A GIS – based method for assessment and mapping of noise pollution in Ota metropolis, Nigeria

Oyedepo, Sunday Olayinka; Adeyemi, Gbadegesin; Olawole, C. Olukunle; Ohijeagbon, O.I.; Fagbemi, O.K.; Solomon, Rotimi; Ongbali, Samson O.; Babalola, P.O.; Dirisu, J. O.; Efemwenkiekie, U. K.; Adekeye, T.; Nwaokocha, Collins N.

doi:10.1016/j.mex.2019.02.027

Cited by 39 publications

(28 citation statements)

References 5 publications

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“…There are no standard interpolation techniques for this kind of situation in GIS. So, the noise model was developed using IDW (Inverse Distance Weighted) interpolation technique [27]. TIN is built by joining known points values into a series of triangles based on a Delaunay triangulation.…”

Section: Methodsmentioning

confidence: 99%

Urban road traffic noise on human exposure assessment using geospatial technology

Partheeban¹,

Karthik²,

Elamparithi

et al. 2021

Environmental Engineering Research

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The sounds produced by humans, industries, transport and animals in the atmosphere that pose a threat to the health of humans or animals can be characterized as noise pollution. Adverse effects due to noise exposure can involve speech communication interference and declining learning skills of children. Highway traffic noise contributes to 80% of all noise. It has grown to a massive scale because of growth in population along the roads leading to a rapid change in land use and has evolved into a common reality in various Indian cities. The main objective of this work is to develop a road traffic noise prediction model using ArcGIS 10.3 for the busy corridors of Chennai. The collected data includes traffic volume, speed, and noise level in lateral and vertical directions. Noise levels were measured in 9 locations using a noise level meter. It is observed that the noise levels vary from 50 dB to 96 dB. It is found that the noise problem is severe in 18% of the area, and 6.3% of people are exposed to the traffic noise problem. The results obtained in this study show that the city is affected by severe noise pollution due to road traffic.

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Section: Methodsmentioning

confidence: 99%

Urban road traffic noise on human exposure assessment using geospatial technology

Partheeban¹,

Karthik²,

Elamparithi

et al. 2021

Environmental Engineering Research

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“…At each successive day of the storage, 1 g of mashed tomato sample from each experimental condition was thoroughly grounded and homogenized in 9 ml sterile water, serially diluted, inoculated into brain heart infusion agar and incubated at 37°C for 24 h. Total bacteria colonies were enumerated and phenotypically biotyped with the taxonomic scheme of Bergey's Manual of Determinative Bacteriology [32].…”

Section: Viable Bacteria Count and Phenotypic Characterizationmentioning

confidence: 99%

Characterization and Phylodiversity of Implicated Enteric Bacteria Strains in Retailed Tomato (Lycopersicon esculentum Mill.) Fruits in Southwest Nigeria

Obafemi

Akinduti

Ajayi³

et al. 2021

Open Access Maced J Med Sci

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BACKGROUND: Tomatoes (Lycopersicon esculentum Mill.) have very huge health-promoting benefits due to high nutritional composition; however, these fruits are potential reservoir of enteric food-borne pathogens causing major public health concerns. AIM: Characterization and phylo-analysis of implicated enteric bacteria strains in retailed Tomato fruits in southwest Nigeria were studied. METHODS: Ready to be retailed fresh tomato fruits were purchased from common food markets in southwest, Nigeria, which lies between latitudes 6° 21′ to 8° 30′ N and longitudes 2° 30′ to 5° 30′ E. Observation of sample storage potentials at different conditions and bio-typing of associated bacterial strains were carried out for consecutive 14 days. Enteric bacteria strains were genotyped with 16S rRNA assay and further profiled for antibiotic susceptibility to common antibiotics. High population rate frequently consume tomatoes. RESULTS: Early spoilage characterized with yellow fluid, fungal growth and visible lesions were observed at 25°C storage compare to few patches of lesion at 4°C after 14 days. Higher bacterial count of 4.0–7.18 Log CFU/g was recorded at ambient storage compare to refrigerated samples with more than 10% occurrence rate of Citrobacter spp., Klebsiella spp. and Enterobacter spp. Identified Citrobacter spp. and Klebsiella spp. showed 100% resistant to beta-lactam antibiotics (ceftazidime, cefuroxime, cefixime, ciprofloxacin, and amoxicillin-clavulanic acid). Two-resistant enteric bacteria strains, Klebsiella aerogenes B18 and Citrobacter freundii B27 obtained from Nigerian tomato clustered with Citrobacter strains in food (China), water strains (India, Poland, Malaysia), milk (Germany), and human fecal (China). CONCLUSION: Implicated multidrug-resistant enteric bacilli in retailed tomatoes can cause severe food-borne diseases which public oriented awareness, strategic farm to market surveillance are needed to be intensified.

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“…Traffic noise index (TNI) or traffic noise pressure levels are estimated by the following equation (Banerjee, 2009) given below. The noise exposure index (NEI) is the measurement to assess noise-induced hearing loss and is determined by the given equation (Oyedepo et al, 2019)…”

Section: Assessment Of Tni Nc Lnp and Neimentioning

confidence: 99%

Traffic Noise Pollution Assessment in Major RoadJunctions of Imphal City, Manipur (India)

Alam

Nungate

2021

Preprint

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Noise pollution assessment was carried out in selected traffic junctions of Imphal city of Manipur, India. The noise pollution assessment was carried out using noise parameters and indices such as L10, L50, L90, Leq for selected traffic junctions during the different periods of the day, i.e., morning, noon, and evening hours. The study of equivalent noise level (Leq), noise parameters, and various noise indices have enabled the evaluation of the overall traffic noise environment of the city. The traffic noise indices such as traffic noise index (TNI), noise climate (NC), traffic noise pollution level (LNP), noise exposure index (NEI) along with day time (LD), night time (LN) average, and day-night (Ldn) noise levels were assessed for the selected traffic junctions. Moreover, spatial noise mapping was carried out using the geostatistical interpolation technique to evaluate the changes of traffic noise scenarios during the different time zones of the day. The Leq values in few traffic junctions exceeded the required noise standards. The study shows equivalent noise level ranging between 52.2–69.9 dB(A) during the morning (7–10 am), 52.4–69.3 dB(A) during noon (12 noon-2 pm), and 54.6–71.1 dB(A) during the evening (4–7 pm) hours, respectively.

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A GIS – based method for assessment and mapping of noise pollution in Ota metropolis, Nigeria

Abstract: Graphical abstract

Cited by 39 publications

References 5 publications

Urban road traffic noise on human exposure assessment using geospatial technology

Urban road traffic noise on human exposure assessment using geospatial technology

Characterization and Phylodiversity of Implicated Enteric Bacteria Strains in Retailed Tomato (Lycopersicon esculentum Mill.) Fruits in Southwest Nigeria

Traffic Noise Pollution Assessment in Major RoadJunctions of Imphal City, Manipur (India)

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