Search Results - "Ivatt, Peter D"

Improving the prediction of an atmospheric chemistry transport model using gradient-boosted regression trees by Ivatt, Peter D, Evans, Mathew J

“…Predictions from process-based models of environmental systems are biased, due to uncertainties in their inputs and parameterizations, reducing their utility…”
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Global Cancer Risk From Unregulated Polycyclic Aromatic Hydrocarbons by Kelly, Jamie M., Ivatt, Peter D., Evans, Mathew J., Kroll, Jesse H., Hrdina, Amy I. H., Kohale, Ishwar N., White, Forest M., Engelward, Bevin P., Selin, Noelle E.

“…In assessments of cancer risk from atmospheric polycyclic aromatic hydrocarbons (PAHs), scientists and regulators rarely consider the complex mixture of…”
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Suppression of surface ozone by an aerosol-inhibited photochemical ozone regime by Ivatt, Peter D., Evans, Mathew J., Lewis, Alastair C.

“…Atmospheric ozone (O 3 ) is a pollutant produced through chemical chain reactions where volatile organic compounds (VOCs), carbon monoxide and methane are…”
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Sensitivities of Ozone Air Pollution in the Beijing–Tianjin–Hebei Area to Local and Upwind Precursor Emissions Using Adjoint Modeling by Wang, Xiaolin, Fu, Tzung-May, Zhang, Lin, Cao, Hansen, Zhang, Qiang, Ma, Hanchen, Shen, Lu, Evans, Mathew J, Ivatt, Peter D, Lu, Xiao, Chen, Youfan, Zhang, Lijuan, Feng, Xu, Yang, Xin, Zhu, Lei, Henze, Daven K

“…Effective mitigation of surface ozone pollution entails detailed knowledge of the contributing precursors’ sources. We use the GEOS-Chem adjoint model to…”
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Development and evaluation of a new compact mechanism for aromatic oxidation in atmospheric models by Bates, Kelvin H, Jacob, Daniel J, Li, Ke, Ivatt, Peter D, Evans, Mat J, Yan, Yingying, Lin, Jintai

“…Aromatic hydrocarbons, including benzene, toluene, and xylenes, play an important role in atmospheric chemistry, but the associated chemical mechanisms are…”
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A machine learning methodology for the generation of a parameterization of the hydroxyl radical by Anderson, Daniel C, Follette-Cook, Melanie B, Strode, Sarah A, Nicely, Julie M, Liu, Junhua, Ivatt, Peter D, Duncan, Bryan N

“…We present a methodology that uses gradient-boosted regression trees (a machine learning technique) and a full-chemistry simulation (i.e., training dataset)…”
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An improved low-power measurement of ambient NO 2 and O 3 combining electrochemical sensor clusters and machine learning by Smith, Kate R., Edwards, Peter M., Ivatt, Peter D., Lee, James D., Squires, Freya, Dai, Chengliang, Peltier, Richard E., Evans, Mat J., Sun, Yele, Lewis, Alastair C.

“…Low-cost sensors (LCSs) are an appealing solution to the problem of spatial resolution in air quality measurement, but they currently do not have the same…”
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Low-NO atmospheric oxidation pathways in a polluted megacity by Newland, Mike J, Bryant, Daniel J, Dunmore, Rachel E, Bannan, Thomas J, Acton, W. Joe F, Langford, Ben, Hopkins, James R, Squires, Freya A, Dixon, William, Drysdale, William S, Ivatt, Peter D, Evans, Mathew J, Edwards, Peter M, Whalley, Lisa K, Heard, Dwayne E, Slater, Eloise J, Woodward-Massey, Robert, Ye, Chunxiang, Mehra, Archit, Worrall, Stephen D, Bacak, Asan, Coe, Hugh, Percival, Carl J, Hewitt, C. Nicholas, Lee, James D, Cui, Tianqu, Surratt, Jason D, Wang, Xinming, Lewis, Alastair C, Rickard, Andrew R, Hamilton, Jacqueline F

“…The impact of emissions of volatile organic compounds (VOCs) to the atmosphere on the production of secondary pollutants, such as ozone and secondary organic…”
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An improved low-power measurement of ambient NO.sub.2 and O.sub.3 combining electrochemical sensor clusters and machine learning by Smith, Kate R, Edwards, Peter M, Ivatt, Peter D, Lee, James D, Squires, Freya, Dai, Chengliang, Peltier, Richard E, Evans, Mat J, Sun, Yele, Lewis, Alastair C

“…Low-cost sensors (LCSs) are an appealing solution to the problem of spatial resolution in air quality measurement, but they currently do not have the same…”
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An improved low-power measurement of ambient NO2 and O3 combining electrochemical sensor clusters and machine learning by Smith, Kate R, Edwards, Peter M, Ivatt, Peter D, Lee, James D, Squires, Freya, Dai, Chengliang, Peltier, Richard E, Evans, Mat J, Sun, Yele, Lewis, Alastair C

“…Low-cost sensors (LCSs) are an appealing solution to the problem of spatial resolution in air quality measurement, but they currently do not have the same…”
Get full text