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基于《政府间气候变化专门委员会(IPCC)排放因子》,不同景观河流表面一氧化二氮(NO)浓度和通量的时空变化、控制因素及其影响

Surface nitrous oxide (NO) concentrations and fluxes from different rivers draining contrasting landscapes: Spatio-temporal variability, controls, and implications based on IPCC emission factor.

机构信息

Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.

Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.

出版信息

Environ Pollut. 2020 Aug;263(Pt A):114457. doi: 10.1016/j.envpol.2020.114457. Epub 2020 Mar 29.

DOI:10.1016/j.envpol.2020.114457
PMID:32247923
Abstract

Increasing indirect nitrous oxide (NO) emission from river networks as a result of enhanced human activities on landscapes has become a global issue, as NO has been widely recognized as an important ozone-depleting greenhouse gas. However, indirect NO emissions from different rivers, particularly for those that drain completely different landscapes, are poorly understood. Here, we investigated the spatial-temporal variability of NO emissions among the different rivers in the Chaohu Lake Basin of Eastern China. Our results showed that river reaches in urban watersheds are the hotspots of NO production, with a mean NO concentration of ∼410 nmol L, which is 9-18 times greater than those mainly draining forested (23 nmol L), agricultural (42 nmol L) and mixed (45 nmol L) landscapes. Riverine dissolved NO was generally supersaturated with respect to the atmosphere. Such NO saturation can best be explained by nitrogen availability, except for those in the forested watersheds, where dissolved oxygen is thought to be the primary predictor. The estimated NO fluxes in urban rivers reached ∼471 μmol m d, a value of ∼22, 13, and 11 times that in forested, agricultural and mixed watersheds, respectively. Averaged riverine NO emission factors (EF) of the forested, agricultural, urban and mixed watersheds were 0.066%, 0.12%, 0.95% and 0.16%, respectively, showing different deviations from the default EF that released by IPCC in 2019. This points to a need for more field measurements with wider spatial coverage and finer frequency to further refine the EF and to better reveal the mechanisms behind indirect NO emissions as influenced by watershed landscapes.

摘要

由于人类活动对景观的影响,河流网络中间接产生的一氧化二氮(NO)排放不断增加,这已成为一个全球性问题,因为一氧化二氮已被广泛认为是一种重要的消耗臭氧温室气体。然而,不同河流的间接 NO 排放,特别是那些完全不同景观的河流,仍了解甚少。在这里,我们调查了中国东部巢湖流域不同河流之间的 NO 排放的时空变化。结果表明,城市流域的河流河段是产生 NO 的热点,其平均 NO 浓度约为 410 nmol L,是主要流经森林(23 nmol L)、农业(42 nmol L)和混合(45 nmol L)景观的河流的 9-18 倍。河流溶解态 NO 通常对大气过饱和。除了那些森林流域,认为溶解氧是主要预测因素外,NO 饱和最好可以用氮的可利用性来解释。城市河流中的估计 NO 通量达到约 471 μmol m d,分别是森林、农业和混合流域的 22、13 和 11 倍。森林、农业、城市和混合流域的平均河流 NO 排放因子(EF)分别为 0.066%、0.12%、0.95%和 0.16%,与 2019 年 IPCC 发布的默认 EF 有不同程度的偏差。这表明需要进行更多具有更广泛空间覆盖和更精细频率的野外测量,以进一步细化 EF,并更好地揭示流域景观影响下间接 NO 排放的机制。

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