Guan Chengxuan, Liu Minxia, Shi Jianyang, Li Yu
College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070, China.
Environ Monit Assess. 2025 Mar 17;197(4):414. doi: 10.1007/s10661-025-13846-5.
O and precursor pollution in the Shaanxi-Gansu-Ningxia region of China is becoming increasingly severe, and the regional pollution characteristics are also more prominent. To investigate the causes of O and NO pollution and the health impacts of O, the spatial and temporal heterogeneity of O and NO pollution and the health and economic losses in the Shaanxi-Gansu-Ningxia region were analyzed by using a detector with optimal parameters and the BenMAP (Environmental Benefits Mapping and Analysis Program-community Edition) model. The results show that O in the troposphere of Shaanxi, Gansu, and Ningxia showed a "bimodal" distribution from 2005 to 2022, reaching a maximum value of 32.6 DU in 2010, and the change of NO increased first and then decreased in the troposphere, reaching a peak value of 5.2 × 10 molec·cm in 2011. The seasonal variations of O and NO were the highest in winter, the second highest in spring and fall, and the lowest in summer. The high-value area of O was mainly located in the northwest of Gansu. The concentration gradually decreased from northwest to southeast. In contrast, the high-value area of NO was concentrated in the east of Guanzhong Plain and the north of Yulin City, and the overall distribution was high in the east and low in the west. Among the interactions of the nine factors, the interactions of temperature and wind speed, precipitation and wind speed had the highest explanatory power for O changes, with 0.951 and 0.96, respectively, and the interactions of temperature and wind speed, and precipitation and sunshine hours had the highest explanatory power for NO changes, with 0.834 and 0.844, respectively; the interactions among pollutants were weaker than the interactions among meteorological factors. Cardiovascular disease is the leading cause of premature death in the population. The number of premature deaths in the three provinces gradually decreases from 2018 to 2020, and the proportion of health economic loss to GDP also gradually decreases, from 1.55%, 0.82%, and 3.99% to 0.2%, 0.34%, and 2.86%, respectively. This study can provide theoretical references for the control and health impacts of O and NO in Shaanxi, Gansu, and Ningxia regions of China.
中国陕甘宁地区的臭氧及其前体物污染日益严重,区域污染特征也愈发突出。为探究臭氧和氮氧化物污染成因以及臭氧对健康的影响,利用参数优化后的探测器和BenMAP(环境效益映射与分析程序社区版)模型,分析了陕甘宁地区臭氧和氮氧化物污染的时空异质性以及健康和经济损失。结果表明,2005年至2022年,陕西、甘肃和宁夏对流层臭氧呈“双峰”分布,2010年达到最大值32.6多布森单位,氮氧化物在对流层的变化先增加后减少,2011年达到峰值5.2×10分子·厘米。臭氧和氮氧化物的季节变化冬季最高,春秋季次之,夏季最低。臭氧高值区主要位于甘肃西北部,浓度由西北向东南逐渐降低。相比之下,氮氧化物高值区集中在关中平原东部和榆林市北部,总体分布东高西低。在九个因素的相互作用中,温度与风速、降水与风速的相互作用对臭氧变化的解释力最高,分别为0.951和0.96,温度与风速、降水与日照时数的相互作用对氮氧化物变化的解释力最高,分别为0.834和0.844;污染物之间的相互作用弱于气象因素之间的相互作用。心血管疾病是该地区人群过早死亡的主要原因。三省过早死亡人数从2018年到2020年逐渐减少,健康经济损失占GDP的比例也逐渐下降,分别从1.55%、0.82%和3.99%降至0.2%、0.34%和2.86%。本研究可为中国陕甘宁地区臭氧和氮氧化物的控制及其对健康的影响提供理论参考。