核心素養(yǎng)測(cè)評(píng)(40分鐘42.5分)五必修第一冊(cè)Unit4NaturalDisastersⅠ.閱讀理解(共12小題;每小題2.5分,滿分30分)A(2024·內(nèi)蒙古模擬)Earthquakeforecastingisoneofthemostancientskillsknowntomankind.FromancientGreecetothepresentday,countlessscientistshavetriedtodeveloptoolstopredictearthquakes.Theirattemptsusuallyfocusedonsearchingforreliableforerunnersofforthcomingquakes.However,therearemanyreasonswhypredictingquakesissohard.“Wedon’tunderstandsomebasicphysicsofearthquakes,”saidEgill,aresearchprofessorattheCaliforniaInstituteofTechnology.Scientistshavealsoattemptedtocreatemathematicalmodelsofmovement,butpreciselypredictingearthquakeswouldrequiregreatmappingandanalysisoftheEarth’scrust.Otherchallengesincludealackofdataontheearlywarningsigns,giventhatthesewarningsignsarenotyetentirelyunderstood.Actually,realearthquakepredictionisverysimilartothediagnosisofpotentialhumanillnessesbasedonobservingandanalyzingeachpatient’ssignsandsymptoms.Asitturnsout,quakepredictionisextremelydifficult.ManysourcesshowthatearthquakeforecastingwasarecognizedscienceinancientGreece.AncientGreekslivedveryclosetonatureandwereabletodetectunusualphenomenaandforecastearthquakes.ThefirstknownforecastwasmadebyPherecydesofSyrosabout2,500yearsago:Hemadeitashescoopedwaterfromawellandnoticedthatusuallyverycleanwaterhadsuddenlybecomemuddy.Indeed,anearthquakeoccurredtwodayslater,makingPherecydesfamous.Nowadays,seismic(地震的)andremote-sensingmethodsareconsideredtohavethegreatestpotentialintermsofsolvingtheearthquakepredictionproblem.Currently,TerraSeismic,anearthquakeforecastingcompany,canidentifyaforthcomingearthquakewithahighlevelofconfidence.Generally,TerraSeismicdoesnotpromisetopredictaquakeiftheearthquake’sepicentreislocatedbeyondadepthof40km.Fortunately,suchquakesarealmostalwaysharmless,sincethequake’senergyreducesbeforereachingtheEarth’ssurface.“Scientistshavetriedeverypossiblemethodtotrytopredictearthquakes,”Bruneau,anexpertinearthquakeengineering,said.“Nobodyhasbeenabletocrackitandmakeabelievableprediction.”【語(yǔ)篇屬性】語(yǔ)篇類型說(shuō)明文主題語(yǔ)境人與自然語(yǔ)篇內(nèi)容文章介紹了地震預(yù)報(bào)是人類古老的技能,科學(xué)家們從古至今不斷嘗試開(kāi)發(fā)預(yù)測(cè)地震的工具,但地震預(yù)測(cè)面臨諸多挑戰(zhàn)?？傮w上,地震預(yù)測(cè)仍是一個(gè)難題語(yǔ)篇結(jié)構(gòu)Para.1Thehistoricalpursuitofearthquakeforecasting.Para.2Thechallengesinearthquakeprediction.Para.3Ancientandmodernmethodsofearthquakeforecasting.Para.4Thecurrentstateofearthquakepredictionanditslimitations.【命題意圖】1.Whyisearthquakeforecastingsodifficult?第二段是關(guān)于地震預(yù)報(bào)的挑戰(zhàn)。這道題目旨在考查讀者對(duì)地震預(yù)測(cè)困難原因的理解2.WhydoestheauthorgivetheexampleofPherecydes?第三段是地震預(yù)報(bào)的古今方法。