Air Quality Monitoring and Pollutant Source Identification

Data & Analytics

Air Quality Monitoring and Pollutant Source Identification

Comprehensive air quality monitoring programs and advanced source apportionment studies that provide the foundational data needed to understand pollution patterns, identify emission sources, and support evidence-based air quality management decisions. We deliver scientifically rigorous monitoring and analytical services from ambient measurements to sophisticated receptor modeling.

Station 1 Mobile Unit PM NO₂ O₃ SO₂ Sensor Array Real-Time Data PM2.5 35 μg/m³ NO₂ 42 ppb O₃ 68 ppb SO₂ 8 ppb Source Attribution Traffic Industrial Fires Traffic Industrial Biomass N Wind Rose Trend Analysis

Evidence-Based Air Quality Intelligence

Understanding air quality begins with high-quality data. Comprehensive monitoring programs provide the foundational measurements needed to characterize pollution levels, identify trends, assess compliance with air quality standards, and evaluate the effectiveness of control strategies. Beyond simple concentration measurements, advanced source apportionment techniques—including receptor modeling, chemical mass balance, and positive matrix factorization—enable attribution of observed pollution to specific source categories. This source-specific intelligence is essential for prioritizing mitigation efforts, supporting air quality planning, and defending regulatory decisions with sound science.

Henddu's air quality monitoring and source identification services span the full spectrum from monitoring network design and instrument deployment to sophisticated data analysis and receptor modeling. Our team brings extensive experience with Federal Reference Methods (FRM), Federal Equivalent Methods (FEM), and advanced analytical techniques including ion chromatography, thermal-optical analysis, and X-ray fluorescence for speciated measurements. We design monitoring programs aligned with EPA's Quality Assurance requirements, implement rigorous QA/QC protocols, and apply state-of-the-art receptor models (PMF, CMB, UNMIX) to extract maximum value from monitoring data. Whether you need short-term monitoring for a specific study, long-term ambient surveillance, or forensic analysis to identify pollution sources impacting your community, we deliver actionable air quality intelligence.

Monitoring Design • Site Selection • Methods 1 Data Collection • Continuous • Filter Samples 2 Laboratory Analysis • Chemical • Speciation 3 QA/QC & Validation • Data Review • Verification 4 Source Apportionment • PMF / CMB • Attribution 5 Data Interpretation • Trends • Patterns 6 Reporting & Insights • Compliance • Action Plans 7 Stakeholder Engagement • Visualization • Public Info 8 Monitoring & Source Identification Workflow

Our Monitoring & Source ID Capabilities

Ambient Air Quality Monitoring

Deployment and operation of continuous analyzers and filter-based samplers for criteria pollutants (PM2.5, PM10, O3, NO2, SO2, CO) using EPA-approved FRM/FEM methods and full QA/QC protocols.

Chemical Speciation Analysis

Comprehensive filter analysis including ions (IC), elemental carbon/organic carbon (TOT), trace elements (XRF), and organic speciation to support source apportionment and health studies.

Source Apportionment Modeling

Advanced receptor modeling using EPA PMF 5.0, Chemical Mass Balance (CMB), and UNMIX to quantify contributions from traffic, industry, biomass burning, dust, and secondary formation.

Mobile & Portable Monitoring

Mobile monitoring units and low-cost sensor networks for spatial mapping, hotspot identification, community-scale assessments, and rapid response to pollution complaints.

Data Management & Visualization

Real-time data platforms with automated QC, regulatory reporting, trend analysis, exceedance alerts, and interactive dashboards for data exploration and stakeholder communication.

Regulatory Compliance Support

Monitoring network design per 40 CFR Part 58, AQS data submittal, annual network plans, PSD monitoring, permit condition compliance, and coordination with state/EPA reviewers.

Why Invest in Monitoring & Source Identification?

  • Obtain defensible air quality data that withstands regulatory and legal scrutiny
  • Identify specific pollution sources for targeted, cost-effective mitigation strategies
  • Demonstrate compliance with NAAQS, state standards, and permit conditions
  • Support air quality planning, attainment demonstrations, and SIP development
  • Quantify local versus transported pollution to inform control strategy prioritization
  • Establish baseline conditions for environmental impact assessments and before/after evaluations
  • Build community trust through transparent air quality monitoring and public data access
  • Enable early detection of air quality issues before they escalate to violations or health concerns

Our Monitoring & Analysis Approach

1

Program Design & Site Selection

We collaborate with you to define monitoring objectives, select representative monitoring locations using EPA's 40 CFR Part 58 Appendix E siting criteria, and design sampling protocols aligned with your study goals, budget, and regulatory requirements. Site surveys evaluate spatial representativeness, probe height, and potential interferences.

2

Instrumentation & Deployment

Deployment of EPA-approved monitoring equipment including FRM/FEM continuous analyzers, integrated filter samplers, meteorological stations, and data acquisition systems. Complete installation with proper shelters, utilities, security, and communication infrastructure. Implementation of comprehensive Quality Assurance Project Plans (QAPP).

3

Operations & Quality Assurance

Ongoing monitoring operations including routine calibrations, performance audits, preventive maintenance, and filter sample collection/chain-of-custody. Rigorous QA/QC following EPA's Quality Assurance Handbook and applicable QAPPs including precision/accuracy checks, blank analyses, and collocated sampling to ensure data quality objectives are met.

4

Data Analysis & Source Apportionment

Comprehensive data validation, statistical analysis, and application of receptor models (PMF, CMB) using speciated PM data to quantify source contributions. Analysis includes temporal trends, spatial patterns, meteorological influences, and comparison to air quality standards. Advanced techniques include back-trajectory analysis and conditional probability functions.

5

Reporting & Strategic Recommendations

Preparation of comprehensive data reports including QA/QC summaries, statistical analyses, source apportionment results, and regulatory comparisons. Development of actionable recommendations for emission control strategies, policy interventions, and air quality management. Interactive data visualizations and dashboards for ongoing stakeholder engagement.

Get Data-Driven Air Quality Intelligence

Partner with Henddu for scientifically rigorous air quality monitoring and source identification services that provide the evidence base for effective air quality management.

Request Monitoring Consultation