International Journal of Environment and Pollution Research (IJEPR)

EA Journals

Waste Management

Heavy Metal Contamination and Health Risk Assessment of Groundwater Sources to Waste Dumpsites in Port Harcourt (Published)

Heavy metal contamination and health risk assessment of groundwater ingestion in proximal relation to waste dumpsites in Port Harcourt were investigated during the rainy and dry season of 2020. Five (5) sampling points were established and designated as Groundwater (GW) as follows: GW1, GW2, GW3, GW4, and GW5 respectively. The control station used was GW5. Nine (9) heavy metals (Cd, As, Mn, Cu, Hg, Ni, Fe, Pb, and Zn) were assessed during the period using an atomic absorption spectrometer and were compared with National Standard for Drinking Water Quality (NSDWQ) of Nigeria. The Estimated Daily Intakes of Metal (EDIM) of these metals for adult males, females, and children revealed no significant health issues during the wet and dry seasons. However, the Health Risk Index (HRI) for non-carcinogenic revealed that during the wet season Pb in the control station (GW5) had a concentration of 4.000E+0 mg/kg/day that was far higher than unity (HRI<1) for females. The Arsenic (As) values for children at GW1, 2, and 3 were also higher than unity. The pollution index for each heavy metal across sample location showed that Fe in GW1 and 3 during the dry season was high while in the wet season, values for Cu in GW4 was very high, Fe in GW1 and 2, and Mn in GW2 were higher than the unity. The overall pollution index of the heavy metal studied revealed that only Fe exceeded the unity value during the dry season whereas Cu, Fe, Pb, and Mn concentrations were also higher during the wet season. This calls for concern considering the vulnerability of children and women who may have been exposed to groundwater sources via ingestion. The heavy metal contamination as observed in this study may have occurred due to anthropogenic activities superimposed by the unregulated insanitary waste disposal phenomenon.

Citation: Alaye A.S. Bibiye;  David N. Ogbonna; Sodienye A. Abere; Augusta Ayotamuno (2022) Heavy Metal Contamination and Health Risk Assessment of Groundwater Sources to Waste Dumpsites in Port Harcourt, International Journal of Environment and Pollution Research, Vol.10, No.2 pp.34-49

 

Keywords: Groundwater, Heavy Metal, Pollution Index, Waste Management, health risk assessment.

Scavenging Birds on Solid Waste Dumps: A Significant Health-threat to City Inhabitants in Limbe, Southwest Region, Cameroon (Published)

Over the past decade, the need for better waste management has become more obvious with the increase in human population growth. Feeding is an essential activity of bird’s life which is indispensable for its survival, however, the demands of food acquisition impose significant challenges to both physiology and behavior of birds. This survey was aimed at examining the activity of wild birds on waste dumps in Limbe city. The data collection process started in the month of March and ended in July. The research area was divided into four zones, north, south, east, and western zone. Four solid-dumps were randomly selected from each zone and were visited twice a week for research data collection. On the dumps, observations were done from 6:00am – 6:00pm, and the activities of all the bird species observed were recorded during the period. The results of this study has shown a significant association between bird species, activity, dump-weight, and the waste proximity to human residence, X2 = 24.205 df=14, P=0.043, X2 =. 43.999 df=35, p<0.05, and r = 0.253, P=0.000 respectively. Also, the study showed that the activity profile of Passer griseus (27%) and Ploceus cucullatus (49%) were higher as compared to Ploceus luteolus (4%), Lanius collaries (5%), Corvus albus 8%), Bubulcus ibis (5%), and Pycnonotus barbatus (2%) respectively. Additionally, the birds’ activity recorded a weak association on dump-weight and dump distance to human homes, X2 = 8.343 df=10, P<0.05, and X2 = 4.851 df=8, P<0.05 respectively. The undulating landscape in Limbe municipality showed a dependency on dump-weight and dump distance from homes, X2 = 128.020 df=10, P=0.000, and r = 0.226, P=0.001 respectively. Also, the dumps with a home-proximity of 1m-20m were the most recorded in flat landscape areas, and most of the waste on these dumps were estimated to have a weight range of 1kg-200kgs (48%), 201kg-400kgs (27%), 401kg-600kgs (16%), and 601kg-800kgs (9%) respectively. Poor waste disposal system has been the main reason behind flood hazards in this sea-shore city, a phenomenon that has witnessed the destruction of both human lives and properties in the past. The city needs a modern waste management system to prevent or reduce the population of birds visiting the dump-sites which would often serve as vectors in cycling pathogens to humans from these dumps. 

Keywords: Waste Management, flood hazards, pathogens, waste dumps, wild birds

Statistical Survey of Waste Management in Osun State, Nigeria: Binary Logistics Approach. (Published)

This research work is in line with the strategic priorities of environment management agencies, and has the potentials to assist the organization in their effort to ensure the efficient management of solid and liquid waste in the City of Osogbo.  With a view of providing empirical data information with respect to the causative factors responsible for the visible environmental pollution by wastes and materials from food outlets. Data was gathered from a representative sample of 332 food outlets on socio-economics demographic, environmental, sanitary and health related variables that are related to waste analysis was performed using statistical procedures such as frequency tables, pearson’s chi-square tests of association and binary logistic regression analysis in the statistical package STATA version 10. Odds rations estimated from logistic regression analysis were used for identifying key factors that affect efficiency in the proper disposal of waste. Results obtained showed that 18% of the 332 food outlets in the study were generally inefficient in waste disposal. Based on odds rations estimated from binary logistic regression analysis, wrong perception (a factor of 10.88), failure to provide trash cans to customers (a factor of 3.15), the operation of food outlets by non-owners of managers (a factor of 2.33), factors that affect the proper management of waste at the 332 food outlets in the study.

