姓名：郭萍；單位：水利工程系；職稱：教授

      簡介：郭萍，女，1963年10月生，黑龍江慶安人，1982年7月參加工作，加拿大里賈納大學環境工程專業博士研究生畢業。1982、1988和2009年分別在哈爾濱工業大學、東北大學和加拿大里賈納大學獲得學士、碩士和博士學位；2009年12月起任中國農業大學水利與土木工程學院教授、博士生導師。
◆研究領域
?不確定性條件下水資源及環境管理研究
?不確定性條件下水資源承載力研究
?風險分析模型
?流域綜合決策支持系統
◆科研項目
    先后主持和參加國家自然科學基金項目、國家“863”計劃課題、省部級公益項目等20多項。近年主持/參加的主要科研項目：
1)十三五國家重點研發計劃課題：甘肅內陸河區高效節水灌溉技術研究與集成應用，所屬項目西北典型農區高效節水灌溉技術與集成應用（2016YFC0400207）2016.7-2020.12. 參加
2)十三五國家重點研發計劃課題：節水灌溉效率與生境效應評價技術與方法，所屬項目東北糧食主產區高效節水灌溉技術與集成應用（2016YFC0400107）2016.7-2020.12. 參加 
3)國家自然基金創新研究群體科學基金：農業水轉化多過程驅動機制與效率提升(51621061) 2017.1-2019.12. 參加
4)國家自然基金重大研究計劃集成項目：黑河流域綠洲農業水轉化多過程耦合與高效用水調控 (91425302) 2015.1-2018.12. 參加
5)水利部公益項目：灌區農業水生產力多要素協同提升關鍵技術（201501017）2015.1-2018.12. 參加
6)國家高技術研究發展計劃(863)：作物生長發育主要過程機理與模擬研究(2013AA102904-1）2013.1-2017.12. 參加.
7)國 家 國 際 科 技 合 作 專 項 項 目——基于水權的智能精細化灌溉技術及水安全保障研究(2013DFG70990) 2013.4-2016.3 參加
8)國家自然基金面上項目：基于不確定條件下水資源承載力的經濟發展規劃風險分析（41271536）2013.1-2016.12. 主持
9)教育部博士點基金：基于不確定條件下的水資源脆弱性分析及水管理模型研究(20130008110021) 2014.1-2016.12. 主持
10)農業部公益項目：田間水分轉化與高效調控技術研究（201203077-04）中的一個子課題2012.1-2016.12. 參加
◆論著及成果
    獲得計算機軟件著作權3項，在申請2項。分別為《Journal of Environmental Informatics》, 《Journal of Cleaner Production》, 《Journal of Hydrology》, 《Agricultural Water Management》, 《Stochastic Environmental Research and Risk Assessment》等國際頂級學術雜志審稿。評審博士生和碩士生畢業論文和國家自然科學基金等。
創新成果包括：針對復雜不確定條件下的區域水資源管理，提出水資源系統多重不確定性分析方法；對于不確定性環境下不同尺度灌溉水土資源配置，提出反映不確定性的水土資源系統高效配置模型與方法以及不確定性條件下水資源與環境風險度量和評價。
先后以第一作者/通訊作者在《Advances in Water Resources》、《Environmental Modeling and Software》、《Applied Mathematical Modelling》、《Agricultural Systems》、《Stochastic Environmental Research and Risk Assessment》、《Journal of Environmental Management》、《Agricultural Water Management》、《Waste Management》、《Water Resources Management》、《Journal of Water Resources Planning and Management》及《農業工程學報》、《農業機械學報》等國內外期刊上公開發表學術論文80余篇，其中SCI/EI收錄論文共50余篇。
發表的相關論文有：
[1].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.
[2].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.
[3].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.
[4].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
[5].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.
[6].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.
[7].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.
[8].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.
[9].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.
[10].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.
[11].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.
[12].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.
[13].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.
[14].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
[15].Guo P, Chen X, Tong L, Li J, et al., (2014). An optimization model for crop deficit irrigation system under uncertainty. Engineering Optimization, 2014, 46 (1): 1~14.
[16].Guo P, Wang X, Zhu H, et al., (2014). Inexact fuzzy chance-constrained nonlinear programming approach for crop water allocation under precipitation variation and sustainable development. Journal of Water Resources Planning & Management, 140 (9): 05014003.
