Left Navigation Bar
SBIR-Related Needs
Project Status
Literature Searches
Technology Focus

Top Navigation Bar About the Technology Innovation ProgramU.S. Environmental Protection Agency
curve, top leftcurve, top right
UV DOAS animation
Open Path Measurement Systems Home

> Introduction
> Basic Operation
> Chemical Detection
> Demonstrated Uses in Environmental and Industrial Settings
> Experimental and Potential Uses in Environmental and Industrial Settings
> Environmental Technology Verification Program
> References
curve, top right


Differential optical absorption spectroscopy (DOAS) uses the unique absorption of specific electromagnetic energy wave lengths by chemicals in the ultra violet (UV), visible (V), and near infrared (NIR) spectrum to identify and quantify individual chemicals.

Basic Operation

The underlying operating principal in DOAS is rooted in a modification of the Beer-Lambert Law which relates the intensity of light transmitted to the intensity of light received after traveling a set distance. As stated on the University of Heidelburg's Satellite Group (2007) webpage:

The Beer-Lambert law can not directly be applied to atmospheric measurements because of several reasons:

  • Besides the absorption of the trace gases also light extinction due to scattering on molecules and aerosols occurs.
  • In the atmosphere the absorptions of several species always add up to the total absorption. Thus in most of the cases it is not directly possible to measure only one specific species.
  • Usually the initial intensity I0 can not be measured at all or with sufficient accuracy.

These limitations can be solved by applying the method of Differential Optical Absorption Spectroscopy (DOAS). The DOAS technique relies on the measurement of absorption spectra instead of the light intensity at a single wavelength only. Thus it is possible to separate the absorption structures of several atmospheric species from each other as well as from the extinction due to scattering on molecules and aerosols. The key principle of DOAS is the separation of the absorption into a part which represents broad spectral features and in another part representing narrow spectral features.

The typical system includes a light emitter that collimates the light from a source lamp, a transmitting telescope, a telescope that collects the attenuated light beam, a spectrometer, a single or multichannel receiving/detector unit, and a control and processing computer (see Exhibit 1).

Exhibit 1. Monostatic Configuration of UV-DOAS System
Exhibit 1.  Monostatic Configuration of UV-DOAS System


The open path UV-DOAS generally uses either a tungsten halogen or xenon arc lamp as a light source, although deuterium lamps can also be used. The light is collimated before being transmitted through a telescope to a receiving unit.


Unless operated in the passive mode, the system requires a sending and receiving telescope. Incoming light can be focused either directly into the spectrometer or onto a fiber optics cable where it is transmitted to the spectrometer. There are some commercial systems that use one telescope for both transmitting and receiving and are restricted to a monostatic configuration.


In a typical setup, light from the telescope enters the spectrometer where a mirror collimates it and sends it to a diffraction grating. The diffracted light falls on a second mirror that focuses it on a detector for counting. The spectrometer may also utilize a multi-channel optical analyzer. The information gathered is then sent to a computer for evaluation and analysis. The user of this system should compare system spectrometers before deciding which vendor to choose as their different designs can fit some applications better than others.


The background spectra for UV-DOAS is dominated by N2 and O2 background scattering (Rayleigh and Mie). This scattering produces broad spectral bands. Target analytes produce molecular absorption patterns that have narrow band widths. By using a mathematical subtraction algorithm, the narrow band widths can be extracted from the overall spectrum and fitted to reference spectra using least squares regression to match the spectrum with target analytes.


UV-DOAS systems can be deployed in a monostatic, bistatic, or passive configuration. Depending on the commercial system used and the target analytes, the measured one-way path length can be up to 10 kilometers. Exhibit 1 shows a monostatic configuration where the collimated light is beamed through the area to be measured to a retroreflector that bounces it back through the measurement area to the system's receiving optics. In this configuration the path length is, in effect, doubled. In a bistatic configuration (Exhibit 2), the area to be measured is located between the sending and receiving portions of the system. In a passive mode the system uses light from the sun as the source. The passive system is often used for high-altitude measurement of atmospheric gases from platforms mounted on balloons.

Exhibit 2. Bistatic Configuration of UV-DOAS System
Exhibit 2.  Bistatic Configuration of UV-DOAS System

Chemical Detection

Although vendor literature makes claims that a wide range of organic and inorganic chemicals can be detected by UV-DOAS, the technology has found its most widespread use in detecting inorganic gases and vapors (SOx, NOx, NH3, H3S, HF), monoaromatics (BTEX), and aldehydes (HCHO). While dependent upon the system chosen, path length, deployment configuration, and meteorological conditions, among other things, detection limits found in the literature along with vendor claims indicate that UV-DOAS generally can detect the above species at the ppb to sub ppb level. Exhibit 3 presents detection limits published on the Royal Society of Chemistry webpage (http://www.rsc.org/). Oxygen is a strong interferent with the monoaromatics, and UV-DOAS cannot be used for detecting CO. However, the DOAS method is valid for CO when used in a passive mode and the light source includes near infrared wavelengths.

