个人简历

教育背景
2008/09-2012/06 中国农业大学 水利水电工程专业 学士
2012/09-2017/06 中国农业大学 水利工程专业 博士
工作经历
2017/07-至今 长安大学 环工学院 水文与水资源系 讲师

研究领域

复杂环境下水资源优化配置
不确定性环境下的水资源承载力研究

近期论文

Ren, C.F., Li, R.H., Zhang, L.D., Guo, P*. Multiobjective stochastic fractional goal programming model for water resources optimal allocation among industries. Journal of Water Resources Planning and Management 2016 142(10) 04016036.
Ren, C.F., Guo, P*., Yang, G.Q., Li, R.H., Liu, L. Spatial and temporal analyses of water resources use efficiency based on data envelop analysis and malmquist index: Case study in Gansu Province, China. Journal of Water Resources Planning and Management 2016 142(12) 04016066.
Ren, C.F., Guo, P*., Li, M., Li, R.H. An innovative method for water resources carrying capacity research—metabolic theory of regional water resources. Journal of Environmental Management 2016 (167): 139-146.
Ren, C.F., Guo, P*., Li, M., Gu, J.J. Optimization of industrial structure considering the uncertainty of water resources. Water Resources Management 2013 27: 885-3898.
Ren, C.F., Li, R.H., Guo, P*. Two-stage DEA analysis of water resources use efficiency. Sustainability 2017 9(1) 52。
Ren, C.F., Zhang, L.D., Guo, P*. A multi-objective fuzzy programming model for optimal use of irrigation water and land resources under uncertainty in Gansu Province, China. Journal of Cleaner Production 2017,164: 85-94.
Ren, C.F., Zhang, H.B*. A fuzzy max-min decision bi-level fuzzy programming model for water resources allocation under uncertainty. Water 2018,10(4):488.
Ren, C.F., Li, Z.H., Zhang, H.B*. Integrated multi-objective stochastic fuzzy progrmming and AHP method for agricultural water and land optimization allocation under multiple uncertainties. Journal of Cleaner Production 2019 210:12-24. （高被引论文）
Ren, C.F., Yang, J.T., Zhang, H.B*. An inexact fractional programming model for irrigation water resources optimal allocation under multiple uncertainties. Plos One 2019 14(6): e0217783.
Ren, C.F., Zhang, H.B*. An inexact optimization model for crop area under multiple uncertainties. International Journal of Environmental Research and Public Health 2019 16(14): 2610