Search results

1 – 10 of over 1000
Article
Publication date: 7 November 2023

Christian Nnaemeka Egwim, Hafiz Alaka, Youlu Pan, Habeeb Balogun, Saheed Ajayi, Abdul Hye and Oluwapelumi Oluwaseun Egunjobi

The study aims to develop a multilayer high-effective ensemble of ensembles predictive model (stacking ensemble) using several hyperparameter optimized ensemble machine learning…

63

Abstract

Purpose

The study aims to develop a multilayer high-effective ensemble of ensembles predictive model (stacking ensemble) using several hyperparameter optimized ensemble machine learning (ML) methods (bagging and boosting ensembles) trained with high-volume data points retrieved from Internet of Things (IoT) emission sensors, time-corresponding meteorology and traffic data.

Design/methodology/approach

For a start, the study experimented big data hypothesis theory by developing sample ensemble predictive models on different data sample sizes and compared their results. Second, it developed a standalone model and several bagging and boosting ensemble models and compared their results. Finally, it used the best performing bagging and boosting predictive models as input estimators to develop a novel multilayer high-effective stacking ensemble predictive model.

Findings

Results proved data size to be one of the main determinants to ensemble ML predictive power. Second, it proved that, as compared to using a single algorithm, the cumulative result from ensemble ML algorithms is usually always better in terms of predicted accuracy. Finally, it proved stacking ensemble to be a better model for predicting PM2.5 concentration level than bagging and boosting ensemble models.

Research limitations/implications

A limitation of this study is the trade-off between performance of this novel model and the computational time required to train it. Whether this gap can be closed remains an open research question. As a result, future research should attempt to close this gap. Also, future studies can integrate this novel model to a personal air quality messaging system to inform public of pollution levels and improve public access to air quality forecast.

Practical implications

The outcome of this study will aid the public to proactively identify highly polluted areas thus potentially reducing pollution-associated/ triggered COVID-19 (and other lung diseases) deaths/ complications/ transmission by encouraging avoidance behavior and support informed decision to lock down by government bodies when integrated into an air pollution monitoring system

Originality/value

This study fills a gap in literature by providing a justification for selecting appropriate ensemble ML algorithms for PM2.5 concentration level predictive modeling. Second, it contributes to the big data hypothesis theory, which suggests that data size is one of the most important factors of ML predictive capability. Third, it supports the premise that when using ensemble ML algorithms, the cumulative output is usually always better in terms of predicted accuracy than using a single algorithm. Finally developing a novel multilayer high-performant hyperparameter optimized ensemble of ensembles predictive model that can accurately predict PM2.5 concentration levels with improved model interpretability and enhanced generalizability, as well as the provision of a novel databank of historic pollution data from IoT emission sensors that can be purchased for research, consultancy and policymaking.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 26 April 2023

Revanth Kumar Reddy Settypalli

This study aims at improving combustion process to reduce emissions. Emissions such as carbon monoxide, particulate matter and unburnt hydrocarbons are a result of incomplete…

Abstract

Purpose

This study aims at improving combustion process to reduce emissions. Emissions such as carbon monoxide, particulate matter and unburnt hydrocarbons are a result of incomplete combustion. These emissions have useful energy but cannot be reclaimed. Hence, to enhance combustion, effect of biofuel blending on diesel combustion was investigated.

Design/methodology/approach

Essential oils have been found easier for blending with diesel because of simple molecular structure compared to vegetable oils. Lavender oil is an essential oil which has not yet been studied by blending with diesel. The major constituents of lavender oil are linalyl acetate (cetane number improver) and linalool (nitrogen oxides reduction). A single-cylinder, four-stroke diesel engine was run by blending diesel with lavender oil (Lavandula angustifolia oil [LAO]) in varying proportions, 5%, 10% and 15% by volume.

Findings

Higher heat release rate (HRR) was observed using lavender oil blends compared to pure diesel. Compared to diesel, an increase in brake-specific fuel consumption using blends was observed. LAO15 has the lowest CO emissions at all loading conditions, 29.3% less at 100% load compared to diesel. LAO5 and LAO15 have 6.9% less HC emissions at 100% load condition compared to diesel. LAO15 has only 1.3% higher NOx emissions compared to diesel at 100% load condition. LAO5 has the lowest smoke content at all loading conditions.

Research limitations/implications

Lavender oil was used directly without any processing. Tested on single-cylinder engine.