Exhibit 3
Detection Limits for Air Pollutants Using UV-DOAS1
Pollutants Detection Limit µg/m3 Measurement Range µg/m3
SO2 1 0-1000
NO2 1 0-1000
O3 3 0-1000
HNO2 1 0-500
HCHO (Formaldehyde) 2 0-500
CH3CHO (Acetaldehyde) 2 0-500
Benzene 3 0-500
Toluene 3 0-500
p-m-Xylene 10 0-500
o-Xylene 3 0-500
1 Modified from an article by Miroslav Radojevic on the Royal Society of Chemistry webpage

Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS)

MAX-DOAS involves taking simultaneous measurements using either passive or active techniques from a single location along various horizontal/vertical paths (axis). The measurements allow for the construction of a vertical profile of the chemicals of concern. The instrument generally consists of a spectrometer, detector, and two or more telescopes that are connected to the detector via fiber optic cable. Two examples of the profile can be found at Bales et al. (2006) and University of Bremen (2006). If a charged-coupled device (CCD) is employed as a detector, up to 10 measurements can be taken at the same time. In this configuration, each fiber optic signal is focused on one CCD row. The University of Bremen website contains a number of articles on MAX-DOAS in specific and DOAS in general.

DOAS Tomography

In land-based tomography, telescopes are used to direct light to pre-positioned retroreflectors at different heights and/or distances. Concentrations of chemicals along these paths are determined, and the data are converted into 2- or 3-D tomograms. At least two different source points are needed to construct a 3-D tomogram. The method was demonstrated by Pundt et al. (2005) to display concentrations of exhaust gases along a heavily used highway and has applications for urban air quality measurements and to calibrate/verify contaminant air transport models. Wang et al. (2005) reports using a MAX-DOAS to collect data from aircraft overflights that were converted into 2 or 3-D tomograms. This technique uses ground reflectance or scattered sunlight as the light source.

To improve the resolution of active open path DOAS tomography, researchers at the University of Heidelberg have developed a multi-beam instrument consisting of a Newtonian telescope that is capable of sending and receiving up to six different light paths with one lamp source (Mettendorf et al. 2003). The emitting light comes from small mirrors positioned near the lamp. The return light signal is coupled into different fiber optic cables that direct the light to a spectrograph connected with a CCD detector (Mettendorf et al. 2005 and Pundt and Mettendorf 2005).

Measurement and Monitoring Initiative Project Support

To support the identified need for remote sensing of airborne contaminants, EPA's Technology Innovation Program funded a UV-DOAS project (http://clu-in.org/programs/21m2/projects/6.pdf) The project, which was carried out in the Chicago area, tested the ability of the instrument to monitor fence-line concentrations of aromatic compounds during a remedial action at a landfill. The UV-DOAS data, averaged across a 200-m distance, were compared to data taken at points along the same path using canisters for collection and GC/MS for analysis. The UV-DOAS data were consistently higher than those obtained from the canisters indicating that there was at least one source that the canisters were not sampling.

Demonstrated Uses in Environmental and Industrial Settings

Air Quality Management

The most prevalent use of UV-DOAS is in monitoring ambient air for smog-related chemicals (e.g., NOx, SOx, O3, formaldehyde). Since it has a range up to ten or more kilometers it can be used to calibrate and verify Eulerian models used in air quality management. The average concentration of a variety of chemicals over a given path provides a much better approximation of a smog condition than a number of point sources. Continuous measurements provide a 24-hour look at atmospheric conditions that would be very expensive to replicate for the same suite of chemicals over the same distance with point source equipment. For specific case studies see Mathew, et al. (2001), Jimínez, et al. (2000a), and Reisinger, et al. (1996). Full citations of these with accompanying abstracts are in the 21M2 literature database.

In 1999, the Maine Department of Environmental Protection (MDEP) installed a UV-DOAS system in the city of Portland to measure ozone, sulfur dioxide, nitrogen dioxide, benzene, toluene, total xylenes, formaldehyde, and phenol. The system was setup on the roof of the University of Southern Maine Library and emitted light across Interstate 295 to a receiver in a commuter parking lot. The real time measurements were provided on a web page for the public to view and for MDEP evaluation. The monitoring program ended Janaury 3 2007. Allegheny County in the Pittsburgh area is currently using UV-DOAS for air quality monitoring (ACHD 2006).

A more recent development is the use of DOAS to develop tomographic depictions of pollutant concentrations. Two 50 m towers were constructed 80 m from a major highway. Four retroreflectors were placed on each tower with 10 m spacing. One tower is 800m from the UV-DOAS instruments and the other is 650 m. Two DOAS systems took measurements of light reflected from the towers giving a total of 16 pathways (eight paths parallel to the highway and eight crossing it). The data collected were converted into 2- and 3-D concentration images that show above background concentrations of various pollutants above and down wind of the highway. As would be expected the pollutant concentrations were diluted the further above or away from the highway the measurements were taken (Pundt et al. 2005).

A monitoring system using three multi-beam DOAS instruments was installed in the city of Heidelberg, Germany, in 2005. The system uses 10 to 20 retroreflector arrays spaced around the city and up to 5 km away to construct 2-D tomograms of trace gas concentrations (Poehler et al. 2005).

