基于机会约束规划的区域水资源管理-研究

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1、万方数据华北电力大学硕士学位论文AbstractWaterresourcesarethemainpowerandsupportofsocialeconom％However,along谢tlltherapiddevelopmentofagricultureandindustry,watershortagegoestobeseriOUS，wluchbecomesoneofthemostsignificantfactorsrestrictingeconomicdevelopment．Thus，effectiveplanningforagricult

2、uralandindustrialwaterresourcesisessentialforeasingcurrentwatercrisis．However,suchaplanningeffortisalwaysassociatedwithmultipleuncertainfactors，e．g．resources，economy,environment，whichchallengethecapabilitiesoftraditionaldeterministicprogrammingmethods．Therefore，theaimofthis

3、studyiStoproposeadvancedinexactoptimizationapproachesbasedonchance-constrainedprogrammingtohandletheuncertaintiesforsupportingrationaldecisionmaking．Theimprovedapproacheswillthenbeintroducedintoagriculturalandindustrialwaterresourcesmanagementsystems．Firstly,basedonindeptha

4、nalysisofprominentuncertaintyingroundwaterlevel，amodifiedfuzzycredibility-constrainedprogrammingforagriculturalwaterresourcesmanagement(MFCCP-AWM)isdevelopedandthenappliedtoanirrigationzoneinUllamooringbasininXinjiangprovince。Secondly,accordingtowatershortageandconflictsofd

5、emandamongdifferentfirms，artintervalchance—constrainedprogrammingmodelforindustrialwaterresourcesmanagement(ICCP—IWM)isproposedforsupportingwaterallocationunderuncertainty．，nleresultsdemonstratethattheMFCCP-AWMmodelCandealwithuncertaintiesamonggroundwaterlevelsexpressedasfu

6、zzysets，andprovidemoreoptimalschemesfordecisionmakers．Inaddition，theICCP—IWMmodelCangenerateoptimalallocationschemesforindustrialmanagers，andhandleuncertaintiesofthequantitiesamongfreshwater,recyclewaterandwastewater；furthermore，itcallalsotacklethetradeoffbetweensystemcosta

7、ndsystem—failurerisk．Insummary,theproposedMFCCP—AWMandICCP—IWMmodelsinthisstudyarevaluableforlocaldecisionmakerstoformulatecorrespondingdecisionaltematiVeS，andprovidenewideasforfutureresearch，beingoftheoreticalvalueandpracticalsignificance。Keywords：fuzzycredibility-constrai

8、nedprogramming；chance-constrainedprogramming；intervalprogramming；agriculturalwater