This page has only limited features, please log in for full access.

Unclaimed
Siddique Abbasi
Centre for Pollution Control and Environmental Engineering, Pondicherry University, Puducherry, India

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Review article
Published: 31 March 2021 in Tropical Ecology
Reads 0
Downloads 0

Given that wetlands, especially man-made wetlands including paddy fields, are a major source of the greenhouse gases methane and nitrous oxide, a study of the present status of knowledge in this area was carried out with reference to India. Based on printed material, digital repositories, and personal correspondence an up-to-date assessment of all studies reported so far has been conducted. It is shown that despite India having 4.6% of its area covered by natural or man-made wetlands, being home to a very large number of wetlands, and being the second largest cultivator of paddy in the world, its wetlands—including paddy fields which are intermittently flooded as typical wetlands are—have been very poorly studied in terms of their GHG emissions. Even the reports that are available have been mostly confined to a few regions of India, and as many as seven of the most wetland-rich states—Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Maharashtra, Himachal Pradesh, and Jammu & Kashmir—have not been studied in this respect at all. A major finding is that, contrary to a recent report published by authors based in USA, intermittently irrigated rice fields have not been found to emit exceptionally high quantities of nitrous oxide. The study brings out the urgent need for carrying out assessments of GHG emissions from wetlands throughout India with a view to finding strategies to minimize such emissions.

ACS Style

S. A. Abbasi; C. Dhanuja; Tasneem Abbasi. Emission of greenhouse gases from Indian wetlands: an overview. Tropical Ecology 2021, 62, 319 -328.

AMA Style

S. A. Abbasi, C. Dhanuja, Tasneem Abbasi. Emission of greenhouse gases from Indian wetlands: an overview. Tropical Ecology. 2021; 62 (3):319-328.

Chicago/Turabian Style

S. A. Abbasi; C. Dhanuja; Tasneem Abbasi. 2021. "Emission of greenhouse gases from Indian wetlands: an overview." Tropical Ecology 62, no. 3: 319-328.

Correction
Published: 09 March 2020 in Water
Reads 0
Downloads 0

The authors wish to make the following corrections to this paper

ACS Style

Tabassum Abbasi; Tasneem Abbasi; Chirchom Luithui; S. A. Abbasi. Correction: Tabassum Abbasi et al., Modelling Methane and Nitrous Oxide Emissions from Rice Paddy Wetlands in India Using Artificial Neural Networks (ANNs). Water 2019, 11, 2169. Water 2020, 12, 751 .

AMA Style

Tabassum Abbasi, Tasneem Abbasi, Chirchom Luithui, S. A. Abbasi. Correction: Tabassum Abbasi et al., Modelling Methane and Nitrous Oxide Emissions from Rice Paddy Wetlands in India Using Artificial Neural Networks (ANNs). Water 2019, 11, 2169. Water. 2020; 12 (3):751.

Chicago/Turabian Style

Tabassum Abbasi; Tasneem Abbasi; Chirchom Luithui; S. A. Abbasi. 2020. "Correction: Tabassum Abbasi et al., Modelling Methane and Nitrous Oxide Emissions from Rice Paddy Wetlands in India Using Artificial Neural Networks (ANNs). Water 2019, 11, 2169." Water 12, no. 3: 751.

Journal article
Published: 02 January 2020 in Water
Reads 0
Downloads 0

In view of the great paucity of information on the exact contributions of different causes which lead to different extents of emission of the greenhouse gas methane (CH4) form reservoirs, it is tremendously challenging to develop statistical or analytical models for forecasting such emissions. Artificial neural networks (ANNs) have the ability to discern linear or non-linear relationships despite very limited data inputs and can recognize even complex patterns in a data set without a priori understating of the underlying mechanism. Hence, we have used ANNs to develop a model linking CH4 emissions to five of the reservoir parameters about which data is most commonly available in the prior art. Using a compendium of all available data on these parameters, of which a small part was kept aside for use in model validation, it has been possible to develop a model which is able to forecast CH4 emissions with a root mean square error of 37. It indicates a precision significantly better than the ones achieved in previous reports. The model provides a means to estimate CH4 emissions from reservoirs of which age, mean depth, surface area, latitude and longitude are known.