Fenceline Monitoring at a Chemical Plant

Emissions of air pollutants such as benzene, sulfur dioxide, ammonia and particulate can be related to regulatory violations. In some instances, ambient concentrations of pollutants can raise public health concerns. To better understand the nature of these emissions and the risks to public health, the Air Enforcement Division (AED) operates a mobile remote sensing laboratory at facility fence lines, residential areas, and other off-site locations. The data helps inform the Agency during traditional regulatory investigations and can provide data for purposes of administrative or judicial orders under Clean Air Act section 303, Emergency powers.

AED's mobile laboratory includes an open-path ultra violet differential optical absorption spectrometer (UV DOAS), a real-time particulate matter monitor and sample collection system, and other measurement analyzers as required. Wind direction and wind speed data is also collected for purposes of data evaluation. The instrumentation provides highly time-resolved pollution data over relatively large areas, allowing for a variety of analyses for determining the source of emissions and their importance in terms of public health.

For example, UV DOAS has been used to measure benzene, a known human carcinogen, and other aromatic hydrocarbons in residential areas downwind of refineries, petrochemical plants, and other facilities suspected of violating benzene control requirements. Sulfur dioxide has also been measured downwind of combustion sources, including a coal-fired power plant in Ohio where residents and public health agencies were concerned about exposure to the plants' emissions. In a joint effort with the State of Missouri, Department of Natural Resources and public health agencies, the mobile laboratory was used to measure ammonia and particulate matter in the vicinity of a large-scale swine confined animal feeding operation (e.g., PSF/Continental Grain). In that case, the data helped to inform the need for ammonia controls and the potential impacts to public health.

Ambient measurements of source-related air pollutants has been a useful tool for identifying problem areas and determining the need for injunctive relief. AED plans to continue this program and to support EPA Regional offices and states in these special investigations.

Under a consent decree, a UV-DOAS system is being used for fence-line monitoring at the Westlake Petrochemicals facility in Westlake, Louisiana. The data generated from this system, which is measuring primarily monoaromatics are made available to the public on an Internet webpage. A special condition of the decree requires the company to provide data to any nearby resident requesting it by the next business day following the request.

Governments in Australia routinely use UV-DOAS to perform fenceline monitoring near facilities suspected of emitting excessive amounts of pollutants. For example, a DOAS system was installed and is operated at a grammar school located approximately 500 m from an oil refinery. The instrument, which has a 430 m open path, is monitored continuously. The results of the sampling indicated that benzene has exceeded action levels on several occasions, but in general, the concentrations were below levels of concern. The two exceedances occurred during light winds blowing from the direction of the refinery (EPA Victoria 2005, EPA South Australia 2003).

Schaefer et al. (2002) reports on using a mono-static DOAS system equipped with three retroreflectors to measure fugitive emissions from tanker loading operations at a river harbor. The effluent concentrations in the plume and meterological measurements were used to determine emission source strengths.

In cooperation with the Olin Corporation, EPA conducted a UV-DOAS survey at a chlor-alkali facility that used the mercury cell process to manufacture chlorine gas and sodium hydroxide. The system was deployed in a bi-static configuration on the roof of the plant's cell building. Measurements for mercury were taken across the roof vent. During the study period, approximately 472 gm/day of elemental mercury were being emitted from the vent (USEPA 2002).

Open Path Vehicle Emissions Monitoring

UV-DOAS equipment has been successfully deployed to detect vehicles that emit excessive amounts of pollutants through their mufflers. The system consists of a sending and receiving unit located on one side of a road and a retroreflector on the other. The ideal location is at a stop sign or stop light where vehicle engines will exert a high torque while accelerating from a stop thereby emitting the most pollutants. The equipment measures changes in gases as cars pass; and at the same time, a camera records the vehicle license plate. Those vehicles associated with elevated pollutant emissions are issued citations asking the owner to have the vehicle repaired and then inspected at an appropriate inspection station.

Upper Atmosphere Monitoring of Trace Gases and Pollutants

UV-DOAS instruments that operate in a passive open path mode and are housed in balloons or aircraft, have been used to investigate concentrations of pollutants in the atmosphere at various heights. For example, the THESEO2000 project measured O3, NO2, BrO, OClO, and H2O from a balloon-mounted UV-DOAS. Measurements were taken at various altitudes up to the float height of approximately 30 km using direct sun spectroscopy. The direct measurement data from these balloon experiments were used to test the predictions of 3-D photochemical transport models such as SLIMCAT (Chipperfield, 1999) and Reprobus (Lefevre, et al., 1994). For more information on this project, visit http://www.nilu.no/projects/theseo2000/.

The Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY), a passive UV/VIS/NIR instrument, was launched on ENVISAT on March 1, 2002. It measures wavelengths between 240 nm and 2,380 nm. By using the DOAS method, it is possible to retrieve the atmospheric absorptions of O3, NO2, BrO, OClO, SO2, HCHO, O2, O4, CO, CO2, CH4, and N2O on a global basis. Typical spatial resolution in nadir mode is 30 by 60 km, which can be improved to 30 by 15 km (Frankenberg et al. 2003).

