Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, China.
Sci Total Environ. 2017 Dec 31;609:1152-1160. doi: 10.1016/j.scitotenv.2017.07.240. Epub 2017 Aug 7.
The Hai River Basin (HRB), one of the most populated areas in China, is experiencing high NH emissions, mostly from agricultural sources, and suffering from strongly enhanced PM concentrations in all urban areas. Further population growth and urbanization projected until 2030 may exacerbate this situation. Here, the NUFER (NUtrient flows in Food chains, Environment and Resources use) and GAINS (Greenhouse gas - Air pollution Interactions and Synergies) models have been coupled for the first time to understand possible changes of agricultural NH emission between 2012 and 2030 and their impacts on ambient PM concentrations, and to explore options to improve this situation. Results show that agricultural ammonia emissions in the HRB were 1179kt NH in 2012, 45% of which was from the hotspots at or near conurbation areas, including Beijing-Tianjin, Tangshan-Qinhuangdao, Shijiazhuang-Baoding, Dezhou, Handan-Liaocheng, and Xinxiang. Without intervention, agricultural ammonia emissions will further increase by 33% by 2030. The impacts of several scenarios were tested with respect to air pollution. Compared to the business-as-usual scenario, a scenario of improved technology and management combined with human diet optimization could greatly reduce emission (by 60%), and lead to 22-43% and 9-24% decrease of the secondary inorganic aerosols and PM concentrations, respectively, in the hotspots of NH emissions. Our results further confirmed that ammonia control is needed for air pollution abatement strategies (SO, NO and primary PM reduction) to be effective in terms of PM.
海河流域(HRB)是中国人口最密集的地区之一,其 NH 排放量很高,主要来自农业源,所有城市地区的 PM 浓度都在强烈增加。预计到 2030 年,人口增长和城市化进程的进一步推进可能会加剧这种情况。在这里,NUFER(食物链中的养分流动、环境和资源利用)和 GAINS(温室气体-空气污染相互作用和协同作用)模型首次被耦合在一起,以了解 2012 年至 2030 年间农业 NH 排放可能发生的变化及其对环境 PM 浓度的影响,并探讨改善这种情况的选择方案。结果表明,2012 年海河流域的农业氨排放量为 1179kt NH,其中 45%来自于接近或位于城市群地区的热点地区,包括北京-天津、唐山-秦皇岛、石家庄-保定、德州、邯郸-聊城和新乡。如果不采取干预措施,到 2030 年,农业氨排放量将进一步增加 33%。针对空气污染,测试了几种情景的影响。与现状情景相比,改善技术和管理并结合人类饮食优化的情景可大大减少排放(减少 60%),并使热点地区的二次无机气溶胶和 PM 浓度分别降低 22-43%和 9-24%。我们的结果进一步证实,在 PM 方面,为了使 SO、NO 和初级 PM 减排等空气污染减排战略有效,需要控制氨。