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