Monitoring Ammonia Emissions from Animal Facilities

The U.S. EPA is concerned about ammonia emissions from confined animal (hog) feeding operations. Estimates show that each hog can produce up to 8 pounds of ammonia per year. At a large-scale feeding facility this could amount to over 1,000 pounds per day. Secrest (2001) reports on the use of open path FTIR and UV-DOAS for measuring ammonia concentrations downwind from two feeding facilities. The UV-DOAS had a detection limit of 4 ppb (100 m path) and a linear range up to 993 ppb. The actual path used for the monitoring was 150 m. The distance to the first facility was 800 m, and the distance to the second facility was 400 m. At 800 meters distance, concentrations of over 700 ppb were recorded. The continuous monitoring showed wide variations in concentrations during a 24-hour period. These variations were probably due to changes in temperature and wind speed. The author concludes that having continuous contaminant concentration data coupled with meteorological data provide a much better basis for estimating potential exposure and subsequent health effects than that which can be obtained with canister style point source monitoring.

Mount et al. (2002) are studying the release of ammonia gas at the Washington State University research dairy farm using a UV-DOAS system. They have found concentrations of ammonia in the tens of ppm in the barn and concrete yard area, 100s of ppb to low ppm over the slurry lagoon area, and low ppm after application of slurry onto pasture land. The DOAS system has a detection limit of around 1 ppb for ammonia.

Uses Suggested in Vendor Literature

Vendors that manufacture UV-DOAS equipment can be located through journal announcements and on the Internet. The following list contains applications in which the vendors claim their products have been successfully deployed:

  1. Urban air pollution monitoring
  2. Industrial fence-line monitoring
  3. Airport monitoring
  4. Traffic monitoring
  5. In-plant storage/process area monitoring
  6. Stratospheric pollutant monitoring
  7. Tropospheric pollutant monitoring

Experimental and Potential Uses in Environmental and Industrial Settings

Monitoring Aromatic Hydrocarbons at a Wastewater Treatment Plant

Jimínez et al. (2000b) report on a demonstration project using UV-DOAS to monitor the emissions of benzene, toluene, ethylbenzene, xylenes, 1,2,4-trimethylbenzene, and phenol at a wastewater treatment plant in Lausanne, Switzerland. The plant runs an activated sludge process with fine bubble-diffused aeration for treating city wastewater. It also has a facility for incinerating the produced sludge. The demonstration project used an innovative method for obtaining oxygen spectra to achieve better detection limits and resolution for the monoaromatic data. A monostatic, coaxial DOAS system was used with a focal path from the roof of one building across the roof of the sludge-handling building to a retroreflector. This resulted in a maximum path length of 220 m (which is short) for obtaining the best achievable detection limits. The highest concentrations of BTEX were observed when there was a vertical (up) wind that generally occurred around noon. This circumstance indicated that vertical mixing was not occurring to any degree without wind turbulence, and might also indicate that more than one path would be needed for full characterization. The authors conclude that the system was successful in monitoring the monoaromatic emissions at low ppb levels and could be used to monitor other facilities like this one.

Environmental Technology Verification Program

The EPA ETV program has tested two UV-DOAS instruments, and verification reports are available on the ETV website at (http://www.epa.gov/etv):

Opsis Inc. - AR 500 Ultraviolet DOAS Open-Path Monitor
Verification Statement (PDF, 42.7K) | Verification Report (PDF, 1.14M)

Spectrex - SafEye 420 Ultraviolet Open-Path Monitor
Verification Statement (PDF, 44 K) | Verification Report (PDF, 554K)


Allegheny County Health Department (ACHD). 2006. Air toxics study-first look at data. Eco-Currents, Volume 6, Issue 4, July-August, 4 pp. http://www.achd.net/airqual/pubs/pdf/ecojulaug2006.pdf

Arellano, S., M. Hall, and E. Ayala. 2006. Spectroscopic remote sensing of volcanic gases: The Ecuadorian case. Óptica Pura Y Aplicada - Vol. 39, núm. 1 - 2006 - 3rd-Workshop LIDAR Measurements in Latin América. http://www.sedoptica.es/revistas/pdfs/190.pdf

Bales R., J. Stutz, and S. Hurlock. 2006. Long term measurement of trace gases at GEOSummit using multi-axis differential optical absorption spectroscopy. January 2006. GEOSummit Meeting.

Basaldud, R. and M. Grutter. 2006. Remote sensing of SO2 and NO2 emissions from industrial sources in Mexico by passive DOAS. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/basaldud_roberto_o407.pdf

Bobrowski, N., et al. 2006. Measurements of sulfur dioxide and halogen oxides in volcanic plumes. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/bobrowski_nicole_o202.pdf

Bruns, M., S. A. Buehler, J. P. Burrows, K.-P. Heue, U. Platt, I. Pundt, A. Richter, A. Rozanov, T. Wagner and P. Wang. 2004. Retrieval of profile information from airborne multi axis UV/visible skylight absorption measurements. Appl. Opt., 43(22), 4415-4426. http://www.sat.ltu.se/members/sab/publications/doas/doas_retrieval_paper.pdf

Bunton,B., P. O'Shaughnessy, S. Fitzsimmons, J. Gering, S. Hoff, M. Lyngbye, P. Thorne, J. Wasson, and M. Werner. 2006. Monitoring and Modeling of Emissions from Concentrated Animal Feeding Operations: Overview of Methods. Environmental Health Perspectives, VOL 115 No 2 February 2007, pp 303-307. http://www.ehsrc.uiowa.edu/images/cafo_series_monitoring.pdf

