2019
Land use regression study in Lanzhou, China: A pilot sampling and spatial characteristics of pilot sampling sites
Jin L, Berman J, Zhang Y, Thurston G, Zhang Y, Bell M. Land use regression study in Lanzhou, China: A pilot sampling and spatial characteristics of pilot sampling sites. Atmospheric Environment 2019, 210: 253-262. DOI: 10.1016/j.atmosenv.2019.02.043.Peer-Reviewed Original ResearchFuture extended studyLand-use regression studiesKriging modelPredictor distributionLUR modelsAir pollution distributionUniversal krigingPilot samplingStratified-random samplingOrdinary krigingLand use regressionSpatial predictorsKrigingAICLinear regression modelsMonitoring networkSampling sitesRoad networkPollution distributionModelPalmes tubesNetworkSmall-scale spatial variationSubstantial spatial heterogeneityLowest AICA land use regression model of nitrogen dioxide and fine particulate matter in a complex urban core in Lanzhou, China
Jin L, Berman JD, Warren JL, Levy JI, Thurston G, Zhang Y, Xu X, Wang S, Zhang Y, Bell ML. A land use regression model of nitrogen dioxide and fine particulate matter in a complex urban core in Lanzhou, China. Environmental Research 2019, 177: 108597. PMID: 31401375, DOI: 10.1016/j.envres.2019.108597.Peer-Reviewed Original ResearchConceptsHigh-rise buildingsVertical variationVertical concentration gradientsLUR modelsVertical profile measurementsHigh spatial resolutionGround levelGround-level NOProfile measurementsOgawa badgesLanzhou urban areaConcentration heterogeneitySpatial resolutionRoad networkConcentration gradientBuildingsAverage seasonal concentrationsParticulate matterHigh densityGovernment monitorsLand coverLand use regression modelsSpatial variationSubstantial spatial variationVariation function
2017
Modeling the intraurban variation in nitrogen dioxide in urban areas in Kathmandu Valley, Nepal
Gurung A, Levy JI, Bell ML. Modeling the intraurban variation in nitrogen dioxide in urban areas in Kathmandu Valley, Nepal. Environmental Research 2017, 155: 42-48. PMID: 28189072, DOI: 10.1016/j.envres.2017.01.038.Peer-Reviewed Original Research