ACS Style

Tabassum- Abbasi; Tasneem Abbasi; Chirchom Luithui; S. A. Abbasi. A Model to Forecast Methane Emissions from Topical and Subtropical Reservoirs on the Basis of Artificial Neural Networks. Water 2020, 12, 145 .

AMA Style

Tabassum- Abbasi, Tasneem Abbasi, Chirchom Luithui, S. A. Abbasi. A Model to Forecast Methane Emissions from Topical and Subtropical Reservoirs on the Basis of Artificial Neural Networks. Water. 2020; 12 (1):145.

Chicago/Turabian Style

Tabassum- Abbasi; Tasneem Abbasi; Chirchom Luithui; S. A. Abbasi. 2020. "A Model to Forecast Methane Emissions from Topical and Subtropical Reservoirs on the Basis of Artificial Neural Networks." Water 12, no. 1: 145.

Journal article
Published: 18 October 2019 in Water
Reads 0
Downloads 0

Paddy fields, which are shallow man-made wetlands, are estimated to be responsible for ~11% of the total methane emissions attributed to anthropogenic sources. The role of water use in driving these emissions, and the apportioning of the emissions to individual countries engaged in paddy cultivation, are aspects that have been mired in controversy and disagreement. This is largely due to the fact that methane (CH4) emissions not only change with the cultivar type but also regions, climate, soil type, soil conditions, manner of irrigation, type and quantity of fertilizer added—to name a few. The factors which can influence these aspects also encompass a wide range, and have origins in causes which can be physical, chemical, biological, and combinations of these. Exceedingly complex feedback mechanisms, exerting different magnitudes and types of influences on CH4 emissions under different conditions, are operative. Similar is the case of nitrous oxide (N2O); indeed, the present level of understanding of the factors which influence the quantum of its emission is still more patchy. This makes it difficult to even understand precisely the role of the myriad factors, less so model them. The challenge is made even more daunting by the fact that accurate and precise data on most of these aspects is lacking. This makes it nearly impossible to develop analytical models linking causes with effects vis a vis CH4 and N2O emissions from paddy fields. For situations like this the bioinspired artificial intelligence technique of artificial neural network (ANN), which can model a phenomenon on the basis of past data and without the explicit understanding of the mechanism phenomena, may prove useful. However, no such model for CH4 or N2O has been developed so far. Hence the present work was undertaken. It describes ANN-based models developed by us to predict CH4 and N2O emissions using soil characteristics, fertilizer inputs, and rice cultivar yield as inputs. Upon testing the predictive ability of the models with sets of data not used in model development, it was seen that there was excellent agreement between model forecasts and experimental findings, leading to correlations coefficients of 0.991 and 0.96, and root mean square error (RMSE) of 11.17 and 261.3, respectively, for CH4 and N2O emissions. Thus, the models can be used to estimate CH4 and N2O emissions from all those continuously flooded paddy wetlands for which data on total organic carbon, soil electrical conductivity, applied nitrogen, phosphorous and potassium, NPK, and grain yield is available.

ACS Style

Tabassum Abbasi; Tasneem Abbasi; Chirchom Luithui; Shahid Abbas Abbasi. Modelling Methane and Nitrous Oxide Emissions from Rice Paddy Wetlands in India Using Artificial Neural Networks (ANNs). Water 2019, 11, 2169 .

AMA Style

Tabassum Abbasi, Tasneem Abbasi, Chirchom Luithui, Shahid Abbas Abbasi. Modelling Methane and Nitrous Oxide Emissions from Rice Paddy Wetlands in India Using Artificial Neural Networks (ANNs). Water. 2019; 11 (10):2169.

Chicago/Turabian Style

Tabassum Abbasi; Tasneem Abbasi; Chirchom Luithui; Shahid Abbas Abbasi. 2019. "Modelling Methane and Nitrous Oxide Emissions from Rice Paddy Wetlands in India Using Artificial Neural Networks (ANNs)." Water 11, no. 10: 2169.

