Ever-increasing heavy metal accumulation in the urban environment of Guangzhou, the largest light industrial production base and one of the most rapidly developing cities in China, poses a serious threat to environment as well as to human health in the region. As a sink or source, urban deposits are good indicators of the level and extent of heavy metal accumulation in the surface environment. The aim of this preliminary study was to examine the distribution of heavy metal contamination in the urban environment of Guangzhou. It was based on a systematic sampling of road dusts and corresponding gully sediments along major roads running mainly through commercial and residential to industrial districts of the city. In addition to road dusts and gully sediments, ceiling dusts from the Pearl River Tunnel were also collected to characterize anthropogenic emissions dominated by traffic-related activities. In general, the level of Cd, Cu, Pb and Zn contaminations were more severe on the industrialized side of Guangzhou than on the western side where heavy traffic and industrial activities were limited. The primary determinants of the level of heavy metal contamination and the distribution of this contamination in the urban environment of Guangzhou were the site-specific conditions of its urban setting, particularly the types of industries, the nature of the traffic flow, sample residence times and variations in grain size of the particulate contaminants. This study highlights the complexity of the urban system and indicates that in just such a system individual urban components should be interlinked to assess the long-term environmental and health effects of heavy metal contamination. Among the heavy metals tested – Cd, Cu, Pb and Zn – the level of Zn contamination was the most severe and widespread, and thus requires immediate attention. 相似文献
Objective: It is estimated that road traffic accidents are globally responsible for approximately 1.2 million deaths and 20 to 50 million injuries. About 70% of traffic incidences (TIs) occur in developing countries and among countries with high TI rates; Iran is the first. The aim of this study was to measure the association between being responsible for a traffic accident and some vehicle, human; and environmental related factors in Yasuj, a city with a high incidence of road traffic injuries and deaths in Iran.
Methods: This is a time-, date-, and place-matched case–control study conducted in 2015 using all traffic accidents registered and investigated by police during 2012. In total, 194 drivers were considered the at-fault driver in a traffic accident and the 194 drivers in the same collisions were included in the analysis.
Results: Based on the results from multivariate conditional logistic regression, significant associations between vehicle maneuver (ORTurn to right or left/Moving forward = 11.10, 95% confidence interval [CI], 1.77–69.58, P = .01) and age (odds ratio [OR] = 1.11, 95% CI, 1.004–1.22, P = .04) and the chance of being an at-fault driver were found.
Conclusion: Driver behavior–related interventions including training and law enforcement seem to be more effective in reducing road traffic accidents in Iran. 相似文献
A study of the pedestrian casualties and fatalities in road traffic crashes in Durban, a South African municipality, for 1999 was undertaken using official road traffic accident data. The pedestrians age 25 to 44, although only 23.9% of the population, were 39.3% of the casualties and 48.2% of the fatalities. The most vulnerable pedestrians were those 30 to 34 years old who were 6.1% of the population, 11.7% of the casualties, and 14.6% of the fatalities; 35- to 39-year-olds who were 6% of the population, 8.8% of the casualties, and 13.5% of the fatalities; and the 40- to 44-year-olds who were 4.9% of the population, 7.5% of the casualties, and 10.2% of the fatalities. Cars were involved in 52% of the vehicle-pedestrian crashes but had fewer crashes than minibuses and buses, and fewer casualties and fatalities than minibuses, buses, and motorcycles. Minibuses recorded the most crashes at 1,037 per 100 million km, the highest casualty rate of 268 per 100 million km, and highest fatality rate of 17 per 100 million km. Buses, which were involved in 3% of the vehicle-pedestrian crashes, had 951 crashes per 100 million km, 182 casualties per 100 million km, and 11 fatalities per 100 million km. Motorcycles were involved in 1% of the vehicle-pedestrian crashes and had per 100 million km 508 crashes, 192 casualties, and 7 fatalities. There was no statistically significant difference in the monthly distribution of the road traffic crashes. 相似文献