Xu Xinyuan, Gu Haixin, Zhang Zihao, Liu Yantong, Zhang Lingling, Wang Junfeng, Chen Mindong, Huang Yu, Cao Junji, Lee Shun-Cheng, Li Haiwei, Ge Xinlei
Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, PR China.
Department of Environmental Engineering of Oulu School, Nanjing Institute of Technology, Nanjing 211167, PR China.
Environ Int. 2025 Jul;201:109596. doi: 10.1016/j.envint.2025.109596. Epub 2025 Jun 11.
Odor pollution presents a multi-scale challenge to global environmental governance, with significant gaps in measurement reliability, temporal mismatches between emission patterns and regulatory standards, and acknowledgment of the undervaluation of its associated health risks. Analytical data reveal that odor concentrations vary over three to four orders of magnitude across different emission sources. These discrepancies are exacerbated by inconsistencies in measurement protocols, which hinder the establishment of standardized regulatory benchmarks. At present, there are inherent uncertainties in human olfactory thresholds and variability in sensor responses. To address this, recent field studies in hybrid monitoring methodologies, integrating human sensory evaluation with instrumental analysis, have improved predictive accuracy by 30-50 %. Notably, municipal waste disposal facilities are identified as primary contributors to odor emissions, often exhibiting pronounced diurnal peaks. Monitoring data show that 65-80 % of landfills exceed permissible odor thresholds, correlating with odor complaints representing ∼30 % of urban environmental grievances.Health risk assessments further indicate that 15-25 % of industrial odor sources emit carcinogenic compounds exceeding the acceptable risk threshold(e.g., a lifetime cancer risk of 1 × 10), equating to at least one case per million exposed individuals. Despite this, fewer than 10 % of regulatory frameworks explicitly prioritize odor-related carcinogens,underscoringa critical disconnect between risk quantification and policy implementation. To address these gaps, this work advocates for the development of high-sensitivity sensor networks for real-time detection of trace-level odorants, establishment of health-based exposure limits for prioritized carcinogenic odorants, and implementation of predictive models to quantify the synergistic effects of odorant mixtures.
气味污染给全球环境治理带来了多尺度挑战,在测量可靠性方面存在重大差距,排放模式与监管标准之间存在时间错配,且对其相关健康风险的估值过低的问题也得到了承认。分析数据表明,不同排放源的气味浓度相差三到四个数量级。测量协议的不一致加剧了这些差异,阻碍了标准化监管基准的建立。目前,人类嗅觉阈值存在固有不确定性,传感器响应也存在变异性。为了解决这一问题,最近关于混合监测方法的实地研究将人类感官评估与仪器分析相结合,使预测准确率提高了30%-50%。值得注意的是,城市垃圾处理设施被确定为气味排放的主要来源,通常会出现明显的日峰值。监测数据显示,65%-80%的垃圾填埋场超过了允许的气味阈值,这与占城市环境投诉约30%的气味投诉相关。健康风险评估进一步表明,15%-25%的工业气味源排放的致癌化合物超过了可接受的风险阈值(例如,终生患癌风险为1×10),相当于每百万暴露个体中至少有一例。尽管如此,明确将与气味相关的致癌物列为优先事项的监管框架不到10%,这凸显了风险量化与政策实施之间的严重脱节。为了弥补这些差距,这项工作主张开发用于实时检测痕量气味剂的高灵敏度传感器网络,为优先致癌气味剂建立基于健康的暴露限值,并实施预测模型以量化气味剂混合物的协同效应。