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ID:32195438
大小:6.53 MB
页数:61页
时间:2019-02-01
《三峡工程建设对洞庭湖区生态环境的影响》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、2004—2010wascollected,usingexcelsoftwarethroughtraditionals‘a‘isticalmethodstocalculatethechangetrendoftheChenglingjiflowcalendaryearwaterlevelfrom10,thechangeofthewaterlevelfluctuationsduringtheyearandvariationrulesofeachmonththewaterlevel,thecorrelationanalysiswasdoneandfoundt
2、hatregulationoftheThreeGorgeswaslittleeffectontheaverageannualwaterlevelanddischarge,itreducechangesofthewaterlevelfluctuationduringtheyearofDongtingLake,thatthemaximumwaterlevelwas10werinthefloodseason,andthewaterlevelhasincreasedcomparedwithbeforeoperationinthedryseason.Second
3、ly,basedonthesedimentandrunoffdataofDongtingLakefrom1990—2009,thetraditionalstatisticalmethodsandtimeseriesanalysismethodsisusedtoobtainedtheannualsedimentloadandannualrunoffofDongtingLakeovertheyearschangesinthelaw,andtheestimatedmodelisbuilttoobservedtheDongtingLakesedimentloa
4、dandrunoffchangesinshort—term.TheresultsobtainedthattheannualsedimentloadofDongtingLakeisdroprapidlyandtheannualn-lnoffofDongtingLakedecreaseobviouslysincethenormaloperationoftheThreeGorgesReservoirin2003.Bycomparisonofgoodnessoffitandpredictivevalueofrelativeerror,obtainedaresu
5、ltthatthebestpredictionmodelofsedimentloadandannualrunoffofDongtingLakeisARIMA(O,1,2)andARIMA(1,1,1).UsingMeasuredvaluesin2009asthevalidationVdata.therelativeerrorofthemeasuredandpredictedvalueswere11.11%and16.09%,andthemeasuredvaluesallinthepredictivevalueof95%confidenceinterva
6、l.Throughproving,ARIMAmodeltopredictgoodresultsanditcanbeappliedasaneffectivetoolforshort—termpredictionoftheannualsedimentloaddataandrunoffdata.ThroughForecasting,theannualsedimentloaddataofDongtingLakefrom2010to2012is198.55,1132.64and1068.96;TherunoffdataofDongtingLakefrom2010
7、to2012is2027.36,1996.68and1962.86.Thirdly,usingRS\GIStoolstogettheclassificationofremote。ofdifferentoeriods,andextractthewetlandlandscapesenslnl乏imagesotdltterentperloclsanaextractmeweuanalanoscape,typesandvegetationinformation,usingthelandscapeindicesanddynamicmodelstogetquanti
8、tativeanalysisofthelandscapepatterncharacterist
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