Cheng A. and M. Chan. 2004. Acousto-optic differential optical absorption spectroscopy for atmospheric measurement of nitrogen dioxide in Hong Kong. Appl Spectrosc. 2004 Dec;58(12):1462-8. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=15606960&dopt=Abstract

Chipperfield, M.P. 1999. Multiannual simulations with a 3-D chemical transport model. Journal of Geophysical Research, Vol 104, pp 1781-1805. http://www.cluin.org/programs/21m2/lit_show.cfm?id=981

Dils, B. et al. 2005. Comparisons between SCIAMACHY and ground-based FTIR data for total columns of CO, CH4, CO2 and N2O. Atmospheric Chemistry and Physics Discussions, Vol. 5, pp 2677-2717, 3-5. http://www.atmos-chem-phys.net/volumes_and_issues.html

Dunlea, E. et al. 2006. Technical note: Evaluation of standard ultraviolet absorption ozone monitors in a polluted urban environment. Atmos. Chem. Phys., 6, 3163-3180. http://www.atmos-chem-phys.net/6/3163/2006/

EPA South Australia. 2003. Air Quality Monitoring Hot Spot No 4 near the Castalloy Foundry, North Plympton, 36 pp. http://www.epa.sa.gov.au/pdfs/aq_castalloy.pdf

EPA Victoria. 2005. Benzene Air Monitoring in Corio 2003-2005. Environmental Report Publication 999. 8 pp. http://epanote2.epa.vic.gov.au/EPA/publications.nsf/d85500a0d7f5f07b4a2565d1002268f3/cedcb7ec217f5842ca256ffe00818bab/$FILE/999.pdf

Frankenberg, C. et al. 2003. Potential of SCIAMACHY near infrared measurements for investigating global tropospheric trace gas distributions. EXPORT-E2, European Export of Particulates and Ozone by Long- Range Transport: A Study in EUROTRAC-2 Final Report, Report 13, 6 pp.

Friedeburg, C., I. Pundt, K.-U. Mettendorf, T. Wagner, and U. Platt. 2005. Multi-axis-DOAS measurements of NO2 during the BAB II motorway emission campaign. Atmospheric Environment 39 (2005) pp 977-985. http://www.imk.uni-karlsruhe.de/download/BAB-Friedeburg.pdf

Frieβ, U., P. Monks, J. Remedios, T. Wagner, A. Rozanov, and U. Platt. 2006. Inverse modelling of multi-axis DOAS measurements: a new technique to derive information on atmospheric aerosols. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/friess_udo_o305.pdf

Fuqi , S., J. Liu, P. Xie, and Y. Zhang. 2006. Correlation study between suspended particulate matter and DOAS data. Advances in Atmospheric Sciences, Vol. 23, No. 3, pp 461-467. http://www.iap.ac.cn/html/qikan/aas/aas2006/200603/233sfq.pdf

Grutter, M. and E. Flores. 2004. Air pollution monitoring with two optical remote sensing techniques in Mexico City. Remote Sensing of Clouds and the Atmosphere IX, ed. K. Scháfer, A. Cameron, M. Carleer, R. Picard, and N. Sifakis, Proceedings of SPIE Vol. 5571, Bellingham, WA, 2004. http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=851074

Halla, J., D. Majonis, and R. McLaren. 2006. Trace gas measurements using MAX-DOAS in a polluted marine environment. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/halla_jamie_p101.pdf

Heckel, A., A. Richter, T. Tarsu, F. Wittrock, C. Hak, I. Pundt, W. Junkermann, and J. P. Burrows. 2005. MAX-DOAS measurements of formaldehyde in the Po-Valley. Atmos. Chem. Phys., 5, 909-918. http://www.atmos-chem-phys.net/5/909/2005/acp-5-909-2005.html

Hendrick, F., et al. 2005 Intercomparison exercise between different radiative transfer models used for the interpretation of ground-based zenith-sky and multi-axis DOAS observations. Atmos. Chem. Phys. Discuss., 5, 7929-7964. http://www.atmos-chem-phys-discuss.net/5/7929/2005/acpd-5-7929-2005-print.pdf

Hoenninger, G., C. von Friedeburg, and U. Platt. 2004. Multi axis differential optical absorption spectroscopy (MAX-DOAS). Atmos. Chem. Phys., 4, 231-254. http://www.atmos-chem-phys.net/4/231/2004/acp-4-231-2004.pdf

Ibrahim, O., T. Stein, T. Wagner, and U. Platt. 2006. Auto-MAX DOAS: A new measurement platform. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/ibrahim_ossama_o112.pdf

Jimínez, R., A. Martilli, I. Balin, H. van den Bergh, B. Calpini, B.R. Larsen, G. Favaro, and D. Kita. 2000a. Measurement of formaldehyde (HCHO) by DOAS: Intercomparison to DNPH measurements and interpretation from Eulerian model calculations. Proceedings of A&WMA 93rd Annual Conference & Exhibition, Salt Lake City (UT), June 18-22. Paper #829, 15 pp, 2000. http://www.cluin.org/programs/21m2/lit_show.cfm?id=901

