AFRICAN JOURNAL OF HEALTH & ENVIRONMENTAL SCIENCES, ENTREPRENEURSHIP, ENGINEERING & AGRICULTURE

This study investigates the effect of gas flaring on the environs around the igwuruta flow station. The study adopted the completely randomized block design (CRBD) due to the similarity of the experimental points where the ambient air quality readings (from 4 stations). Instruments like Aero Qual 500 Series (Gas Monitor), GT 321 Particulate Metre, Automated Global Position System (GPS), Extech Meteorology Metre, and Measuring Tape were used to assess the parameters or pollutants in the environs around the Igwuruta flow station. The study revealed that the environs around the Igwuruta flow station is polluted with pollutants like: CO2 =563.5 μg/m3, N02 = 0.070 μg/m3, O3 = 0.0175 μg/m3, So2 = 0.00 μg/m3, H2S = 0.00 μg/m3, CH4 =0 μg/m3, CO =0.2μg/m3, NH3 =0.2 μg/m3, Pm 2.5 =0.009 μg/m3, Pm 10 = 0.0134 μg/m3, noise =54.2dBA, temperature =31.7 OC, WS =1.43 m/s, and RH = 71.2% which differ from the daily WHO and DPR standards. Furthermore, the study found that the concentration of CO2 could lead to the possibility of respiratory diseases, skin disease, ear defects, etc. While the high temperature could lead to intense heat that can affect humans (especially pregnant women delivering prematurely), including plants and animals. The study recommended amongst others that: trees should  be  planted  to  absorb  the  excess concentration of CO2 around the environs of the Igwuruta flow station, alongside high temperature resistant plant like Lantana should be planted in the communities bordering the Igwuruta or Agada flow station with high intensity of temperature.

Environmental noise assessment overwhelmingly relies on A-weighted equivalent levels (LAeq), which aggregate time-varying signals while suppressing low-frequency content. This simplification masks spectral and temporal features that are central to lowfrequency noise annoyance. Consequently, there is a need for analytical methods that transform high-resolution time-series measurements into interpretable spectral signatures, particularly as a function of distance from a noise source in real environments. A stationary agglomeration of industrial noise sources (dominant frequency ~300–350 Hz) was measured at radial distances from 1 m to 50 m in a semi-open built environment. At each location, 60-second continuous time series were recorded (44.1 kHz sampling, 1-second integration). Fast Fourier Transform (FFT) analysis was performed using a Hanning window, 8192-point segments, and 50% overlap to generate power spectral densities. Temporal stability was assessed by subsampling into 10 s, 30 s, and 60 s windows. Key spectral metrics: dominant frequency, spectral centroid, low-frequency energy proportion (50–300 Hz vs. 300–2000 Hz), and tonal prominence, were evaluated as functions of distance. Results were compared with ISO 1996-2 annoyance criteria and established lowfrequency noise thresholds. The results indicate that a 30-second window was sufficient forstable spectral extraction (coefficient of variation