Waad ku mahadsan tahay booqashada Nature.com. Nooca browserka aad isticmaalayso wuxuu leeyahay taageero xaddidan oo CSS ah. Waayo-aragnimada ugu fiican, waxaan kugula talineynaa inaad isticmaasho browserka la cusboonaysiiyay (ama dami qaabka ku habboonaanta ee Internet Explorer) Inta lagu jiro, si loo xaqiijiyo taageerada joogtada ah, waxaan soo bandhigi doonaa goobta iyada oo aan lahayn qaabab iyo JavaScript.
Wasakhowga carradu waa dhibaato weyn oo ay keento hawlaha bani'aadamka. Qaybinta meelaha sunta ah ee suurtagalka ah ee sunta ah (PTEs) waxay ku kala duwan yihiin inta badan magaalooyinka iyo xaafadaha magaalada. Sidaa darteed, way adagtahay in la saadaaliyo waxa ku jira PTE-yada ee carradan oo kale. Wadar ahaan 115 muunado ayaa laga helay Frydek Mistek ee Czech Republic. Inductively-lammaanad plasma emission spectrometry. Doorsoomayaasha jawaab-celinta waa Ni iyo saadaaliyayaashu waa Ca, Mg, iyo K. Isku-xidhka isku-xidhka u dhexeeya doorsoomiyaha jawaab-celinta iyo doorsoomiyaha saadaasha waxay muujinaysaa isku-xirnaanta ku qanacsanaanta u dhexeeya walxaha. (166.946 mg / kg) ayaa ka sarreeya hababka kale ee loo isticmaalo. Moodooyinka isku dhafan ee Empirical Bayesian Kriging-Multiple Linear Regression (EBK-MLR) ayaa si liidata u sameeya, sida caddaynta isku-dhafka go'aaminta wax ka yar 0.1. The Empirical Bayesian Kriging-Support Vector Regression model-ka ugu fiican (95.479 mg/kg) iyo MAE (77.368 mg/kg) qiyamka iyo isugeynta sare ee go'aaminta (R2 = 0.637) Natiijooyinku waxay muujinayaan in isku-darka EBK iyo SVMR ay tahay farsamo wax ku ool ah oo lagu saadaaliyo uruurinta Ni ee magaalooyinka iyo carrada magaalada hareeraheeda.
Nickel (Ni) waxaa loo tixgeliyaa nafaqeeyayaalka yar yar ee dhirta sababtoo ah waxay gacan ka geysataa hagaajinta nitrogen atmospheric (N) iyo dheef-shiid kiimikaad urea, labaduba waxay u baahan yihiin biqilka abuurka. Marka lagu daro ka qayb qaadashada biqilka abuurka, Ni waxay u dhaqmi kartaa sida fungal iyo bakteeriyada inhibitor waxayna kor u qaaddaa horumarinta dhirta. Bacriminta nikkel-ku salaysan si kor loogu qaado nitrogen fixation2.Continued Codsiga ee Bacriminta ku salaysan nikkel-ku salaysan si loo kobciyo ciidda iyo in la kordhiyo awoodda digiraha si loo hagaajiyo nitrogen ee ciidda si joogto ah u kordhiyaa diiradda nikkel ee ciidda.In kasta oo nickel waa nafaqeeyayaalka yar ee dhirta, ay qaadashada xad-dhaaf ah ee ciidda samayn kartaa waxyeello ka badan ka wanaagsan. Sida nafaqo lagama maarmaanka u ah koritaanka dhirta1.Sida laga soo xigtay Liu3, Ni ayaa la ogaaday in ay tahay 17th element muhiim ah looga baahan yahay horumarinta dhirta iyo koritaanka.In waxaa dheer in doorka nickel ee horumarinta dhirta iyo koritaanka, bini'aadanku waxay u baahan yihiin noocyo kala duwan oo codsiyada.Electroplating, wax soo saarka ee Alloys ku salaysan nikkel, iyo wax soo saarka ee qalabka dab-damiska iyo warshadaha baabuurta nickel oo dhan u baahan yihiin in dhammaan qaybaha warshadaha ee dab-damiska. Alloys-ku salaysan nikkel iyo articles electroplated ayaa si ballaaran loo isticmaalo in kitchenware, accessories ballroom, sahayda warshadaha cuntada, koronto, silig iyo cable, marawaxadaha jet, implants qalliinka, dunta, iyo shipbuilding5.Ni-hodan heerarka carradu (ie, carradu dusha) ayaa loo aaneeyey in labada anthropogenic iyo ilaha dabiiciga ah, laakiin ugu horrayn, Nickogenic ilo dabiiciga ah4 halkii ay ka mid ah Nanthropic ilo. qarxinta, dhirta, dabka kaynta, iyo hababka juqraafiga; si kastaba ha ahaatee, ilaha anthropogenic waxaa ka mid ah baytariyada nikkel / cadmium ee warshadaha birta, electroplating, alxanka arc, naaftada iyo saliidaha shidaalka, iyo hawada hawada ka gubanaya gubasho dhuxusha iyo qashinka iyo gubasho sludge Nickel accumulation7,8.Sida laga soo xigtay Freedman iyo Hutchinson9 iyo Manyiwa et al. 10, ilaha ugu muhiimsan ee wasakhowga ciidda sare ee deegaanka dhow iyo kuwa u dhow ayaa ah inta badan nikkel-copper-ku salaysan smelters iyo miinooyinka. Ciidda sare ee agagaarka Sudbury nickel-copper sifaynta ee Canada waxay lahayd heerarka ugu sarreeya ee wasakheynta nikkel ee 26,000 mg/kg11. Taas bedelkeeda, wasakhowga ka soo baxa nickel-ka Norway ayaa keentay in wax soo saarka nickelku uu sare u kaco. ciidda11.Sida ay sheegtay Alms et al. 12, qadarka nikkel HNO3-soo saari kara ee gobolka ee dhul beereedka sare (wax soo saarka nikkel ee Russia) u dhaxaysay 6.25 si ay u 136.88 mg / kg, u dhiganta celceliska 30.43 mg / kg iyo diiradda aasaasiga ah ee 25 mg / kg. Sida laga soo xigtay kabata 11 fosfooraska ciidda ama bacriminta magaalada ee codsiga ee ciidda pegriiska. inta lagu jiro xilliyada dalagga ee isdaba jooga ah waxay gelin karaan ama faddarayn karaan ciidda. Saamaynta suurtagalka ah ee nikkel ee bini'aadamka waxay u horseedi kartaa kansarka iyada oo loo marayo mutagenesis, dhaawaca koromosoomyada, jiilka Z-DNA, dayactirka DNA-da ee xannibay, ama hababka epigenetic
Qiimaynta faddaraynta carrada ayaa soo korodhay waqtiyadii ugu dambeeyay sababtoo ah arrimo badan oo la xiriira caafimaadka oo ka dhashay xiriirka ciidda-dhirta, xiriirka ciidda iyo ciidda, xaalufka deegaanka, iyo qiimeynta saameynta deegaanka Khariidaynta ciidda saadaalinta (PSM) .Sida laga soo xigtay Minasny iyo McBratney16, khariidaynta ciidda saadaalinta (DSM) ayaa caddeeyey inay tahay maadada caanka ah ee sayniska ciidda. al. 17 ayaa qeexaya in DSM-ka casriga ah ama PSM ay tahay farsamada ugu waxtarka badan ee saadaalinta ama khariidaynta qaybinta saadaasha ee PTE-yada, noocyada ciidda iyo hantida ciidda.Geostatistics and Machine Learning Algorithms (MLA) waa farsamooyinka qaabaynta DSM ee abuuraya khariidado digitized iyadoo la kaashanayo kombiyuutarada isticmaalaya xogta muhiimka ah iyo kuwa ugu yar.
