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ID:32058097
大小:2.17 MB
页数:65页
时间:2019-01-31
《基于二参数分布的流域降雨时空分析与干旱评估》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、华中科技大学硕士学位论文AbstractWateristhesourceoflifeandthefoundationofcivilization,soit’sanimportantbirthplaceofhumancivilizationintheriverareaoftheworld.Rainfallintimeandspacecomplexityofthevariabilityhasanimportantinfluenceonrunoffbasin,rainfallpatternsintimeandspaceisveryimportantforunderstandingtempora
2、landspatialvariationofsoilmoisture,groundwaterrechargeandriverflow.Therefore,acorrectunderstandingoftheregionalspatialandtemporaldistributionofrainfallisthebasisofouranalysisoftherelevantregionaldroughtconditionsandwaterresourcesmanagement,butalsoanimportantreferenceforhydrologicalforecasting,sch
3、edulingconstructionandwaterconservancy.Inthispaper,thehistoricalrainfalldataatrainfallobservationstationistheexperimentaldata.Analyzingthespatialandtemporaldistributionpatternsofrainfallsequenceandthecombinedwiththestandardizedprecipitationindex(SPI)toassessregionaldroughtconditions.Intermsoftime
4、,thispaperusingtwoparameterGammadistributionandLognormaldistributionfitthehexicorridorinGansuprovinceriverstreamofshuleriverandheiheriverbasinfrom1966to2001totalof36monthsrainfalldistribution,andtheintroductionofamixingcoefficientrepresentstheprobabilityofnorainfall.TheresultofKolmogorov-Smirnovt
5、estshowedthatGammadistributionandLognormaldistributioncanbeagoodcharacterizationoftheHeiheRiverandShuleRivermonthlyrainfall.Byfittingtheresultsofthetwodistributionswerecompared,illustratedtheuseofgammadistributionandlognormaldistributiontorepresentrainfalldistributionofShuleandtheHeiheRiverBasini
6、sapplicable.Intermsofspace,usingthespatialinterpolationtoreflectthechangeofrainfallinspace,andcomparedtheaccuracyofinversedistanceweightingmethodandKriginginterpolationintheregionrainfallsequence.TheresultsshowedthatKriginginterpolationmethodhashigheraccuracy.II万方数据华中科技大学硕士学位论文BecauseofShuleRiver
7、andHeiheRiverBasininGansuProvincewithinthelargerateofprecipitationchangeandtheunevendistributionofrainfallduringtheyear,theBasinoftenoccurfloods,droughtdisaster.Climatearidregionwillinevitablyleadtochangesinmoisturered
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