Modeling of gaseous pollutants (CO and NO2) emission from an industrial stack in Kano city, northwestern Nigeria

Tyovenda, Aondongu Alexander; Ayua, Tyoyima John; Sombo, T.

doi:10.1016/j.atmosenv.2021.118356

Cited by 11 publications

(6 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Equation ( 7), T G is used to evaluate the annual adjusted water volume of the forest stand, and K C is the buying and selling price of the water resource market. The calculation of the soil consolidation value in the soil retention capacity is shown in Equation ( 8) [32].…”

Section: Construction Of Evaluation Index System For Urban Forest Eco...mentioning

confidence: 99%

The Application of Geographic Information System in Urban Forest Ecological Compensation and Sustainable Development Evaluation

An,

Liu,

Hou

2024

Forests

View full text Add to dashboard Cite

Urban forests can alleviate the urban heat island effect, improve air quality, and improve residents’ mental health. By studying urban forests, these resources can be better used and managed to create more livable urban environments. Therefore, the urban forest in the Taishan region is taken as the research object, and the ecological compensation and sustainable development of urban forest in Tai’an City are deeply analyzed by GIS. It divided the area into forest land, water bodies, wetlands, grasslands, and shrubs as the basic ecosystem types. And through secondary interpretation and combination, a complete urban forest information database was established. To evaluate the comprehensive benefits of urban forests, the analytic hierarchy process was utilized to establish a corresponding evaluation index system. Based on the assessment outcomes of the comprehensive benefits of urban forests in the area, a standard accounting method for urban forest ecological compensation was proposed. The results showed that each index of the comprehensive benefits of urban forests and the random consistency ratio were both less than 0.1. This indicated that the matrix calculation results of various indicators of urban forest comprehensive benefits had good consistency. At the target level, the comprehensive evaluation score of urban forests in the study area was 7.69. At the factor level, the weight value of the urban forest landscape structure was 0.675, and the comprehensive score was 7.62. The weight value of urban forest comprehensive benefits was 0.325, and the comprehensive score was 7.82. The quantitative weight value of urban forest greening in the study area was 0.6138, with a comprehensive score of 7.57. Based on the analysis of the issues in urban forests and ecological compensation in the research area of Tai’an City, corresponding ecological compensation strategies have been proposed. It is of great value to study the urban forest of Tai’an city, which can help to formulate more effective urban planning and sustainable development strategies. The research results can also provide a valuable reference and inspiration for the improvement of urban forest ecological environment and biodiversity protection in other areas.

show abstract

Section: Construction Of Evaluation Index System For Urban Forest Eco...mentioning

confidence: 99%

The Application of Geographic Information System in Urban Forest Ecological Compensation and Sustainable Development Evaluation

An,

Liu,

Hou

2024

Forests

View full text Add to dashboard Cite

show abstract

“…Following Tyovenda, Ayua, and Sombo [20], expansion and approximation to C(x, y, z) may be more useful as pollutants continue to travel in the air for long distances thus Eq. ( 3) in an unbounded integral form is:…”

Section: B Analytical Solution Procedures Of the Advection-diffusion ...mentioning

confidence: 99%

“…where , are the exit velocity, radius and temperature of the emission stack respectively, and ; is the ambient potential temperature [14,20].…”

Section: Dispersion Parameters Estimation and Stack Characteristics F...mentioning

confidence: 99%

“…To build the model, we made some assumptions like the diffusing pollutants does not have penetrating sources from the downwind distance of the point source, i.e. they are inert, the vertical components of the wind speed and lateral flow of the mean velocity is assumed to be zero, the eddies in the dominant wind direction is negligible and imposed steady state conditions which are eminent conditions from the literature [11,12,20].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of Fine Particulate Matter Dispersion from the Grand Cereals Industry Jos, Nigeria Using a Modified Gaussian Plume Model