Keywords: Binary Logistic Regression, Osun State, Waste Management, Waste.

Statistical Survey of Waste Management in Osun State, Nigeria: Binary Logistics Approach (Published)

This research work is in line with the strategic priorities of environment management agencies, and has the potentials to assist the organization in their effort to ensure the efficient management of solid and liquid waste in the City of Osogbo.  With a view of providing empirical data information with respect to the causative factors responsible for the visible environmental pollution by wastes and materials from food outlets. Data was gathered from a representative sample of 332 food outlets on socio-economics demographic, environmental, sanitary and health related variables that are related to waste analysis was performed using statistical procedures such as frequency tables, pearson’s chi-square tests of association and binary logistic regression analysis in the statistical package STATA version 10. Odds rations estimated from logistic regression analysis were used for identifying key factors that affect efficiency in the proper disposal of waste. Results obtained showed that 18% of the 332 food outlets in the study were generally inefficient in waste disposal. Based on odds rations estimated from binary logistic regression analysis, wrong perception (a factor of 10.88), failure to provide trash cans to customers (a factor of 3.15), the operation of food outlets by non-owners of managers (a factor of 2.33), factors that affect the proper management of waste at the 332 food outlets in the study.

Keywords: Binary Logistic Regression, Osun State, Waste Management, Waste.

Perceived Effect of Waste Generation on the Climate among Rural Households in Oyo State, Nigeria (Published)

This study examined the perceived effect of waste generation on climate change among rural households in Oyo state, Nigeria.  Two local government areas were randomly selected from the three senatorial districts in Oyo state from which five villages each were randomly selected. A total of 15 households across the selected villages were randomly selected to give a total sample size of 150 respondents. Data were collected through the use of interview schedule and analyzed using frequencies and percentages to present the descriptive analysis, while Pearson Product Moment Correlation and Chi- Square were used for inferential analysis. The findings of the study revealed that the average age of the respondents in the study area was  37 years, as majority (75.0%) were married  and had no formal education (63.2%).  Majority (90.0%) were farmers, had small farm size (86.1%) of range 1-5 acres. Kitchen waste (94.7%), crop waste (88.8%) and animal waste (65.3%) were the major waste generated within the households in the study area. Most (92.0%) of the respondents disposed their wastes making use of sacks (83.3%) 62.0% and 74.7% dispose their waste into drainage channels (62.0%) and flowing stream (74.7%) respectively. Few (14.7%) obtained information on waste management practices through the radio. Majority (78.2%) had low knowledge level on waste management practice and wrong perception (79.2%) of the effects of waste generation to climate change. Level of education (2 = 9.273, sources of information on waste management practices (r = 0.325) and knowledge on waste management practices (r = 0.276) have influence on the perceived effect of waste generation to climate change. There is the need to create awareness on the environmental effect of waste and inappropriate waste management practices among rural households.

Keywords: Climate Change, Knowledge on Waste Management, Perceived Effect of Waste, Waste Generation, Waste Management, Waste.

Perceived Effect of Waste Generation on the Climate among Rural Households in Oyo State, Nigeria (Published)

This study examined the perceived effect of waste generation on climate change among rural households in Oyo state, Nigeria. Two local government areas were randomly selected from the three senatorial districts in Oyo state from which five villages each were randomly selected. A total of 15 households across the selected villages were randomly selected to give a total sample size of 150 respondents. Data were collected through the use of interview schedule and analyzed using frequencies and percentages to present the descriptive analysis, while Pearson Product Moment Correlation and Chi- Square were used for inferential analysis. The findings of the study revealed that the average age of the respondents in the study area was 37 years, as majority (75.0%) were married and had no formal education (63.2%). Majority (90.0%) were farmers, had small farm size (86.1%) of range 1-5 acres. Kitchen waste (94.7%), crop waste (88.8%) and animal waste (65.3%) were the major waste generated within the households in the study area. Most (92.0%) of the respondents disposed their wastes making use of sacks (83.3%) 62.0% and 74.7% dispose their waste into drainage channels (62.0%) and flowing stream (74.7%) respectively. Few (14.7%) obtained information on waste management practices through the radio. Majority (78.2%) had low knowledge level on waste management practice and wrong perception (79.2%) of the effects of waste generation to climate change. Level of education (ᵪ2 = 9.273, sources of information on waste management practices (r = 0.325) and knowledge on waste management practices (r = 0.276) have influence on the perceived effect of waste generation to climate change. There is the need to create awareness on the environmental effect of waste and inappropriate waste management practices among rural households.

Keywords: Climate Change, Knowledge on Waste Management, Perceived Effect of Waste, Waste Generation, Waste Management, Waste.

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