Yongtao Hu

发表

Bearing Fault Diagnosis Based on Extreme Machine Learning Optimized by Differential Evolution

Qiang Zhou, Gao Jinfeng, Yongtao Hu, 2020, 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM).

Fault Diagnosis of Chemical Processes Based on k-NN Distance Contribution Analysis Method

Yongtao Hu, Guozhu Wang, Zhiyong Du, 2019, 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS).

Downscaling a Global Climate Model to Simulate Climate Change Impacts on U.S. Regional and Urban Air Quality

Athanasios Nenes, Yongtao Hu, Armistead G. Russell, 2013 .

IMPLEMENTATION OF A DIRECT SENSITIVITY METHOD INTO CMAQ

Yongtao Hu, Armistead G. Russell, M. Talat Odman, 2002 .

Area of influence (AOI) development: fast generation of receptor-oriented sensitivity fields for use in regional air quality modeling.

Armistead G Russell, Yongtao Hu, Florian D Habermacher, 2007, Environmental science & technology.

Scalable asynchronous localization algorithm with mobility prediction for underwater wireless sensor networks

Yongtao Hu, Rong-Rong Yin, Ming-Ru Dong, 2021 .

Deep-Learning Spatial Principles from Deterministic Chemical Transport Model for Chemical Reanalysis: An Application in China for PM2.5

Yongtao Hu, Baolei Lyu, Ran Huang, 2021 .

Decoupled direct 3D sensitivity analysis for particulate matter (DDM-3D/PM)

Yongtao Hu, Sergey L. Napelenok, Armistead G. Russell, 2006 .

Air quality impacts from prescribed forest fires under different management practices.

Armistead G Russell, Yongtao Hu, Yuhang Wang, 2008, Environmental science & technology.

Alper Unal, Yongtao Hu, Armistead G. Russell, 2005 .

Top-down analysis of the elemental carbon emissions inventory in the United States by inverse modeling using Community Multiscale Air Quality model with decoupled direct method (CMAQ-DDM)

Yongtao Hu, Armistead G. Russell, M. Talat Odman, 2009 .

Evaluation of Fine Particle Number Concentrations in CMAQ

Yongtao Hu, Sun-Kyoung Park, Armistead G. Russell, 2006 .

Operational forecasting of source impacts for dynamic air quality management

Yongtao Hu, Armistead G. Russell, Michael E. Chang, 2015 .

Dependence of ozone sensitivity analysis on grid resolution

Yongtao Hu, Armistead G. Russell, Daniel S. Cohan, 2006 .

Impacts of potential CO2-reduction policies on air quality in the United States.

Armistead G Russell, Peng Liu, Yongtao Hu, 2015, Environmental science & technology.

Application of OMI observations to a space-based indicator of NO x and voe controls on surface ozone formation

Yongtao Hu, Bryan N. Duncan, Lok N. Lamsal, 2011 .

Organic composition of carbonaceous aerosols in an aged prescribed fire plume

Yongtao Hu, Armistead G. Russell, A. Russell, 2007 .

Differences between downscaling with spectral and grid nudging using WRF

Brian Stone, Yongtao Hu, Armistead G. Russell, 2012 .

Modeling biomass burnings by coupling a sub-grid scale plume model with Adaptive Grid CMAQ

Yongtao Hu, Aika Yano, M. Talat Odman, 2010 .

Improving the Accuracy of Daily PM2.5 Distributions Derived from the Fusion of Ground-Level Measurements with Aerosol Optical Depth Observations, a Case Study in North China.

Armistead G Russell, Yuqi Bai, Yongtao Hu, 2016, Environmental science & technology.

Nonlinear response of ozone to emissions: source apportionment and sensitivity analysis.

Armistead G Russell, Yongtao Hu, Daniel S Cohan, 2005, Environmental science & technology.

Uncertainty Analysis of Ozone Formation and Response to Emission Controls Using Higher-Order Sensitivities

Yongtao Hu, Armistead G. Russell, Michael E. Chang, 2010, Journal of the Air & Waste Management Association.

Daily estimation of ground-level PM2.5 concentrations at 4km resolution over Beijing-Tianjin-Hebei by fusing MODIS AOD and ground observations.

Armistead G Russell, Bing Xu, Yuqi Bai, 2017, The Science of the total environment.

Air quality modeling for accountability research: Operational, dynamic, and diagnostic evaluation

Yongtao Hu, James A. Mulholland, Armistead G. Russell, 2017 .

Determining the Sources of Regional Haze in the Southeastern United States Using the CMAQ Model

Alper Unal, Yongtao Hu, Armistead G. Russell, 2007 .

Sensitivity of air quality to potential future climate change and emissions in the United States and major cities

Yongtao Hu, Armistead G. Russell, M. Trail, 2014 .

Decoupled direct sensitivity analysis of regional ozone pollution over the Pearl River Delta during the PRIDE-PRD2004 campaign

Min Hu, Yongtao Hu, Armistead G. Russell, 2011 .

Improving PM2.5 Air Quality Model Forecasts in China Using a Bias-Correction Framework

Yongtao Hu, Yuzhong Zhang, Baolei Lyu, 2017 .

Sensitivity of inverse estimation of 2004 elemental carbon emissions inventory in the United States to the choice of observational networks

Yongtao Hu, Sergey L. Napelenok, Armistead G. Russell, 2009 .

Uncertainty in air quality model evaluation for particulate matter due to spatial variations in pollutant concentrations

Yongtao Hu, James A. Mulholland, Sun-Kyoung Park, 2006 .

Development of the high-order decoupled direct method in three dimensions for particulate matter: enabling advanced sensitivity analysis in air quality models

Yongtao Hu, Sergey L. Napelenok, Armistead G. Russell, 2011 .

Source apportionment of fine particulate matter during autumn haze episodes in Shanghai, China

Li Li, Yongtao Hu, Armistead G. Russell, 2014 .