Ayua¹,

Tyovenda²,

Tikyaa³

et al. 2023

IJESD

View full text Add to dashboard Cite

Air pollution in Jos, Nigeria, is concerning due to a variety of anthropogenic sources which expose residents to possible respiratory health risks. Good emission source data and an understanding of all elements connected to air pollution is the foundation for successful pollution abatement. The study established a model for crosswind-integrated concentrations by solving the advection-diffusion equation using the reducible and irreducible techniques and utilizes it to forecast the concentration of PMX pollutants released from a stack in Jos, Nigeria. Data was collected from the Grand Cereals environment using a Handheld Portable Particle Counter for PMx with model number CW-HAT 200 for a year. High values of fine particulates recorded in the study are worrisome because they represent a threat to human health. Moreover, the monitored and modeled results evidenced a higher risk for human health in specific points, particularly areas less than 100m away from the stack which is seen as deriving from the stack emissions. Electrostatic precipitators or mist collectors can be installed to reduce the PMX emissions and its impact on human health. We proposed that the boiler stack be replaced with a taller one and that people living and working near the industry wear a nasal mask to mitigate inhaling dangers. The model performs better in estimating PM2.5 concentrations under unstable conditions and is recommended for PM2.5 monitoring.

show abstract

“…AERMOD has been tested in several arrangements: industrial and agricultural facilities, with high-resolution land use modeling episodes, or multiple years spent conducting environmental impact assessments. It has been estimating the levels of exposure to gases and PM of the population living close to the installations (Cerqueira et al 2019, Macêdo and Ramos, 2020, Kelleghan et al, 2021, Pirhalla et al 2021, Tyovenda et al 2021, Pecha et al 2021Cimorelli et al, 2005; Motalebi and Guo, 2021). In the regulatory applications as environmental impact assessments (EIAs), AERMOD simulations cover the most recent 5-year period of atmospheric data.…”

Section: Gaussian Plume Model (Aermod)mentioning

confidence: 99%

Reactive hydrocarbons (C6-C11) in the Metropolitan Area of São Paulo

Coelho

View full text Add to dashboard Cite

Os compostos orgânicos voláteis (COVs) são fundamentais nas reações atmosféricas, produzindo ozônio troposférico (O3) e aerossóis orgânicos secundários (SOA). Dentre os COVs, destacam-se os hidrocarbonetos (HCs), incluindo os compostos aromáticos (ex. (BTEX: benzeno, tolueno, etilbenzeno, m,p-e o-xilenos) sendo emitido diretamente na atmosfera, em áreas urbanas, por escapamentos de veículos, evaporação de combustível, uso de solventes, emissões de gás natural e processos industriais. São Paulo é o estado brasileiro com maior ocupação territorial e mais de 47 milhões de habitantes, somado ao maior desenvolvimento econômico e à maior frota automotiva, causando degradação da qualidade do ar. Na região metropolitana de São Paulo (RMSP), em particular, a frota de mais de 7 milhões de veículos tem sido reconhecida como a principal causa de eventos de poluição do ar, mas problemas de saúde e queixas da população do entorno de um importante complexo industrial e petroquímico do MASP também receberam atenção. Nesse contexto, o presente estudo avaliou os HCs próximos ao Complexo Petroquímico de Capuava (CPC) na RMSP, no período de 2016 a 2022. Na primeira etapa foram analisados dados de diferentes HCs com base em amostragens horárias em dois locais diferentes durante, 2016-2017. Na segunda parte do estudo foram analisadas as emissões descontroladas de material particulado (PM) e COVs, que ocorreu entre abril e maio de 2021 no CPC, com base nos dados da estação de qualidade do ar de Capuava (CETESB) e aplicando o modelo de pluma gaussiana -AERMOD (steady-state plume model), estimamos as concentrações de COV e PM10. Finalmente, uma análise dos dados horários de benzeno e tolueno foi fornecida, para seis estações de qualidade do ar (Capuava,

show abstract

Modeling of gaseous pollutants (CO and NO2) emission from an industrial stack in Kano city, northwestern Nigeria

Cited by 11 publications

References 23 publications

The Application of Geographic Information System in Urban Forest Ecological Compensation and Sustainable Development Evaluation

The Application of Geographic Information System in Urban Forest Ecological Compensation and Sustainable Development Evaluation

Simulation of Fine Particulate Matter Dispersion from the Grand Cereals Industry Jos, Nigeria Using a Modified Gaussian Plume Model

Reactive hydrocarbons (C6-C11) in the Metropolitan Area of São Paulo

Contact Info

Product

Resources

About