Deutsch18 iyo Olea19 waxay ku qeexaan geostatistics sida "ururinta farsamooyinka tirooyinka ee la tacaalaya matalaadda sifooyinka boosaska, inta badan shaqaalaynta moodooyinka stochastic, sida sida falanqaynta taxanaha wakhtigu u tilmaamto xogta ku meel gaarka ah." Asal ahaan, geostatistics waxay ku lug leedahay qiimeynta variograms, taas oo u oggolaanaysa in la qiyaaso oo qeexo ku tiirsanaanta qiyamka boosaska ee xog kasta20.Gumiaux et al. 20 waxay sii muujinaysaa in qiimaynta variograms ee geostatistics ay ku salaysan tahay saddex mabda'a, oo ay ku jiraan (a) xisaabinta miisaanka isku xirka xogta, (b) aqoonsiga iyo xisaabinta anisotropy ee farqiga xogta iyo (c) marka lagu daro tixgelinta qaladka asalka ah ee xogta cabbirka ee ka soocaya saamaynta maxalliga ah, farsamooyinka isdhexgalka ayaa sidoo kale lagu qiyaasaa farsamooyinkan la isticmaalo. geostatistics, oo ay ku jiraan kriging guud, wada-kriging, kriging caadiga ah, empirical Bayesian kriging, habka kriging fudud iyo farsamooyin kale oo si fiican loo yaqaan interpolation si loo khariideeyo ama loo saadaaliyo PTE, sifooyinka ciidda, iyo noocyada ciidda.
Algorithms Barashada Machine (MLA) waa farsamo ilaa xad cusub oo ka shaqeeya fasalada xogta aan toos ahayn, shiday by algorithms ugu horrayn loo isticmaalo macdanta xogta, aqoonsado hababka xogta, iyo si joogto ah codsatay in ay kala soocida ee beeraha sayniska sida sayniska ciidda iyo soo celinta hawlaha. Warqado cilmi tiro badan oo ku tiirsan moodooyinka MLA si ay u saadaaliyaan PTE ee carrada, sida Tan et al. 22 (kaymaha random ee qiyaasta birta culus ee carrada beeraha), Sakizadeh et al. 23 (qaabaynta iyadoo la adeegsanayo mashiinnada vector-ka taageerada iyo shabakadaha neerfaha ee macmalka ah) wasakhowga ciidda) .Intaa waxaa dheer, Vega et al. 24 (CART loogu talagalay qaabaynta haynta birta culus iyo adsorption ee ciidda) Sun et al. 25 (codsiga cubist waa qaybinta Cd ee ciidda) iyo algorithms kale sida k-dariska ugu dhow, dib u celinta guud ee kor loo qaaday, iyo kor u kaca Geedaha ayaa sidoo kale codsaday MLA si loo saadaaliyo PTE ee ciidda.
Codsiga algorithms DSM ee saadaasha ama khariidadda waxay la kulmaan caqabado dhowr ah. Qorayaal badan ayaa aaminsan in MLA uu ka sarreeyo geostatistics iyo liddi ku ah. Inkasta oo mid ka mid ah uu ka fiican yahay kan kale, isku dhafka labadaba waxay hagaajinayaan heerka saxda ah ee khariidadda ama saadaasha DSM15.Woodcock iyo Gopal26 Finke27; Pontius iyo Cheuk28 iyo Grunwald29 waxay ka faalloodaan cilladaha iyo khaladaadka qaar ee khariidaynta carrada ee la saadaaliyay. Saynisyahannada carradu waxay isku dayeen farsamooyin kala duwan si ay u wanaajiyaan waxtarka, saxnaanta, iyo saadaalinta khariidadda DSM iyo saadaalinta. Isku-darka hubin la'aanta iyo xaqiijinta waa mid ka mid ah dhinacyo badan oo kala duwan oo lagu dhex daray DSM si loo hagaajiyo waxtarka iyo si loo yareeyo wax-ku-oolnimada. 15 waxay qeexaysaa in habdhaqanka ansaxinta iyo hubin la'aanta ay soo bandhigtay khariidad abuurista iyo saadaasha waa in si madaxbanaan loo ansixiyo si loo hagaajiyo tayada khariidadda. Xaddidaadda DSM waxaa sabab u ah tayada ciidda ee kala firirsan, taas oo ku lug leh qayb ka mid ah hubanti la'aanta; si kastaba ha ahaatee, la'aanta hubaal ee DSM ayaa laga yaabaa inay ka soo baxdo ilo badan oo qalad ah, kuwaas oo ah qalad isku dhafan, qalad model, qaladka goobta, iyo khaladaadka falanqaynta 31. Qaabaynta khaladaadka ku jira MLA iyo hababka juqraafiyeedka ayaa la xidhiidha faham la'aan, ugu dambeyntii taasoo keentay in la fududeeyo habka dhabta ah32. Iyadoo aan loo eegin dabeecadda moodeelka qaabaynta, la taaban karo. Saadaasha, ama interpolation33. Dhawaan, isbeddel cusub oo DSM ah ayaa soo baxay kaas oo kor u qaadaya isdhexgalka geostatistics iyo MLA ee khariidaynta iyo saadaasha. Dhowr saynisyahano iyo qoraayo, sida Sergeev et al. 34; Subbotina iyo al. 35; Tarasov iyo al. 36 iyo Tarasov et al. 37 waxay ka faa'iidaysteen tayada saxda ah ee geostatistics iyo barashada mashiinka si ay u abuuraan moodooyin isku dhafan oo hagaajiya waxtarka saadaasha iyo khariidaynta. tayada.Qaar ka mid ah moodooyinkaas isku-dhafka ah ama isku-dhafka ah ee algorithm waa Kriging Neural Network ee Artificial (ANN-RK), Multilayer Perceptron Residual Kriging (MLP-RK), Guud ahaan Dib-u-kicinta Neural Network Residual Kriging (GR- NNRK) Dib u gurasho38.
