Post on 24-Feb-2016
description
transcript
OAR Perspective on Air SensorsKristen BenedictNational Tribal Forum on Air Quality5/13/14
2
AgendaDefining SensorsState of Science/ExamplesOAR Perspective
◦Current Monitoring Requirements◦Potential Applications for Sensor
Data◦Challenges/Needs
Upcoming Conferences
3
SensorsTechnologies that include small
portable, low-cost devices
Assessing and supporting new technologyEmerging air monitoring systems (informal classification)
Group 1: Regulatory or regulatory-equivalent air monitoring stationsCost: 100Ks (in thousands), Data reliability = A+Group 2: Smaller-footprint monitoring systems for community screening and research studiesCost: 1-10Ks, Data reliability = B+ (target)Group 3: Very small, very low cost systems enabling dense sensor networks, citizen scienceCost: 0.1-1Ks, Data reliability = ?
existingemerging
4 (slide courtesy of Gayle Hagler)
5
State of Sensor MonitoringSensor technologies in research,
development, and evaluation stageSensor Evaluation Open HouseNo sensor technologies have applied for
Federal Equivalent Method (FEM) status
6
Evaluating performance
of sensorsDetermining applications
related to citizen scienceVillage Green ProjectDeveloping guidance
documents◦Draft Roadmap for Next
Generation Air Monitoring (NGAM)
◦Air Sensors Guidebook (June 2014)
Collaboration with Office of Research and Development (ORD)
7
Air Sensors: Examples
8
Air Sensors: Examples
9
Air Sensors: Examples
10
o Criteria Pollutants Federal Reference
Methods (FRM)/Federal Equivalent Methods (FEM)
o HAPs Guidance Materials by
Pollutant Class (e.g. VOCs)
o Source Testing Test Methods/Alternative
Test Methods
OAR Perspective – Current Monitoring Network Requirements
11
OAR Perspective – Potential Applications of Sensor Data
Informing Network Design◦ Locate monitor in high concentration areas◦ Determination of gradients
Permitting◦ Help understand background pollutant
concentrationsRisk assessment
◦ Characterization & ModelingProvide insight into near road
concentrations (NO2)
12
OAR Perspective – ChallengesData use, quality, and collectionDefining data quality and collection
needs for various users and applications
Limitations of sensors (e.g. readings at extreme meteorological conditions)
Interpretation of short term dataCommunication
Air Quality Index Levels of Health
ConcernNumerical
Value Meaning
Good 0 to 50 Air quality is considered satisfactory, and air pollution poses little or no risk
Moderate 51 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 Groups 101 to 150
Members of sensitive groups may experience health effects. The general public is not likely to be affected.
Unhealthy 151 to 200Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects.
Very Unhealthy 201 to 300Health warnings of emergency conditions. The entire population is more likely to be affected.
Hazardous 301 to 500 Health alert: everyone may experience more serious health effects
Messaging ChallengesAQI focuses on health effects experienced within a few hours or days
14
Research NeedsCollocation studies
Sensor monitoring technologies collocated with Federal Reference Method (FRM) instruments
Collection of data in areas without network monitors
15
Variable Provided by ManufacturerName of SensorSensor IDPollutantDate of Sensor OriginDate of MeasurementLatitude and LongitudeDuration of MeasurementUnitsBias and Precision ResultsMeteorological MeasurementsInterferentsMinimum Detection LimitPollutant Concentration RangeResponse Time
OAR Perspective –Brainstorming Collection Needs
16
OAR Perspective –Brainstorming Data Quality Objectives
Requirement NotesCalibration Collocation RequirementsBias and Precision Air Sensor Guidebook
RecommendationsData Completeness Ambient Monitoring Network
RequirementsSiting Requirements Proximity to buildings,
vegetation, etc.
17
Next StepsCase Study on Ozone
◦Define current monitoring requirements and use of monitoring data
◦ Interpretation and messaging of short term (e.g. 1-min data versus the 8-hour primary standard)
◦Data analysis (as needed)◦ Identify and describe potential applications for
sensor data◦Determine data quality/collection needs to
supplement monitoring data◦Provide outreach and guidance to citizens and
communities
18
ConferencesConference Date
NGAM Air Sensors 2014: A New Frontier
June 9-10, 2014
Environmental Measurement Symposium
August 4-8, 2014
National Ambient Air Monitoring Conference
August 11-14, 2014
19