這道題目考查讀者對(duì)作者提供Pherecydes例子的目的的理解。作者通過(guò)這個(gè)例子來(lái)展示地震預(yù)測(cè)是一門有著悠久歷史的科學(xué)3.WhatdoesBruneaumeaninParagraph4?第四段是關(guān)于地震預(yù)報(bào)的現(xiàn)狀和局限。這道題目旨在考查讀者對(duì)Bruneau在第四段中所表達(dá)意思的理解4.Whatisthemainideaofthepassage?這道題目考查讀者對(duì)整篇文章主旨的理解。文章主要討論了地震預(yù)測(cè)的困難、歷史、方法和現(xiàn)狀,因此正確答案應(yīng)該涵蓋這些方面,指出文章的主旨是對(duì)地震預(yù)測(cè)的整體討論1.Whyisearthquakeforecastingsodifficult?A.Somebasicphysicsofearthquakesisunknown.B.Dataontheearlywarningsignsarenotfullyunderstood.C.MappingandanalysisoftheEarth’scrustareimpossible.D.Itisthesameasthediagnosisofhumanillnesses.【解析】選A。細(xì)節(jié)理解題。根據(jù)第二段中“However,therearemanyreasonswhypredictingquakesissohard.‘Wedon’tunderstandsomebasicphysicsofearthquakes,’saidEgill(然而,預(yù)測(cè)地震如此困難的原因有很多?！覀儾涣私獾卣鸬囊恍┗疚锢碓?’Egill說(shuō))”可知,地震預(yù)報(bào)如此困難是因?yàn)榈卣鸬囊恍┗疚锢碓硎俏粗?。故選A項(xiàng)。2.WhydoestheauthorgivetheexampleofPherecydes?A.ToexplainwhyPherecydeswasfamous.B.ToexplainancientGreekslivedveryclosetonature.C.Toshowearthquakeforecastingisasciencewithalonghistory.D.Toshowremote-sensingmethodsarethebestsolutiontoearthquakeprediction.【解析】選C。推理判斷題。根據(jù)第三段中“AncientGreekslivedveryclosetonature...makingPherecydesfamous.(古希臘人生活得非常接近自然,能夠檢測(cè)不尋常的現(xiàn)象和預(yù)測(cè)地震。已知的第一個(gè)預(yù)測(cè)是2500年前錫羅斯的畢達(dá)哥拉斯做出的:他從一口井里舀水時(shí)注意到,通常非常干凈的水突然變得渾濁了。事實(shí)上,兩天后發(fā)生了地震,畢達(dá)哥拉斯因此而出名。)”可推知,作者給出畢達(dá)哥拉斯成功預(yù)測(cè)地震的例子是為了說(shuō)明古希臘時(shí)期就存在地震預(yù)測(cè)了,表明地震預(yù)測(cè)是一門歷史悠久的科學(xué)。故選C項(xiàng)。3.WhatdoesBruneaumeaninParagraph4?A.TerraSeismiccanpredictanearthquake.B.Scientistshavemethodsofpredictingearthquakes.C.Somequakesareharmlessifthequake’senergyisreleased.D.Scientistshavenoreliablewaytopredictanearthquake.【解析】選D。推理判斷題。根據(jù)最后一段中Bruneau所說(shuō)的話“Scientistshavetriedeverypossiblemethodtotrytopredictearthquakes(科學(xué)家們已經(jīng)嘗試了所有可能的方法來(lái)預(yù)測(cè)地震)”和“Nobodyhasbeenabletocrackitandmakeabelievableprediction.(沒(méi)有人能夠破解它并做出可靠的預(yù)測(cè)。)”可推知,Bruneau認(rèn)為科學(xué)家沒(méi)有可靠的方法來(lái)預(yù)測(cè)地震。故選D項(xiàng)。4.Whatisthemainideaofthepassage?A.Thereasonsforearthquakeforecasting.B.Thehistoryofearthquakeforecasting.C.Themethodsofearthquakeforecasting.D.Thefutureofearthquakeforecasting.【解析】選C。主旨大意題。通讀全文,尤其是第一段中“Earthquakeforecastingisoneofthemostancientskillsknowntomankind.FromancientGreecetothepresentday,countlessscientistshavetriedtodeveloptoolstopredictearthquakes.(地震預(yù)測(cè)是人類已知的最古老的技能之一。從古希臘到現(xiàn)在,無(wú)數(shù)的科學(xué)家試圖開(kāi)發(fā)預(yù)測(cè)地震的工具。)”可知,文章討論了古代和現(xiàn)代的地震預(yù)報(bào)方法,包括科學(xué)家們通過(guò)尋找可靠的先兆、建立數(shù)學(xué)模型以及使用遙感方法等各種手段來(lái)預(yù)測(cè)地震的嘗試。