Morandeira Natalia Soledad, Castesana Paula Soledad, Cardo María Victoria, Salomone Vanesa Natalia, Vadell María Victoria, Rubio Alejandra
Instituto de Investigación e Ingeniería Ambiental, UNSAM, CONICET, 3iA, Campus Miguelete, 25 de mayo and Francia, 1650, General San Martín, Provincia de Buenos Aires, Argentina.
Facultad Regional Buenos Aires, Universidad Tecnológica Nacional (UTN), Medrano 951, 1179, Ciudad Autónoma de Buenos Aires, Argentina.
Heliyon. 2019 Oct 24;5(10):e02555. doi: 10.1016/j.heliyon.2019.e02555. eCollection 2019 Oct.
Unplanned urbanization increases the exposure of people to environmental hazards. Within a landscape ecology framework, this study is a diagnosis of human health risk in San Martín, an urban district of Buenos Aires, Argentina. Risk was estimated by combining four hazard indexes (water and air pollution, and mosquito and rodent infestation) and a vulnerability index. Each index was obtained by integrating environmental and socio-demographic layers in a Geographic Information System. Spatial autocorrelation was assessed for each hazard, vulnerability and risk indexes using Moran's tests. Also, spatial associations between pairs of variables were addressed by means of Geographically Weighted Regressions. The robustness of hazard and vulnerability indexes was checked by a sensitivity analysis. In General San Martín district, 83.3% of the population is exposed to relatively high levels of at least one hazard; 7.4% is exposed to relatively high levels of all hazards (11.5% of the total area) and only 16.7% lives in areas of relatively low levels of all hazards (15.4% of the total area). Areas where hazard intensity was relatively high corresponded to those areas where the most vulnerable population lives, enhancing human health risk. The models for hazards and vulnerability were reasonably robust to changes in the weights of the variables considered. Our results highlight the spatially heterogeneous nature of human health risk in an urban landscape, and reveal the location of critical risk hotspots where reduction or mitigation actions should be focused.
无规划的城市化增加了人们暴露于环境危害中的风险。在景观生态学框架内,本研究对阿根廷布宜诺斯艾利斯市一个城区圣马丁的人类健康风险进行了诊断。通过综合四个危害指数(水和空气污染、蚊虫和啮齿动物滋生)以及一个脆弱性指数来估计风险。每个指数是通过在地理信息系统中整合环境和社会人口层面的数据而获得的。使用莫兰检验对每个危害、脆弱性和风险指数进行空间自相关评估。此外,通过地理加权回归分析变量对之间的空间关联。通过敏感性分析检验危害和脆弱性指数的稳健性。在圣马丁区总体上,83.3%的人口暴露于至少一种相对高水平的危害中;7.4%的人口暴露于所有危害的相对高水平(占总面积的11.5%),只有16.7%的人生活在所有危害水平相对较低的地区(占总面积的15.4%)。危害强度相对较高的地区与最脆弱人群居住的地区相对应,增加了人类健康风险。危害和脆弱性模型对于所考虑变量权重的变化具有合理的稳健性。我们的研究结果突出了城市景观中人类健康风险的空间异质性,并揭示了应重点采取减少或缓解行动的关键风险热点地区的位置。