Sida laga soo xigtay Sergeev et al., isku darka farsamooyinka moodeelka kala duwan ayaa awood u leh in la baabi'iyo cilladaha iyo kordhinta waxtarka qaabka isku-dhafka ah ee ka dhalanaya halkii ay ka horumarin lahaayeen qaabkeeda hal-abuurka ah Qaabka aasaasiga ah oo ay la socdaan Mashiinnada Taageerada Vector Machine (SVM) iyo Multiple Linear Regression (MLR). Isku-dhafka EBK ee leh MLA lama yaqaan. Noocyada kala duwan ee isku dhafan ee la arkay waa isku-dhafka caadiga ah, haraaga, dib-u-celinta kriging, iyo MLA.EBK waa habka is-dhexgalka juqraafiyeed ee isticmaala habka is-dhexgalka oo aan lahayn meel bannaan oo aan kala sooc lahayn. qeexan xuduudaha deegaanka, taas oo u oggolaanaysa kala duwanaansho booseed39.EBK ayaa loo adeegsaday cilmi-baarisyo kala duwan, oo ay ku jiraan falanqaynta qaybinta kaarboonka organic ee carrada beeraha40, qiimaynta wasakhowga ciidda41 iyo khariidaynta hantida ciidda42.
Dhinaca kale, Graph Self-Organizing Graph (SeOM) waa algorithm waxbarasho oo lagu dabaqay maqaallo kala duwan sida Li et al. 43, Wang iyo al. 44, Hossain Bhuyan iyo al. 45 iyo Kebonye et al.46 Go'aami sifooyinkiisa iyo kooxaynta curiyeyaasha.Wang et al. 44 waxay qeexaysaa in SeOM ay tahay farsamo waxbarasho oo awood leh oo loo yaqaano awoodda kooxaynta iyo qiyaasida dhibaatooyinka aan tooska ahayn. Si ka duwan farsamooyinka kale ee aqoonsiga qaabka sida falanqaynta qaybaha muhiimka ah, koox-fudud-fudud, ururinta kala sareynta, iyo go'aan qaadashada shuruudaha badan, SeOM waxay ku fiican tahay abaabulka iyo aqoonsiga qaababka PTE. Sida laga soo xigtay Wang et al. 44, SeOM waxay kooxeyn kartaa qaybinta neurons-ka la xidhiidha waxayna bixin kartaa muuqaal xog heersare ah.
Warqadani waxay ujeedadeedu tahay in ay abuurto qaab khariidad adag oo sax ah oo qumman oo loogu talagalay saadaalinta nuxurka nikkel ee magaalooyinka iyo magaalooyinka hareeraheeda. Waxaan qiyaasaynaa in isku halaynta qaabka isku dhafan ay inta badan ku xiran tahay saameynta moodooyinka kale ee ku xiran qaabka aasaasiga ah. Waxaan aqoonsannahay caqabadaha soo wajaha DSM, iyo iyada oo caqabadahan lagu wajahayo dhinacyo badan, isku darka horumarka laga sameeyay moodooyinka geostatistics iyo MLA Sidaa darteed, waxaan isku dayi doonaa inaan ka jawaabno su'aalaha cilmi-baarista kuwaas oo laga yaabo inay soo saaraan noocyo isku dhafan. Si kastaba ha ahaatee, sida saxda ah ee qaabka loo saadaaliyo curiyaha bartilmaameedka? Sidoo kale, waa maxay heerka qiimeynta waxtarka leh ee ku salaysan ansaxinta iyo qiimeynta saxnaanta? Sidaa darteed, ujeedooyinka gaarka ah ee daraasaddan waxay ahaayeen in (a) la abuuro qaab isku dhafan oo isku dhafan oo loogu talagalay SVMR ama MLR iyadoo la adeegsanayo EBK sida qaabka saldhigga ah, (bc) saadaalinta isku dhafka ah ee qaabka ugu fiican carrada magaalooyinka ama agagaarkeeda , iyo (d) codsiga SeOM si loo abuuro khariidad heer sare ah oo kala duwanaansho booseed nikkel ah.
Daraasadda waxaa lagu qabtaa Jamhuuriyadda Czech, gaar ahaan degmada Frydek Mistek ee gobolka Moravia-Silesian (fiiri sawirka 1) Juqraafiga goobta daraasaddu waa mid aad u qallafsan oo inta badan ka tirsan gobolka Moravia-Silesian Beskidy, oo ah qayb ka mid ah cirifka bannaanka ee Buuraha Carpathian. Goobta daraasaddu waxay ku taallaa inta u dhaxaysa 49′0′ 1′ 2º ℃ oo jooggu wuxuu u dhexeeyaa 225 iyo 327 m; Si kastaba ha ahaatee, nidaamka kala soocidda Koppen ee xaaladda cimilada gobolka waxaa lagu qiimeeyaa sida Cfb = cimilada cimilada badweynta, Waxaa jira roob badan oo xitaa bilaha engegan. Heerkulka wax yar ayaa kala duwan sanadka oo dhan inta u dhaxaysa -5 °C iyo 24 °C, dhif hoos hoos -14 °C ama ka sarreeya 30 °C, halka celceliska waa inta u dhaxaysa 7 iyo 8 preci sanadkii. aagga oo dhan waa 1,208 kiiloomitir oo laba jibbaaran, oo leh 39.38% dhulka la beeray iyo 49.36% ee daboolka kaynta daxalka) iyo biraha daxalka ah (nickel waxa uu kordhiyaa xoogga Alloynka halka ilaalinta ay ductility wanaagsan iyo adkaanta), iyo beeraha degdega ah sida codsiga bacriminta fosfooraska iyo wax soo saarka xoolaha waa cilmi ilaha iman kara ee nikkel ee gobolka (tusaale, ku daray in nikkel si baradho ah si loo kordhiyo heerka koritaanka ee baraarka iyo lo'da-hooseeya). Nidaamyada dahaadhinta elektiroonigga ah ee nikkel. Guryaha ciidda si fudud ayaa loo kala sooci karaa midabka ciidda, qaab dhismeedka, iyo content carbonate. The texture ciidda waa dhexdhexaad ah si fiican, ka soo jeeda material waalidka.They yihiin colluvial, alluvial ama aeolian ee nature.Some meelaha ciidda u muuqataa mottled ee dusha iyo dhulka hoostiisa, inta badan la shubka iyo bleaching. Si kastaba ha ahaatee, cambisols ee noocyada sare ee gobolka. inta u dhaxaysa 455.1 ilaa 493.5 m, cambisols ayaa xukuma Czech Republic49.