Originality/value

To the best of the author’s knowledge, currently, there is no published work on lavender oil–diesel combination. Lavender oil can provide a simple renewable solution for diesel additives with potential up to 15% blending.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

Keywords

Book part
Publication date: 6 February 2023

Asish Kumar Pal and Atanu Sengupta

It is recognised that environmental air pollution is one of the global problems and is a common problem for both developing as well as developed countries. In the era of…

Abstract

It is recognised that environmental air pollution is one of the global problems and is a common problem for both developing as well as developed countries. In the era of globalisation, it is the most important global environmental issue. In general, urban air quality is becoming vulnerable especially in the developing countries due to adopting various developmental schemes. Air pollution problem in Kolkata, capital city of West Bengal, is under serious for a long day. As per guidelines of World Health Organization, for residential areas, air pollution level in Kolkata is considerably higher than the standard enumerated. There are several types of air pollutants which are continuously exposing the air of Kolkata. West Bengal pollution control board (WBPCB) has been monitoring ambient air quality (AAQ) for the parameters viz. suspected particulate matters (SPM), respiratory particulate matters (RPM), sulphur dioxide (SO2), nitrogen dioxide (NO2) and lead (Pb) in Kolkata throughout the years. Present study has been designed to determine the vertical floor-wise air quality status of the city of Kolkata and the seasonal variation of the pollutants over the consecutive years from 2011 to 2017. It is demonstrated that the air pollution is the highest in the winter due to dry weather, second is festive season followed by winter due to heavy movement of vehicles and pedestrians for festival shoppings as well as pandel hoppings and then next is summer. But coming to the point of rainy season, this is the lowest due to wetted air or wind of monsoon. This chapter attempts to understand the long-run trend of air pollution as the periodical average value suggests.

Details

The Impact of Environmental Emissions and Aggregate Economic Activity on Industry: Theoretical and Empirical Perspectives
Type: Book
ISBN: 978-1-80382-577-9

Keywords

Article
Publication date: 5 July 2021

Hasanuzzaman Hasanuzzaman and Chandan Bhar

Environmental pollution and corresponding adverse health impacts have now become a significant concern for the entire planet. In this regard, analysts and experts are continually…

Abstract

Purpose

Environmental pollution and corresponding adverse health impacts have now become a significant concern for the entire planet. In this regard, analysts and experts are continually formulating policies to reduce environmental pollution and improve natural ecological conditions. To aid in coping with the ecological predicament, a framework has been developed in the present study to inspect the adverse environmental impacts and related health issues of coal mining.

Design/methodology/approach

The parameters for this study have been identified through a review of the literature and finalized 23 critical parameters of air, water, land and soil, and noise related to coal mining by consultation with experts from industry and academia. Finally, the parameters have been categorized in accordance with the level of threat they pose to the environment by assigning weight using the Bradley–Terry model considering attitudinal data acquired by a questionnaire survey.

Findings

It is found that coal mining has a relatively higher impact on four attributes of “air pollution” (suspended particulate matter [SPM], respiratory particulate matter [RPM], sulfur dioxide [SO2] and oxides of nitrogen [NOx]), followed by “land and soil pollution” (deforestation and surface structure diversion), “noise pollution” (vehicle movement) and “water pollution” (water hardness, total solids (TSS/TDS) and iron content). It is also found that raising the air concentration of SPM and RPM results in increased respiratory and cardiopulmonary mortality. Therefore, reducing dust concentrations into the air generated during coal mining is recommended to reduce air pollution caused by coal mining, which will reduce contamination of water and land and soil.

Research limitations/implications

The model built in this study is a hypothesized model that relied on the experts' opinions considering the parameters of coal production only. However, the parameters related to the usage of coal and its consequences have been excluded. Further, only industrial and academic experts were considered for this study; however, they excluded local people, coal mining personnel, policy authorities, etc. Therefore, the study findings might differ in real circumstances. The research can further be reproduced by considering the parameters related to the use of coal and its consequences, considering the opinions of the local people, coal mining personnel and policy authorities.

Practical implications

Categorizing the parameters according to the threat they pose to the environment due to coal mining can help the decision-maker develop an effective policy to reduce environmental pollution due to coal mining by considering the parameters on a priority basis. In addition, the results further help the decision-makers to assess the environmental impact of coal mining and take necessary action.

