2 resultados para Map of environmental quality

em Bioline International


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Some physiochemical properties of water quality of Otamiri-oche River which runs through Imeh, Edegelem and Chokocho Communities in Etche ethnic nationality of Rivers State, Nigeria were investigated. Samples were collected in triplicate from the three different locations along the river in both rainy and dry seasons. Each sampling points is located 500m away from the successive one, and the samples were taken from the open river at the zone extending beyond the shoreline. Samples were stored in ice packs and immediately taken to the laboratory to investigate some selected physico-chemical characteristics. Also, bacteriological study was carried out on the samples. The laboratory results of the selected physico-chemical parameters when compared with the world health organization (WHO) standard showed that all the selected physico-chemical parameters were within the world health organization (WHO) permissible in both rainy and dry season except pH. For rainy season, the pH values were 5.00±0.00, 5.40 ±0.40, and 5.40± 0.30 for Imeh, Edegelem and Chokocho respectively. For the dry season, the pH values were 5.83± 0.01, 5.56±0.01, 5.90±0.01 for Imeh, Edegelem and Chokocho respectively. Also magnesium hardness exceeded the World Health Organization (WHO) permissible limit in rainy season only. The results of bacteriological study showed that all the sampling locations contained high numbers of coliform bacteria in both rainy and dry seasons. The number of coliform bacteria during rainy season was 25.00±0.00, 25.00±0.00, and 35.00±0.00 for Imeh, Edegelem and Chokocho respectively. Those of dry season were 93.00±3.55, 56.66±4.49, and 35.60±4.17 for Imeh, Edegelem and Chokocho respectively. The difference between the rainy and dry season was tested statistically using the t-test. The results of the statistical analyses showed a significant difference (p<0.05) between the rainy and dry seasons.

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The main aim of this study was to analyze evidence of an environmental Kuznets curve for water pollution in the developing and developed countries. The study was conducted based on a panel data set of 54 countries – that were categorized into six groups of “developed countries”, “developing countries”, “developed countries with low income”, “developed countries with high income” and “coastal countries”- between the years 1995 to 2006. The results do not confirm the inverted U-shape of EKC curve for the developed countries with low income. Based on the estimated turning points and the average GDP per capita, the study revealed at which point of the EKC the countries are. Furthermore, impacts of capital-and-labor ratio as well as trade openness are drawn by estimating different models for the EKC. The magnitude role of each explanatory variable on BOD was calculated by estimating the associated elasticity.