Khariidadda goobta daraasadda [Khariidadda goobta daraasadda waxaa la sameeyay iyadoo la adeegsanayo ArcGIS Desktop (ESRI, Inc, nooca 10.7, URL: https://desktop.arcgis.com)
Isku darka 115 muunadaha carrada sare ayaa laga helay carrada magaalooyinka iyo agagaarka magaalada ee degmada Frydek Mistek. Nashqada muunada ee la isticmaalay waxay ahayd shabakad joogto ah oo leh muunado carro ah oo u dhexeeya 2 × 2 km, iyo ciidda dusheeda waxaa lagu qiyaasaa qoto dheer oo ah 0 ilaa 20 cm iyadoo la adeegsanayo qalab gacanta lagu hayo (Leica Zeno 5 GPS, baakadaha GPS ee lagu dhejiyay, baakadaha loo yaqaan 'GPS' ee lagu dhejiyay). Shaybaarka.Shaybaarada ayaa lagu qallajiyey hawada si ay u soo saaraan muunado la jajabiyey, oo lagu miiray nidaamka farsamada (Fritsch disc Mill), iyo shaandheyn (xajmiga shaandhada 2 mm) .Meesha 1 garaam oo la qalajiyey, isku-dhafka iyo shaybaarka ciidda ee si cad loo calaamadiyey dhalooyinka teflon. Mid kasta oo Teflon ah, sii 7 ml oo ah 65% HHC ah (35% H 35% H) ah. qaybiyaha - mid ka mid ah acid kasta), si khafiif ah u dabool oo u oggolow shaybaarada inay habeenkii u istaagaan falcelinta (barnaamijka aqua regia) in, shaandheyn dusha sare ee la karkariyey ee tuubada 50 ml ee PVC oo leh biyo deionized. Intaa waxaa dheer, 1 ml oo ah xalinta dareeraha ayaa lagu qasi jiray 9 ml oo biyo ah oo la nadiifiyey oo lagu sifeeyay tuubo 12 ml ah oo loo diyaariyey PTE-u-fiirin. (Inductively Coupled Plasma Optical Emission Spectroscopy) (Thermo Fisher Scientific, USA) sida waafaqsan hababka caadiga ah iyo heshiis. Xaqiijinta Hubinta Tayada iyo Xakamaynta (QA/QC) hababka (SRM NIST 2711a Montana II Ciid) .PTE-yada leh xaddidaad ogaansho oo ka hooseeya kala badh ayaa laga saaray daraasaddan xaddidan ee lagu ogaanayo PTE. 0.0004.(adi)
Empirical Bayesian Kriging (EBK) waa mid ka mid ah farsamooyin badan oo geostatistical interpolation loo isticmaalo qaabaynta ee beeraha kala duwan sida sayniska ciidda.Unlike farsamooyinka interpolation kriging kale, EBK ka duwan hababka kriging dhaqameed iyadoo la tixgelinayo qaladka lagu qiyaasay model semivariogram ah.In interpolation EBK, dhowr nooc semivariogram ayaa la isku koobay inta lagu guda jiro semivariogram. hab loogu sameeyo hubin la'aanta iyo barnaamijyada la xidhiidha qorshaynta this of semivariogram in ka kooban qayb aad u adag oo ah habka kriging ku filan.The interpolation ee EBK raacaya saddexda shuruudood oo ay soo jeedinayaan Krivoruchko50, (a) model qiyaaso semivariogram ka dataset input (b) qiimaha cusub ee la saadaaliyay ee kasta dataset meel) ka soo saara qaab-dhismeed ka kooban yahay goobta ugu dambeeya. Dataset la isku daray
Meesha \ (Prob \ bidix (A \ right) \) ka dhigan tahay ka hor, \ ( dhibaatada \ bidix (B \ xaq) \) ixtimaalka marginal waa la iska indha inta badan, \ (Prob (B, A) \ ) . Xisaabinta semivariogram waxay ku salaysan tahay xeerka Bayes, taas oo muujinaysa u janjeera of observation datasets in la abuuri karaa laga bilaabo semivariograms, kaas oo go'aamin kara gobollada Bay' semivariogram. sida ay u badan tahay in la abuuro xog-ururin ah oo laga soo qaatay semivariogram-ka.
Mashiinka vector-ka taageerada waa algorithm barashada mashiinka kaas oo soo saara hyperplane kala soocida ugu wanaagsan si loo kala saaro isku mid ah laakiin aan ahayn fasalo madax-bannaan oo toosan.Vapnik51 ayaa abuuray algorithm-ka-soocidda ujeeddada, laakiin dhawaan ayaa loo isticmaalay si loo xalliyo dhibaatooyinka ku wajahan dib-u-celinta Dib-u-celinta - SVMR) ayaa loo adeegsaday falanqayntan.Cherkassky iyo Mulier53 waxay hormuud ka ahaayeen SVMR sida dib-u-celinta kernel-ku-salaysan, xisaabinta taas oo lagu sameeyay iyada oo la adeegsanayo qaabka dib-u-celinta tooska ah ee hawlaha gudaha ee dalal badan. iyo al. 55, epsilon (ε) -SVMR waxay isticmaashaa xogta loo tababaray si ay u hesho qaab matalaad ah sida shaqada epsilon-dareenka ah oo lagu dabaqo khariidadda xogta si madaxbannaan iyada oo la raacayo eexda epsilon ee ugu fiican ee tababarka ku saabsan xogta isku xiran. Cilad fogaanta hore ayaa la iska indhatiray qiimaha dhabta ah, iyo haddii qaladku ka weyn yahay ε (sε), guryaha carrada ayaa hoos u dhigaya kakanaanta xogta hoose ee taageerada. isla'egta uu soo jeediyay Vapnik51 ayaa hoos lagu muujiyay.
halka b u taagan tahay marinka scalar, \(K\bidix({x}_{,}{ x}_{k}\right)\) waxay u taagan tahay shaqada kernel, \(\ alpha \) waxay ka dhigan tahay Lagrange multiplier, N waxay matalaysaa xog-ururin, \({x}_{k} \) waxay u taagan tahay gelinta xogta, iyo \(y\) oo ah xogta la isticmaalo. waa Gaussian radial base function (RBF)
Qaabka regression-ka badan ee toosan (MLR) waa moodal dib-u-celin ah oo ka tarjumaya xiriirka ka dhexeeya doorsoomiyaha jawaabta iyo tiro doorsoomayaal saadaaliya iyadoo la adeegsanayo cabbirro isku dhafan oo toosan oo la xisaabiyay iyadoo la adeegsanayo habka ugu yar ee afar geesoodka ah. xiriirka kala dhexeeya doorsoomayaasha sharraxaadda. Isla'egta MLR waa
halka y uu yahay doorsoomiyaha jawaabta, \(a \) waa dhexda, n waa tirada saadaaliyayaal, \({b}_{1}\) waa dib u noqoshada qaybeed ee coefficients, \({x}_{ i}
Moodooyinka isku dhafan waxaa lagu helay sandwiching EBK oo leh SVMR iyo MLR.Tani waxaa lagu sameeyaa iyada oo la soo saarayo qiyamka la saadaaliyay ee ka soo baxa EBK. Doorsoomayaasha la helay waa Ca, K, Mg, CaK, CaMg, KMg iyo CaKMg. Doorsoomayaashani waxay noqdeen saadaashayada, caawinta in la saadaaliyo uruurinta nikkel ee carrada magaalooyinka iyo xaafadaha magaalada. Algorithm ee SVMR waxaa lagu sameeyay saadaasha si loo helo moodal isku dhafan Empirical Bayesian Kriging-Support Vector Machine (EBK_lyVMSL) Empirical Bayesian Kriging-Multiple Linear Regression(EBK_MLR) daraasaddan ayaa lagu muujiyay sawirka 2.
