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沿海城市氮流模拟——以 2015 年厦门为例。

Modeling nitrogen flow in a coastal city-A case study of Xiamen in 2015.

机构信息

Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; Xiamen Key Lab of Urban Metabolism, Xiamen 361021, China.

Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Xiamen Key Lab of Urban Metabolism, Xiamen 361021, China.

出版信息

Sci Total Environ. 2020 Sep 15;735:139294. doi: 10.1016/j.scitotenv.2020.139294. Epub 2020 May 8.

Abstract

Coastal cities, most of them experiencing growing population and rapid urbanization, are facing reactive nitrogen (Nr) pollution crisis and are considered as Nr hotspots worldwide. Increased human activities generate drastic effects on the nitrogen (N) flows of coastal cities. Nevertheless, the N flows of coastal cities are not clearly understood, and the existing city-scale N flow models cannot depict the detailed N flows in coastal cities. Here, we developed a NItrogen MOdel for COastal ciTy (NIMOCOT) which includes four processes and 14 subsystems and used the Material Flow Analysis (MFA) method to model detailed N flows by taking Xiamen as a case study. The results showed that total N inputs to and outputs from Xiamen in 2015 were 403.8 and 201.7 Gg respectively, with half of total N inputs accumulated in the city. The top two N inputs were N embodied in nonfood goods consumption by households and fossil fuel combustion, accounting for 48.5% and 38.5% of total N inputs to Xiamen respectively. After city internal consumption, 109.5 Gg NOx were emitted mainly from energy and industrial subsystems, accounting for 93.2% of total gaseous Nr emissions to the atmosphere. In the typical coastal city, shipping contributed to 34.0% of the total gaseous Nr emissions to the atmosphere in the transportation sector, ranked after highway (58.0%). Moreover, the largest Nr contributor to the hydrosphere came from riparian import (56.0%) which has a significant impact on the hydrosphere of Xiamen. Our results indicated that enhancing the remove ratio of NOx emissions during fossil fuel consumption, and strengthening watershed managements to low riparian N imports from upstream will be useful for reducing N contaminants in environment of Xiamen, and NIMOCOT model is suitable for tracking the key N pollutant sources and could help to make decisions on cutting associate pollutants in coastal cities.

摘要

沿海城市大多面临着人口增长和快速城市化带来的反应性氮(Nr)污染危机,被认为是全球 Nr 热点地区。人类活动的增加对沿海城市的氮(N)流动产生了巨大影响。然而,沿海城市的 N 流动情况并不清楚,现有的城市规模 N 流动模型无法描述沿海城市的详细 N 流动情况。在这里,我们开发了一个氮模型用于沿海城市(NIMOCOT),它包括四个过程和 14 个子系统,并使用物质流分析(MFA)方法通过以厦门为例来模拟详细的 N 流动情况。结果表明,2015 年厦门的 N 总输入和输出分别为 403.8 和 201.7 克,其中一半的 N 总输入积累在城市中。N 的前两个输入是家庭非食品消费和化石燃料燃烧所包含的 N,分别占厦门总 N 输入的 48.5%和 38.5%。在城市内部消耗之后,109.5 克氮氧化物主要从能源和工业子系统排放到大气中,占总气态 Nr 排放量到大气的 93.2%。在典型的沿海城市中,航运在交通运输部门对大气总气态 Nr 排放量的贡献为 34.0%,仅次于公路(58.0%)。此外,对水圈贡献最大的 Nr 来自河岸输入(56.0%),这对厦门的水圈有重大影响。我们的结果表明,提高化石燃料消耗过程中氮氧化物排放的去除率,加强流域管理,减少上游河岸输入的氮,可以减少厦门环境中的 N 污染物,NIMOCOT 模型适合跟踪关键的 N 污染物源,并有助于在沿海城市做出削减相关污染物的决策。

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