Dr. Guo Ping, Professor

　　Professor Guo Ping received the B.S. degree from Harbin Institute of Technology of Environmental Informatics in 1982, the M.S. degree from Northeast University of Environmental Informatics in 1988, the Ph.D. degree from University of Regina, Canada of Environmental Systems Engineering in 2009.

　　She was working in Automation Research and Design Institute of Metallurgy, Beijing, China, as an assistant engineer in 1988-1990 and engineer in 1991-1995, and in Comlink International Enterprises Limited, Beijing, China, as a manager/senior engineer in 1996-2001. She did research in Faculty of Information Management, Central University of Finance and Economics, Beijing, China in 2002-2004 as an associate professor and in University of Regina, Canada in 2005-2009 as a research assistant.

　　She worked as a professor in China Agricultural University since 2009.

　　For decades, considering the uncertainty and complexity of water resources system, she works on modeling development and optimization of water resources and hydrology, water quality, water management, and risk assessment. More than ten new approaches are proposed or improved for water resources system simulation and complex analysis, as well as water resources management. The methods include parameter uncertainty and relationship uncertainty among parameters. At the same time, for the results of the optimization, use post optimization analysis method to make the information management and decision support. The obtained results applied to the areas of water resources management, flood risk analysis, water quality management, ecology target risk analysis and so on. It also provides a number of optimal decisions for regional water resources management and pollution control. The developed models applied to Shiyang river basin, Huang river basin, Huai river basin and Hai river basin.

　　In recent 5 years, she published more than 30 SCI articles in the international journals, in which 17 articles are first author. Obtained the software copyright 2 items (032120613000051 - Digital control system of optimal allocation of water resources; 2013SRBJ0456 - Greenhouse irrigation optimization decision support system).　　 

　　Recent Research Grants

　　Subproject of research on the main process mechanism and simulation for crop growth founded by National High Technology Research and Development Program of China (863 Program) (2013AA102904) 2013-2017；

　　Subproject of research on intelligent intensive irrigation technology and water safeguard based on water rights founded by National international science and technology cooperation special project (2013DFG70990) 2013.4-2016.4；

　　The economic development planning and risk analysis based on water resources carrying capacity under uncertainty founded by National Natural Science Foundation of China General Program (41271536) 2013.1-2016.12

　　Subproject of research on ecological hydrological effects and multi-scale water use efficiency under oasis agriculture water-saving for Heihe basin founded by National Natural Science Foundation of China (91125017) 2012.1-2015.12；

　　Subproject of research on field water transformation and efficient control technology founded by the Governmental Public Research Funds for Projects of the Ministry of Agriculture (201203077-04) 2012.1-2016.12；

　　Subproject of research on crop water demand process control and efficient water use physiological regulation technology and products founded by National High Technology Research and Development Program of China (863 Program) (2011AA100502) 2011-2015；

　　Research on the optimization method under multiple uncertainties and its application in water resources planning founded by National Natural Science Foundation of China General Program (71071154) 2011.1-2013.12

　　Subproject of research on efficient irrigation technology for adjusting quality to water deficit in greenhouse of Shiyang River basin founded by the Governmental Public Research Funds for Projects of the Ministry of Water Resources (201001061-3) 2010.9-2013.9；

　　Subproject of research on the key technology of process control for controlling the ecological targets in Shiyang River Basin founded by the Governmental Public Research Funds for Projects of the Ministry of Water Resources (201001060-02) 2010.9-2013.9；

　　Subproject of research on agricultural nonpoint source water pollution risk and regulation in intensive cultivation areas founded by the Governmental Public Research Funds for Projects of the Ministry of Water Resources (200901083) 2009.10-2012.9；

　　Recent Publications in Reviewed Journals

　　Guo, P., Huang, G.H., He, L. and Sun, B.W., (2008). ITSSIP: Interval-parameter Two-stage Stochastic Semi-infinite Programming for Environmental Management under Uncertainty. Environmental Modeling & Software, 23: 1422-1437.

　　Guo, P., Huang, G.H., He, L. and Cai, Y.P., (2008). ICCSIP: An Inexact Chance-Constrained Semi-infinite Programming Approach for Energy Systems Planning under Uncertainty. Energy Sources Part A, 30(14), 1345 – 1366.

　　Guo, P., Huang, G.H. and He, L., (2008). ISMISIP: An Inexact Stochastic Mixed Integer Linear Semi-infinite Programming Approach for Solid Waste Management and Planning under Uncertainty. Stochastic Environmental Research and Risk Assessment, 22:759-775.