Isticmaalka SeOM waxa uu noqday qalab caan ah oo loogu talagalay abaabulka, qiimaynta, iyo odoroska xogta ee qaybta maaliyadda, daryeelka caafimaadka, warshadaha, statistics, sayniska ciidda, iyo more.SeOM waxaa la abuuray iyadoo la isticmaalayo shabakadaha neural macmal ah iyo hababka waxbarasho ee aan la kormeerin ee abaabulka, qiimaynta, iyo saadaalin.In daraasaddan, SeOM loo isticmaalay si ay u milicsan Ni- uruurinta ku salaysan habka ugu wanaagsan ee magaalooyinka iyo in la saadaaliyo habka ugu wanaagsan ee magaalada. Qiimaynta SeOM waxa loo istcimaalaa sidii n input-cabbir doorsoomayaasha vector43,56.Melssen et al. 57 waxay qeexaysaa isku xirka vector-ka gelinta shabakada neerfaha iyada oo loo marayo hal lakab oo wax-soo-saarka leh oo leh hal-beeg miisaan leh.Wax soo saarka SeOM waa khariidad laba-geesood ah oo ka kooban neurons ama noodes kala duwan oo lagu dhejiyay khariidado heer-sare ah, wareeg ah, ama labajibbaaran khariidadaha dusha sare sida ay u dhow yihiin 0.086 iyo 0.904, siday u kala horreeyaan, ayaa la doortay, taas oo ah cutubka 55-map (5 × 11) . Qaab dhismeedka neuron waxaa lagu go'aamiyaa iyadoo loo eegayo tirada qanjidhada ee isla'egta empirical
Tirada xogta loo isticmaalo daraasaddan waa shaybaarada 115. Habka random ayaa loo isticmaalay in lagu kala qaybiyo xogta xogta imtixaanka (25% ee ansaxinta) iyo xogta tababarka (75% for calibration). Nidaamka ansaxinta toban-laab ah, oo lagu celceliyo shan jeer ("Metrics").
Noocyada kala duwan ee ansaxinta ayaa loo isticmaalay si loo go'aamiyo qaabka ugu fiican ee ku habboon saadaalinta qiyaasta nikkel ee ciidda iyo si loo qiimeeyo saxnaanta qaabka iyo ansaxinta. Noocyada isku-dhafka ayaa lagu qiimeeyay iyada oo la adeegsanayo khaladka saxda ah (MAE), qaladka xididka celceliska (RMSE), iyo R-squared or coefficient go'aaminta (R2) .RMSE waxay qeexaysaa kala duwanaanshaha saamiga jawaabta iyo dib u noqoshada. Tallaabooyinku waxay qeexayaan awoodda saadaasha ee qaabka, halka MAE ay go'aamiso qiimaha dhabta ah ee dhabta ah. Qiimaha R2 waa inuu ahaadaa mid sarreeya si loo qiimeeyo qaabka isku dhafka ugu fiican iyadoo la adeegsanayo cabbirada ansaxinta, qiimaha u dhow ee 1, ayaa sarreeya saxnaanta. Sida laga soo xigtay Li et al. 59, qiimaha R2 ee 0.75 ama ka weyn ayaa loo arkaa saadaaliye wanaagsan; laga bilaabo 0.5 ilaa 0.75 waa waxqabadka moodeelka ee la aqbali karo, ka hooseeya 0.5 waa waxqabadka moodeelka aan la aqbali karin.Marka la dooranayo moodal isticmaalaya hababka qiimeynta shuruudaha ansaxinta RMSE iyo MAE, qiyamka hoose ee la helay ayaa ku filan waxaana loo tixgeliyey doorashada ugu fiican. Isla'egta soo socota ayaa qeexaysa habka xaqiijinta.
halka n ka dhigan tahay cabbirka qiimaha la arkay \({Y}_{i} \) waxay u taagan tahay jawaabta la cabbiray, iyo \({\ widehat{Y}}_{i} \) sidoo kale waxay u taagan tahay qiimaha jawaabta la saadaaliyay, sidaa darteed, indha-indheynta ugu horreysa.
Sharaxaadda tirakoobka ee doorsoomayaasha saadaasha iyo jawaabta ayaa lagu soo bandhigay shaxda 1, oo muujinaysa celceliska, jaangooyada caadiga ah (SD), coefficient of variation (CV), ugu yaraan, ugu badnaan, kurtosis, iyo qallooca ilaa 42.39 mg/kg Si la mid ah, celceliska fiirsashada Frydek Mistek ee magaalooyinka iyo hareeraha magaalooyinka ee daraasadda hadda jirta (Ni 16.15 mg / kg) waxay ka sarreysey xadka la oggol yahay ee 60 (10.2 mg / kg) ee Ni ee carrada magaalooyinka Polish ayaa lagu soo warramey Różański et al. Intaa waxaa dheer, Bretzel iyo Calderisi 1 aad u hooseeya. Ciidda Tuscany marka la barbar dhigo daraasadda hadda.Jim62 ayaa sidoo kale laga helay nikkel hoose (12.34 mg / kg) ee carrada magaalooyinka Hong Kong, taas oo ka hooseysa fiirsashada nikkel hadda ee daraasaddan.Birke et al63 ayaa sheegay in celceliska Nikkel ee 17.6 mg / kg ee macdanta duugga ah iyo aagga warshadaha magaalooyinka ee Saxony-Anhalt / Germany, Nik. (16.15 mg/kg). 64 in warshadaha birta iyo biraha ay yihiin ilaha ugu muhiimsan ee wasakheynta nikkel ee carrada. Si kastaba ha ahaatee, saadaaliyayaashu waxay sidoo kale u dhexeeyaan 538.70 mg / kg ilaa 69,161.80 mg / kg ee Ca, 497.51 mg / kg ilaa 3535.68 mg / kg ee K, iyo 65 mg / 5kg. ee Mg.Jakovljevic et al. 65 ayaa baadhay wadarta guud ee Mg iyo K ee carrada bartamaha Serbia. Waxay ogaadeen in isku-darka guud (410 mg / kg iyo 400 mg / kg, siday u kala horreeyaan) ay ka hooseeyaan Mg iyo K ee daraasadda hadda jirta. Lama garan karo, bariga Poland, Orzechowski iyo Smolczynski66 ayaa qiimeeyay wadarta guud ee Caq0 iyo 1. mg/kg), Mg (590 mg/kg) iyo K (810 mg/kg) Waxa ku jira carrada sare waxay ka hoosaysaa hal unug ee daraasaddan. Daraasad dhowaan ay samaysay Pongrac et al. 67 waxay muujisay in wadarta guud ee maadada Ca ee lagu falanqeeyay 3 carradood oo kala duwan oo ku yaala Scotland, UK ( Ciidda Mylnefield, Ciid Balruddery iyo Ciida Hartwood) ay muujinayso maadada Ca sare ee daraasaddan.
