Using Stochastic Programming and Remote Sensing to Implement Ecological Restoration of Degraded Mud Flat Ecosystem

摘要

This paper presents an interval-parameter stochastic programming (ISP) approach for supporting ecological restoration of degraded mud flat ecosystem under mud flat ecological restoration cost uncertainties. ISP is capable of performing mud flat ecological system analysis, ecological restoration cost uncertainty analysis, and solution block screening in a comprehensive and systematic way. A mud flat ecological restoration problem is used to demonstrate the applicability of the proposed ISP approach. The results indicate that solution block can be generated for the objective function and decision variables, and a variety of decision alternatives of solution block can be obtained under different cost uncertainty scenarios.