Timecourse Study of Coagulation-Flocculation Process Using Aluminum Sulfate

Farasat, Zahra; Panahi, Reza; Mokhtarani, Babak

doi:10.26480/wcm.02.2017.07.09

Cited by 15 publications

(4 citation statements)

References 19 publications

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“…Comprehensive analysis shows that the heavy metal pollution index in the waters of this area is ranked as Pb > Cu > Hg > As > Cd > Zn. The main reason is that the coastal area has a long exchange period with the sea water, the self-purification ability of the sea water is poor, and the coast is mostly plain coast, and the beach is wider [28,29]. The bottom of the beach is mainly sandy and muddy, accounting for more than 70% of the total area of the beach.…”

Section: Discussion On Heavy Metal Pollution In Coastal Watersmentioning

confidence: 99%

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Feng¹,

Niu²

2019

Desalination and Water Treatment

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a b s t r a c tIt has great a subjective influence on the evaluation of major heavy metal pollution factors in coastal waters and sediments by using the traditional Nemerow exponential method, without considering the harmful differences of different heavy metals, and resulting in a low accuracy of the evaluation results. In this paper, a new model to evaluate the major heavy metal pollution factors in coastal waters and sediments is established, to calculate the single pollution index and potential ecological risk index of heavy metals. On this basis, the fuzzy comprehensive evaluation method is used to construct the main heavy metal pollution factor model of coastal waters and sediments. The heavy metal pollution factor is reasonably evaluated and the risk grade of heavy metal pollution factor in coastal waters and sediments is obtained. The results of sampling analysis show that the evaluation results obtained by the model are as follows: the pollution index of heavy metals in the coastal water with the order of Pb > Cu > Hg > As > Cd > Zn; the potential ecological risk index of heavy metals in sediments is Pb > Cu > As > Zn > Hg > Cd. The pollution degree of area C is the highest, area A is the second, and area B is the smallest. The results show that the model can accurately evaluate the main heavy metal pollution factors in coastal waters and sediments.

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Section: Discussion On Heavy Metal Pollution In Coastal Watersmentioning

confidence: 99%

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Feng¹,

Niu²

2019

Desalination and Water Treatment

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“…irrigation duration, both horizontal and vertical salinity increased, while both horizontal and vertical salinity decreased with the increase of distance from emitter [34]. However, the vertical axial salinity decreased faster than the horizontal salinity, and the farther away from the emitter, the greater the difference in salinity and alkali content; under different irrigation rates, the horizontal and vertical salinity and wetting velocity of soil wetting body gradually decreased with the increase of time, and the horizontal salinity-alkali wetting velocity was greater than the vertical salinity-alkali wetting velocity at the beginning [35][36][37][38]. With the increase of time, the vertical and horizontal wetting rates of salinity and alkali gradually approached; with the same irrigation amount at different dripper discharge, the horizontal diffusion radius and vertical infiltration depth of salinity and alkali increased with the increase of discharge, but the horizontal wetting front of salinity and alkali increased faster.…”

Section: Discussionmentioning

confidence: 99%

Saline-alkali migration in soda saline soil based on sub-soiling technology

Yuan¹,

Feng²,

Jang³

et al. 2019

Desalination and Water Treatment

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To study the saline-alkali migration law of soda saline-alkali soils based on sub-soiling technology, improve the soil quality of soda saline-alkali agricultural area, and provide scientific basis for the construction of high and stable yield fields of crops in soda saline-alkali soils. Based on the unsaturated soil water movement theory and the convection-dispersion theory of solute transport in porous media, a single-parameter and two-parameter model of saline-alkali transport was constructed to analyze the distribution of saline-alkali concentration in soil solution with the depth of soil layer. Soil samples were taken from four soda saline-alkali soils in different periods under sub-soiling tillage. The experimental data of soil saline-alkali content were obtained, and the law of saline-alkali migration was analyzed. When the depth was 60 cm, the content of saline-alkali in the soil before breaking the plough bottom was 0.4%, and the content of saline-alkali was 0.35% after breaking the plough bottom with sub-soiling technique. It can be seen that sub-soiling technique can promote saline-alkali infiltration and reduce the content of saline-alkali in the planting soil layer. The average water content of the sub-soiled soil was 23.4%, which was significantly higher than that of the subsoiled soil. The soil salinity and alkali content in 100 cm depth layer decreased by 30.8%, and that in 40 cm depth layer decreased by 57%. The salinity and alkali data in different regions showed that the soil salinity and alkali content in the soil decreased by 30.8%. Saline-alkali data from different regions show that due to sub-soiling, salt-alkali in the soil moves upward, salt-alkali in the lower part of crop roots moves outward, and salt-alkali in the soil moves away from the crop root zone; between 0 and 50 cm under the soil, the content of soil salt and alkali is from small to large, forming a desalination area of saline and alkali content; sub-soiling tillage makes 0-30 cm layer soil desalinization rate reach 83.5%, the soil salt removal rate of 0-60 cm layer reached 79.9%; The effect of sub-soiling on soil salinity is less than 1.634% of the initial value. Conclusion: sub-soiling technology can effectively reduce saline alkali content and increase crop yield in soda saline alkali soil.

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“…It remains within the pH range set by the MOH, which is 6.5 -9.0. Therefore, no pH adjustments are necessary, as the dataset consistently and stably indicates values within the permissible range [9].…”

Section: Phmentioning

confidence: 95%

Performance evaluation of the compact water treatment system pilot project at Timah Tasoh Water Treatment Plant, Perlis, Malaysia

Rafiqah,

Azner,

Haqi

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Clean water is crucial to ensuring the well-being of people. The Package Timah Tasoh Water Treatment Plant (WTP) is designed to support the existing conventional plant in coping with the growing demand for clean water. The package plant used the Compact Water Treatment System, classified as a Category B in the Suruhanjaya Perkhidmatan Air Negara (SPAN) guidelines; thus, this performance monitoring research was conducted prior to product registration. The plant consists of aeration, flocculation, clarification, and filtration processes. The performance of this package plant was monitored through comparative and efficiency analysis of removal parameters and carried out over a period of six (6) months. Twelve (12) water quality parameters were selected, including turbidity, pH, total dissolved solids (TDS), colour, ammonia, residual chlorine, aluminium, iron (Fe), manganese (Mn), fluoride, standard total coliform, and E. coli with sampling water of RW, SW, FW, and TW, which was then assessed alongside the drinking water quality standards set by Ministry of Health (MOH). As a result, eight key parameters such as pH, turbidity, colour, TDS, iron, aluminium, manganese, and ammonia were meeting the MOH drinking water quality standards in over 94 % of cases. The remaining parameters are chlorine residual, fluoride, E. coli and standard total coliform were in non-compliance due to the inoperability of disinfection and fluoridisation processes. Most of the significant parameters deduced a better performance in terms of removal efficiency (> 60 %) consistently, except for TDS, throughout the monitoring activity.

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Timecourse Study of Coagulation-Flocculation Process Using Aluminum Sulfate

Cited by 15 publications

References 19 publications

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Saline-alkali migration in soda saline soil based on sub-soiling technology

Performance evaluation of the compact water treatment system pilot project at Timah Tasoh Water Treatment Plant, Perlis, Malaysia

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