文章還涉及地震預(yù)測(cè)的局限性和挑戰(zhàn),例如缺乏對(duì)基本物理原理和早期預(yù)警信號(hào)的了解,以及無(wú)法預(yù)測(cè)超過(guò)一定深度的地震。因此,文章關(guān)注的是地震預(yù)測(cè)過(guò)程中涉及的方法和挑戰(zhàn)。故選C項(xiàng)。B(2025·江門模擬)Scientificdiscoveryisoneofthemostcomplicatedhumanactivitiesforscientistsmustunderstandtheexistingknowledge,raisearesearchquestionanddesignandconductanexperimentinpursuitofananswer.Canthiscomplexprocessbeautomated?Lastweek,SakanaAILabsannouncedthecreationofan“AIscientist”—anartificialintelligencesystemtheyclaimcanmakescientificdiscoveriesinafullyautomatedway.Usinggenerativelargelanguagemodels(LLMs)likethosebehindChatGPTandotherAIchatbots,thesystemcanbrainstorm,selectapromisingidea,codenewalgorithms(算法),plotresults,andwriteapapersummarizingtheexperimentanditsfindings.Nowadays,alotofscienceisdoneintheopen,andalmostallscientificknowledgehasbeenwrittendownsomewhere.Millionsofscientificpapersarefreelyavailableonline.LLMstrainedwiththisdatacaneasilycapturethelanguageofscienceanditspatterns.ItisthereforeperhapsnotatallsurprisingthatagenerativeLLMcanproducesomethingthatlookslikeagoodscientificpaper—ithasabsorbedmanyexamplesthatitcancopy.WhatislesscleariswhetheranAIsystemcanproduceaninterestingscientificpaper.Crucially,goodsciencerequiresnovelty.Scientistsdon’twanttobetoldaboutthingsthatarealreadyknown.Rather,theywanttolearnnewthings,especiallynewthingsthataresignificantlydifferentfromwhatisalreadyknown.TheSakanasystemtriestoaddressnoveltyintwoways.First,it“scores”newpaperideasforsimilaritytoexistingresearch.Anythingtoosimilariscastaway.Second,Sakana’ssystemintroducesa“peerreview”step—usinganotherLLMtojudgethequalityandnoveltyofthegeneratedpaper.FeedbackismixedonSakanaAI’soutput.Somehavedescribeditasproducing“endlessscientificslop”.Eventhesystem’sownreviewofitsoutputsjudgesthepapersweakatbest.Thisislikelytoimproveasthetechnologyevolves,butthequestionofwhetherautomatedscientificpapersarevaluableremains.Isthisthekindofscientificecosystemwewant?【語(yǔ)篇屬性】語(yǔ)篇類型說(shuō)明文主題語(yǔ)境人與社會(huì)語(yǔ)篇內(nèi)容Sakana人工智能實(shí)驗(yàn)室宣布了一名“人工智能科學(xué)家”的誕生,該人工智能系統(tǒng)聲稱可以完全自動(dòng)化地進(jìn)行科學(xué)發(fā)現(xiàn),文章介紹了其語(yǔ)言模型的工作形式,并對(duì)其科學(xué)生態(tài)系統(tǒng)提出疑問(wèn)語(yǔ)篇結(jié)構(gòu)Para.1Thecomplexityofscientificdiscoveryandthepossibilityofautomation.Para.2IntroductionoftheAIscientistbySakanaAILabs.Para.3TheavailabilityofscientificknowledgeandthetrainingofLLMs.Para.4Thechallengeofnoveltyinscientificdiscovery.Para.5Sakanasystem’sapproachtoensuringnovelty.Para.6MixedfeedbackontheSakanaAI’soutputandthevalueofautomatedscientificpapers.【命題意圖】5.WhatistheprimaryfunctionofAIscientistinscientificresearches?第二段是關(guān)于AI科學(xué)家的介紹。