title: Sensitivity and uncertainty analysis for Abreu & Johnson numerical vapor intrusion model.
abstract: This study conducted one-at-a-time (OAT) sensitivity and uncertainty analysis for a numerical vapor intrusion model for nine input parameters, including soil porosity, soil moisture, soil air permeability, aerobic biodegradation rate, building depressurization, crack width, floor thickness, building volume, and indoor air exchange rate. Simulations were performed for three soil types (clay, silt, and sand), two source depths (3 and 8m), and two source concentrations (1 and 400 g/m(3)). Model sensitivity and uncertainty for shallow and high-concentration vapor sources (3m and 400 g/m(3)) are much smaller than for deep and low-concentration sources (8m and 1g/m(3)). For high-concentration sources, soil air permeability, indoor air exchange rate, and building depressurization (for high permeable soil like sand) are key contributors to model output uncertainty. For low-concentration sources, soil porosity, soil moisture, aerobic biodegradation rate and soil gas permeability are key contributors to model output uncertainty. Another important finding is that impacts of aerobic biodegradation on vapor intrusion potential of petroleum hydrocarbons are negligible when vapor source concentration is high, because of insufficient oxygen supply that limits aerobic biodegradation activities.
authors.affiliation: State Key Laboratory of Heavy Oil Processing, Beijing Key Lab of Oil & Gas Pollution Control, University of Petroleum-Beijing, Beijing 102249, China; College of Chemical Engineering, University of Petroleum-Beijing, Beijing 102249, China. Electronic address: majie@cup.edu.cn.
authors.forename: Jie
authors.initials: J
authors.lastname: Ma
authors.affiliation: State Key Laboratory of Heavy Oil Processing, Beijing Key Lab of Oil & Gas Pollution Control, University of Petroleum-Beijing, Beijing 102249, China; College of Chemical Engineering, University of Petroleum-Beijing, Beijing 102249, China. Electronic address: yangx@cup.edu.cn.
authors.forename: Guangxu
authors.initials: G
authors.lastname: Yan
authors.affiliation: State Key Laboratory of Heavy Oil Processing, Beijing Key Lab of Oil & Gas Pollution Control, University of Petroleum-Beijing, Beijing 102249, China; College of Chemical Engineering, University of Petroleum-Beijing, Beijing 102249, China.
authors.forename: Haiyan
authors.initials: H
authors.lastname: Li
authors.affiliation: State Key Laboratory of Heavy Oil Processing, Beijing Key Lab of Oil & Gas Pollution Control, University of Petroleum-Beijing, Beijing 102249, China; College of Chemical Engineering, University of Petroleum-Beijing, Beijing 102249, China.
authors.forename: Shaohui
authors.initials: S
authors.lastname: Guo
mesh_terms: D000393:Air Pollutants / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D016902:Air Pollution, Indoor / Q000032:analysis*; D001554:Benzene / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D001673:Biodegradation, Environmental; D008962:Models, Theoretical; D016062:Porosity; D012987:Soil / Q000737:chemistry; D012989:Soil Pollutants / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D035501:Uncertainty; D014835:Volatilization
chemical_list: D000393:Air Pollutants; D012987:Soil; D012989:Soil Pollutants; D001554:Benzene
keywords: Benzene; Reliability; Sensitivity analysis; Three dimensional; Uncertainty analysis