Kasemsan Manomaiphiboon

A preliminary synthesis of modeled climate change impacts on U.S. regional ozone concentrations.

This paper provides a synthesis of results that have emerged from recent modeling studies of the potential sensitivity of U.S. regional ozone (O3) concentrations to global climate change (ca. 2050). This research has been carried out under the auspices of an ongoing U.S. Environmental Protection Agency (EPA) assessment effort to increase scientific understanding of the multiple complex interactions among climate, emissions, atmospheric chemistry, and air quality. The ultimate goal is to enhance the ability of air quality managers to consider global change in their decisions through improved characterization of the potential effects of global change on air quality, including O3 The results discussed here are interim, representing the first phase of the EPA assessment. The aim in this first phase was to consider the effects of climate change alone on air quality, without accompanying changes in anthropogenic emissions of precursor pollutants. Across all of the modeling experiments carried out by the differe...

Development of an inventory and temporal allocation profiles of emissions from power plants and industrial facilities in Thailand.

An emission inventory (EI) of power plants and industrial (i.e., non-power plant) facilities in Thailand was developed. Emissions considered are those from fuel consumption (i.e., combustion) for power plants and those from both fuel consumption and industrial processes (i.e., non-combustion) for industrial facilities. For power plants, total annual emissions due to fuel consumption are 107.9 x 10(3) ton NOx (as NO2), 146.2 x 10(3) ton SO2, 6.1 x 10(3) ton NMVOC (non-methane volatile organic compounds), 47.0 x 10(3) ton CO, 1.8 x 10(3) ton NH3, 1.5 x 10(3) ton OC (organic carbon), and 1.5 x 10(3) ton BC (black carbon). For industrial facilities, total annual emissions due to fuel consumption are 111.4 x 10(3) ton NOx (as NO2), 476.9 x 10(3) ton SO2, 33.4 x 10(3) ton NMVOC, 193.1 x 10(3) ton CO, 1.6 x 10(3) ton NH3, 8.5 x 10(3) ton OC, and 8.0 x 10(3) ton BC. Among various industrial types, Food and Beverage, Chemical, and Non-Metal industries are dominant emitters. Total annual emissions due to industrial processes are 79.2 x 10(3) ton SO2, 76.0 x 10(3) ton NMVOC, and 4.8 x 10(3) ton CO. The Central and Eastern regions combined contribute considerably to total emissions for most emission species. Emission estimates found here show fair agreement with those in some selected past studies. A crude estimation of potential fugitive NMVOC emissions specifically from petroleum industry was also made, and the estimates found could be considered significant (nearly half of NMVOC emissions from industrial processes). Several temporal allocation profiles of emissions were also developed and suggested for power plants and industrial facilities, including monthly, daily, and hourly profiles.

NO2 and SO2dispersion modeling and relative roles of emission sources over Map Ta Phut industrial area, Thailand.

Map Ta Phut industrial area (MA) is the largest industrial complex in Thailand. There has been concern about many air pollutants over this area. Air quality management for the area is known to be difficult, due to lack of understanding of how emissions from different sources or sectors (e.g., industrial, power plant, transportation, and residential) contribute to air quality degradation in the area. In this study, a dispersion study of NO2 and SO2 was conducted using the AERMOD model. The area-specific emission inventories of NOx and SO2 were prepared, including both stack and nonstack sources, and divided into 11 emission groups. Annual simulations were performed for the year 2006. Modeled concentrations were evaluated with observations. Underestimation of both pollutants was found, and stack emission estimates were scaled to improve the modeled results before quantifying relative roles of individual emission groups to ambient concentration over four selected impacted areas (two are residential and the others are highly industrialized). Two concentration measures (i.e., annual average area-wide concentration or AC, and area-wide robust highest concentration or AR) were used to aggregately represent mean and high-end concentrations for each individual area, respectively. For AC-NO2, on-road mobile emissions were found to be the largest contributor in the two residential areas (36–38% of total AC-NO2), while petrochemical-industry emissions play the most important role in the two industrialized areas (34–51%). For AR-NO2, biomass burning has the most influence in all impacted areas (>90%) except for one residential area where on-road mobile is the largest (75%). For AC-SO2, the petrochemical industry contributes most in all impacted areas (38–56%). For AR-SO2, the results vary. Since the petrochemical industry was often identified as the major contributor despite not being the largest emitter, air quality workers should pay special attention to this emission group when managing air quality for the MA. Implications: Effective air quality management in Map Ta Phut Industrial Area, Thailand requires better understanding of how emissions from various sources contribute to the degradation of ambient air quality. Based on the dispersion study here, petrochemical industry was generally identified as the major contributor to ambient NO2 and SO2. By accounting for all stack and non-stack sources, on-road mobile emissions were found to be important in some particular areas. Supplemental Materials: Supplemental materials are available for this article. Go to the publishers online edition of the Journal of the Air & Waste Management Association.