這道題目旨在考查讀者對(duì)AI科學(xué)家在科學(xué)研究中的主要功能的理解6.HowdoLLMswork?第三段是關(guān)于科學(xué)知識(shí)的可用性和大型語(yǔ)言模型培訓(xùn)。這道題目考查讀者對(duì)大型語(yǔ)言模型(LLMs)工作方式的理解7.HowdoestheSakanasystemattempttoensurenovelty?倒數(shù)第二段是關(guān)于Sakana系統(tǒng)試圖通過(guò)兩種方式解決創(chuàng)新問(wèn)題。這道題目旨在考查讀者對(duì)Sakana系統(tǒng)如何嘗試確保新穎性的理解8.Whatmaybetheauthor’sattitudetowardsAIscientificecosystem?最后一段是作者對(duì)于自動(dòng)化的科學(xué)論文價(jià)值問(wèn)題的態(tài)度。這道題目考查讀者對(duì)作者對(duì)AI科學(xué)生態(tài)系統(tǒng)態(tài)度的理解5.WhatistheprimaryfunctionofAIscientistinscientificresearches?A.Tohelpanalyzescientificdata.B.Toassistscientistsinresearches.C.Toautomatetheentirediscovery.D.Toreviewhuman-authoredpapers.【解析】選C。細(xì)節(jié)理解題。根據(jù)文章第二段“Lastweek,SakanaAILabsannouncedthecreationofan‘AIscientist’—anartificialintelligencesystemtheyclaimcanmakescientificdiscoveriesinafullyautomatedway.(上周,Sakana人工智能實(shí)驗(yàn)室宣布了一名‘人工智能科學(xué)家’的誕生,該人工智能系統(tǒng)聲稱可以完全自動(dòng)化地進(jìn)行科學(xué)發(fā)現(xiàn))”可知,人工智能科學(xué)家在科學(xué)研究中的主要功能是完全自動(dòng)化地進(jìn)行科學(xué)發(fā)現(xiàn)。故選C。6.HowdoLLMswork?A.Theygraspthescientifictermsandframeworks.B.Theyconductscientificresearchesindependently.C.Theyincludemostadvancedscientificknowledge.D.Theycreatepapersthroughdirectinputfromexperts.【解析】選A。細(xì)節(jié)理解題。根據(jù)文章第三段“LLMstrainedwiththisdata...itcancopy.(使用這些數(shù)據(jù)訓(xùn)練的LLMs可以很容易地捕捉科學(xué)的語(yǔ)言及其模式。因此,生成型LLM能夠?qū)懗隹雌饋?lái)像一篇優(yōu)秀科學(xué)論文的東西,這一點(diǎn)也不奇怪——它已經(jīng)吸收了許多可以復(fù)制的例子)”可知,LLMs能通過(guò)掌握科學(xué)術(shù)語(yǔ)和框架模式來(lái)工作。故選A。7.HowdoestheSakanasystemattempttoensurenovelty?A.Byaddinghumanexperts’review.B.Byrulingoutsimilarpaperideas.C.Byusingunpublishedresearchdata.D.Byborrowingideasfromnewpapers.【解析】選B。細(xì)節(jié)理解題。根據(jù)文章倒數(shù)第二段“TheSakanasystem...noveltyofthegeneratedpaper.(Sakana系統(tǒng)試圖通過(guò)兩種方式解決創(chuàng)新問(wèn)題。首先,它對(duì)新論文的想法與現(xiàn)有研究的相似性進(jìn)行‘評(píng)分’。太相似的東西都被拋棄了。其次,Sakana的系統(tǒng)引入了一個(gè)‘同行評(píng)議’步驟——使用另一個(gè)LLM來(lái)判斷生成論文的質(zhì)量和新穎性)”可知,Sakana系統(tǒng)試圖通過(guò)排除類似的論文觀點(diǎn)來(lái)確保新穎。故選B。8.Whatmaybetheauthor’sattitudetowardsAIscientificecosystem?A.Unclear. B.Supportive.C.Skeptical. D.Indifferent.【解析】選C。推理判斷題。根據(jù)文章最后一段“Feedbackismixed...ecosystemwewant?(SakanaAI的輸出反饋是混合的。一些人將其描述為產(chǎn)生‘無(wú)盡的科學(xué)垃圾’。即使是系統(tǒng)自己對(duì)其產(chǎn)出的審查,也會(huì)判斷這些論文充其量是薄弱的。隨著技術(shù)的發(fā)展,這種情況可能會(huì)有所改善,但自動(dòng)化的科學(xué)論文是否有價(jià)值的問(wèn)題仍然存在。這就是我們想要的科學(xué)生態(tài)系統(tǒng)嗎)”可知,作者認(rèn)為自動(dòng)化的科學(xué)論文價(jià)值問(wèn)題有待判斷,因此,作者對(duì)于人工智能科學(xué)生態(tài)系統(tǒng)持有懷疑態(tài)度。故選C。