Selected publication-Wu hongjing

  • Meng, X.Y., Wang, H., Lei, X.H., Cai, S.Y., Wu, H.J., Ji, X.N., and Tao, H. (2017). Hydrological Modeling in the Manas River Basin Using Soil and Water Assessment Tool Driven by CMADS. Tehnicki Vjesnik-Technical Gazette, 24(2), 209-218.

 

  • Meng, X.Y., Wu, H.J., Lei, X.H., Wang, J.H., Qin, T., Shang, Y.Z., Yin, G., Long, A.H., and Ji. X.N. (2017). Applying Environmental Management System (EMS) to Administrate Municipal Solid Waste (MSW) Industry: A Case Study of Shanghai, China. Journal of Residuals Science and Technology, 14(2), 171-182.
  • Wu, H.J., and Chen, B. (2015). Evaluating uncertainty estimates in distributed hydrological modeling for the Wenjing River watershed in China by GLUE, SUFI-2, and ParaSol methods. Ecological Engineering, 79, 110-121, 10.1016/j.ecoleng.2014.05.014/

 

  • Wu, H.J., Chen, B., Snelgrove, K., and Lye, L.M. (2015). Quantification of uncertainty propagation effects during statistical downscaling of precipitation and temperature to hydrological modeling. Journal of Environmental Informatics,

 

  • Chen, B., Li P., Wu, H.J., Husain, T., and Khan, F. (2015). MCFP: a Monte Carlo Simulation based Fuzzy Programming Approach for Municipal Solid Waste Management under Dual Uncertainties of Possibility and Continuous Probability. Journal of Environmental Informatics, doi:10.3808/jei.201500293.

 

  • Zheng, J.S., Liu, B., Ping, J., Chen, B., Wu, H.J., and Zhang, B.Y. (2015). Vortex and shaker assisted liquid-liquid micro extraction (VSA-LLME) coupled with gas chromatography and mass spectrometry (GC-MS) for analysis of 16 polycyclic aromatic hydrocarbons (PAHs) in offshore produced water. Water, Air, and Soil Pollution, doi: 10.1007/s11270-015-2575-3.

 

  • Wu, H.J., and Chen, B. (2014). Using Statistical and Probabilistic Methods to Evaluate Health Risk Assessment: A case study. Toxics,2(2), 291-306; doi:3390/toxics2020291.

 

  • Xue, C., Chen, B., and Wu, H.J. (2014). Parameter uncertainty analysis of Surface flow and Sediment Yield in the Huolin Basin in China. Journal of Hydrologic Engineering, 19(6), 1224-1236, 10.1061/(ASCE)HE.1943-5584.0000909.

 

  • Li, P., Chen B., Li, Z.L., Zheng, X. Wu, H.J., Jing L., and Lee K. (2014), “A Monte Carlo Simulation-based Two-Stage Adaptive Resonance Theory Mapping Model for Site Classification in Offshore Oil Spill Monitoring”, Marine Pollution Bulletin, 86(1-2):434-442.

 

  • Li, P., Wu, H.J., and Chen, B. (2013). RSW-MCFP: A Resource-oriented Solid Waste Management System for a Mixed Rural-Urban Area through Monte Carlo Simulation-Based Fuzzy programming. Mathematical Problems in Engineering, 2013, Article ID 780354, doi:10.1155/2013/780354.

 

  • Meng, X.Y., Liu, Z.H., Du, J., Lin, H, and Wu, H.J. (2013). Design and Application of Tarim Desertification Monitoring and Early Warning System. Computer Technology and Development, 2013-05 (In Chinese).

 

  • Wu, H.J., Lye, L. and Chen, B. (2012). A design of experiment aided sensitivity analysis and parameterization for hydrological modeling. Canadian Journal of Civil Engineering, 39, 460-472.