Development of North American Emission Inventories for Air Quality Modeling under Climate Change

Abstract An assessment of how future climate change will impact regional air quality requires projecting emissions many decades into the future in a consistent manner. An approach that integrates the impact of both the current regulations and the longer-term national and global trends is developed to construct an emissions inventory (EI) for North America for the mid-century in support of a regional modeling study of ozone and particulate matter (PM) less than or equal to 2.5 μm (PM2.5). Because the time horizon of such a distant projection is beyond that of EIs used in typical modeling studies, it is necessary to identify a practical approach that allows the emission projections to account for emission controls and climatic and energy-use changes. However, a technical challenge arises because this requires integration of various different types of information with which emissions from human activities are associated. Often, emission information in global models has less detail and uses coarser spatiotemporal resolution. The method developed here is based on data availability, spatiotemporal coverage and resolution, and future-scenario consistency (i.e., Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios [IPCC SRES] A1B), and consists of two major steps: (1) near-future EI projection (to the year 2020), and (2) longer-term EI projection (to mid-century). The first step is based closely on the U.S. Environmental Protection Agency Clean Air Interstate Rule EI, the Environment Canada EI, as well estimates of Mexico’s EI; whereas the second step follows approaches proposed by the EI from the Integrated Model to Assess the Global Environment (IMAGE), developed by Netherlands’s National Institute for Public Health and the Environment (RIVM). For the United States, the year-2050 emissions for nitrogen oxides (NOx), sulfur dioxide (SO2), PM2.5, anthropogenic volatile organic compounds (VOCs), and ammonia are projected to change by -55, -55, -30, -40, and [H11001]20%, respectively, compared with 2001. NOx and SO2 emission changes are very similar in total amount but different in sectoral contribution. The projected emission trends for Canada and Mexico differ considerably. After taking into account the modeled climate changes, biogenic VOC emission increases from three countries overwhelm the decreases in anthropogenic VOC emissions, leading to a net small increase (~2%) in overall VOC emissions.

Evaluation of some proposed forms of Lagrangian velocity correlation coefficient

Abstract This work evaluates four different forms of Lagrangian velocity correlation coefficient for stationary homogeneous turbulence at very large Reynolds numbers through consideration of simple mathematical and physical requirements. It is shown that some of them do not comply well with the requirements and may not be appropriate for use.

Cost Analysis of Impacts of Climate Change on Regional Air Quality

Abstract Climate change has been predicted to adversely impact regional air quality with resulting health effects. Here a regional air quality model and a technology analysis tool are used to assess the additional emission reductions required and associated costs to offset impacts of climate change on air quality. Analysis is done for six regions and five major cities in the continental United States. Future climate is taken from a global climate model simulation for 2049-2051 using the Intergovernmental Panel on Climate Change (IPCC) A1B emission scenario, and emission inventories are the same as current ones to assess impacts of climate change alone on air quality and control expenses. On the basis of the IPCC A1B emission scenario and current control technologies, least-cost sets of emission reductions for simultaneously offsetting impacts of climate change on regionally averaged 4th highest daily maximum 8-hr average ozone and yearly averaged PM2.5 (particulate matter [PM] with an aerodynamic diameter less than 2.5 μm) for the six regions examined are predicted to range from

Ozone and its potential control strategy for Chon Buri city, Thailand

36 million (1999

Wind energy potential analysis for Thailand: Uncertainty from wind maps and sensitivity to turbine technology

) yr-1 in the Southeast to

Impacts of global climate change and emissions on regional ozone and fine particulate matter concentrations over the United States

5.5 billion yr-1 in the Northeast. However, control costs to offset climate-related pollutant increases in urban areas can be greater than the regional costs because of the locally exacerbated ozone levels. An annual cost of

Sensitivities of ozone and fine particulate matter formation to emissions under the impact of potential future climate change.

4.1 billion is required for offsetting climate-induced air quality impairment in 2049-2051 in the five cities alone. Overall, an annual cost of