C(2025·武漢模擬)YoumightnotthinkthatanAIcapableofmakingmusicwouldstimulateyouremotion,butothersthinkdifferently,particularlythosewhogatheredatMexicoCity’sSymphonyHallin2019forSchubert’sUnfinishedSymphony,whichIfinishedusingmelodiesgeneratedbyanAI.Astheorchestra(管弦樂(lè)團(tuán))finishedSchubert’soriginalworkandbeganthemusictheAIandIhadwritten,Icouldfeelthecrowd’senergyshiftfromastonishmenttoindignationandfear.TheyseemedafraidthatanAImightbeabletomakeemotionalsymphonicmusic.Youcanseetheirpoint:anAIthatmakesemotionalmusiccouldaffecttheemotionallivesofthousandsorevenmillionsofpeopleinasmall,butprofoundway,justlikeahumanmusiciandoes.Positiveandnegative,peoplereactedverystronglytoAI’ssymphonicdebut(首秀).Eventhoughmostpeopledon’tbelievethatAIcancreatesomethingenjoyable,they,atleastpartly,didenjoytheUnfinishedSymphony.Enjoymentinmusicimpliesthatthere’ssomethinginthemusicthatthelistenerconnectsto,aperceptionofsharedemotion.But,inthecaseofAImusic,anemotionsharedwithwho?AI,asofyet,hasnoemotions.Sowhatisthemeaningofmusicmadewithoutanemotionalcomposer?Theunsatisfyingansweristhatmusichasnoobjectivemeaning.Acomposercandecidehowapieceofmusicsounds,butit’sthelistenerthatdecideswhatitmeans.Nomatterhowit’screated,musicdoesn’texistinavacuum(真空)tothelistener.Themeaningweassigntomusicdependsonitscontext—howthepiececonnectstootherelementsinourlives.Withoutcontext,musicisliketheresultsofagamewhoseruleshavebeenlost.Thecontextforamusicispartofwhoyouare.Themusicisemotionaltoyoubecauseyouhavethecontexttoappreciateit.Asitcontinuestoevolve,AImusicwilldevelopitsowncontext.Certainly,it’llbedifferentfromhuman-mademusic.It’llmixexistinggenrestocreatenewones;it’llcombineinstrumentsthatwewouldn’tthinkofcombining.Itsruleswillbedifferent.I’mnowalwaysaskedthesamequestion:“Whoputtheemotioninthatmusic:you,thecomposer,ortheAI?”Butthat’snotthequestiontheyreallywanttoask,though.There’sadeeperquestionthatmostpeoplearetooafraidtoaskrightnow:“Aremyemotionssosimplethattheycanbemaneuveredbyamachine?”Inmyexperience,thiscouldbepossibleoneday.IfamodestlycapablemusicAIin2019couldstirupemotionsofanaudience,maybeAIcanhaveamorepowerfuleffectonouremotionallivesthanwe’dliketoadmit.【語(yǔ)篇屬性】語(yǔ)篇類型議論文主題語(yǔ)境人與社會(huì)語(yǔ)篇內(nèi)容文章主要討論了人工智能是否能創(chuàng)作出富含情感的音樂(lè)的問(wèn)題,論述了作者對(duì)于音樂(lè)中情感的看法語(yǔ)篇結(jié)構(gòu)Para.1TheemotionalpotentialofAI-generatedmusic.Para.2Theaudience’smixedreactionstoAI-generatedmusic.Para.3ThecontradictoryhumanresponsetoAIinmusic.Para.4Thesubjectivityofmusicandemotion.Para.5Theroleofcontextinmusic’semotionalimpact.Para.6ThetrueconcernsaboutAIandemotionalmanipulation.Para.7ThefutureinfluenceofAIonhumanemotions.【命題意圖】9.Theaudiencereactedstronglytothesymphonymainlydueto______.

