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Enregistrement W6995626519

Persistent, Bio-accumulative And Toxic Contaminants In Coastal Marine Environment Of Pakistan

2013· dissertation· en· W6995626519 sur OpenAlexaboutno aff

Notice bibliographique

RevueHEC National Digital Library · 2013
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiquePlant Water Relations and Carbon Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContaminationPollutantIndusEstuaryIntertidal zonePollutionCoastal zoneEnvironmental monitoringPersistent organic pollutant
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The present work is the first of its kind to describe in detail the fate and distribution pattern of Persistence Bio accumulative and Toxic (PBTs) in the coastal area of Pakistan bordering North Arabian Sea.The PBTs included OCPs, PAHs and Dioxins and Dioxin like PCBs.Despite their widespread use and injurious effect of PBTs, little information is available on contamination levels of these pollutants in the coastal marine environment of Pakistan.Mangrove swamps, intertidal mudflats and Indus Deltaic creek represent main feature of the coastal marine environment.The coastal areas are of significance as there are spawning, breeding and nursery grounds of commercially important fishery resources. These living resources are under continuous threat of untreated industrial effluents and sewages discharges into coastal areas via several sources.To evaluate the contamination levels of PBTs, 61 sampling sites were selected along coastal Pakistan, 09 sites were identified along the Balochistan coast, while 47 sites were identified along the coastal Sindh, and 5 sites were located in the Indus River. In the current study, the analytical method routinely used in Environmental Toxicological Lab and Queensland Health Lab was adopted for identification quantification of organochlorine Pesticides, PCBs and PAHs. Analysis was carried out by using Varian 3400 Gas Chromatograph equipped with a Finnigan A 200S auto sampler and Finnigan SSQ710 Single Stage Quadrapole Mass Spectrometer. Sediments were sent to the ERGO Laboratory in Hamburg for the determination of 2,3,7,8-substituted PCDD/PCDF and dioxin-like PCB. Identification of PCDD/Fs was carried out by using retention times of the 13C-labelled standard and isotope ratios. The results on the contamination levels of PBTs revealed that residual concentration of Organochlorine Pesticides were considerably higher (17.5 ng g-1 dry wt.) in semi-enclosed area (Creeks and Karachi Harbour) in the effluent discharge areas, this was attributed to low tidal flushing. However, in the areas where port and harbour activities and untreated effluents from industrial and domestic sources are discharged, are reflective of highest PAHs contamination levels (2610.812 ng g-1 dry wt.) in the vicinity of Kemari jetty, Karachi Harbour area. Dioxin and Dioxin-like chemicals were detectable in all samples collected from Pakistan coastal environment. However, OCPs contamination levels in the sediment collected from Balochistan coastal environment were found below detection limit at almost all the sampling sites. Spatial distribution pattern were significantly different among the localities sampled (p<0.004). Distribution pattern of most of the PBTs were well correlated with total sediment organic carbon contents (p>0.767 & R2=0.66). A larger variation of ƒ°OCPs contamination levels (>0.002-17.5 ng g-1 dry wt. with a mean concentration of > 4.5 ng g-1 dry wt.) was observed in the samples collected from various localities of coastal area of Pakistan. The DDT�fs metabolites DDE were found in soft tissue of the marine biota (fishes, crab, shrimps and molluscs) collected from Coastal area.The residue of DDT mainly its metabolites DDE and DDD were detected in most of the samples in relatively higher concentrations, compared with the concentration obtained for other OCPs.The high proportion of pp�Œ-DDE at most of the site (41.95%) and ratio of ƒ°DDT and DDT (0.04 .0.24) suggests old inputs of DDTs in the environment, it is restriction have been made on the use of these chemicals. Pakistan has also switched over to natural pest control or using safer formulas.The concentrations of ƒ°16PAHs varied amongst the localities, highest concentrations (2610.81 ng g-1 dry wt.) were detected in sediment samples collected in vicinity of Karachi harbour. Relatively lower levels (>400ng/g) observed in Korangi creek area south east of Karachi. Higher concentrations of higher molecular weight PAHs such as (Benz(b+k) Fluoranthenen (>442.5 ng g-1 dry wt.), Ind(123cd)pyr (>270 ng g-1 dry wt.) and B(ghi) pryl (242.1 ng g-1 dry wt.) were detected near the discharge points of Lyari and Malir River.The Phen/Anth and Flth/Pyr concentration ratios indicated that mixture of pyrolytic and petrogenic PAHs sources at most of the site along the coast. First time water borne PAHs contaminations were estimated using Trioleinpassive sampler Semi Permeable Membrane Devices (SPMDs) as an alternative monitoring tool for coastal waters of Pakistan.The estimated water concentration was found to be highest in the harbour area (CwSPMDs 4.6ng/l) that is well correlated (R2 =0.5) with the evaluated contamination levels (CwSed. 35.67ng/l) using the levels observed in the sediment.According to the sediment quality standards of the USEPA and Canadian Council of Ministers of the Environment, observed levels of OCPs, PAHs and Dioxin contamination levels were generally lower than the threshold known to harm wildlife by OCPs. However, PAHs levels demonstrate moderate to low risk. Overall PCDD contributed to about 50 % of the TEQ in the samples with concentrations above 2 pg TEQ g-1 dwt and TCDD together with 1,2,3,7,8-PeCDD and 3,3',4,4',5-Penta-CB were the key contributors to the TEQ.The results clearly indicate the pollution problem regarding these contaminants was found localized and much lower than the concentrations reported from neighbouring and regional countries.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,209
Écart entre enseignants0,201 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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