Iyada oo loo eegayo kala duwanaansho la cabbiray ee walxaha la soo xulay, qaybinta xogta xogta ee walxaha waxay soo bandhigtaa qalloocyo kala duwan. Qalfoofka iyo kurtosis ee walxaha waxay u dhexeeyaan 1.53 ilaa 7.24 iyo 2.49 ilaa 54.16, siday u kala horreeyaan. jihada saxda ah iyo meesha ugu sarreysa.CV-yada la qiyaasay ee walxaha waxay sidoo kale muujinayaan in K, Mg, iyo Ni ay muujiyaan kala duwanaansho dhexdhexaad ah, halka Ca uu leeyahay kala duwanaansho aad u sarreeya.CV-yada K, Ni iyo Mg waxay sharxayaan qaybinta labiskooda. Intaa waxaa dheer, qaybinta Ca waa mid aan labis ahayn iyo ilaha dibadda ayaa laga yaabaa inay saameeyaan heerka kobcinta.
Isku-xidhka doorsoomayaasha saadaasha leh ee jawaabaha jawaab-celinta waxay muujiyeen isku xirnaanta ku qanacsanaanta u dhexeeya walxaha (fiiri Jaantuska 3) Isku-xidhka ayaa tilmaamaya in CaK ay muujisay isku-xirnaansho dhexdhexaad ah oo leh r qiimaha = 0.53, sida CaNi. Inkasta oo Ca iyo K ay muujiyaan ururo dhexdhexaad ah oo midba midka kale ah, cilmi-baarayaasha sida Kingston et al. 68 iyo Santo69 waxay soo jeedinayaan in heerarkooda carradu ay yihiin kuwo isku dheelitiran. Si kastaba ha ahaatee, Ca iyo Mg waxay ka soo horjeedaan K, laakiin CaK waxay si fiican u xiriirisaa. Tani waxay sabab u tahay codsiga bacriminta sida potassium carbonate, taas oo ah 56% sare ee potassium. Potassium wuxuu ahaa mid dhexdhexaad ah oo la xidhiidha magnesium (KM r = 0.63), sababtoo ah laba qaybood oo magnesium ah ayaa ku xiran bacriminta potassium. Nitrate, iyo potash ayaa lagu dabaqaa carrada si loo kordhiyo heerka yaraantooda.Nickel waxay si dhexdhexaad ah ula xiriirtaa Ca, K iyo Mg oo leh r qiyam ah = 0.52, 0.63 iyo 0.55, siday u kala horreeyaan. saamaynta sunta ah ee nikelku ku leeyahay ciidda.
Matrix iskuxiran ee walxaha muujinaya xidhiidhka ka dhexeeya saadaasha iyo jawaabaha (Fiiro gaar ah: jaantuskan waxaa ku jira kala firdhiso u dhexeeya walxaha, heerarka muhiimka ah waxay ku saleysan yihiin p <0,001).
Jaantuska 4 waxa uu muujinayaa qaybaha kala duwan ee qaybaha. Sida laga soo xigtay Burgos et al70, codsiga qaybinta dhulku waa farsamo loo isticmaalo in lagu qiyaaso laguna muujiyo meelaha kulul ee meelaha wasakhaysan. Heerarka kobcinta Ca ee sawirka 4 waxaa laga arki karaa qaybta waqooyi-galbeed ee khariidadda qaybinta. Quicklime (kalsiyum oxide) si loo yareeyo aysidhka ciidda iyo isticmaalka birta birta sida oxygen alkaline ee habka steelmaking.On dhanka kale, beeralayda kale door bidaan in ay isticmaalaan calcium hydroxide ee carradu acidic si ay u baabi'iyaan pH, taas oo sidoo kale kordhisaa content calcium ee ciidda71.Potassium sidoo kale muujinaysaa dhibco kulul ee waqooyi-galbeed iyo bariga ee map-ka Waqooyi-galbeed waa laga yaabaa in qaab-dhexdhexaad ah oo ka mid ah bulshada- Potassium-ka ugu weyn ee qaab-dhismeed ah. Codsiyada NPK iyo potash.Tani waxay la socotaa daraasado kale, sida Madaras iyo Lipavský72, Madaras et al.73, Pulkrabova et al.74, Asare et al.75, kuwaas oo arkay in xasilinta ciidda iyo daaweynta KCl iyo NPK ay keentay in sare u kaca K ee ciidda. Kobcinta Potassium Spatial ee waqooyi-galbeed ee khariidadda qaybinta waxaa laga yaabaa in ay sabab u tahay isticmaalka Bacriminta potassium-ku salaysan sida chloride potassium, potassium sulfate, nitrate potassium, potash, iyo potash si loo kordhiyo content potassium ee carrada saboolka ah.Zádorová et al. 76 iyo Tlustoš et al. 77 ayaa qeexay in codsiga bacriminta K-ku salaysan ay kordhisay maadada K ee ciidda waxayna si weyn u kordhin doontaa nuxurka nafaqada ciidda mustaqbalka fog, gaar ahaan K iyo Mg oo muujinaya meel kulul ee ciidda chlorosis.Magnesium-ku salaysan Bacriminta, sida potassium magnesium sulfate, magnesium sulfate, iyo Kieserite, daaweeyaan deficiency (dhirta u muuqataa guduud, casaan, ama brown, oo tilmaamaya deficiency magnesium) ee carradu leh heerka pH caadiga ah.
Qaybinta qaybaha qaybaha [khariidad qaybinta boosaska waxaa la sameeyay iyadoo la adeegsanayo ArcGIS Desktop (ESRI, Inc, Version 10.7, URL: https://desktop.arcgis.com)]
Natiijooyinka tusmada waxqabadka moodeelka ee walxaha loo isticmaalo daraasaddan ayaa lagu muujiyay Shaxda 2. Dhanka kale, RMSE iyo MAE ee Ni labaduba waxay ku dhow yihiin eber (0.86 RMSE, -0.08 MAE) . Dhanka kale, labadaba RMSE iyo MAE qiimaha K waa la aqbali karo. MAE ee daraasaddan iyadoo la adeegsanayo EBK si loo saadaaliyo Ni ayaa la ogaaday inay ka wanaagsan tahay natiijooyinka John et al. 54 iyadoo la adeegsanayo kriging isku dhafan si loo saadaaliyo uruurinta S ee ciidda iyadoo la adeegsanayo isla xogta la ururiyay. Wax soo saarka EBK ee aan baranay waxay la mid yihiin kuwa Fabijaczyk et al. 41, Yan iyo al. 79, Beguin iyo al. 80, Adhikary iyo al. 81 iyo John et al. 82, gaar ahaan K iyo Ni.