第二段是關(guān)于觀眾對(duì)人工智能交響曲的反應(yīng)。這道題目考查讀者對(duì)觀眾對(duì)交響樂(lè)反應(yīng)的理解10.Whatmighttheauthoragreewith?第四段是關(guān)于音樂(lè)和情感的主觀性。這道題目考查讀者對(duì)作者觀點(diǎn)的理解11.Whatdoestheword“maneuvered”underlinedinParagraph6mostprobablymean?第六段是關(guān)于人們對(duì)人工智能和情緒操縱的真正的擔(dān)心。這道題目考查讀者對(duì)文中畫(huà)線單詞的理解12.Whichwouldbethebesttitleforthepassage?全文尤其是第三段論述了作者對(duì)于音樂(lè)中情感的看法。這道題目考查讀者對(duì)整篇文章主旨的理解9.Theaudiencereactedstronglytothesymphonymainlydueto______.

A.theirdoubtsaboutAI’scapabilitiesB.theiruneasinessaboutAI’sinfluenceC.theorchestra’sbrilliantpresentationofAImusicD.thelikenessbetweenAImusicandtheoriginalwork【解析】選B。推理判斷題。根據(jù)第二段(當(dāng)管弦樂(lè)隊(duì)演奏完舒伯特的原創(chuàng)作品,開(kāi)始演奏人工智能和我共同創(chuàng)作的音樂(lè)時(shí),我能感覺(jué)到觀眾的情緒從驚訝轉(zhuǎn)變?yōu)閼嵟涂謶?。他們似乎?dān)心人工智能可能會(huì)創(chuàng)作出充滿情感的交響樂(lè)。你可以看到他們的觀點(diǎn):一個(gè)制作情感音樂(lè)的人工智能可以以一種微小但深刻的方式影響數(shù)千甚至數(shù)百萬(wàn)人的情感生活,就像一個(gè)人類音樂(lè)家一樣。)可知,觀眾對(duì)交響曲反應(yīng)強(qiáng)烈主要是因?yàn)閷?duì)人工智能的影響感到不安。故選B。10.Whatmighttheauthoragreewith?A.AIposeslittleimpactonpeople’semotions.B.Musicbearsnointendedemotionalmeaning.C.AImusicwilloutperformhuman-mademusic.D.Thecontextreflectspeople’sinterpretationofmusic.【解析】選B。推理判斷題。根據(jù)第四段“AI,asofyet,hasnoemotions...whatitmeans.(到目前為止,人工智能還沒(méi)有情感。那么,沒(méi)有情感作曲家的音樂(lè)有什么意義呢?令人不滿意的答案是,音樂(lè)沒(méi)有客觀意義。作曲家可以決定一段音樂(lè)的聲音,但聽(tīng)眾可以決定它的意義。)”可知,作者可能會(huì)同意音樂(lè)沒(méi)有預(yù)期的情感含義。故選B。11.Whatdoestheword“maneuvered”underlinedinParagraph6mostprobablymean?A.Refreshed.B.Challenged.C.Revealed. D.Directed.【解析】選D。詞義猜測(cè)題。根據(jù)第二段“Youcanseetheirpoint:anAIthatmakesemotionalmusiccouldaffecttheemotionallivesofthousandsorevenmillionsofpeopleinasmall,butprofoundway,justlikeahumanmusiciandoes.(你可以看到他們的觀點(diǎn):一個(gè)制作情感音樂(lè)的人工智能可以以一種微小但深刻的方式影響數(shù)千甚至數(shù)百萬(wàn)人的情感生活,就像一個(gè)人類音樂(lè)家一樣。)”以及畫(huà)線詞上文“Aremyemotionssosimplethattheycanbe”和后文“byamachine”可知,人工智能制作的音樂(lè)可以影響數(shù)千甚至數(shù)百萬(wàn)人的情感生活,所以大多數(shù)人不敢問(wèn)的問(wèn)題是:我的情緒是否簡(jiǎn)單到可以被機(jī)器操縱?