Originality/value

The study has developed a framework using the Bradley–Terry model to categorize the environmental parameters of coal mining to develop effective environmental policies, which are original and unique in nature.

Details

Management of Environmental Quality: An International Journal, vol. 32 no. 6
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 1 March 1983

OFFSHORE and remotely located gas compression trains have brought to light peculiar problems of contamination in compressor seal oil systems and, to a lesser degree, compressor…

Abstract

OFFSHORE and remotely located gas compression trains have brought to light peculiar problems of contamination in compressor seal oil systems and, to a lesser degree, compressor lubricating oil systems. A more complex situation exists in the event that the lubricating and seal oil systems are one.

Details

Industrial Lubrication and Tribology, vol. 35 no. 3
Type: Research Article
ISSN: 0036-8792

Abstract

Details

Threats from Car Traffic to the Quality of Urban Life
Type: Book
ISBN: 978-0-08-048144-9

Article
Publication date: 14 August 2017

Jamiu Adetayo Adeniran, Rafiu O. Yusuf, Michael O. Amole, Lukuman Adekilekun Jimoda and Jacob Ademola Sonibare

The introduction of mobile telecommunication services in Nigeria led to the development of base transceiver stations (BTS) across the country. Inadequate power supply from the…

Abstract

Purpose

The introduction of mobile telecommunication services in Nigeria led to the development of base transceiver stations (BTS) across the country. Inadequate power supply from the national grid has led to massive use of diesel-fueled back-up generators (BUGs). The purpose of this paper is to attempt to quantify and inform relevant stakeholders about air quality implications of BTS BUGs.

Design/methodology/approach

Seven major telecommunication network operators were identified. Emission factor approach was used to estimate the quantity of important air pollutants such as NOx, CO, SO2, PM10, PM2.5, PAH and TVOC that are emitted from the use of the BUGs based on fuel consumption rate and generators’ capacity. Fuel-based emission inventory and emission factor from the United States Environmental Protection Agency AP-42 and National Pollution Inventory were used to estimate pollutants emission from diesel-powered generators used in the BTS sites and amount of diesel consumed. Land distribution and per capita dose of the estimated pollutants load were calculated.

Findings

The study showed that the deployment of BUGs will lead to increase emissions of these air pollutants. The states that are most affected are Lagos, Kano and Oyo, Katsina and Akwa Ibom states with respective total air pollutants contribution of 9,539.61, 9,445.34, 8,276.46, 7,805.14 and 7,220.70 tonnes/yr.

Originality/value

This study has estimated pollutant emissions from the use of diesel-fueled BUGs in mobile telecommunications BTS sites in Nigeria. The data obtained could assist in policy making.

Details

Management of Environmental Quality: An International Journal, vol. 28 no. 5
Type: Research Article
ISSN: 1477-7835

Keywords

Open Access
Article
Publication date: 16 February 2023

Danladi Chiroma Husaini, Kemberly Manzur and Jorge Medrano

This systematic review examined the emerging threat of indoor and outdoor pollutants to public health in Latin America and the Caribbean (LAC).

Abstract

Purpose

This systematic review examined the emerging threat of indoor and outdoor pollutants to public health in Latin America and the Caribbean (LAC).

Design/methodology/approach

Pollutants and pollution levels are becoming an increasing cause for concern within the LAC region, primarily because of the rapid increase in urbanization and the use of fossil fuels. The rise in indoor and outdoor air pollutants impacts public health, and there are limited regional studies on the impact of these pollutants and how they affect public health. A comprehensive literature search was conducted using Google Scholar, PubMed, Scopus, EBSCOhost, Web of Science and ScienceDirect databases. Significant search terms included “indoor air pollution,” “outdoor air pollution,” “pollution,” “Latin America,” “Central America,” “South America” and “Caribbean was used.” The systematic review utilized the Rayyan systematic software for uploading and sorting study references.

Findings

Database searches produced 1,674 results, of which, after using the inclusion–exclusion criteria and assessing for bias, 16 studies were included and used for the systematic review. These studies covered both indoor and outdoor pollution. Various indoor and outdoor air pollutants linked to low birth weight, asthma, cancer and DNA impairment were reported in this review. Even though only some intervention programs are available within the region to mitigate the harmful effects of pollution, these programs need to be robust and appropriately implemented, causing possible threats to public health. Significant gaps in the research were identified, especially in the Caribbean.