Jimínez, R., T. Iannone, H. van den Bergh, B. Calpini; and D. Kita. 2000. Investigation of the emission of monocyclic aromatic hydrocarbons from a wastewater treatment plant at Lausanne (Switzerland) by differential optical absorption spectroscopy (DOAS). Proceedings of A&WMA 93rd Annual Conference & Exhibition, 18-22 June 2000, Salt Lake City, Utah. Paper #830, 17 pp, 2000. http://www.cluin.org/programs/21m2/lit_show.cfm?id=886

Kern, C., S. Trick, J. Zingler, D. Pedersen, B. Rippel, and U. Platt. 2006. Applicability of light-emitting diodes as light sources for active DOAS measurements. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/kern_christoph_o105.pdf

Kim, K.-H. 2004. Comparison of BTX measurements using a differential optical absorption spectroscopy and an on-line gas chromatography system. Environmental Engineering Science, Mar 2004, Vol. 21, No. 2: pp 181-194. http://www.liebertonline.com/doi/abs/10.1089/109287504773087354?cookieSet=1&journalCode=ees

Laepple, T., V. Knab, K.-U. Mettendorf, and I. Pundt. 2004. Longpath DOAS tomography on a motorway exhaust gas plume: Numerical studies and application to data from the BAB II campaign. http://www.atmos-chem-phys.net/4/1323/2004/acp-4-1323-2004.pdf

Langford, A., R.Schofield, M. Melamed, J.S. Daniel, R.W. Portmann, and S. Solomon. 2006. Measurements of the ring effect in the near ultraviolet. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/langford_andrew_o303.pdf

Lee J, K. Kim, Y. Kim, and J. Lee. 2007. Application of a long-path differential optical absorption spectrometer (LP-DOAS) on the measurements of NO(2), SO(2), O(3), and HNO(2) in Gwangju, Korea. J Environ Manage. 2007 Feb 28. http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed&list_uids=17335958&cmd=Retrieve&indexed=google

Lee, J.,Y. Kim, B. Kuk, A.Geyer, and U. Platt. 2005. Simultaneous Measurements of Atmospheric Pollutants and Visibility with a Long-Path DOAS System in Urban Areas. Environmental Monitoring and Assessment, Vol. 104, No. 1-3: 281. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=15931992&dopt=Abstract

Lefevre, F., G. Brasseur, I. Folkins, A. K. Smith, and P. Simon. 1994. Chemistry of the 1991-1992 stratospheric winter: Three-dimensional model simulations. Journal of Geophysical Research, Vol 99, pp 8183-8195. http://www.cluin.org/programs/21m2/lit_show.cfm?id=982

Leigh, R., G. Corlett, and P. Monks. 2006. Measurement of NO2 in Leicester by concurrent multi-axis DOAS. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/leigh_roland_o103.pdf

Liu, X., K. Chance, C. Sioris, M. Newchurch, T.Kurosu. 2006. A new retrieval method for tropospheric ozone profiles from a ground-based ultraviolet spectrometer. Applied Optics, Vol. 45, Issue 10, pp. 2352-2359 (April 2006). http://www.atmos.uah.edu/atmchem/pub/fulltext/r2005/gndspec_manuscript_accepted.pdf

Mathew, L., W. R. Tai, and Ji.-G. Lo. 2001. Measurements of sulfur dioxide and formaldehyde in Taipei using a differential optical absorption spectrometer. Journal of the Air & Waste Management Association, Vol 51 No 1, p 94-101, Jan 2001. http://www.cluin.org/programs/21m2/lit_show.cfm?id=903

Merten, A. 2006. New application software for differential optical absorption spectroscopy (DOAS). Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/doas_ws_2006_program.html

Merten, A. and U. Platt. 2006. Improvement of the detection limit of active-DOAS-measurements by use of fibre light source. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/merten_andre_p103.pdf

Mettendorf, K., C. Kunz, V. Knab, H. Sun, and I. Pundt. 2003. The multibeam DOAS long path DOAS system; a new apparatus for simultaneous measurements along different light paths. Geophysical Research Abstracts, Vol. 5, 12055. http://www.cosis.net/abstracts/EAE03/12055/EAE03-J-12055.pdf

Mettendorf, K., A. Hartl, U. Platt, and I. Pundt. 2005. Long path DOAS tomography by the use of multibeam DOAS instruments: Results of an indoor validation campaign. Geophysical Research Abstracts, Vol. 7, 08543. http://www.cosis.net/abstracts/EGU05/08543/EGU05-J-08543.pdf

Mount, G., B. Rumburg, J. Havig, B. Lamb, H. Westberg, D. Yonge, K. Johnson, and R. Kincaid. 2002. Measurement of atmospheric ammonia at a dairy using differential optical absorption spectroscopy in the mid-ultraviolet. Atmospheric Environment, 2002, 36(11), pp 1799-1810. http://www.sciencedirect.com/science/article/pii/S1352231002001589

Müller, T., D. Müller, and R. Dubois. 2006. Particle extinction measured at ambient conditions with differential optical absorption spectroscopy. 2. Closure study. Applied Optics, Vol. 45, Iss. 10, pp 2295-2305. http://ao.osa.org/abstract.cfm?id=89111

