An inexact irrigation water allocation optimization model under future climate change

[1]  Zailin Huo,et al.  Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model , 2016 .

[2]  Mi Xiang ARTIFICIAL NEURAL NETWORK AND ITS APPLICATION IN AGRICULTURAL AND ECOLOGICAL RESEARCH , 2005 .

[3]  B. Santer,et al.  Selecting global climate models for regional climate change studies , 2009, Proceedings of the National Academy of Sciences.

[4]  N. Arnell,et al.  A global assessment of the impact of climate change on water scarcity , 2016, Climatic Change.

[5]  X. Jun Impacts of Climate Change on the Hydrological Cycle in the Luan River Basin , 2011 .

[6]  Zongxue Xu,et al.  Climate change scenarios generated by using GCM outputs and statistical downscaling in an arid region , 2015 .

[7]  Liudong Zhang,et al.  An inexact fuzzy parameter two-stage stochastic programming model for irrigation water allocation under uncertainty , 2013, Stochastic Environmental Research and Risk Assessment.

[8]  Ping Guo,et al.  Interval-fuzzy possibilistic mixed integer linear programming for environmental management under uncertainty , 2010 .

[9]  H. Laudon,et al.  Hydrological response to changing climate conditions: Spatial streamflow variability in the boreal region , 2015 .

[10]  Y. P. Li,et al.  Optimization of the irrigation water resources for agricultural sustainability in Tarim River Basin, China , 2012 .

[11]  Guohe Huang,et al.  A GREY LINEAR PROGRAMMING APPROACH FOR MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY , 1992 .

[12]  Huang Qiang Prediction of runoff based on BP neural network and Markov model , 2008 .

[13]  Jie Zhao,et al.  Irrigation Water Allocation Using an Inexact Two‐Stage Quadratic Programming with Fuzzy Input under Climate Change , 2016 .

[14]  Ping Guo,et al.  Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties , 2009 .

[15]  Rituraj,et al.  Statistical Downscaling of Climate Change Scenarios of Rainfall and Temperature over Indira Sagar Canal Command Area in Madhya Pradesh, India , 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

[16]  G. H. Huang,et al.  Development of an interval-valued fuzzy linear-programming method based on infinite alpha-cuts for water resources management , 2010, Environ. Model. Softw..

[17]  Liudong Zhang,et al.  An Improved Solving Approach for Interval-Parameter Programming and Application to an Optimal Allocation of Irrigation Water Problem , 2015, Water Resources Management.

[18]  Masson-Delmotte,et al.  The Physical Science Basis , 2007 .

[19]  Z. Hua The Simulation and Predication of Monthly Runoff in Yingluoxia Based on Artificial Neural Network , 2009 .

[20]  Fu Cong,et al.  Preliminary Comparison and Analysis between ERA-40,NCEP-2 Reanalysis and Observations over China , 2006 .

[21]  Ping Guo,et al.  An inexact CVaR two-stage mixed-integer linear programming approach for agricultural water management under uncertainty considering ecological water requirement , 2017, Ecological Indicators.

[22]  Vijay P. Singh,et al.  An efficient irrigation water allocation model under uncertainty , 2016 .

[23]  R. Ben A method for risk analysis and evaluation of water supply and demand , 2000 .

[24]  Diego J. Chagas,et al.  Assessment of Climate Change over South America under RCP 4.5 and 8.5 Downscaling Scenarios , 2014 .

[25]  A. Thomson,et al.  The representative concentration pathways: an overview , 2011 .

[26]  Vijay P. Singh,et al.  Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China , 2009 .

[27]  Zhang Xiao-liu Grain Yield and Water Production Efficiency of "Rain-water Storage and Controllable Irrigation(RSCI) Mode"of Rice , 2010 .

[28]  Ping Guo,et al.  Biobjective Optimization for Efficient Irrigation under Fuzzy Uncertainty , 2016 .

[29]  Ma Jin-zhu Quantities Research of Climate Change and Human Activities Affecting Water Resources , 2012 .

[30]  Guohe Huang,et al.  Analyzing climate change impacts on water resources under uncertainty using an integrated simulation-optimization approach , 2018 .

[31]  Ping Guo,et al.  Simulation and optimization for crop water allocation based on crop water production functions and climate factor under uncertainty , 2013 .