PubMed · 5177992
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G Cleveland. 1966. Nursing in Jordan.. https://pubmed.ncbi.nlm.nih.gov/5177992/
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The City of Amman, Jordan, has been subjected to persistent increase in road traffic due to overall increase in prosperity, fast development and expansion of economy, travel and tourism. This study investigates traffic noise pollution in Amman. Road traffic noise index L10(1 h) was measured at 28 locations that cover most of the City of Amman. Noise measurements were carried out at these 28 locations two times a day for a period of one hour during the early morning and early evening rush hours, in the presence and absence of a barrier. The Calculation of Road Traffic Noise (CRTN) prediction model was employed to predict noise levels at the locations chosen for the study. Data required for the model include traffic volume, speed, percentage of heavy vehicles, road surface, gradient, obstructions, distance, noise path, intervening ground, effect of shielding, and angle of view. The results of the investigation showed that the minimum and the maximum noise levels are 46 dB(A) and 81 dB(A) during day-time and 58 dB(A) and 71 dB(A) during night-time. The measured noise level exceeded the 62 dB(A) acceptable limit at most of the locations. The CTRN prediction model was successful in predicting noise levels at most of the locations chosen for this investigation, with more accurate predictions for night-time measurements.
Four different potable water types: tap water, desalinated water in private plants, homes filtrated and sealed bottled water were collected from four provinces in Jordan and analyzed for various physiochemical parameters and trace metals content. The results showed that quality of potable water varied depending on many factors such as: water quality at source, types of purification system, and the storage methods. None of the analysed parameters exceeded the national and international guideline for potable water except Nickel (Ni). The maximum concentration of Ni was found in tap water which can be attributed as network distribution system and metal storage tanks influences. The highest levels of salinity was evident in tap water. Potable water produced at homes using different types of purification systems indicated lowest levels of salinity. Minor variations in physiochemical parameters and trace metal contents were found between local and imported bottled water brands.
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