Journal article
Published: 07 August 2019 in International Journal of System Assurance Engineering and Management
Reads 0
Downloads 0

A large number of highly flammable and/or toxic substances are stored in huge quantities in chemical process industries throughout the world. In the past, when such hazardous facilities have met with a major accident, the resulting explosions/fires or toxic releases have led to massive losses of lives and of property worth billions of rupees. This has, in turn, given rise to risk perception vis a vis the probability of the likely accidents and extents of their impacts that may occur in similar installations. If this risk can be quantified and ways found to reduce the risk, it can help in reducing the occurrence such an accidents as also tell us the measures needed to cushion the impact when a major accident does take place. This paper identifies the risks associated with facilities storing hazardous substances and provides a template for conducting quantitative risk assessment of such facilities.

ACS Style

Arafat Basheer; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. A template for quantitative risk assessment of facilities storing hazardous chemicals. International Journal of System Assurance Engineering and Management 2019, 10, 1158 -1172.

AMA Style

Arafat Basheer, S. M. Tauseef, Tasneem Abbasi, S. A. Abbasi. A template for quantitative risk assessment of facilities storing hazardous chemicals. International Journal of System Assurance Engineering and Management. 2019; 10 (5):1158-1172.

Chicago/Turabian Style

Arafat Basheer; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. 2019. "A template for quantitative risk assessment of facilities storing hazardous chemicals." International Journal of System Assurance Engineering and Management 10, no. 5: 1158-1172.

Journal article
Published: 03 December 2018 in International Journal of Entomological Research
Reads 0
Downloads 0

Hypotermes obscuriceps is the most abundant of termite species found in North-eastern Puducherry. It has been seen to assimilate ligninous waste kept for degradation in the termireactors designed earlier by the authors by the process of termigradation. Termigradation is a termite-based biodegradation process and involves attracting termites towards the ligninous waste in specially designed reactors. Such reactors are kept in pits or aboveground near termite mounds. In order to increase the number of termites that will move towards the feed kept in such termireactors, 2-Phenoxyethanol (2-PE) was explored in the laboratory for making trails that may attract H. obscuriceps. Five different concentrations of 2-PE, ranging from 0.1 to 0.0005% were explored and in controlled experiments, the numbers of termites that followed the trails made by these levels of 2-PE as a function of time were determined. It was seen that all the trails that contained 2-PE attracted H. obscuriceps and none was toxic to termites for the first 60 minutes.

ACS Style

Gurjeet T. Kaur; Anantharaju S. Gajalakshmi; S. A. Abbasi. Lab studies on trail following behavior of the termite Hypotermes obscuriceps towards 2-Phenoxyethanol. International Journal of Entomological Research 2018, 6, 49 -61.

AMA Style

Gurjeet T. Kaur, Anantharaju S. Gajalakshmi, S. A. Abbasi. Lab studies on trail following behavior of the termite Hypotermes obscuriceps towards 2-Phenoxyethanol. International Journal of Entomological Research. 2018; 6 (2):49-61.

Chicago/Turabian Style

Gurjeet T. Kaur; Anantharaju S. Gajalakshmi; S. A. Abbasi. 2018. "Lab studies on trail following behavior of the termite Hypotermes obscuriceps towards 2-Phenoxyethanol." International Journal of Entomological Research 6, no. 2: 49-61.

Journal article
Published: 19 November 2018 in Energy, Sustainability and Society
Reads 0
Downloads 0
ACS Style

S A Abbasi. The myth and the reality of energy recovery from municipal solid waste. Energy, Sustainability and Society 2018, 8, 1 .

AMA Style

S A Abbasi. The myth and the reality of energy recovery from municipal solid waste. Energy, Sustainability and Society. 2018; 8 (1):1.

Chicago/Turabian Style

S A Abbasi. 2018. "The myth and the reality of energy recovery from municipal solid waste." Energy, Sustainability and Society 8, no. 1: 1.

Original manuscript
Published: 04 October 2018 in Environmental Progress & Sustainable Energy
Reads 0
Downloads 0

In arguably the first‐ever study of its kind, a common terrestrial weed, Achyranthes aspera, has been used to treat greywater (domestic sewage) of wide‐ranging strength. The weed was used in the novel SHEFROL® (SHEet Flow ROot Level) bioreactor earlier developed by the authors, of which a patent claim has been registered. Without the use of soil or any other anchor, and at very brisk rate reflected in low hydraulic retention times of just 4–6 h, A. aspera was able to achieve substantial secondary treatment and significant primary and tertiary treatments of the greywater in a clean and inexpensive fashion. Biological and chemical oxygen demands were removed to the extents of about 81 and 84%, respectively, suspended solids to the extent of 96%, and nitrogen, phosphorous, and heavy metals, to the extent of 28–41%. © 2018 American Institute of Chemical Engineers Environ Prog, 2018

ACS Style

S.A. Abbasi; S.M. Tauseef. Rapid treatment of greywater (household sewage) by terrestrial weedAchyranthes asperain SHEFROL® reactors. Environmental Progress & Sustainable Energy 2018, 38, 467 -476.