Waxqabadka hababka gaarka ah ee saadaalinta nuxurka nikkel ee magaalooyinka iyo magaalooyinka hareeraheeda ayaa la qiimeeyay iyadoo la adeegsanayo waxqabadka moodooyinka (Shaxda 3) . Xaqiijinta qaabka iyo qiimeynta saxda ah waxay xaqiijisay in saadaalinta Ca_Mg_K oo ay weheliso qaabka EBK SVMR uu keenay waxqabadka ugu fiican. Habka Calibration Ca_Mg_K-EBK_SVMR model ab 0.637 (R2), 95.479 mg/kg (RMSE) iyo 77.368 mg/kg (MAE) Ca_Mg_K-SVMR waxay ahayd 0.663 (R2), 235.974 mg/kg (RMSE) iyo 166.946 mg/kg (MAE) qiimaha wanaagsan ee RN2. Ca_Mg_K-SVMR (0.663 mg/kg R2) iyo Ca_Mg-EBK_SVMR (0.643 = R2); Natiijooyinkooda RMSE iyo MAE waxay ka sarreeyaan kuwa Ca_Mg_K-EBK_SVMR (R2 0.637) (fiiri shaxda 3) Ca_Mg_K-EBK_SVMR.Si la mid ah, RMSE iyo MAE ee Ca_Mg-K SVMR (RMSE = 235.974 iyo MAE = 166.946) moodelku waa 2.5 iyo 2.2 ka weyn kuwa Ca_Mg_K-EBK_SVMR sida xogta RMSE loo xisaabiyay iyo natiijada isku dhafan. oo leh xariiqda ugu habboon. Sareynta RSME iyo MAE ayaa la arkay. Sida laga soo xigtay Kebonye et al. 46 iyo john et al. 54, marka la eego RMSE iyo MAE waa eber, natiijada ka sii wanaagsan SVMR iyo EBK_SVMR waxay leeyihiin qiime sare oo RSME iyo MAE ah. Waxaa la arkay in qiyaasaha RSME ay si joogto ah uga sarreeyaan qiimaha MAE, taas oo muujinaysa joogitaanka dibadda. Sida laga soo xigtay Legates iyo McCabe83, celceliska SE waa in uu dhaafo qiyaasta saxda ah tilmaame ah joogitaanka dibadda.Tani waxay la macno tahay in xogta badan ee kala duwan, ay sare u kacayso qiimaha MAE iyo RMSE 59, heerkan saxda ah waa heerka waxqabadka moodeelka la aqbali karo. Natiijooyinka hadda jira ayaa la barbardhigay daraasad hore oo Tarasov et al. 36 kuwaas oo moodelkooda isku-dhafka ah uu abuuray MLPRK (Multiyer Perceptron Residual Kriging), oo la xidhiidha EBK_SVMR tusmada qiimaynta saxda ah ee lagu sheegay daraasadda hadda jirta, RMSE (210) iyo MAE (167.5) ayaa ka sarreeya natiijooyinkayada daraasadda hadda jirta (RMSE 95.479, MAE 77.368). (0.637) oo leh Tarasov et al. 36 (0.544), way caddahay in isku-dhafka go'aaminta (R2) uu ka sarreeyo qaabkan isku dhafan. Xadka qaladka (RMSE iyo MAE) (EBK SVMR) ee qaabka isku-dhafka ah waa laba jeer ka hooseeya. Sidoo kale, Sergeev et al.34 waxay diiwaan geliyeen 0.28 (R2) ee horumarinta naqshadaynta isku-dhafka ah (Multilayer Percept) ee hadda jira, Residiyer Percepti 0.637 (R2) .Heerka saxda ah ee saadaasha qaabkan (EBK SVMR) waa 63.7%, halka saadaasha saadaasha ee Sergeev et al. 34 waa 28% Khariidadda kama dambaysta ah (Jaantus 5) ee la sameeyay iyadoo la adeegsanayo qaabka EBK_SVMR iyo Ca_Mg_K oo ah saadaaliyayaal waxay muujinayaan saadaasha dhibco kulul iyo dhexdhexaad ilaa nikkel oo dhan aagga daraasadda. Tani waxay ka dhigan tahay in diiradda nikkel ee goobta daraasaddu ay inta badan dhexdhexaad tahay, oo leh meelo badan oo gaar ah.
Khariidadda saadaasha kama dambaysta ah waxaa lagu soo bandhigay iyadoo la adeegsanayo qaabka isku-dhafka ah ee EBK_SVMR iyo iyadoo la adeegsanayo Ca_Mg_K sida saadaalinta.
Waxaa lagu soo bandhigay Jaantuska 6 waa PTE-xoojinta sida diyaarad ka kooban oo ka kooban neurons shakhsi ah. Mid ka mid ah diyaaradaha qayb ka mid ah ma soo bandhigin qaabka midabka isku midka ah sida lagu muujiyay. Si kastaba ha ahaatee, tirada ku habboon ee neurons ee khariidadda la sawiray waa 55. SeOM waxaa la soo saaraa iyadoo la adeegsanayo midabyo kala duwan, iyo inta badan ee la midka ah qaababka midabka, inta badan isbarbardhigga sifooyinka shaybaarada. Qaababka midabka ilaa hal neurons sare iyo kuwa ugu hooseeya ee neurons.Sidaas darteed, CaK iyo CaMg waxay wadaagaan qaar ka mid ah waxyaabaha la midka ah ee dareemayaasha aadka u sarreeya iyo qaababka midabka hooseeya ee dhexdhexaadka ah.Labada noocba waxay saadaaliyaan xoojinta Ni ee ciidda iyagoo soo bandhigaya midabyo dhexdhexaad ah ilaa midabo sare sida casaan, oranji iyo jaalle sare, qaabka qaybinta qorshaynta ee qaybaha qaabka ayaa muujiyay qaab midab sare leh oo tilmaamaya awoodda nikkel ee ciidda (fiiri Jaantuska 4) . Diyaaradda qaybta qaybta CakMg waxay muujinaysaa midab kala duwan oo hooseeya ilaa sare marka loo eego cabbirka midabka saxda ah. Intaa waxaa dheer, saadaasha moodeelka ee nuxurka nikkel (CakMg) waxay la mid tahay qaybinta baaxadda ee nikkel ee muujinta sare ee bandhigga 5. Jaantuska 7 wuxuu muujinayaa habka konturrada ee k-macnaheedu waa kooxaynta khariidada, oo loo qaybiyay saddex rucubood oo ku salaysan qiimaha la saadaaliyay ee nooc kasta. Habka contour wuxuu ka dhigan yahay tirada ugu fiican ee cluster-ka. la helay shaybaarada 8. Isku darka saadaasha qorshaynta ee todobada qaybood ah ayaa la fududeeyay si loogu oggolaado tarjumaad sax ah oo kutlada ah. Sababtoo ah tirooyinka badan ee anthropogenic iyo hababka dabiiciga ah ee saameeya samaynta ciidda, way adagtahay in si habboon loo kala saaro qaababka kooxda ee khariidadda SeOM78 ee la qaybiyay.