　　Guo, P., Huang, G.H. and Li, Y.P., (2008). Inexact Stochastic Quadratic Programming Approach for Municipal Solid Waste Management. Journal of Environmental Engineering and Science, 7(6): 569-579.

　　Guo, P., Huang, G.H., He, L. and Li, H.L., (2009). Interval-Parameter Fuzzy-Stochastic Semi-Infinite Mixed-Integer Linear Programming for Waste Management under Uncertainty. Environmental Modeling and Assessment, 14(4):521-537.

　　Guo, P., Huang, G.H., He, L. and Zhu, H. (2009). Interval-parameter Two-stage Stochastic Semi-infinite Programming: Application to Water Resources Management under Uncertainty. Water Resources Management, 23:1001–1023.

　　Guo, P. and Huang, G.H., (2009). Two-Stage Fuzzy Chance-Constrained Programming: Application to Water Resources Management under Dual Uncertainties. Stochastic Environmental Research and Risk Assessment, 23:349-359.

　　Li, Y.P., Huang, G.H. and Guo, P., Nie, S.L., (2009). A dual-interval vertex analysis method and its application to environmental decision making under uncertainty. European Journal of Operational Research, 200(2): 536-550.

　　Zhu, H., Huang, G. H., Guo, P. and Qin, X. S., (2009). A Fuzzy Robust Nonlinear Programming Model for Stream Water Quality Management. Water Resources Management, 23:2913–2940.

　　Guo, P. and Huang, G.H., (2009). Inexact fuzzy-stochastic mixed-integer programming approach for long-term planning of waste management – Part A: Methodology. Journal of Environmental Management 91: 461–470.

　　Guo, P. and Huang, G.H., (2009). Inexact fuzzy-stochastic mixed-integer programming approach for long-term planning of waste management–Part B: Case Study. Journal of Environmental Management 91: 441–460.

　　Guo, P. and Huang, G.H., (2010). Interval-parameter semi-infinite fuzzy-stochastic mixed-integer programming approach for environmental management under multiple uncertainties. Waste Management, 30(3):521-531.

　　Guo, P., Huang, G.H. and Li, Y.P., (2010). An inexact fuzzy-chance-constrained two-stage mixed-integer linear programming approach for flood diversion planning under multiple uncertainties. Advances in Water Resources, 33:81-91.

　　Guo, P., Huang, G.H. and Li, Y.P., (2010). Inexact Fuzzy-Stochastic Programming for Water Resources Management under Multiple Uncertainties. Environmental Modeling and Assessment 15(2):111-124.

　　Li, Y.P., Huang, G.H. and Guo, P., Nie, S.L., (2010). Interval-fuzzy possibilistic mixed integer linear programming for environmental management under uncertainty. The International Journal of Environment and Pollution 42(1)：107-124.

　　Guo, P. and Huang, G.H., (2011). Inexact Fuzzy-Stochastic Quadratic Programming Approach for Waste Management under Multiple Uncertainties. Engineering Optimization, 43(5):525-539

　　Guo, P., Huang, G.H., Zhu, H. and Wang, X.L.(2010).A two-stage programming approach for water resources management under randomness and fuzziness. Environmental Modeling & Software,25（12）:1573-1581

　　Zeng, Xieting, Kang, Shaozhong, Li, Fusheng, Zhang, Lu and Guo, Ping. (2011). Fuzzy multi-objective linear programming applying to crop area planning. Agricultural Water Management, 98(1):134-142

　　Zhu, H., Huang, G. H. and Guo, P. (2012). SIFNP: Simulation-Based Interval-Fuzzy Nonlinear Programming for Seasonal Planning of Stream Water Quality Management, Water, Air, & Soil Pollution, 223(5): 2051-2072  (Springer, SCI IF = 1.765).

　　Fan, Y.R., Huang, G.H. Guo, P., Yang, A.L., (2012) Inexact two-stage stochastic partial programming: application to water resources management under uncertainty. Stochastic Environmental Research and Risk Assessment, 26:281–293

　　Huo, Zailin, Feng, Shaoyuan, and Guo, Ping (2011). Integrated neural networks to estimate the monthly river flow of an arid inland basin in Northwest China. Hydrological Science Journal, 159:420-421

　　Gu, J. J., Guo, P., Huang, G. H., Shen, N. (2012). Optimization of the industrial structure facing sustainable development in resource-based city subjected to water resources under uncertainty, Stochastic Environmental Research and Risk Assessment,27(3): 659-673

　　Ping Guo, Xiaohong Chen, Ling Tong, Jianbing Li, and Mo Li (2012) An Optimization Model for Crop Deficit Irrigation System under Uncertainty. Engineering Optimization, DOI:10.1080/0305215X.2012.737786

　　J.J.Gu, P. Guo, G. H. Huang (2012). Inexact stochastic dynamic programming method and application to water resources management in Shandong China under uncertainty. Stochastic Environmental Research and Risk Assessment, 27(5):1~13.

