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1.
Environ Monit Assess ; 191(1): 36, 2018 Dec 28.
Artículo en Inglés | MEDLINE | ID: mdl-30593609

RESUMEN

A study was carried out on four tributaries of Gilgel Gibe Reservoir to identify water physicochemical characteristics in different land use categories (farmland, naturally vegetated land, and settlement). Water samples were collected from 12 sampling sites along four permanent streams flowing into Gilgel Gibe Reservoir. Data sets were evaluated using nonparametric statistical techniques. Dissolved oxygen (DO), temperature, biochemical oxygen demand (BOD5), total phosphorus (TP), soluble reactive phosphorus (SRP), total nitrogen (TN), turbidity, total dissolved solids (TDS), and total suspended solids (TSS) spatially showed significant differences in the wet season and DO, temperature, and BOD5 varied significantly during the dry season. When excluding DO, electrical conductivity (EC), and TP during the wet and dry seasons, the remaining variables showed significant differences. During the wet season, concentrations of most water quality parameters were greatest in influents from agricultural land. Pollution and eutrophication risk is closely associated with drainage from agricultural land, requiring that emphasis and priorities be given to land use management and conservation.


Asunto(s)
Agricultura , Monitoreo del Ambiente/métodos , Eutrofización , Ríos/química , Calidad del Agua , África Oriental , Análisis de la Demanda Biológica de Oxígeno , Humanos , Nitrógeno/análisis , Oxígeno/análisis , Fósforo/análisis , Estaciones del Año , Temperatura , Contaminantes Químicos del Agua/análisis
2.
Environ Monit Assess ; 190(3): 163, 2018 Feb 22.
Artículo en Inglés | MEDLINE | ID: mdl-29470719

RESUMEN

This research investigated the spatiotemporal variation of water quality in the Gilgel Gibe reservoir, Ethiopia, using physicochemical water quality parameters. Nonparametric tests and multivariate statistical techniques were used to evaluate data sets measured during dry and rainy seasons. Electrical conductivity (EC), pH, biochemical oxygen demand (BOD5), total phosphorus (TP), total nitrogen (TN), nitrate (NO3-), total dissolved solids (TDSs), and total suspended solids (TSSs) were all significantly different among seasons (Mann-Whitney U test, p < 0.01). In addition, principal component analysis distinguished dry season samples from wet season samples. The dry season was positively associated with EC, pH, TP, TN, NO3-, TDS, and TSS and negatively associated with BOD5. The wet season was in contrast associated with high values of turbidity, soluble reactive phosphorus (SRP), water temperature, and dissolved oxygen (DO). Within the reservoir, spatial variation was observed for some of the water quality parameters, with significant difference at p = < 0.05. Overall, high nutrient concentrations suggest eutrophic conditions, likely due to high nutrient loading from the watershed. Levels of TSS, attributed to inputs from tributaries, have been excessive enough to inhibit light penetration and thus have a considerable impact on the aquatic food web. Our findings indicate that the reservoir is at high risk of eutrophication and siltation, and hence, urgent action should target the planning and implementation of integrated watershed management for this and similar reservoirs in the region.


Asunto(s)
Monitoreo del Ambiente/métodos , Contaminantes Químicos del Agua/análisis , Contaminación del Agua/estadística & datos numéricos , Análisis de la Demanda Biológica de Oxígeno , Etiopía , Eutrofización , Nitrógeno/análisis , Oxígeno/análisis , Fósforo/análisis , Análisis de Componente Principal , Estaciones del Año , Calidad del Agua
3.
J Ethnobiol Ethnomed ; 9(1): 68, 2013 Sep 25.
Artículo en Inglés | MEDLINE | ID: mdl-24295044

RESUMEN

BACKGROUND: This paper reports an ethnobotanical study that focused on the traditional medicinal plants used by local communities to treat human and livestock ailments. A cross-sectional study was undertaken from September 2009 to June 2010 in Wayu Tuka District of Oromia Region, Ethiopia. The aim of the study is to document medicinal plants used by local people of the study area and the threats currently affecting medicinal plants. METHODS: Ethnobotanical data were collected using semi-structured interviews, field observations and group discussion in which 63 (41 men & 22 women) randomly selected informants participated. Of which, 11 (10 male and 1 female) were local healers. Paired comparison method, direct matrix ranking and Informant consensus factors (ICF) were used to analyze the importance of some plant species. RESULTS: A total of 126 medicinal plant species, distributed in 108 genera and 56 families, were collected together with their medicinal uses. Of the 126 species of medicinal plants collected from the study area, eighty six (68%) were obtained from the wild whereas thirty three (26%) were from homegardens. The Fabaceae came out as a leading family with 15 medicinal species while the Solanaceae followed with eight species. Seventy eight (62%) of the medicinal plants were reported as being used for treating human ailments, 23 (18.2%) for the treatment of livestock ailments and 25 (20%) for both. The most frequently used plant parts were leaves (43%), followed by roots (18.5%) while crushing, which accounted for (29%) and powdering (28%) were the widely used methods of preparation of traditional herbal medicines. CONCLUSION: The number of reported medicinal plants and their uses by the local people of the District indicate the depth of the local indigenous knowledge on medicinal plants and their application. The documented medicinal plants can serve as a basis for future investigation of modern drug.


Asunto(s)
Etnobotánica , Fitoterapia , Plantas Medicinales , Adulto , Anciano , Anciano de 80 o más Años , Animales , Estudios Transversales , Etiopía , Femenino , Humanos , Conocimiento , Masculino , Medicinas Tradicionales Africanas , Persona de Mediana Edad , Plantas Medicinales/clasificación
4.
Environ Monit Assess ; 184(11): 7053-63, 2012 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-22160475

RESUMEN

Although waste from coffee processing is a valuable resource to make biogas, compost, and nutrient-rich animal food, it is usually dumped into nearby water courses. We carried out water quality assessment at 44 sampling sites along 18 rivers that receive untreated waste from 23 coffee pulping and processing plants in Jimma Zone, Ethiopia. Twenty upstream sampling sites free from coffee waste impact served as control, and 24 downstream sampling sites affected by coffee waste were selected for comparison. Physicochemical and biological results revealed a significant river water quality deterioration as a result of disposing untreated coffee waste into running water courses. During coffee-processing (wet) season, the highest organic load (1,900 mg/l), measured as biochemical oxygen demand, depleted dissolved oxygen (DO) to a level less than 0.01 mg/l, and thus curtailed nitrification. During off season, oxygen started to recuperate and augmented nitrification. The shift from significantly elevated organic load and reduced DO in the wet season to increased nitrate in the off season was found to be the determining factor for the difference in macroinvertebrate community structure as verified by ordination analysis. Macroinvertebrate diversity was significantly reduced in impacted sites during the wet season contrary to the off season. However, there was a significant difference in the ratio of sensitive to pollution-tolerant taxa in the off season, which remained depreciated in the longer term. This study highlights the urgency of research exploring on the feasibility of adopting appropriate pollution abatement technologies to implement ecologically sound coffee-processing systems in coffee-growing regions of Ethiopia.


Asunto(s)
Agricultura/métodos , Café/crecimiento & desarrollo , Conservación de los Recursos Naturales/métodos , Eliminación de Residuos/métodos , Ríos/química , Contaminantes Químicos del Agua/análisis , Calidad del Agua/normas , Etiopía , Estaciones del Año , Contaminación Química del Agua/prevención & control , Contaminación Química del Agua/estadística & datos numéricos
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