Oetjen, H., F. Wittrock, S. Fietkau, T. Medeke, A. Richter, and J. P. Burrows. 2005. MAX-DOAS observations of reactive halogen compounds at different latitudes. Geophysical Research Abstracts, Vol. 7, 08870, 2005. http://www.cosis.net/abstracts/EGU05/08870/EGU05-J-08870.pdf

Pisano, J. et al. 2003. A UV differential optical absorption spectrometer for the measurement of sulfur dioxide emissions from vehicles. Meas. Sci. Technol. 14, pp 2089-2095. http://www.iop.org/EJ/abstract/0957-0233/14/12/007

Platt, U. 2006. Spatially resolved DOAS measurements of trace gases and aerosols. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/platt_ulrich_o101.pdf

Poehler, D., A. Hartl, and U. Platt. 2006. Tomographic DOAS measurements of 2D trace gas distributions above the city centre of Heidelberg, Germany. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/doas_ws_2006_program.html

Poehler, D., B. Rippel, A. Stelzer, K. Mettendorf, A. Hartl, U. Platt, and I. Pundt. 2005. Tomographic DOAS measurements of the 2D trace gas distribution above the city centre of Heidelberg, Germany. http://www.cosis.net/abstracts/EGU05/08790/EGU05-J-08790.pdf

Pszenny, A., J. Moldanová, W. Keene, R. Sander, J. Maben, M. Martinez, P. Crutzen, D. Perner, and R. Prinn. 2003. Halogen cycling and aerosol pH in the Hawaiian marine boundary layer. Atmos. Chem. Phys. Discuss., 5, 7929-7964Atmos. Chem. Phys. Discuss., 3, 4701-4753. http://www.mountwashington.org/research/polarstern/acpd-3-4701.pdf

Pundt, I. and K.-U. Mettendorf. 2005. Multibeam long-path differential optical absorption spectroscopy instrument: a device for simultaneous measurements along multiple light paths. Appl. Opt. 44, pp 4985-4994. http://www.opticsinfobase.org/abstract.cfm?URI=ao-44-23-4985

Pundt, I., K.-U. Mettendorf, T. Laepple, V. Knab, P. Xieb, J. Lösch, C. Friedeburg, U. Platt, and T. Wagner. 2005. Measurements of trace gas distributions using Long-path DOAS-Tomography during the motorway campaign BAB II: Experimental setup and results for NO2. Atmospheric Environment 39 (2005) pp 967-975. http://www.imk.uni-karlsruhe.de/download/BAB-Pundt.pdf

Queensland Government. 2007. What is DOAS. http://www.epa.qld.gov.au/environmental_management/air/air_quality_monitoring/meteorological_data/what_is_doas/

Reisinger, A., G. Fraser, P. Johnston, R. McKenzie, and W.A. Matthews. 1996. Slow-scanning DOAS system for urban air pollution monitoring. XVIII Quadrennial Ozone Symposium '96 University of L'Aquila - L'Aquila (Italy), 12-21 September 1996. http://www.cluin.org/programs/21m2/lit_show.cfm?id=980

Saiz-Lopez, A. and J. Plane. 2004. Recent applications of Differential Optical Absorption Spectroscopy: Halogen chemistry in the lower troposphere. J. Phys. IV France 121 (2004) 223-238. http://www.edpsciences-usa.org/articles/jp4/pdf/2004/09/jp4121015.pdf

Satellite Group. 2007. DOAS Analysis of Satellite Spectra. University of Heidelberg.

Schaefer, K., H. Hoffmann, I. Dormuth, C. Jahn, and S.M. Emeis. 2002. VOC emission source strengths of tankers during refueling activities determined by spectroscopic remote sensing and inverse dispersion modeling. Remote Sensing of Clouds and the Atmosphere VI. Proceedings of SPIE - The International Society for Optical Engineering, Vol 4539, p 247-257, 2002. http://www.cluin.org/programs/21m2/lit_show.cfm?id=1608

Schäfer, K., et al. 2006. Determination of NO and NO2 aircraft emission indicies at airports by open-path DOAS. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/schaefer_klaus_o404.pdf

Schäfer, K., H. Hoffmann, S. Emeis, J. Wittig, and J. Vergeiner. 2006. Highway emission study by DOAS within the Inn valley near Innsbruck. Remote Sensing of Clouds and the Atmosphere XI, Proceedings of SPIE v. 6362, October 11, 2006. http://adsabs.harvard.edu/abs/2006SPIE.6362E..35S

Schlosser, E., J. Bossmeyer, T. Brauers, H.-P. Dorn, and R. Tillmann. 2006. HCHO detection by high-resolution laser DOAS. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/schlosser_eric_p105.pdf

Schürmann G., K. Schäfer, C. Jahn, H. Hoffmann, V. Groma, S. Török, S. Emeis. 2006. Airport air quality and emission studies by remote sensing and inverse dispersion modelling. Remote Sensing of Clouds and the Atmosphere XI, Proceedings of SPIE Vol. 6362. http://adsabs.harvard.edu/abs/2006SPIE.6362E..36S

Secrest, C. 2001. Field measurement of air pollutants near swine confined-animal feeding operations using UV DOAS and FTIR. Water, Ground, and Air Pollution Monitoring and Remediation, 6-7 November 2000. Proceedings of SPIE--The International Society for Optical Engineering, Vol 4199, p 98-104, 2001. http://www.cluin.org/programs/21m2/lit_show.cfm?id=868