AMA Style

S.A. Abbasi, S.M. Tauseef. Rapid treatment of greywater (household sewage) by terrestrial weedAchyranthes asperain SHEFROL® reactors. Environmental Progress & Sustainable Energy. 2018; 38 (2):467-476.

Chicago/Turabian Style

S.A. Abbasi; S.M. Tauseef. 2018. "Rapid treatment of greywater (household sewage) by terrestrial weedAchyranthes asperain SHEFROL® reactors." Environmental Progress & Sustainable Energy 38, no. 2: 467-476.

Full length original research paper
Published: 15 August 2018 in Water and Environment Journal
Reads 0
Downloads 0

In a first report of its kind, it is shown that the weed Eclipta prostrata is able to treat sewage rapidly and effectively when used in the novel sheet‐flow‐root‐level (SHEFROL®) bioreactor developed earlier by the authors. Besides extensive primary and secondary treatment in terms of removal of suspended solids, chemical oxygen demand and biological oxygen demand, E. prostrata was also able to substantially remove the excess nutrients which cause eutrophication (nitrogen and phosphorous) and the heavy metals copper, nickel and manganese. In this manner extensive secondary treatment was achieved along with significant primary and tertiary treatment. Equally significantly it was all accomplished in a single step and at hydraulic retention times (HRTs) of 6 h or less. The system promises to be highly inexpensive and efficient in treating sewage.

ACS Style

Shahid Abbas Abbasi; Syed Mohammad Tauseef. A system for rapid and inexpensive treatment of sewage using the weedEclipta prostratain SHEFROL®bioreactor. Water and Environment Journal 2018, 32, 573 -584.

AMA Style

Shahid Abbas Abbasi, Syed Mohammad Tauseef. A system for rapid and inexpensive treatment of sewage using the weedEclipta prostratain SHEFROL®bioreactor. Water and Environment Journal. 2018; 32 (4):573-584.

Chicago/Turabian Style

Shahid Abbas Abbasi; Syed Mohammad Tauseef. 2018. "A system for rapid and inexpensive treatment of sewage using the weedEclipta prostratain SHEFROL®bioreactor." Water and Environment Journal 32, no. 4: 573-584.

Correction
Published: 09 August 2018 in Journal of Failure Analysis and Prevention
Reads 0
Downloads 0

In the original version of this article, Vipin’s name was incorrect. It is correct as reflected here. The original article has also been corrected.

ACS Style

Vipin; S. K. Pandey; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. Correction to: Pool Fires in Chemical Process Industries: Occurrence, Mechanism, Management. Journal of Failure Analysis and Prevention 2018, 18, 1320 -1320.

AMA Style

Vipin, S. K. Pandey, S. M. Tauseef, Tasneem Abbasi, S. A. Abbasi. Correction to: Pool Fires in Chemical Process Industries: Occurrence, Mechanism, Management. Journal of Failure Analysis and Prevention. 2018; 18 (5):1320-1320.

Chicago/Turabian Style

Vipin; S. K. Pandey; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. 2018. "Correction to: Pool Fires in Chemical Process Industries: Occurrence, Mechanism, Management." Journal of Failure Analysis and Prevention 18, no. 5: 1320-1320.

Technical article peer reviewed
Published: 27 July 2018 in Journal of Failure Analysis and Prevention
Reads 0
Downloads 0

A pool or a pile of a flammable substance catching fire—which is termed a ‘pool fire’—is among the most common of fire-related accidents. In chemical process industries (CPI) in particular, pool fires are the most frequent of all possible types of accidents. Pool fires are also, more often than not, the triggers of larger fires, explosions and/or toxic releases in CPI. As demonstrated in this paper, most of the catastrophic accidents that have occurred in CPI have begun with a pool fire, which has then led to other fires and/or explosions, compounding the initial accident many times over. In day-to-day life also, as also in forest fires, major fire accidents begin with a small pool fire. Due to these reasons an understanding of factors which influence pool fires, and the associated mechanisms, is essential for devising strategies to control and mitigate pool fires. This review, which is specific to pool fires occurring in CPI, recounts illustrative case studies of some major pool fire accidents, performs a past accident analysis and describes pool fire mechanism, modeling and control.