[17].Guo P, Chen X, Li M, et al., (2014). Fuzzy chance-constrained linear fractional programming approach for optimal water allocation. Stochastic Environmental Research & Risk Assessment, 28 (6): 1601-1612.
[18].Gu 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.
[19].Gu J., Guo P., Huang G. H, (2013). 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.
[20].Gu J., Huang G.H., Guo P. et al., (2013). Interval multistage joint-probabilistic integer programming approach for water resources allocation and management. Journal of Environmental Management, 2013, 128: 615-624.
[21].Li M., Guo P., Fang S., et al., (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.
[22].Ren C., Guo P., Li M., et al., (2013). Optimization of industrial structure considering the uncertainty of water resources. Water Resources Management, 27 (11): 3885-3898.
[23].Tong F, Guo P, (2013). Simulation and optimization for crop water allocation based on crop water production functions and climate factor under uncertainty [J]. Applied Mathematical Modelling, 37 (14-15): 7708–7716.
[24].Fang S, Guo P, Li M, et al., (2013). Bilevel multiobjective programming applied to water resources allocation. Mathematical Problems in Engineering, 23 (1): 1-11.
[25].Li M, Guo P, Liu X, et al., (2014). A decision-support system for cropland irrigation water management and agricultural non-point sources pollution control. Desalination & Water Treatment, 52 (25): 5106-5117.
[26].Li M, Guo P, Yang G, et al., (2014). IB-ICCMSP: An integrated irrigation water optimal allocation and planning model based on inventory theory under uncertainty. Water Resources Management, 28 (1): 241-260.
[27].Li M, Guo P, (2014). A multi-objective optimal allocation model for irrigation water resources under multiple uncertainties. Applied Mathematical Modelling, 38 (19-20): 4897–4911.
[28].Zhang L, Guo P, Fang S, et al., (2014). Monthly optimal reservoirs operation for multicrop deficit irrigation under fuzzy stochastic uncertainties. Journal of Applied Mathematics, 25 (1): 155-184.
[29].Fu, Y., Li, M., Guo, P, (2014). Optimal allocation of water resources model for different growth stages of crops under uncertainty. Journal of Irrigation and Drainage Engineering, 140 (6), 05014003.
[30].Li M, Guo P, Zhang L, et al., (2015). Multi-dimensional critical regulation control modes and water optimal allocation for irrigation system in the middle reaches of Heihe River basin, China. Ecological Engineering, 76: 166–177.
[31].Yang G, Guo P, Huo L, et al., (2015). Optimization of the irrigation water resources for Shijin irrigation district in north China. Agricultural Water Management, 158:82–98.
[32].Li M, Guo P, (2015). A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China. Agricultural Water Management, 155: 53–66.
[33].Li M, Guo P, Ren C, (2015). Water Resources Management Models Based on Two-Level Linear Fractional Programming Method under Uncertainty. Journal of Water Resources Planning & Management. 141 (9): 05015001. DOI: 10.1061/(ASCE)WR.1943-5452.0000518
[34].Yang G, Guo P, Li M, et al., (2015). An Improved Solving Approach for Interval-Parameter Programming and Application to an Optimal Allocation of Irrigation Water Problem [J]. Water Resources Management, 30 (2): 701-729.
[35].Ren C, Guo P, Li M, et al., (2016). An innovative method for water resources carrying capacity research - Metabolic theory of regional water resources. Journal of Environmental Management, 167: 139-146.
[36].Zhang D, Guo P, (2016). Integrated agriculture water management optimization model for water saving potential analysis. Agricultural Water Management, 170: 5-19.
[37].Li M, Guo P, Singh V P, (2016). An efficient irrigation water allocation model under uncertainty. Agricultural Systems, 144: 46-57.
[38].Gu J, Li M, Guo P, et al., (2016). Risk assessment for ecological planning of arid inland river basins under hydrological and management uncertainties. Water Resources Management, 30 (4): 1415-1431.
[39].Li M, Guo P, Singh V P, (2016). Biobjective optimization for efficient irrigation under fuzzy uncertainty. Journal of Irrigation & Drainage Engineering, 142 (8): 05016003. DOI: 10.1061/ (ASCE) IR. 1943-4774.0001035.
