Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Accounting for water levels and black carbon-inclusive sediment-water partitioning of organochlorines in Lesser Himalaya, Pakistan using two-carbon model
AU - Ali, Usman
AU - Sweetman, Andrew James
AU - Jones, Kevin C.
AU - Malik, Riffat Naseem
PY - 2018/9/1
Y1 - 2018/9/1
N2 - This study was designed to monitor organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) in riverine water of Lesser Himalaya along the altitude. Further, the sediment-water partitioning employing organic carbon and black carbon models were assessed. Results revealed higher water levels of organochlorine pesticides (0.07–41.4 ng L−1) and polychlorinated biphenyls (0.671–84.5 ng L−1) in Lesser Himalayan Region (LHR) of Pakistan. Spatially, elevated levels were observed in the altitudinal zone (737–975 masl) which is influenced by anthropogenic and industrial activities. Sediment-water partitioning of OCPs and PCBs were deduced using field data by employing one-carbon (fOCKOC) and two-carbon Freundlich models (fOCKOC + fBCKBCCW nF−1). Results suggested improved measured vs predicted model concentrations when black carbon was induced in the model and suggested adsorption to be the dominant mechanism in phase partitioning of organochlorines in LHR.
AB - This study was designed to monitor organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) in riverine water of Lesser Himalaya along the altitude. Further, the sediment-water partitioning employing organic carbon and black carbon models were assessed. Results revealed higher water levels of organochlorine pesticides (0.07–41.4 ng L−1) and polychlorinated biphenyls (0.671–84.5 ng L−1) in Lesser Himalayan Region (LHR) of Pakistan. Spatially, elevated levels were observed in the altitudinal zone (737–975 masl) which is influenced by anthropogenic and industrial activities. Sediment-water partitioning of OCPs and PCBs were deduced using field data by employing one-carbon (fOCKOC) and two-carbon Freundlich models (fOCKOC + fBCKBCCW nF−1). Results suggested improved measured vs predicted model concentrations when black carbon was induced in the model and suggested adsorption to be the dominant mechanism in phase partitioning of organochlorines in LHR.
KW - Black carbon
KW - Freundlich two-carbon model
KW - Lesser Himalaya
KW - OCPs
KW - PCBs
KW - Sediment-water partitioning
U2 - 10.1007/s11356-018-1940-3
DO - 10.1007/s11356-018-1940-3
M3 - Journal article
C2 - 29916147
AN - SCOPUS:85048655585
VL - 25
SP - 24653
EP - 24667
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
SN - 0944-1344
IS - 25
ER -