ACS Style

Kumar Vipin; S. K. Pandey; Syed Mohammad Tauseef; Tasneem Abbasi; S. A. Abbasi. Pool Fires in Chemical Process Industries: Occurrence, Mechanism, Management. Journal of Failure Analysis and Prevention 2018, 18, 1224 -1261.

AMA Style

Kumar Vipin, S. K. Pandey, Syed Mohammad Tauseef, Tasneem Abbasi, S. A. Abbasi. Pool Fires in Chemical Process Industries: Occurrence, Mechanism, Management. Journal of Failure Analysis and Prevention. 2018; 18 (5):1224-1261.

Chicago/Turabian Style

Kumar Vipin; S. K. Pandey; Syed Mohammad Tauseef; Tasneem Abbasi; S. A. Abbasi. 2018. "Pool Fires in Chemical Process Industries: Occurrence, Mechanism, Management." Journal of Failure Analysis and Prevention 18, no. 5: 1224-1261.

Review
Published: 16 April 2018 in Sustainability
Reads 0
Downloads 0

Vermicomposting is a process in which earthworms are utilized to convert biodegradable organic waste into humus-like vermicast. Past work, mainly on vermicomposting of animal droppings, has shown that vermicompost is an excellent organic fertilizer and is also imbibed with pest-repellent properties. However, there is no clarity whether vermicomposts of organic wastes other than animal droppings are as plant-friendly as the manure-based vermicomposts are believed to be. It is also not clear as to whether the action of a vermicompost as a fertilizer depends on the species of plants being fertilized by it. This raises questions whether vermicomposts are beneficial (or harmful) at all levels of application or if there is a duality in their action which is a function of their rate of application. The present work is an attempt to seek answers to these questions. To that end, all hitherto published reports on the action of vermicomposts of different substrates on different species of plants have been assessed. The study reveals that, in general, vermicomposts of all animal/plant based organic wastes are highly potent fertilizers. They also possess some ability to repel plant pests. The factors that shape these properties have been assessed and the knowledge gaps that need to be bridged have been identified.

ACS Style

Naseer Hussain; Shahid Abbasi. Efficacy of the Vermicomposts of Different Organic Wastes as “Clean” Fertilizers: State-of-the-Art. Sustainability 2018, 10, 1205 .

AMA Style

Naseer Hussain, Shahid Abbasi. Efficacy of the Vermicomposts of Different Organic Wastes as “Clean” Fertilizers: State-of-the-Art. Sustainability. 2018; 10 (4):1205.

Chicago/Turabian Style

Naseer Hussain; Shahid Abbasi. 2018. "Efficacy of the Vermicomposts of Different Organic Wastes as “Clean” Fertilizers: State-of-the-Art." Sustainability 10, no. 4: 1205.

Article
Published: 29 March 2018 in Water, Air, & Soil Pollution
Reads 0
Downloads 0

We report for the first time the capability of four-leaf clover (Marsilea quadrifolia), a wetland plant which grows rooted in soil, in efficiently treating sewage. The use of M. quadrifolia was made possible because of the special attributes of the SHEFROL® (SHEet Flow ROot Level) bioreactor in which it was employed. This bioreactor enables the use of free-floating aquatic plants as well as terrestrial and rooted-in-soil wetland plants by hydroponics. The plants are staked in narrow channels to enable them to support each other while sewage is made to flow rapidly as a sheet of wastewater at a level that covers only the plant roots (hence the name). It was seen that M. quadrifolia was able to treat sewage of strength varying in the chemical oxygen demand (COD) range of 600–1800 mg/L to the extent of > 80% at a hydraulic retention time (HRT) of just 4.5 h. There was a near total removal of biological oxygen demand and suspended solids while total Kjeldahl nitrogen, soluble phosphorous, and heavy metal zinc were also substantially removed. The macrophyte was equally effective when used indoors under artificial lighting, as well as when used outdoors.

