Jiping Jiang

发表

Quantitative design of emergency monitoring network for river chemical spills based on discrete entropy theory.

Yi Zheng, Bellie Sivakumar, Bin Shi, 2018, Water research.

Research on information technology teaching material's inadaptability in primary and middle schools in Less-developed areas

Sujun Zhang, Jiping Jiang, Jinyan Hu, 2011, 2011 3rd International Conference on Computer Research and Development.

A two-stage optimization model for emergency material reserve layout planning under uncertainty in response to environmental accidents.

Liang Guo, Jie Liu, Peng Wang, 2016, Journal of hazardous materials.

Monthly water quality forecasting and uncertainty assessment via bootstrapped wavelet neural networks under missing data for Harbin, China

Yi Wang, Yuanyuan Wang, Ying Zhao, 2013, Environmental Science and Pollution Research.

Screening of pollution control and clean-up materials for river chemical spills using the multiple case-based reasoning method with a difference-driven revision strategy

Liang Guo, Jie Liu, Bin Shi, 2016, Environmental Science and Pollution Research.

Evaluation and selection of emergency treatment technology based on dynamic fuzzy GRA method for chemical contingency spills.

Liang Guo, Jie Liu, Peng Wang, 2015, Journal of hazardous materials.

Information flow in the river

Yi Zheng, Jiping Jiang, Tiangrui Pang, 2018 .

A GIS-based generic real-time risk assessment framework and decision tools for chemical spills in the river basin.

Mei Li, Liang Guo, Jiping Jiang, 2012, Journal of hazardous materials.

A comprehensive review on the design and optimization of surface water quality monitoring networks

Guangtao Fu, Yi Zheng, Dimitri P. Solomatine, 2020, Environ. Model. Softw..

Emergency Decision-Making Case Base System for River Region Based on CBR-AHP

Ying Liu, Yi Wang, Peng Wang, 2009, 2009 International Conference on Energy and Environment Technology.

Emergency material allocation and scheduling for the application to chemical contingency spills under multiple scenarios

Jie Liu, Peng Wang, Jiping Jiang, 2016, Environmental Science and Pollution Research.

A Cascade Comprehensive Framework for Emergency Response to Water Pollution Incidents from Monitoring to Disposal Engineering: Water Security Protection on South-To-North Water Division Project

Bin Shi, Peng Wang, Jiping Jiang, 2016 .

Engineering risk assessment for emergency disposal projects of sudden water pollution incidents

Bin Shi, Peng Wang, Jiping Jiang, 2017, Environmental Science and Pollution Research.

Emergency material allocation with time-varying supply-demand based on dynamic optimization method for river chemical spills

Liang Guo, Jie Liu, Peng Wang, 2018, Environmental Science and Pollution Research.

A comparative study of statistical learning methods to predict eutriphication tendency in a reservoir, northeast China

Liang Guo, Yi Wang, Peng Wang, 2011, 2011 Second International Conference on Mechanic Automation and Control Engineering.

A Bayesian method for multi-pollution source water quality model and seasonal water quality management in river segments

Peng Wang, Lucy Marshall, Ashish Sharma, 2014, Environ. Model. Softw..

A hybrid wavelet-Lyapunov exponent model for river water quality forecast

Bellie Sivakumar, Jiping Jiang, Sijie Tang, 2021 .

A Multi-variable & Multi-objective Optimization Framework for LID Layout in Sponge City

Jiping Jiang, Yi Zheng, Sijie Tang, 2021 .

Applying high-frequency surrogate measurements and a wavelet-ANN model to provide early warnings of rapid surface water quality anomalies.

Peng Wang, Jiping Jiang, Rentao Liu, 2018, The Science of the total environment.

Development of a novel mobile industrial-scale fluidized adsorption process for emergency treatment of water polluted by aniline: CFD simulation and experiments

Nannan Wang, Tong Zheng, Wei Zheng, 2016 .

Inverse uncertainty characteristics of pollution source identification for river chemical spill incidents by stochastic analysis

Yixing Yuan, Yi Zheng, Jiping Jiang, 2018, Frontiers of Environmental Science & Engineering.