故畫(huà)線詞意思是“操縱”,與D選項(xiàng)Directed“指示,指導(dǎo)”意思最接近。故選D。12.Whichwouldbethebesttitleforthepassage?A.AreComposersToBeReplaced?B.WouldAIMusicBeaRisingTrend?C.CouldAIMakeMusicThatMovesYou?D.WastheUnfinishedSymphonySuccessful?【解析】選C。主旨大意題。根據(jù)第三段“Positiveandnegative,peoplereacted...theUnfinishedSymphony.(不管是正面還是負(fù)面,人們對(duì)AI的交響樂(lè)首演反應(yīng)非常強(qiáng)烈。盡管大多數(shù)人不相信人工智能可以創(chuàng)造出令人愉快的東西,但他們(至少在一定程度上)確實(shí)喜歡《未完成的交響曲》)”并結(jié)合文章主要討論了人工智能是否能創(chuàng)作出富含情感的音樂(lè)的問(wèn)題,論述了作者對(duì)于音樂(lè)中情感的看法?？芍?C選項(xiàng)“人工智能能做出打動(dòng)你的音樂(lè)嗎?”最符合文章標(biāo)題。故選C。Ⅱ.七選五(共5小題;每小題2.5分,滿分12.5分)(2024·湖南模擬)Floodscancomefrommultiplesources.Itcanbeahurricane,faileddam,oroverflowingriver.Thedisasterscanmovequickly.13It’simportanttoknowhowtokeepyourfamilyandbelongingssafeduringsuchanevent.Fullpreparationcanputyouateaseforitscoming.

Afloodissimplyaneventwherewateroverflowsanaturalareaandcoversnormallydryplaces.Ingeneral,therearetwotypes.14Thesoilintheseareascan’tabsorbalotofmoisture.Thewaterthenrapidlyrunsoffthesurfaceresultinginatorrent(激流)ofrapidlymovingwater.Riverfloodingiswhenariveroverflowsitsbanksduetoexcessive(過(guò)分的)waterandthesituationcangetworseifbarrierssuchasadamorlevee(防洪堤)breakaswell.

Afloodcanbecausedbymanythings.15Livingnexttoariver,dam,onthecoast,orinalow-lyingareaputsyouatriskforflooding.

Thereisnospecificfloodseason.16Anytimethereisalargeamountofraininashortperiod,floodingcanoccur.Man-madeandnaturaldisasterscanalsocausefloodingoutsideofthosemonths.Forexample,thecollapseofadamcancauseaflood.Anaturaldisaster,suchasatsunami,canalsocausefloodingonamassivescale.

17Usingexistingmapsandexamininglow-lyingareascandeterminehighriskareasforflooding.Moreover,floodwarningsaresentouttoareasthatcouldexperiencefloodingwhenthereisalargeamountofrainfalloverashorttime.

A.Therisingriverthreatenspeople’slives.B.Floodscanbepreventableandpredictable.C.Flashfloodsare