　　M. Li, P. Guo, S. Q. Fang, L. D. Zhang, (2013).An inexact fuzzy-parameter two-stage stochastic programming model for irrigation water allocation under uncertainty. Stochastic Environmental Research and Risk Assessment, 27(6):1441-1452.

　　C. F. Ren, P. Guo, M. Li, J. J. Gu, (2013).Optimization of industrial structure considering the uncertainty of water resources. Water Resources Management, 27(11): 3885-3898.

　　Fangfang Tong, Ping Guo, (2013). Simulation and optimization for crop water allocation based on crop water production functions and climate factor under uncertainty. Applied Mathematical Modelling, 37: 7708–7716.

　　Shiqi Fang, Ping Guo, Mo Li, Liudong Zhang, (2013). Bilevel Multiobjective Programming Applied to Water Resources Allocation. Mathematical Problems in Engineering, 2013, 9 pages, http://dx.doi.org/10.1155/2013/837919.

　　Mo Li, Ping Guo, Yinhuan Fu (2013). Optimization irrigation schedule and risk analysis for main crops in Minqin County. Journal of irrigation and drainage, 32（1）:91～95.

　　Fangfang Tong, Ping Guo (2013). Forecast of irrigation water amount considering uncertainty of water runoff. Journal of agricultural engineering, 29(7)：66-76.

　　Guo, P., Wang, X., Zhu, H., Li, M., (2013). Inexact Fuzzy Chance-Constrained Nonlinear Programming Approach for Crop Water Allocation under the Precipitation Variation and Sustainable Development. Journal of Water Resources Planning and Management. DOI: 10.1061/(ASCE)WR.1943-5452.0000385.

　　Mo Li, Ping Guo, Xianxian Yang (2013). Research on multi-objective model for crop planting structure based on the fractional programming under uncertainty. Water Saving Irrigation, 09:79-81, 89.

　　Mo Li, Ping Guo, Xiao Liu, Guanhua Huang, Zailin Huo, (2013). A decision-support system for cropland irrigation water management and agricultural nonpoint sources pollution control, Desalination and Water Treatment, (2013):1-12, DOI:10.1080/19443994.2013.846060.

　　Ping Guo, Xiaohong Chen, Mo Li, Jianbing Li, (2013). Fuzzy chance-constrained linear fractional programming approach for optimal water allocation, Stochastic Environmental Research and Risk Assessment, DOI 10.1007/s00477-013-0810-2.

　　Chen Jinliang, Kang Shaozhong, Du Taisheng, Qiu Rangjian, Guo Ping, Chen Renqiang (2013), Quantitative response of greenhouse tomato yield and quality to water deficit at different growth stages. Agriculture water management, 129: 152-162.

　　Mo Li, Ping Guo, Gaiqiang Yang, Shiqi Fang. IB-ICCMSP: An integrated irrigation water optimal allocation and planning model based on inventory theory under uncertainty. Water Resources Management, 2014, 28 (1): 241-260.

　　Zhang Liudong, Guo Ping, Fang Shiqi, Li Mo. Monthly optimal reservoirs operation for multicrop deficit irrigation under fuzzy stochastic uncertainties. Journal of Applied Mathematics, 2014. Doi: http://dxdoi.org/10.1155/2014/105391. No.: 105391, 11pages.

　　Yang Xianxian, Guo Ping, Li Mo. Fraction-Programming-Based Crop Area Planning under Engineering Water-saving. 2014 International Conference on Management and Engineering. (EI)

　　Zhang Dongmei, Guo Ping, Chen Jinliang, Jiang Chong. Greenhouse irrigation optimization decision support system. IFIP Advances in Information and Communication Technology series, CCTA2013 (0420). (EI)

　　Mo Li, Ping Guo. A multi-objective optimal allocation model for irrigation water resources under multiple uncertainties. Applied Mathematical Modelling, 2014. Doi: http://dx.doi.org/10.1016/j.apm.2014.03.043.

　　Mo Li, Ping Guo, Liudong Zhang, Jianming Zhao. Multi-dimensional critical regulation control modes and water optimal allocation for irrigation system in the middle reaches of Heihe River basin, China. Ecological Engineering, 2014. Doi: http://dx.doi.org/10.1016/j.ecoleng.2014.03.036. 

　　Contact

　　Mailing Address: No.17 Tsinghuadong Street, Beijing 100083, P.R. China

　　Phone: (8610) 62738496  

　　E-mail: guop@cau.edu.cn