scholarly journals Optimal Cropping Pattern for Water Resources Management in Sistan Region of Iran using Goal Programming Method

Ecopersia ◽  
2016 ◽  
Vol 4 (4) ◽  
pp. 1555-1567 ◽  
Author(s):  
Mohammad Reza Dahmardeh Ghaleno ◽  
◽  
Vahedberdi Sheikh ◽  
Amir Sadoddin ◽  
Mahmood Sabouhi Sabouni ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Goal Programming ◽  
Programming Method ◽  
Cropping Pattern ◽  
Resources Management ◽  
Optimal Cropping Pattern ◽  
Optimal Cropping

scholarly journals Dependent-Chance Goal Programming for Water Resources Management under Uncertainty

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Haiying Guo ◽  
Honghua Shi ◽  
Xiaosheng Wang
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Goal Programming ◽  
Uncertain Variable ◽  
Uncertain Measure ◽  
Unknown Parameters ◽  
Uncertainty Distribution ◽  
Resources Management ◽  
Objective Event ◽  
Priority Structure

Without sufficient data, consulting experts is a good way to quantify unknown parameters in water resources management which will result in human uncertainty. The aim of this paper is to introduce a new tool-uncertainty theory to deal with such uncertainty which is treated as uncertain variable with uncertainty distribution. And a dependent-chance goal programming (DCGP) model is provided for water resources management under such circumstance. In the model uncertain measure is used to measure possibility that an event will occur which is maximized by minimizing the deviation (positive or negative deviation) from target of objective event under a given priority structure. In the end, the developed model is applied to a numerical example to illustrate the effectiveness of the model. The result obtained contributes to the desired water-allocation schemes for decision-markers.

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