Open AccessA two-stage robust optimization framework for land-water-environment nexus management
Author(s) -
Rui Chen,
Zhongwen Xu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/687/1/012042
Subject(s) - nexus (standard) , scarcity , water scarcity , stage (stratigraphy) , computer science , robust optimization , premise , agriculture , dynamic programming , transformation (genetics) , mathematical optimization , environmental resource management , operations research , environmental science , ecology , economics , engineering , mathematics , algorithm , geology , embedded system , paleontology , philosophy , linguistics , chemistry , biology , microeconomics , biochemistry , gene
On the premise of rational utilization of soil and water resources, systematic engineering method is widely considered to balance agriculture and ecology. Regular planning is carried out by the authority based on historical data and future expectation, however, uncertain environment cannot be ignored. Hence, we propose an adjusted dynamic two-stage robust optimization framework to explore comprehensive managerial insights of irrigative areas and forest expansion. Dynamic planning is adopted to reflect the long-period planning, and two-stage is to differ “wait-and-see” decision from “right-and-now” decision. Considering the whole system’ benefit, economic and ecological benefits are maximized and water scarcity, water/soil erosion penalties are minimized. To solve the proposed two-stage robust model, we propose two structural properties to obtain the global solution. After transformation, a C&CG algorithm is designed to calculate the proposed model.