Khan Nasreen Islam, Owens Gary, Bruce David, Naidu Ravi
Centre for Risk Assessment and Remediation (CERAR), University of South Australia, Mawson Lakes, SA, Australia.
Environ Geochem Health. 2009 Apr;31 Suppl 1:143-66. doi: 10.1007/s10653-008-9240-3. Epub 2009 Jan 27.
Groundwater contaminated with arsenic (As), when extensively used for irrigation, causes potentially long term detrimental effects to the landscape. Such contamination can also directly affect human health when irrigated crops are primarily used for human consumption. Therefore, a large number of humans are potentially at risk worldwide due to daily As exposure. Numerous previous studies have been severely limited by small sample sizes which are not reliably extrapolated to large populations or landscapes. Human As exposure and risk assessment are no longer simple assessments limited to a few food samples from a small area. The focus of more recent studies has been to perform risk assessment at the landscape level involving the use of biomarkers to identify and quantify appropriate health problems and large surveys of human dietary patterns, supported by analytical testing of food, to quantify exposure. This approach generates large amounts of data from a wide variety of sources and geographic information system (GIS) techniques have been used widely to integrate the various spatial, demographic, social, field, and laboratory measured datasets. With the current worldwide shift in emphasis from qualitative to quantitative risk assessment, it is likely that future research efforts will be directed towards the integration of GIS, statistics, chemistry, and other dynamic models within a common platform to quantify human health risk at the landscape level. In this paper we review the present and likely future trends of human As exposure and GIS application in risk assessment at the landscape level.
被砷污染的地下水在广泛用于灌溉时,会对景观造成潜在的长期不利影响。当灌溉作物主要供人类食用时,这种污染还会直接影响人类健康。因此,由于每天接触砷,全球大量人口可能面临风险。先前的许多研究因样本量小而受到严重限制,这些样本量无法可靠地外推到大量人口或大面积区域。人类砷暴露和风险评估不再是局限于小区域内少数食物样本的简单评估。最近研究的重点是在景观层面进行风险评估,包括使用生物标志物来识别和量化适当的健康问题,以及对人类饮食模式进行大规模调查,并辅以食物分析检测来量化暴露情况。这种方法从各种各样的来源生成大量数据,地理信息系统(GIS)技术已被广泛用于整合各种空间、人口、社会、实地和实验室测量的数据集。随着目前全球重点从定性风险评估转向定量风险评估,未来的研究工作可能会朝着在一个通用平台内整合GIS、统计学、化学和其他动态模型的方向发展,以量化景观层面的人类健康风险。在本文中,我们综述了人类砷暴露以及GIS在景观层面风险评估中的应用现状和未来可能的趋势。