[40].Li M, Guo P, Singh VP, (2016). Irrigation water allocation using an inexact two-stage quadratic programming with fuzzy input under climate change. Journal of the American Water Resources Association, 52 (3):667–684.
[41].Ren C, Li M, Guo P, (2016). A Multi-objective stochastic fractional goal programming model for water resources optimal allocation among industries. Journal of Water Resources Planning and Management. 142(10): 04016036.DOI：10.1061/ (ASCE) WR.1943-5452.0000681.
[42].Li M, Guo P, Singh V P, et al., (2016). An uncertainty-based framework for agricultural water-land resources allocation and risk evaluation. Agricultural Water Management, 177: 10-23.
[43].Yang G, Liu L, Guo P, et al., (2016). A flexible decision support system for irrigation scheduling in an irrigation district in China. Agricultural Water Management. doi:10.1016/j.agwat.2016.07.019.
[44].Gu J, Guo P, Huang G H, (2016). Achieving the objective of ecological planning for arid inland river basin under uncertainty based on ecological risk assessment. Stochastic Environmental Research & Risk Assessment, 30 (5):1485-1501.
[45].Ren C, Guo P, Yang G, et al., (2016). Spatial and temporal analyses of water resources use efficiency based on data envelope analysis and Malmquist index: case study in Gansu Province, China. Journal of Water Resources Planning and Management. 04016066 DOI: 10.1061/(ASCE)WR.1943-5452.0000719
[46].Gui Z, Li M, Guo P, (2016). A simulation-based inexact fuzzy semi-infinite programming method for agricultural cultivated area planning in the Shiyang River basin. Journal of Irrigation & Drainage Engineering. DOI: 10.1061/ (ASCE) IR.1943-4774.0001118.
[47].Ren C, Li R, Guo P, (2016). Two-stage DEA analysis of water resource use efficiency. Sustainability, 9(1):52.
[48].Zhang C, Guo P, (2017). An inexact CVaR two-stage mixed-integer linear programming approach for agricultural water management under uncertainty considering ecological water requirement. Ecological Indicators.
[49].Li, Y.P., Huang, G.H. and Guo, P.et al., (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.
[50].Zhu, H., Huang, G. H., Guo, P.et al., (2009). A fuzzy robust nonlinear programming model for stream water quality management. Water Resources Management, 23:2913–2940.
[51].Li, Y.P., Huang, G.H. and Guo, P., et al., (2010). Interval-fuzzy possibilistic mixed integer linear programming for environmental management under uncertainty. The International Journal of Environment and Pollution 42(1)：107-124.
[52].Zeng, X, Kang, S, Li, F, Zhang, L and Guo, P., (2011). Fuzzy multi-objective linear programming applying to crop area planning. Agricultural Water Management, 98(1):134-142
[53].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
[54].Fan, Y., Huang, G.H. Guo, P., et al., (2012) Inexact two-stage stochastic partial programming: application to water resources management under uncertainty. Stochastic Environmental Research and Risk Assessment, 26:281–293
[55].Huo, Z, Feng, S, and Guo, P, (2011). Integrated neural networks to estimate the monthly river flow of an arid inland basin in Northwest China. Hydrological Science Journal, 159:420-421
[56].Chen J, Kang S, Du T, et al., (2013). Quantitative response of greenhouse tomato yield and quality to water deficit at different growth stages. Agricultural Water Management, 129 (11): 152–162.
[57].Zhang D, Guo P, Liu X, et al., (2013). Greenhouse Irrigation Optimization Decision Support System. Ifip Advances in Information & Communication Technology, 420: 10-23. (EI收錄)
[58].Zhang L, Guo P, Li M, et al., (2014). Deficit irrigation optimization model for crop area allocation under uncertainties in Shiyang River Basin, China. Sensor Letters, volume 12: 867-875 (9).
[59].Yang X, Guo P, Li M. Fraction-Programming-Based Crop Area Planning under Engineering Water-saving. 2014 International Conference on Management and Engineering. (EI收錄)
[60].Gui Z, Zhang C, Li M, Guo P, (2015). Risk analysis methods of the water resources system under uncertainty. Frontiers of Agricultural Science and Engineering, 2 (3): 205–215.
