ORCID Profile
0000-0002-4726-5140
Current Organisation
University of Karachi
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Publisher: ALOKI Ltd
Date: 2018
Publisher: Elsevier BV
Date: 05-2018
DOI: 10.1016/J.CHEMOSPHERE.2018.02.002
Abstract: In this study, we tested 123 groundwater wells from five different areas of Punjab, Pakistan for arsenic (As) contamination level and species, as well as delineated hydrogeochemical behaviour of As in aquifers. Results revealed that 75% and 41% of the groundwater wells exceeded the safe As limit of World Health Organisation (WHO, 10 μg L
Publisher: Elsevier BV
Date: 04-2018
DOI: 10.1016/J.SCITOTENV.2017.10.063
Abstract: In this study, we examined the sorption of arsenite (As(III)) and arsenate (As(V)) to Japanese oak wood-derived biochar (OW-BC) in aqueous solutions, and determined its efficiency to remove As from As-contaminated well water. Results revealed that, among the four sorption isotherm models, Langmuir model showed the best fit to describe As(III) and As(V) sorption on OW-BC, with slightly greater sorption affinity for As(V) compared to As(III) (Q
Publisher: Springer Science and Business Media LLC
Date: 02-04-2021
Publisher: Springer International Publishing
Date: 2016
Publisher: MDPI AG
Date: 17-04-2023
Publisher: MDPI AG
Date: 29-07-2019
DOI: 10.3390/F10080640
Abstract: The Kyoto Protocol includes agroforestry practices as a suggested approach for mitigating global atmospheric CO2. Agroforestry systems are a desirable option for mitigating atmospheric CO2, as they provide numerous secondary benefits, including food, fodder, fuel, increased farm income, bio ersity maintenance, and soil conservation. This research was planned to assess the current carbon storage status and future potential of agroforestry systems in Pakistan through a nondestructive approach (allometric equations) in 14 sub isions (tehsils) of three selected districts located in the irrigated plains of Punjab, Pakistan. A total of 1750 plots of 0.405 ha each were selected in a randomized, unbiased s ling to estimate the total number of trees, tree species ersity, diameters at breast height (DBHs), and tree heights. Soil carbon was also measured at 0–30 cm using the Walkley–Black method in a subset of plots. It was found that the current number of trees in farms in the study area varied from 18 to 51 trees/ha, which can be increased to 42–83 trees/ha if all the farmers plant the maximum permissible number of trees along with their crops. The estimated total tree carbon stock ranged from 0.0003 to 8.79 Mgha−1, with the smallest mean value of 0.39 Mgha−1 for tehsil Faisalabad, and the largest mean value of 1.41 Mgha−1 for tehsil Chiniot. The whole study area had an estimated woody vegetation carbon stock of 950,470 Mg and a soil carbon stock of 22,743,008 Mg. If farmers in the study area all increased tree stocking to their average maximum desired stocking, the total tree carbon stock would more than double to 2,497,261 Mg. These results highlight both the current and potential carbon sequestration potential of agroforestry in Pakistan and can be further used in devising strategies for implementing tree planting programs on agricultural lands and designing future carbon sequestration projects in Pakistan.
Publisher: Elsevier
Date: 2016
Publisher: Springer Science and Business Media LLC
Date: 21-04-2016
Publisher: Pakistan Journal of Botany
Date: 15-03-2020
Publisher: Elsevier BV
Date: 02-2019
DOI: 10.1016/J.ENVINT.2018.12.049
Abstract: Globally, contamination of groundwater with toxic arsenic (As) is an environmental and public health issue given to its carcinogenic properties, thereby threatening millions of people relying on drinking As-contaminated well water. Here, we explored the efficiency of various biosorbents (egg shell, java plum seed, water chestnut shell, corn cob, tea waste and pomegranate peel) for arsenate (As(V)) and arsenite (As(III)) removal from As-contaminated water. Significantly, egg shell and java plum seed displayed the greatest As(III) elimination (78-87%) at 7 pH followed by water chestnut shell (75%), corn cob (67%), tea waste (74%) and pomegranate peel (65%). In contrast, 71% and 67% of As(V) was removed at pH 4.1 and 5.3 by egg shell and java plum seed, respectively. The maximum As(V) and As(III) sorption by all the biosorbents was obtained, notably for egg shell and java plum seed, after 2 h contact time. Langmuir isotherm and pseudo-second order models best fitted the sorption data for both forms of As. The -OH, -COOH, -NH
No related grants have been discovered for Muhammad Farrakh Nawaz.