table 1. Hormone results for laboratory set blanks, December 18, 2012 through March 7, 2016. Table 2. Pharmaceutical results for laboratory set blanks, December 14, 2012 through March 4, 2016. Table 3. Hormone results for laboratory reagent spikes, June 17, 2013 through December 11, 2015. Table 4. Pharmaceutical results for laboratory reagent spikes, June 18, 2013 through October 1, 2015.

In 2018, groundwater samples were collected from aquifers in the Williston Basin in parts of eastern Montana, western North Dakota, and northwestern South Dakota. This dataset includes quality-control data for volatile organic compounds that include data for source-solution blanks and field blanks. The dataset also includes data for sulfur hexafluoride in environmental samples of groundwater.

Additional file 3: Example of report formatting request to send to the lab.

The Environmental Department releases river water quality monitoring data, including River Pollution Index (RPI) and monitored values of major pollutants. Due to the need for monthly on-site sampling, laboratory testing and data quality control procedures, monitoring data is usually provided every other month.

Air Quality Control System Market Outlook

According to our latest research, the global Air Quality Control System market size reached USD 102.4 billion in 2024 and is projected to grow at a robust CAGR of 6.7% during the forecast period. By 2033, the market is expected to reach USD 184.1 billion, driven by stringent environmental regulations, rapid urbanization, and increasing industrialization worldwide. The demand for advanced air pollution control technologies and the adoption of sustainable practices across key industries are significant growth factors shaping the air quality control system market landscape.

The primary growth driver for the air quality control system market is the implementation of stringent environmental regulations and policies across various regions. Governments and regulatory bodies, such as the US Environmental Protection Agency (EPA), the European Environment Agency (EEA), and similar organizations in Asia Pacific, are enforcing strict emission standards to curb air pollution from industrial, commercial, and residential sources. These regulations require industries to adopt advanced air quality control solutions—including electrostatic precipitators, scrubbers, and baghouse filters—to meet compliance standards. The growing awareness regarding the adverse health impacts of air pollution, such as respiratory diseases and cardiovascular problems, further accentuates the need for effective air quality control systems. As a result, industries are increasingly investing in state-of-the-art pollution abatement technologies to ensure regulatory compliance and protect public health.

Another significant factor propelling market growth is rapid industrialization and urbanization, particularly in emerging economies such as China, India, and Southeast Asian countries. These regions are witnessing a surge in manufacturing activities, power generation, and infrastructure development, all of which contribute to elevated levels of air pollutants. The expansion of industries such as cement, chemicals, iron & steel, and automotive has resulted in higher emissions of particulate matter, nitrogen oxides (NOx), sulfur oxides (SOx), and volatile organic compounds (VOCs). As industries scale up their operations, the demand for efficient air quality control systems is rising to mitigate the environmental impact and improve workplace safety. Additionally, the increasing adoption of clean technologies and energy-efficient solutions is fostering innovation in the air quality control system market, leading to the development of more effective and sustainable products.

Technological advancements and the integration of smart monitoring solutions are further accelerating the evolution of the air quality control system market. The advent of Industry 4.0 and the Internet of Things (IoT) has enabled real-time monitoring and data-driven management of air quality across industrial facilities. Modern air quality control systems now feature advanced sensors, automation, and predictive maintenance capabilities, allowing end-users to optimize system performance, reduce operational costs, and ensure regulatory compliance. The growing trend of digitalization in industrial processes is not only enhancing system efficiency but also contributing to the overall sustainability of industrial operations. This technological shift is expected to create new growth opportunities for market players, especially those offering integrated and intelligent air quality management solutions.

From a regional perspective, Asia Pacific dominates the global air quality control system market, accounting for the largest revenue share in 2024. The region’s leadership is attributed to its rapid industrial expansion, large-scale infrastructure projects, and increasing government initiatives to tackle air pollution. North America and Europe also represent significant markets, driven by advanced regulatory frameworks, high environmental awareness, and continuous investments in clean technologies. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets due to growing industrial activities and rising environmental concerns. The regional dynamics are expected to evolve further as governments and industries worldwide prioritize air quality improvement and sustainable development.