[61].Li M, Guo P, Zhang L, et al., (2016). Uncertain and multi-objective programming models for crop planting structure optimization. Frontiers of Agricultural Science and Engineering, 3 (1): 34:45.
[62].Zhang C, Li M, Guo P, (2016). Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station, Heihe River Basin, China. Frontiers of Agricultural Science and Engineering.
[63].童芳芳，郭萍, (2013).考慮徑流來水不確定性的灌溉用水量預測. 農業工程學報，29 (7)：66-76.
[64].付銀環,郭 萍,方世奇,李 茉. 基于兩階段隨機規劃方法的灌區水資源優化配置.農業工程學報, 2014, 30 (5): 73-81.
[65].李茉，郭萍. 基于雙層分式規劃的種植結構多目標模型研究. 農業機械學報, 2014, 45 (9): 168~174.
[66].李茉，姜瑤，郭萍，等. 考慮不同層次利益主體的灌溉水資源優化配置. 農業機械學報
[67].楊改強, 郭萍, 李睿環,等. 基于排隊理論的灌區渠系地表水及地下水優化配置模型. 農業工程學報, 2016, 32(6):115-120.
[68].李茉，郭萍，楊獻獻, (2013). 基于分式規劃的種植結構多目標不確定性模型研究. 節水灌溉，09:79-81, 89.
[69].李茉, 郭萍, 付銀環. 民勤縣主要作物優化灌溉制度制定及風險分析. 灌溉排水學報, 2013 (1): 91-95.
[70].劉瀟, 郭萍. 基于不確定性的旱作物種植結構優化. 干旱地區農業研究, 2013, 31 (6): 208-213.
[71].周婭, 郭萍, 古今今. 基于BP神經網絡的概率徑流預測模型. 水利發電學報, 2014, 33 (2): 31-38.
[72].程居富, 郭萍, 李茉. 雙區間規劃在單一作物水資源優化配置中的應用. 節水灌溉, 2014, 第12期: 48-53.
[73].趙建明, 郭萍, 劉勇云. 灌溉渠系配水及優化編組模型研究. 灌溉排水學報, 2014.
[74].桂澤瑛, 郭萍. 石羊河流域變化環境下的水庫調度決策研究——以紅崖山水庫為例. 節水灌溉, 2015, 第5期: 42-45.
[75].李睿環, 郭萍, 張冬梅. 基于不確定性的渠系水資源優化配置. 人民黃河, 2015 Vol. 37 (11): 139-141.
[76].楊獻獻, 郭萍., 李茉. 面向生態的黑河中游模糊多目標水資源優化配置模型. 節水灌溉, 2016, (5): 65-70.
[77].張帆, 郭萍, 任沖鋒. 分式兩階段隨機優化模型在作物種植結構優化中的應用. 中國農村水利水電, 2016, 第9期: 111-114
[78].張帆, 郭萍, 李茉. 基于雙區間兩階段隨機規劃的黑河中游主要農作物種植結構優化. 中國農業大學學報 2016,11:109-116.  
[79].李茉,郭萍,郭珊珊. 灌溉水資源安全閾值確定與高效配置. 中國農村水利水電,2016, 08: 83-87+92.
[80].張成龍,郭萍,趙建明. 不確定條件下的區間兩階段模糊可信性約束規劃配水模型研究. 中國農村水利水電, 2016, 08:97-101.
[81].郭珊珊，郭萍，李茉. 基于多目標遺傳算法的渠系配水優化模型研究. 中國農業大學學報
◆人才培養
    培養博士生2人，在讀博士7人；培養碩士生10人，在讀碩士生4人。指導本科生畢設及URP項目，獲得中國農業大學2012屆、2014屆本科生“百篇優秀畢業論文（設計）”優秀指導教師獎。先后為本科生主講 《Environmental Science》、《The Sustainable Water Resources Exploitation in China》英文課程，為碩士生和博士生主講《水資源和環境模型與優化》，合作講《現代水文水資源學》、《博士生農業水土工程專論》、《水資源與水利水電工程研究專題》等課程。
◆聯系方式
地址：北京市海淀區清華東路17號
郵編：100083
電話：010-62738496
Email：guop@cau.edu.cn
◆備注
    本材料統計日期為2017年5月