ACS Style

S. A. Abbasi; G. Ponni; S. M. Tauseef. Marsilea quadrifolia: a New Bioagent for Treating Wastewater. Water, Air, & Soil Pollution 2018, 229, 133 .

AMA Style

S. A. Abbasi, G. Ponni, S. M. Tauseef. Marsilea quadrifolia: a New Bioagent for Treating Wastewater. Water, Air, & Soil Pollution. 2018; 229 (4):133.

Chicago/Turabian Style

S. A. Abbasi; G. Ponni; S. M. Tauseef. 2018. "Marsilea quadrifolia: a New Bioagent for Treating Wastewater." Water, Air, & Soil Pollution 229, no. 4: 133.

Journal article
Published: 01 March 2018 in Journal of Loss Prevention in the Process Industries
Reads 0
Downloads 0

The existing methods for calculating overpressure resulting from a vapor cloud explosion (VCE) were tested for their ability to predict overpressures from unconfined hydrogen explosions. For it, data collated from five reported experimental investigations on open air hydrogen explosions covering 1.4–300 m3 volume of hydrogen-air mixtures and concentrations ranging 20–57% were employed. It was found that the existing VCE models are grossly inadequate for predicting the overpressure generated by unconfined hydrogen explosions. A new method was then developed for assessing overpressures from hydrogen explosions for a given concentration and volume of release based on Sach's scaling laws. The new model has much greater ability to fit the experimental data, hence much stronger ability to forecast the severity and consequences of hydrogen-based VCEs compared to the existing models.

ACS Style

Euginia Diana Mukhim; Tasneem Abbasi; S.M. Tauseef; S.A. Abbasi. A method for the estimation of overpressure generated by open air hydrogen explosions. Journal of Loss Prevention in the Process Industries 2018, 52, 99 -107.

AMA Style

Euginia Diana Mukhim, Tasneem Abbasi, S.M. Tauseef, S.A. Abbasi. A method for the estimation of overpressure generated by open air hydrogen explosions. Journal of Loss Prevention in the Process Industries. 2018; 52 ():99-107.

Chicago/Turabian Style

Euginia Diana Mukhim; Tasneem Abbasi; S.M. Tauseef; S.A. Abbasi. 2018. "A method for the estimation of overpressure generated by open air hydrogen explosions." Journal of Loss Prevention in the Process Industries 52, no. : 99-107.

Journal article
Published: 28 February 2018 in Water Science and Technology
Reads 0
Downloads 0

The ornamental plant Alternanthera ficoidea (also named A. tenella), which is common and widespread throughout the tropics and is being increasingly regarded as an invasive, problematic weed, has been explored as a bioagent in greywater treatment. In the recently developed SHEFROL® bioreactor, it was seen to treat greywater of varying strengths (250–1,300 mg/L chemical oxygen demand, COD) quickly and substantially to the extent of 75–77%. Biological oxygen demand (BOD), nitrogen, phosphorus, suspended solids, and heavy metals copper, nickel, manganese, and zinc were also removed to the extents of 83.5, 94.9, 33.1, 27.0, 44.8, 27.5, 38.2, and 43.2%, respectively. As all this was achieved in a single pot, single step, and in a simple reactor operation, at hydraulic retention times of a mere 6 h, it shows the process to be several times more efficient as well as potentially less expensive than the conventional treatment systems which utilize macrophytes in tanks or constructed wetlands.

ACS Style

S. A. Abbasi; Syed Mohammad Tauseef. Use of the terrestrial weed Alternanthera ficoidea in treating greywater in soil-less SHEFROL® bioreactors. Water Science and Technology 2018, 77, 2005 -2013.

AMA Style

S. A. Abbasi, Syed Mohammad Tauseef. Use of the terrestrial weed Alternanthera ficoidea in treating greywater in soil-less SHEFROL® bioreactors. Water Science and Technology. 2018; 77 (8):2005-2013.

Chicago/Turabian Style

S. A. Abbasi; Syed Mohammad Tauseef. 2018. "Use of the terrestrial weed Alternanthera ficoidea in treating greywater in soil-less SHEFROL® bioreactors." Water Science and Technology 77, no. 8: 2005-2013.