Wax soo saarka diyaaradda qayb kasta oo Empirical Bayesian Kriging Support Vector Machine (EBK_SVM_SeOM) doorsoome.
Qaybaha kala soocidda kooxeed ee kala duwan [maab SeOM waxa la abuuray iyadoo la isticmaalayo RStudio (nooca 1.4.1717: https://www.rstudio.com/)]
Daraasadda hadda jirta waxay si cad u muujineysaa farsamooyinka moodaynta nikkel ee magaalooyinka iyo carrada magaalooyinka. xaqiijiyaa qaybinta boosaska qorshaysan ee qaybaha soo bandhigay by EBK_SVMR (eeg Jaantuska 5) .Natiijooyinka ayaa muujinaya in taageerada mashiinka regression model (Ca Mg K-SVMR) saadaaliyay fiirsashada Ni ee ciidda sida hal model ah, laakiin xaqiijinta iyo xuduudaha qiimaynta saxda ah ayaa muujinaya khaladaad aad u sarreeya marka la eego RMSE iyo MAE.On dhinaca kale, shaqaaleysiin MLed farsamada sabab u tahay EB. Qiimaha hooseeya ee isku-dhafka go'aaminta (R2) .Natiijooyin wanaagsan ayaa la helay iyadoo la adeegsanayo EBK SVMR iyo walxaha isku dhafan (CaKMg) oo leh khaladaad RMSE iyo MAE hooseeya oo sax ah 63.7% .Waxay soo baxday in isku-darka algorithm ee EBK ee mashiinka barashada algorithm uu dhalin karo algorithm hybrid kaas oo saadaalin kara xoojinta PTE-yada ee ciidda. of Ni in carradu.Tani waxay ka dhigan tahay in codsiga joogtada ah ee bacriminta nikkel-ku salaysan iyo wasakheynta warshadaha ee ciidda by warshadaha birta ayaa u janjeera in la kordhiyo fiirsashada ee nikkel ee ciidda. Daraasaddan ayaa shaaca ka qaaday in model EBK hoos u dhigi kartaa heerka qaladka iyo hagaajinta saxnaanta model ee qaybinta baaxadda ciidda ee magaalooyinka ama agagaarka carradu.In guud ahaan, waxaan soo jeedinaynaa in la qiimeeyo -SV ee ciidda model PEB. Intaa waxaa dheer, waxaan soo jeedinaynaa in la isticmaalo EBK si hybridize la algorithms barashada mashiinka kala duwan.Ni la saadaaliyay iyadoo la isticmaalayo xubno sida covariates; si kastaba ha ahaatee, isticmaalka covariates badan ayaa si weyn u wanaajin doona waxqabadka qaabka, taas oo loo tixgelin karo xaddidaadda shaqada hadda jirta. Xaddidaadda kale ee daraasaddan ayaa ah in tirada xogta ay tahay 115. Sidaa darteed, haddii xog dheeraad ah la bixiyo, waxqabadka habka isku-dhafka ah ee la soo jeediyay waa la hagaajin karaa.
PlantProbs.net.Nickel ee Dhirta iyo Ciidda
Kasprzak, KS Nickel horumarka casriga ah ee deegaanka toxicology.surroundings.toxicology.11, 145-183 (1987).
Cempel, M. & Nikel, G. Nickel: Dib u eegis lagu sameeyay ilaha ay ka soo baxdo iyo sunta deegaanka. Polish J. Environment.Stud.15, 375-382 (2006).
Freedman, B. & Hutchinson, TC Talada wasakhaysan ee jawiga iyo ururinta ciidda iyo daaqa ee u dhow smelter nikkel-copper ee Sudbury, Ontario, Canada.can.J. Bot.58(1), 108-132.https://doi.org/10.1139/b80-014 (1980).
Manyiwa, T. et al. Biraha culus ee ciidda, dhirta iyo khataraha la xidhiidha daaqsinnada daaqsinka ah ee u dhow macdanta Selebi-Phikwe copper-nickel ee Botswana.surroundings.Geochemistry.Health https://doi.org/10.1007/s10653-021-02021x.
Cabata-Pendias.Kabata-Pendias A. 2011. Waxyaabaha raadraaca ciidda iyo… – Google Scholar https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Kabata-Pendias+A.+2011.+Trace+ Qaybaha+carrada+iyo+dhirta
Almås, A., Singh, B., Beeraha, TS-NJ ee & 1995, undefined. Saamaynta warshadaha nikkel ee Ruushka ee uruurinta birta culus ee carrada beeraha iyo cawska ee Soer-Varanger, Norway.agris.fao.org.
Nielsen, GD iyo al.Nickel nuugista iyo ku haysashada biyaha la cabbo waxay la xiriiraan qaadashada cuntada iyo dareenka nikkel.toxicology.application.Pharmacodynamics.154, 67-75 (1999).
Costa, M. & Klein, CB Nickel carcinogenesis, isbeddelka, epigenetics ama xulashada. hareeraynta. Aragtida Caafimaadka.107, 2 (1999).
Ajman, PC; Ajado, SK; Borůvka, L.; Bini, JKM; Sarkody, VYO; Cobonye, ​​NM; Falanqaynta isbeddelka ee walxaha suurtagalka ah ee sunta ah: dib u eegis bibliometric ah.Geochemistry deegaanka iyo caafimaadka.Springer Science & Business Media BV 2020.https://doi.org/10.1007/s10653-020-00742-9.
Minasny, B. & McBratney, AB Khariidaynta Ciidda Dijital ah: Taariikh Kooban iyo Casharrada Qaar.Geoderma 264, 301–311.https://doi.org/10.1016/j.geoderma.2015.07.017 (2016).
McBratney, AB, Mendonça Santos, ML & Minasny, B. On khariidaynta ciidda dhijitaalka ah.Geoderma 117(1-2), 3-52.https://doi.org/10.1016/S0016-7061(03)00223-4 (2003).
Deutsch.CV Geostatistical Reservoir Modeling,… – Aqoonyahanka Google https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=CV+Deutsch%2C+2002%2C+Geostatistical+Reservoir+Modeling%2C +Oxford+Jaamacada+Press%2C+376+bogag.+&btnG= (La galiyay 28 Abriil 2021).