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Record W2589450288 · doi:10.15625/0866-7187/38/2/8603

CHARACTERISTICS OF MARINE ENVIRONMENTAL GEOCHEMISTRY FROM HA TINH TO QUANG NAM (60-100M WATER DEPTH)

2016· article· en· W2589450288 on OpenAlexaboutno aff
Luong Le Huy, Mai Trọng Nhuận, Trần Đăng Quy, Hoang Van Tuan, Quach Manh Dat, Nguyen Duc Hoai, Nguyễn Tài Tuệ

Bibliographic record

VenueVietnam Journal of Earth Sciences · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsSeawaterSedimentEnvironmental chemistryCarbonateSurface waterGeochemistryGeologyWater qualityEnvironmental scienceOceanographyChemistryEnvironmental engineeringEcologyGeomorphology

Abstract

fetched live from OpenAlex

The aim of this study is to elucidate the characteristics of marine environmental geochemistry from Ha Tinh - Quang Nam (60-100m water depth) based on analysis of geochemical parameters of seawater and surface sediments. Surface sediments that are high in absorbed capacity of toxic substances mainly accumulated in northern study area. Seawater dominantly characterized by weak alkaline-weak oxidation and contained biodegradable organic materials. Almost anion and chemical element concentrations in seawater tended to decrease with depth, with an exception for SO42-, Br-, I- concentrations that had an opposite trend, increasing with depth and B, Hg concentrations displayed a complex variation. Sedimentary environments were highly predominant by weak alkaline-strong oxidizing features and carbonate-rich materials. Concentrations of anions and chemical elements tended to be higher in central area in comparison to northern and southern regions, and positively correlated with fine sediment compositions. Organochlorine pesticides (OCPs) concentration decreased with sediment depth, whilst polychlorinated biphenyls (PCBs) concentration had no clear trend. The organic material, heavy metal, OCPs and PCBs concentrations in seawater and sediments were all lower than environmental standards. The present results have provided important baseline data for monitoring marine environment quality and protecting the marine ecosystem of Ha Tinh - Quang Nam Sea.References Addo, M.A., Okley, G.M., Affum, H.A., Acquah, S., Gbadago, J.K., 2011. Water Quality and Level of Some Heavy Metals in Water and Sediments of Kpeshie Lagoon, La-Accra, Ghana. Journal of Environment and Earth Science, 3, 487-497. Aderinola, O.J., Clarke, E.O., Olarinmoye, O.M., Kusemiju, V. and Anatekhai, M.A., 2009: Heavy metals in surface water, sediments, fish and perwinkles of Lagos Lagoon: American-Eurasian journal of agricultural & environmental sciences, 5(5), 609-617. Buccolieri A., Buccolieri, G., Cardellicchio, N., Dell Atti, A., Di Leo, A., Maci, A., 2006. Heavy metals in marine sediments of Taranto Gulf (Ionian Sea, Southern Italy). Marine Chemistry 99, 227-235. Carman, C.M.I., Xiang-Dong, L., Gan, Z., Onyx, W.H.W., Yok-Sheung, L., 2007. Trace metal distribution in sediments of the Pearl River Estuary and the surrounding coastal area, South China: Environmental Pollution 147, 311-323. Esslemont G., 2000. Heavy metals in seawater, marine sediments and corals from the Townsville section, Great Barrier Reef Marine Park, Queensland. Marine Chemistry 71(3), 215-231. Glasby, G. P., Schulz, H. D., 1999. Eh, pH Diagrams for Mn, Fe, Co, Ni, Cu and As under Seawater Conditions: Application of Two New Type of Eh, pH Diagrams to the Study of Specific Problems in Marine Geochemistry. Aquatic Geochemistry 5, 227-248. Hedges, J. I., Clark, W. A., Cowie, G. L., 1988: Organic matter sources to the water column and surficial sediments of a marine bay. Limnology and Oceanography 33(5), 1116-1136. Majer A.P., Petti M.A.V., Corbisier T.N., Ribeiro A.P., Theophilo C.Y.S., de Lima Ferreira P.A. and Figueira R.C.L., 2014: Bioaccumulation of potentially toxic trace elements in benthic organisms of Admiralty Bay (King George Island, Antarctica). Marine Pollution Bulletin 79(1), 321-325. Mai Trong Nhuan, 2011: Survey on characteristics of geology, geodynamics, geological resources, geoenvironment and focasting geohazards of East Vietnam Sea from 30-100m water depth, scale 1:500.000. Achieved in Marine Natural Resources - Environment Survey Center. Naser, H.A., 2013: Assessment and management of heavy metal pollution in the marine environment of Arabian Gulf: A review. Marine Pollution Bulletin 72, 6-13. Nguyen Bieu, 1999: Survey on geology and mineral resouces in nearshore East Vietnam Sea (0-30 m water depth), scale 1:500.000. Achieved in Marine Natural Resources - Environment Survey Center. Pham Van Thanh, 2009: Report on environmental geology map of marine sediments of East Vietnam Sea (0-20 m water depth), scale 1:250.000. Project No. KC09.21/06-10. Achieved in Ministry of Science and Technology. Tran Nghi, 2004. Establishing the map of Quaternary formations of East Vietnam Sea and adjacent basin, scale 1:1.000.000. Project No. KC09-23. Achieved in Ministry of Science and Technology. Vu Truong Son, 2004. Environmental geochemistry of neashore sea from Rach Gia-Vung Tau. Doctor disertation on Geology. Achieve in VNU University of Science. Valavanidis, A., Vlachogianni, T., 2010. Metal pollution in ecosystems. Ecotoxicology studies and risk assessment in the marine environment. Sci. Adv. Environ. Toxicol. Ecot. Issues. chem-tox-ecotox. org/wp/wp-content/uploads/2010/01/02-Metals-17_01_2010. pdf [on line]. Vizzini S., Costa V., Tramati C., Gianguzza P., Mazzola A., 2013. Trophic transfer of trace elements in an isotopically constructed food chain from a semi-enclosed marine coastal area (Stagnone di Marsala, Sicily, Mediterranean). Archives of environmental contamination and toxicology 65(4), 642-653. Wang S., Jia Y., Wang S., Wang X., Wang H., Zhao Z., Liu B., 2010. Fractionation of heavy metals in shallow marine sediments from Jinzhou Bay, China. Journal of Environmental Sciences 22(1), 23-31. Canadian Council of Ministers of the Environment (CCME), 2002. Canadian sediment quality guidelines for the protection of aquatic life: Summary tables. Updated. In: Canadian Environmental Quality Guidelines, 1999: Canadian Council of Ministers of the Environment, Winnipeg. Helsinki Commission and Baltic Marine Environment Protection Commission, 2004. Heavy metal pollution to the Baltic sea in 2004. Baltic Sea Environment Proceedings, No. 108. Ministry of Natural Resources and Environment (MONRE), 2008. National technical regulation on coastal water quality - QCVN 10:2008/BTNMT. Ministry of Natural Resources and Environment (MONRE), 2011. Guideline of quantifying and regulation on analytical results of geological and mineral samples. Ministry of Natural Resources and Environment (MONRE), 2012a. National technical regulation on off-shore water quality - QCVN 44:2012/BTNMT. Ministry of Natural Resources and Environment (MONRE), 2012b. National technical regulation on sediment quality - QCVN 43 : 2012/BTNMT. CCOP:http://www.ccop.or.th/ Songthu Corporation: http://www.songthu.com.vn/

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.247
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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