Technical article peer reviewed
Published: 26 February 2018 in Journal of Failure Analysis and Prevention
Reads 0
Downloads 0

Most accidents in chemical process industry, as well as a large number of fires in general, are triggered by accidental spilling of flammable liquids. Such spills either get auto-ignited or are set on fire by one or the other ignition source. If other flammable material happens to catch fire before the initial fire is extinguished, the accident gets escalated. In many situations, the escalation is catastrophic, resulting in very large fires, with or without explosions. This paper assesses the transient models developed so far to predict the areas covered by accidental fuel spills.

ACS Style

S. Raja; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. Risk of Fuel Spills and the Transient Models of Spill Area Forecasting. Journal of Failure Analysis and Prevention 2018, 18, 445 -455.

AMA Style

S. Raja, S. M. Tauseef, Tasneem Abbasi, S. A. Abbasi. Risk of Fuel Spills and the Transient Models of Spill Area Forecasting. Journal of Failure Analysis and Prevention. 2018; 18 (2):445-455.

Chicago/Turabian Style

S. Raja; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. 2018. "Risk of Fuel Spills and the Transient Models of Spill Area Forecasting." Journal of Failure Analysis and Prevention 18, no. 2: 445-455.

Technical article peer reviewed
Published: 12 January 2018 in Journal of Failure Analysis and Prevention
Reads 0
Downloads 0

A new method, RIsk and DIstance Minimization in Process Units Siting (RIDIMPUS), is presented with which hazardous units can be sited in a chemical process facility in a manner that the risk of accidents involving the hazardous units as also the cost of spacing the units is minimized. To achieve this, safety and cost factors were modeled using various governing parameters and then expressions were designed to integrate the safety and the economic concerns to form model equations, inequalities and disjunctions. The resulting nonlinear programming model is solvable by using algorithms and solvers on any common desktop computer, thereby providing an optimal and prompt solution.

ACS Style

Arafat Basheer; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. A New Method for Siting Hazardous Units in Chemical Process Facilities Which Minimizes Risk at Least Cost: RIDIMPUS. Journal of Failure Analysis and Prevention 2018, 18, 83 -91.

AMA Style

Arafat Basheer, S. M. Tauseef, Tasneem Abbasi, S. A. Abbasi. A New Method for Siting Hazardous Units in Chemical Process Facilities Which Minimizes Risk at Least Cost: RIDIMPUS. Journal of Failure Analysis and Prevention. 2018; 18 (1):83-91.

Chicago/Turabian Style

Arafat Basheer; S. M. Tauseef; Tasneem Abbasi; S. A. Abbasi. 2018. "A New Method for Siting Hazardous Units in Chemical Process Facilities Which Minimizes Risk at Least Cost: RIDIMPUS." Journal of Failure Analysis and Prevention 18, no. 1: 83-91.

Conference paper
Published: 11 January 2018 in Understanding Built Environment
Reads 0
Downloads 0

The vulnerability to an accident in a chemical process industry is not merely a function of the severity of a loss of confinement or the size of the area that can be affected by it. What constitutes the impact area is equally important. Vulnerability is a function of several variables—population density, quality of roads (to help disaster management), proximity to, and quality of, healthcare facilities, etc—besides an overall awareness of the risk and preparedness for the emergency. Additionally, factors such as time and climate which are not directly related to the composition of the impact area also determine it. In order to estimate the risk of an accident more precisely—so that strategies to prevent accidents or to cushion their impacts (when accidents occur) can be put in place accordingly—an index has been attempted which has the provision to factor in the vulnerability aspect. Given the fuzziness associated with the occurrence as well as the impact of any accident, this index is based on fuzzy logic.

ACS Style

Tabassum- Abbasi; Tasneem Abbasi; S. M. Tauseef; S. A. Abbasi. An Accident Vulnerability Index Based on Fuzzy Logic. Understanding Built Environment 2018, 291 -300.

AMA Style

Tabassum- Abbasi, Tasneem Abbasi, S. M. Tauseef, S. A. Abbasi. An Accident Vulnerability Index Based on Fuzzy Logic. Understanding Built Environment. 2018; ():291-300.