Research limitations/implications

Limitations of the study include limited available research done within LAC, with most of the research quantifying pollutants rather than addressing their impacts. Additionally, most studies focus on air pollution but neglect water and land pollution’s effects on public health. For this reason, the 16 studies included limited robustness of the review.

Originality/value

Although available studies quantifying pollution threats in LAC were identified in this review, research on the adverse impacts of pollution, especially concerning public health, is limited. LAC countries should explore making cities more energy-efficient, compact and green while improving the transportation sector by utilizing clean power generation. In order to properly lessen the effects of pollution on public health, more research needs to be done and implemented programs that are working need to be strengthened and expanded.

Details

Arab Gulf Journal of Scientific Research, vol. 42 no. 1
Type: Research Article
ISSN: 1985-9899

Keywords

Article
Publication date: 18 April 2008

Muawya Ahmed Hussein

The purpose of this paper is to provide estimates of damage cost for several areas of the environment. In particular: to estimate the cost of degradation as a percentage of gross…

2839

Abstract

Purpose

The purpose of this paper is to provide estimates of damage cost for several areas of the environment. In particular: to estimate the cost of degradation as a percentage of gross domestic product (GDP) at the national level; to enhance local capacity in environmental economics, in particular in the valuation of environmental degradation; and to provide an input to inter‐sectoral environmental priority setting.

Design/methodology/approach

To achieve the above objectives a framework was developed to estimate the cost of environmental degradation in seven countries in the region, for six categories. Estimates reflect order of magnitude and therefore represent an indication of actual damage costs. A range of estimates was provided to reflect the uncertainty of the results. Damage costs are presented in annual values (in local currencies, in US$ dollars) and as a per cent of GDP. Expressing costs as a share of GDP provides a sense of magnitude and will allow cross‐country comparison.

Findings

The damage cost of environmental degradation in Middle East and North Africa (MENA) in 2000 is estimated at US$ 9 billion per year, or 2.1‐7.4 per cent of GDP, with a mean estimate of 5.7 per cent of GDP. In addition, the damage cost to the global environment is estimated at 0.5‐1.6 of GDP, with a mean estimate of 0.9 per cent of GDP.

Research limitations/implications

Owing to data constraints, no cost estimates are provided for some impact such as: degradation associated with industrial, hazardous and hospital waste, biodiversity loss, and impact of inadequately treated wastewater, thus calculations often represent lower bound estimates.

Originality/value

This paper is a contribution in a process towards the use of environmental damage cost assessments for priority setting and as an instrument for integrating environmental consideration into economic and social development.

Details

Management of Environmental Quality: An International Journal, vol. 19 no. 3
Type: Research Article
ISSN: 1477-7835

Keywords

Open Access
Article
Publication date: 3 October 2019

Sharmin Majumder, Tanasri Sihabut and Md Golam Saroar

In order to reduce the health impacts of air pollution effectively, developing strategies that involves individual or community level is crucial. The purpose of this paper is to…

2840

Abstract

Purpose

In order to reduce the health impacts of air pollution effectively, developing strategies that involves individual or community level is crucial. The purpose of this paper is to assess people’s protective practices for inhalable particulate matter and its significant determinants such as general characteristics, knowledge and attitude among residents of an urban residential area, Dhaka, Bangladesh.

Design/methodology/approach

This cross-sectional study was conducted by systematic random sampling. A total of 424 people, who lived in that area for not less than two years before the survey, were interviewed using a structured questionnaire. χ2 and Fisher’s exact test were used to analyze the data.

Findings

Only a small proportion of respondents had high practice level. In addition, a little more than half has high level of knowledge about inhalable particulate matter, its adverse health effects and protective practices and almost 70 percent had high level of attitude toward air pollution. The protective practices for small inhalable particulate matter was significantly associated with age, educational level, occupation, knowledge and attitude toward small inhalable particulate matter, its adverse health effects and protective measures.

Originality/value

A good level of knowledge about the prevailing air pollution and related health risks can be crucial to develop more focused attempt at changing the current situation with public participation. The environmental experts and health volunteer should disseminate precise and adequate information about long-term health hazards of particulate matter and measures of exposure prevention to improve the protective practices.

Details

Journal of Health Research, vol. 33 no. 6
Type: Research Article
ISSN: 2586-940X

Keywords

1 – 10 of over 1000