Residual Status and Air-Soil Exchange Fluxes of Persistent Organic Pollutants in the Environment of Punjab Province, Pakistan
Bibliographic record
Abstract
Contamination of different environmental compartments through persistent organic pollutants (POPs) is one of the most impending threats globally. The present study aims to investigate the first systematic data on the levels, distribution, possible sources and air-soil exchange fluxes of persistent organic pollutants (POPs) including organochlorine pesticide (OCPs), polychlorinated biphenyl (PCBs), polybrominated diphenyl ether (PBDEs) and dechloran plus (DP) in the air, surface soil and sediment samples from agricultural and industrial areas of Punjab Province, Pakistan. The present study was conducted in the catchment area of River Ravi from Punjab Province which is the most populated province of Pakistan with a population >90 millions; approximately 56 % of the total population of the country. Surface soils and air samples were taken from ten (10) sampling stations in Punjab Province, while seven (7) sampling stations were selected on the River Ravi to collect surface sediments. Air concentrations of POPs were estimated by using the polyurethane foam passive air sampling (PUF-PAS) technique. Air–soil exchange of POPs was estimated by calculating the fugacities in soil and air samples. Concentrations of OOCPs and OPCBs were ranged from 121-705 pg m-3 and 35-389 pg m-3 for air samples, 24.6-248 ng g-1 and 6.7-45 ng g-1 for soils and 2.7 to 99 ng g-1 and 4.6 to 424 ng g-1 for sediments, respectively. DDTs and HCHs were dominant OCPs in all air, soils and sediments while among PCBs, tri-, tetra- and penta-CBs was frequently detected homologues. Comparison of OCPs and PCBs concentrations with available sediment guidelines indicated severe contamination of DDTs and PCBs in the study area. Different indicative ratios for organochlorine residues in both soils and sediments suggested current use, long range transport along with past application of these chemicals to the total burden. WHO-TEQ values of dioxin like O10PCBs for soil samples obtained were very high and met the limitations, recommended by the Canadian Council of Ministers of the Environment (CCME). Levels of OPBDEs and DPs ranged from 8.2-124.7 and 1.5-529 pg m-3 for air, 0.6-501 and 0.1-15 ng g-1 for soil and 1.0-2599 and 0.3-4.7 ng g-1 for sediment samples, respectively. BDE-209 was the most abundant PBDE congener, indicating that deca-BDE accounts for most of the total PBDE emitted in the environment of the Punjab Province. The lower average fractions of anti-DP showed significant differences to those of the technical mixtures, indicating lack of DP production source in Pakistan. In general, POPs level in the current study were found lower and/or within the range of other studies reported throughout the world. Conversely, OCPs and PCBs concentrations in riverine sediments were found much higher than previously reported in Pakistan. Air–soil exchange of POPs was estimated by calculating the fugacities in soil and air samples. In the present study, fugacity fractions (ff) values suggested that soils are acting as a secondary source of DDTs to contaminate the atmosphere at certain sampling stations while other areas showed equilibrium and/or atmospheric deposition status. By our results, it is concluded that globally banned organic pollutants are still used/emitted in the catchment area of River Ravi. Our findings also drew attention that elevated levels of DDTs, HCHs, PCBs (tri- and tetra-), and BDE-209 in the study area must be considered as an important environmental issue and steps should be taken to control excessive discharge of organic pollutants in the local environment.The current study also encouraged to conduct more detailed studies to evaluate the ecotoxicological effects of these contaminants in the environment of Pakistan.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".