Chicago/Turabian Style

Tabassum- Abbasi; Tasneem Abbasi; S. M. Tauseef; S. A. Abbasi. 2018. "An Accident Vulnerability Index Based on Fuzzy Logic." Understanding Built Environment , no. : 291-300.

Conference paper
Published: 11 January 2018 in Understanding Built Environment
Reads 0
Downloads 0

One of the most dangerous consequences of an equipment failure in process industries resulting in a fire and/or explosion is the triggering off of the “domino effect” or “chain of accidents.” An accident in a unit may trigger an accident in another unit which, in turn, may lead to yet other accidents. To prevent such an occurance, it is imperative that hazardous units are kept safe distances away from each other. Of the types of accidents that can occur in chemical process industries, the boiling liquid expanding vapor explosion (BLEVE) is perhaps the most destructive of the forms of accidental explosions that can occur during the manufacture, storage, or transportation of chemicals in a pressure-liquefied state. The resulting blast wave, missiles, and fire or toxic release can cause great damage to life and property. There are several standards and codes which prescribe minimum safe distances to be maintained between equipment to prevent the domino effect from occurring. Of these the code prescribed by the National Fire Protection Agency (NFPA), USA, is among the ones most widely adopted for locating hazardous units. This paper evaluates the effectives of the safe distances prescribed by the NFPA 58 code in preventing a BLEVE in one vessel from causing other vessels and nearby structures to fail. The study reveals that the distances presented by NFPA are not sufficient to prevent the domino effect when the primary accident is a BLEVE.

ACS Style

Euginia Diana Mukhim; Tasneem Abbasi; S. M. Tauseef; S. A. Abbasi. An Assessment of the Appropriateness of the Prescribed “Safe Distances” for Siting Hazardous Process Units to Prevent Domino Effect. Understanding Built Environment 2018, 57 -72.

AMA Style

Euginia Diana Mukhim, Tasneem Abbasi, S. M. Tauseef, S. A. Abbasi. An Assessment of the Appropriateness of the Prescribed “Safe Distances” for Siting Hazardous Process Units to Prevent Domino Effect. Understanding Built Environment. 2018; ():57-72.

Chicago/Turabian Style

Euginia Diana Mukhim; Tasneem Abbasi; S. M. Tauseef; S. A. Abbasi. 2018. "An Assessment of the Appropriateness of the Prescribed “Safe Distances” for Siting Hazardous Process Units to Prevent Domino Effect." Understanding Built Environment , no. : 57-72.

Technical article peer reviewed
Published: 09 January 2018 in Journal of Failure Analysis and Prevention
Reads 0
Downloads 0

The development and validation of a new software named chemical accident simulation tool (CAST) is presented. CAST enables development of scenarios of different types of accidental fires and explosions that can occur in chemical process industry (CPI). CAST is also capable of assessing the likely consequences of such accidents in terms of the area impacted and the types of impacts. The distinguishing features of CAST are (a) it incorporates a larger set of established models than handled by existing packages to simulate a wider variety of accidents in CPI; (b) it is developed with an integrated mapping tool to display damage zones around accident center; this makes the application useful in decision making; and (c) it calculates the results in a fast and reliable manner. Due to these attributes, CAST has increased efficiency, better understanding of the accident scenarios, and better communication of results. Validation of the software has been done with published results which shows that the codes for calculating the impacts from accidents are correct.

ACS Style

S. M. Tauseef; R. Suganya; Tasneem Abbasi; S. A. Abbasi. Chemical Accident Simulation Tool (CAST): A System for Assessing Consequences of Accidents in Chemical Process Industry. Journal of Failure Analysis and Prevention 2018, 18, 101 -116.

AMA Style

S. M. Tauseef, R. Suganya, Tasneem Abbasi, S. A. Abbasi. Chemical Accident Simulation Tool (CAST): A System for Assessing Consequences of Accidents in Chemical Process Industry. Journal of Failure Analysis and Prevention. 2018; 18 (1):101-116.

Chicago/Turabian Style

S. M. Tauseef; R. Suganya; Tasneem Abbasi; S. A. Abbasi. 2018. "Chemical Accident Simulation Tool (CAST): A System for Assessing Consequences of Accidents in Chemical Process Industry." Journal of Failure Analysis and Prevention 18, no. 1: 101-116.