Specifications include, but are not limited to: The purpose of this Request for Proposals (RFP) is to solicit research proposals that can provide information to the public about the levels of pollutants from the Aliso Canyon incident in the community before, during and after the incident. Information about air pollution exposures would include information on concentrations, duration, timing, and spatial patterns. Data integration and exposure modeling of airborne emissions from the Aliso Canyon incident and from facility emissions prior to and after the incident. The overall goal of this work is to develop a thorough and robust exposure model that would serve as the foundation for a subsequent LACDPH health study, or any other health study of this incident. All available information, including air sampling data from public agencies, meteorological and topographical data, and information on emissions from the natural gas leak along with well-kill activities (e.g. truck emissions, aerosolized oil residue emissions from well-kill attempts, other well-kill emissions) should be considered. Additional exposure modeling of post-well-kill facility emissions would enhance the application. Proposals may include additional environmental sampling, such as air pollution sampling or meteorological sampling to enhance and validate the exposure model. The proposal should clearly indicate how the results obtained can be applied to support a subsequent health study for the affected communities. The data integration should also include an evaluation of the data from the LAC-DPH symptom log, complaints data, and the CASPER study, as well as available results from any dispersion studies or meteorological studies sponsored by LAC-DPH regarding the Aliso Canyon incident. Specific tasks should include (but not be limited to): Task 1: Outreach a. Organize and present at a kick-off meeting with the HSTAG. b. Organize and present at public meetings twice a year to present study progress and findings, in coordination with the HSTAG. c. Additional outreach to enhance the study, as appropriate. Task 2: Data integration a. Identify appropriate data sources and obtain data and associated documentation. This may include emissions data, monitoring data, and other data sources as noted above. b. Conduct data quality assurance. c. Integrate data and provide data summaries and evaluations. Task 3: Perform additional environmental sampling, as appropriate, to enhance the exposure model. Task 4: Develop air pollution exposure models based on existing information and any additional information generated through this project. This may include dispersion modeling or other appropriate modeling techniques. Exposure models should be developed for several key pollutants of concern, especially those that may cause health effects, and should include information about temporal and spatial distribution of pollutants.