黄翌，男，1985年10月生，2014年博士毕业，2018年评为副教授。
研究方向：老龄健康地理、气候变化和人口老龄化的交叉研究。
发表论文（一作、通讯）：
SCI论文（*表示通讯作者，#表示第一作者）：
Huang, Y.*#, Mao, F.#, Xu, Y., Qi, J., Zhang, W., Li, C., Zhou, M.*, 2025. Association between urban heat islands and heat-related mortality in 70 pairs of adjacent urban-rural counties among 8 topographic regions in China. Sustainable Cities and Society 121, 106182. https://doi.org/10.1016/j.scs.2025.106182中科院一区TOP
Huang, Y.*, Li, C., Liu, D.L., Yang, J.*, 2023. Projection of temperature-related mortality among the elderly under advanced aging and climate change scenario. npj Clim Atmos Sci 6, 153. https://doi.org/10.1038/s41612-023-00487-z中科院一区TOP
Huang, Y. *#, Zhang, W.#, Mao, F., Qi, J., Zhou, M.*, 2025. Evaluation of low-temperature-related net mortality in southern urban China during the central-heating period in northern urban China. Urban Climate 62, 102504. https://doi.org/10.1016/j.uclim.2025.102504中科院二区
Huang, Y.*, Yang, J., Chen, J., Shi, H., Lu, X., 2022. Association between ambient temperature and age-specific mortality from the elderly: Epidemiological evidence from the Chinese prefecture with most serious aging. Environmental Research 211, 113103. https://doi.org/10.1016/j.envres.2022.113103中科院二区
Huang, Y. *#, Zhang, W.#, Mao, F., Qi, J., Li, C., Zhou, M.*, 2025. Urban-rural disparity of low-temperature-related mortality from northernmost to southernmost regions in China. Int J Biometeorol. https://doi.org/10.1007/s00484-025-02991-8
Huang, Y. *, Li, C., Lu, X., Wang, Y., 2023. The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China. Geospat Health 18. https://doi.org/10.4081/gh.2023.1180
Huang, Y., Shi, H., Liu, X., Lu, X., Zhang, J.*, 2022. Analysis of Climate and Income-Related Factors for High Regional Child Drowning Mortality in China. Int J Public Health 67, 1604882. https://doi.org/10.3389/ijph.2022.1604882
Huang, Y.*, 2021. Is centenarian rate independent from economy? Archives of Gerontology and Geriatrics 93, 104312. https://doi.org/10.1016/j.archger.2020.104312
Huang, Y.*, Rosenberg, M., Wang, Y., 2018. Is extreme climate or moderate climate more conducive to longevity in China? Int J Biometeorol 62, 971–977. https://doi.org/10.1007/s00484-018-1499-1
Huang, Y.*, Rosenberg, M., Hou, L., Hu, M., 2017. Relationships among Environment, Climate, and Longevity in China. IJERPH 14, 1195. https://doi.org/10.3390/ijerph14101195
Huang, Y.*, Mark Jacquez, G., 2017. Identification of a Blue Zone in a Typical Chinese Longevity Region. IJERPH 14, 571. https://doi.org/10.3390/ijerph14060571
Wang, Y., Huang, Y.*, Li, C., 2023. The Effects of Air Pollutants on Mortality in the Elderly at Different Ages: A Case of the Prefecture with Most Serious Aging in China. Sustainability 15, 15821. https://doi.org/10.3390/su152215821
Wang, M., Huang, Y.*, Song, Y., Chen, J., Liu, X., 2021. Study on Environmental and Lifestyle Factors for the North–South Differential of Cardiovascular Disease in China. Front. Public Health 9, 615152. https://doi.org/10.3389/fpubh.2021.615152
中文论文：
黄翌*. 非适宜气温和PM2.5及其协同作用对不同年龄段老年人死亡的影响.气象学报，2022.80(3) :460-473.
黄翌*,李陈,王悦,中国人口老龄化进程及其经济动因的区域差异.地域研究与开发,2023, 42(5):167–173.
黄翌*,卢显晶,刘潇潇,施沪静.中国地市尺度老龄化直接影响因素的贡献差异研究.地域研究与开发,2022, 41(1):156–161.
黄翌*,卢显晶,王晗.南通市连续三次人口普查老龄化率位居全国第一的原因、趋势、对策及对其他地区的启示.老龄科学研究,2023,11(1):44-55.
黄翌*.乡村人口长寿还是城市人口长寿？老龄科学研究,2019,7(1):72–79.
黄翌*.长寿地区判别方法综合评价与适用性.中国老年学杂志,2019,39(15):3840–3846.
黄翌*,宋彦欣,王欣怡,邱尉雲.长江口乡镇人口长寿的遗传、行为和环境因素统计研究.304永利集团官网入口学报（自然科学版）, 2019, 18(2): 57-62.
黄翌*,张慧芳.长寿之乡——江苏省如皋市长寿现象的空间集聚效应.中国老年学杂志,2016,36(5):1181–1183.
黄翌*.“长寿之乡”成因研究述评与展望.中国老年学杂志,2015,35(7):1977–1981.
王梦琦,黄翌*,卢显晶,等.2014~2019年中国PM2.5浓度及与老年心脑血管疾病归因死亡的时空分析.中国老年学杂志,2023,43(6):88-92.
王梦琦,施沪静,张双萍,宋彦欣,黄翌*.江苏省县域人口长寿水平空间差异与成因探索.地理空间信息, 2022,20(1):70-74.
邱尉雲,宋彦欣,黄翌*,王晗.气温对老年人口死亡比例与长寿的影响研究.老龄科学研究,2020,8(4):34–44.
胡梦瑾,黄翌*,陈丽玥,邱尉雲.中国344个城市人口老龄化主导因素及地区分异.中国老年学杂志,2019,39(10):2528–2532.
徐正,黄翌*,胡梦瑾.基于长寿人口血缘亲属寿命及居迁轨迹的长寿成因初探.老龄科学研究,2019,7(4):61–68.
侯伶俐,黄翌*,陈丽玥,邱尉雲.基于老龄人口累积死亡比例法的省级尺度长寿水平评估.现代农业科技, 2018, 47(15): 244-245.