IntroductionWhile crucial to ensuring the production of accurate and high-quality data—and to avoid erroneous conclusions—data quality control (QC) in environmental monitoring datasets is still poorly documented.MethodsWith a focus on annual inter-laboratory comparison (ILC) exercises performed in the context of the French coastal monitoring SOMLIT network, we share here a pragmatic approach to QC, which allows the calculation of systematic and random errors, measurement uncertainty, and individual performance. After an overview of the different QC actions applied to fulfill requirements for quality and competence, we report equipment, accommodation, design of the ILC exercises, and statistical methodology specially adapted to small environmental networks (

The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Water quality data can be downloaded in Excel, CSV, TSV, and KML formats. Fourteen site types are found in the WQP: aggregate groundwater use, aggregate surface water use, atmosphere, estuary, facility, glacier, lake, land, ocean, spring, stream, subsurface, well, and wetland. Water quality characteristic groups include physical conditions, chemical and bacteriological water analyses, chemical analyses of fish tissue, taxon abundance data, toxicity data, habitat assessment scores, and biological index scores, among others. Within these groups, thousands of water quality variables registered in the EPA Substance Registry Service (https://iaspub.epa.gov/sor_internet/registry/substreg/home/overview/home.do) and the Integrated Taxonomic Information System (https://www.itis.gov/) are represented. Across all site types, physical characteristics (e.g., temperature and water level) are the most common water quality result type in the system. The Water Quality Exchange data model (WQX; http://www.exchangenetwork.net/data-exchange/wqx/), initially developed by the Environmental Information Exchange Network, was adapted by EPA to support submission of water quality records to the EPA STORET Data Warehouse [USEPA, 2016], and has subsequently become the standard data model for the WQP. Contributing organizations: ACWI The Advisory Committee on Water Information (ACWI) represents the interests of water information users and professionals in advising the federal government on federal water information programs and their effectiveness in meeting the nation's water information needs. ARS The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief in-house scientific research agency, whose job is finding solutions to agricultural problems that affect Americans every day, from field to table. ARS conducts research to develop and transfer solutions to agricultural problems of high national priority and provide information access and dissemination to, among other topics, enhance the natural resource base and the environment. Water quality data from STEWARDS, the primary database for the USDA/ARS Conservation Effects Assessment Project (CEAP) are ingested into WQP via a web service. EPA The Environmental Protection Agency (EPA) gathers and distributes water quality monitoring data collected by states, tribes, watershed groups, other federal agencies, volunteer groups, and universities through the Water Quality Exchange framework in the STORET Warehouse. NWQMC The National Water Quality Monitoring Council (NWQMC) provides a national forum for coordination of comparable and scientifically defensible methods and strategies to improve water quality monitoring, assessment, and reporting. It also promotes partnerships to foster collaboration, advance the science, and improve management within all elements of the water quality monitoring community. USGS The United States Geological Survey (USGS) investigates the occurrence, quantity, quality, distribution, and movement of surface waters and ground waters and disseminates the data to the public, state, and local governments, public and private utilities, and other federal agencies involved with managing the United States' water resources. Resources in this dataset:Resource Title: Website Pointer for Water Quality Portal. File Name: Web Page, url: https://www.waterqualitydata.us/ The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Links to Download Data, User Guide, Contributing Organizations, National coverage by state.

The global Environmental Monitoring Big Data System market is experiencing robust growth, projected to reach $21.73 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 7.5% from 2025 to 2033. This expansion is fueled by several key factors. Increasing government regulations aimed at improving environmental protection and stringent emission control standards are driving the adoption of sophisticated monitoring systems. Furthermore, the rising awareness of environmental pollution and its impact on public health is pushing for more comprehensive and real-time data collection and analysis. Technological advancements, such as the development of more efficient and cost-effective sensors, improved data analytics capabilities, and the increasing availability of high-speed internet connectivity, are further accelerating market growth. The segment breakdown reveals strong demand across various applications, with environmental protection, water resource management, and municipal monitoring leading the way. Atmospheric monitoring and water ecological environment monitoring are prominent within the types segment. The competitive landscape is marked by a mix of established players like Hach, WTW, and Thermo Fisher Scientific, and emerging technology providers, indicating a dynamic and innovative market. Growth is expected across all regions, with North America and Europe maintaining significant market shares due to robust regulatory frameworks and advanced infrastructure. However, Asia Pacific is poised for rapid expansion driven by increasing industrialization and urbanization, particularly in countries like China and India. The continued growth trajectory of the Environmental Monitoring Big Data System market is anticipated to be driven by the increasing need for proactive environmental management and the development of more sophisticated, AI-powered predictive analytics tools. This will enable more accurate forecasting of environmental events, allowing for timely intervention and mitigation strategies. Furthermore, the integration of IoT (Internet of Things) devices into monitoring networks will contribute to the collection of larger and more granular data sets, enhancing the accuracy and effectiveness of environmental assessments. The market will also likely witness the emergence of new business models, such as environmental data-as-a-service, catering to the growing demand for accessible and readily interpretable environmental insights. The increasing adoption of cloud-based solutions will also simplify data management and improve scalability for businesses of all sizes.

1. The basic information of the national air quality monitoring stations set up by the Environmental Protection Department; including station name, station category, coordinates, address, etc. 2. Station location map layer, packaged as a SHP layer in a zip file, including DBF, SHP, SHX and other geographic data, for the geographic information system to be mapped.