Jun Lu

发表

Bipolar Electrodes for Next‐Generation Rechargeable Batteries

Tiefeng Liu, Zhan Lin, Xinyong Tao, 2020, Advanced science.

Application of Bayesian Theory to Water Quality Comprehensive Assessment

Jun Lu, Mei Liu, 2012 .

Smart monitoring of underground railway by local energy generation

Yifeng Wang, Li Wang, Ping Wang, 2017 .

Identification of river water pollution characteristics based on projection pursuit and factor analysis

Hong Huang, Jun Lu, 2014, Environmental Earth Sciences.

Artificial neural network modelling of concentrations of nitrogen, phosphorus and dissolved oxygen in a non‐point source polluted river in Zhejiang Province, southeast China

Dingjiang Chen, Jun Lu, Dingjiang Chen, 2009 .

Effects of Land Use, Topography and Socio-Economic Factors on River Water Quality in a Mountainous Watershed with Intensive Agricultural Production in East China

Jun Lu, Jun Lu, Jiabo Chen, 2014, PloS one.

Combined inverse modeling approach and load duration curve method for variable nitrogen total maximum daily load development in an agricultural watershed

Dingjiang Chen, Jun Lu, Dingjiang Chen, 2011, Environmental science and pollution research international.

Estimation of critical nutrient amounts based on input-output analysis in an agriculture watershed of eastern China

Randy A. Dahlgren, Dingjiang Chen, Jun Lu, 2009 .

Support vector machine―an alternative to artificial neuron network for water quality forecasting in an agricultural nonpoint source polluted river?

Mei Liu, Jun Lu, Jun Lu, 2014, Environmental Science and Pollution Research.

A Bayesian approach for calculating variable total maximum daily loads and uncertainty assessment.

Dingjiang Chen, Jun Lu, R. Dahlgren, 2012, The Science of the total environment.