Smith, J., et al. 2007. Comprehensive Evaluation of a Low-Profile Cross-Ventilated Freestall Barn. Western Dairy Management Conference Reno, NV March 7-9, 2007. http://www.wdmc.org/2007/smithandharner.pdf

Stenberg, P. 2006. Current advances in open path DOAS measurements for criteria DOAS measurements for criteria and toxic parameters. 2006 Air Monitoring Conference 2006 Air Monitoring Conference Las Vegas, Nevada Las Vegas, Nevada, November 2006 (PowerPoint), 26 pp. http://www.epa.gov/ttnamti1/files/2006conference/stenberg.pdf

Sussmann, R., W. Stremme, J.P. Burrows, A. Richter, W. Seiler, and M. Rettinger. 2006. NEW Retrieval approach to tropospheric NO2 by synergistic inversion of satellite nadir DOAS soundings and ground-based FTIR measurements. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/sussmann_ralf_o302.pdf

Taslakov, M., V. Simeonov, and H. Van den Bergh. 2006. Space-resolved open-path detection of trace gases by mid IR quantum cascade laser. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/taslakov_marian_o504.pdf

University of Bremen DOAS Group. 2006. The MAXDOAS Instrument and Measurements. University of Bremen. http://www.iup.uni-bremen.de/doas/maxdoas_instrument.htm

USEPA. 2002. Characterization of Mercury Emissions at a Chlor-Alkali Plant, EPA/600/R-02/007. Office of Research and Development. http://www.epa.gov/nrmrl/pubs/600r02007.html

USEPA. 2004. Air Emission Characterization and Management Workshop Review Draft: Supporting Documentation for the EPA Regional Science Workshop on Animal Feeding Operations (AFOs) - Science and Technical Support Needs December 6-9, 2004, College Park, Maryland. http://www.manure.umn.edu/regulatory/federal_rules.html

Vandaele, A., C. Fayt, F. Hendrick, C. Hermans, F. Humbled, M. Van Roozendael, M. Gil, M. Navarro, O. Puentedura, M. Yela, G. Braathen, K. Stebel, K. T ørnkvist, P. Johnston, K. Kreher, F. Goutail, A. Mieville, J.-P. Pommereau, S. Khaikine, A. Richter, H. Oetjen, F. Wittrock, S. Bugarski, U. Frieβ, K. Pfeilsticker, R. Sinreich, T. Wagner, G. Corlett, and R. Leigh. 2005. An intercomparison campaign of ground-based UV-visible measurements of NO2, BrO, and OClO slant columns: Methods of analysis and results for NO2. Journal of Geophysical Research Atmosphere 2005; 110(April D8):D08305. http://www.joplink.net/prev/200101/cit/6z12.html

Veefkind, J., J. de Haan, E. Brinksma, M. Kroon, and P. Levelt. 2006. Total ozone from the ozone monitoring instrument (OMI) using the DOAS technique. IEEE Transactions on Geoscience and Remote Sensing,Volume: 44, Issue: 5, pp 1239- 1244. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?tp=&arnumber=1624602&isnumber=34107

Volkamer, R. et al. 2006. Secondary organic aerosol formation from anthropogenic air pollution: rapid and higher than expected. Geophysical Research Letters, September 2006. http://www.envtox.ucdavis.edu/Faculty_Personal_Web_Pages/zhang/Volkamer_2006.pdf

Wang, P. A. Richter, M. Bruns, V. Rozanov, J. Burrows, K.-P. Heue, T. Wagner, I. Pundt, and U. Platt. 2005. Measurements of tropospheric NO2 with an airborne multi-axis DOAS instrument. Atmos. Chem. Phys. 5, 337-343. http://www.atmos-chem-phys.net/5/337/2005/acp-5-337-2005.pdf

Wang, P., A. Richter, M. Bruns, J. Burrows, W. Junkermann, K.-P. Heue, T. Wagner, U. Platt, and I. Pundt. 2005. Airborne multi-axis DOAS measurements of tropospheric SO2 plumes in the Po-Valley, Italy. Atmos. Chem. Phys.6, 329-338. http://www.atmos-chem-phys.net/6/329/2006/acp-6-329-2006.pdf

Wang, P., G. Wang, and X. Guo. 2006. Air pollution monitoring by using DOAS. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/wang_pucai_o408.pdf

Wittrock, F., H. Oetjen, A. Richter, S. Fietkau, T. Medeke, A. Rozanov, and J. P. Burrows. 2004. MAX-DOAS measurements of atmospheric trace gases in Ny- Ålesund - Radiative transfer studies and their application. Atmos. Chem. Phys., 4, 955-966. http://www.atmos-chem-phys.net/4/955/2004/acp-4-955-2004.pdf

Wittrock, F., A. Heckel, H. Oetjen, A. Richter, and J. Burrows. 2006. The retrieval of oxygenated volatile organic compounds by remote sensing techniques. Third International DOAS Workshop, University of Bremen, March 20-26, 2006. http://troposat.iup.uni-heidelberg.de/AT2/DOAS_workshop/wittrock_folkard_o308.pdf

curve, top right
Last modified: February 28, 2014