• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

城郊农业增加了氮水平,但减少了农业-城市梯度河流中的间接 NO 排放。

Suburban agriculture increased N levels but decreased indirect NO emissions in an agricultural-urban gradient river.

机构信息

State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China.

State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.

出版信息

Water Res. 2022 Jul 15;220:118639. doi: 10.1016/j.watres.2022.118639. Epub 2022 May 21.

DOI:10.1016/j.watres.2022.118639
PMID:35640505
Abstract

The effects of land use on riverine NO emissions are not well understood, especially in suburban zones between urban and rural with distinct anthropogenic perturbations. Here, we investigated in situ riverine NO emissions among suburban, urban, and rural sections of a typical agricultural-urban gradient river, the Qinhuai River of Southeastern China from June 2010 to September 2012. Our results showed that suburban agriculture greatly increased riverine N concentration compared to traditional agricultural rivers (TAR). The mean total dissolved nitrogen (TDN) concentration was 8.18 mg N L in the suburban agricultural rivers (SUAR), which was almost the same as that in the urban rivers (UR, of 8.50 mg N L), compared to that in TAR (0.92 mg N L). However, the annual average indirect NO flux from the SUAR was only 27.15 μg NO-N m h, which was slightly higher than that from the TAR (13.14 μg NO-N m h) but much lower than that from the UR (131.10 μg NO-N m h). Moreover, the average NO emission factor (EF, NO-N/DIN-N) in the SUAR (0.0002) was significantly lower than those in the TAR (0.0028) and UR (0.0004). The limited indirect NO fluxes from the SUAR are best explained by the high riverine dissolved organic carbon (DOC) and low dissolved oxygen, which probably reduced the denitrification source NO by favoring complete denitrification to produce N and inhibited the nitrification source NO, respectively. An exponential decrease model incorporating dissolved inorganic nitrogen and DOC could greatly improve our EF predictions in the agricultural-urban gradient river. Given the unprecedented suburban agriculture in the world, more studies in suburban agricultural rivers are needed to further refine the EF and better reveal the mechanisms behind indirect NO emissions as influenced by suburban agriculture.

摘要

土地利用对河流硝酸盐排放的影响尚不清楚,特别是在城乡之间具有明显人为干扰的郊区地带。在这里,我们调查了中国东南部典型农业-城市梯度河流秦淮河的郊区、城市和农村河段的原位河流硝酸盐排放。结果表明,与传统农业河流(TAR)相比,郊区农业大大增加了河流中的氮浓度。郊区农业河流(SUAR)的总溶解氮(TDN)平均浓度为 8.18mgNL,与城市河流(UR,8.50mgNL)相当,而 TAR 则为 0.92mgNL。然而,SUAR 的年平均间接 NO 通量仅为 27.15μgNO-Nm h,略高于 TAR(13.14μgNO-Nm h),但远低于 UR(131.10μgNO-Nm h)。此外,SUAR 的平均 NO 排放因子(EF,NO-N/DIN-N)(0.0002)明显低于 TAR(0.0028)和 UR(0.0004)。SUAR 中有限的间接 NO 通量可以通过高河流溶解有机碳(DOC)和低溶解氧来很好地解释,这可能通过促进完全反硝化来减少硝酸盐还原源 NO 产生 N,并分别抑制硝化源 NO。结合溶解无机氮和 DOC 的指数递减模型可以大大提高我们在农业-城市梯度河流中的 EF 预测。鉴于世界上前所未有的郊区农业,需要对郊区农业河流进行更多的研究,以进一步细化 EF,并更好地揭示郊区农业对间接 NO 排放的影响背后的机制。

相似文献

1
Suburban agriculture increased N levels but decreased indirect NO emissions in an agricultural-urban gradient river.城郊农业增加了氮水平,但减少了农业-城市梯度河流中的间接 NO 排放。
Water Res. 2022 Jul 15;220:118639. doi: 10.1016/j.watres.2022.118639. Epub 2022 May 21.
2
Effects of land use on the concentration and emission of nitrous oxide in nitrogen-enriched rivers.土地利用对富营养化河流中一氧化二氮浓度和排放的影响。
Environ Pollut. 2018 Jul;238:379-388. doi: 10.1016/j.envpol.2018.03.043. Epub 2018 Mar 22.
3
Surface nitrous oxide (NO) concentrations and fluxes from different rivers draining contrasting landscapes: Spatio-temporal variability, controls, and implications based on IPCC emission factor.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
Environ Pollut. 2020 Aug;263(Pt A):114457. doi: 10.1016/j.envpol.2020.114457. Epub 2020 Mar 29.
4
Drainage ditches are significant sources of indirect NO emissions regulated by available carbon to nitrogen substrates in salt-affected farmlands.排水沟是受盐碱化农田中有效碳氮底物调控的间接一氧化氮排放的重要来源。
Water Res. 2024 Mar 1;251:121164. doi: 10.1016/j.watres.2024.121164. Epub 2024 Jan 17.
5
Denitrification regulates spatiotemporal pattern of NO emission in an interconnected urban river-lake network.反硝化作用调节连通城市河湖网络中 NO 排放的时空格局。
Water Res. 2024 Mar 1;251:121144. doi: 10.1016/j.watres.2024.121144. Epub 2024 Jan 15.
6
Indirect nitrous oxide emission factors of fluvial networks can be predicted by dissolved organic carbon and nitrate from local to global scales.从局部到全球尺度,河网的间接一氧化二氮排放因子可以通过溶解有机碳和硝酸盐来预测。
Glob Chang Biol. 2022 Dec;28(24):7270-7285. doi: 10.1111/gcb.16458. Epub 2022 Oct 10.
7
Distinctive Microbial Processes and Controlling Factors Related to Indirect NO Emission from Agricultural and Urban Rivers in Taihu Watershed.太湖流域农业和城市河流间接一氧化氮排放相关的独特微生物过程及控制因素
Environ Sci Technol. 2022 Apr 5;56(7):4642-4654. doi: 10.1021/acs.est.1c07980. Epub 2022 Mar 10.
8
Surface nitrous oxide concentrations and fluxes from water bodies of the agricultural watershed in Eastern China.中国东部农业流域水体表面氧化亚氮浓度和通量。
Environ Pollut. 2019 Aug;251:185-192. doi: 10.1016/j.envpol.2019.04.076. Epub 2019 Apr 22.
9
Modeling Riverine NO Sources, Fates, and Emission Factors in a Typical River Network of Eastern China.建立中国东部典型河网的河流 NO 来源、归宿和排放因子模型。
Environ Sci Technol. 2021 Oct 5;55(19):13356-13365. doi: 10.1021/acs.est.1c01301. Epub 2021 Sep 14.
10
[Estimation of Nitrous Oxide Emission from River System Based on Water Discharge and Dissolved Nitrous Oxide Concentration].基于河流流量和溶解氧化亚氮浓度估算河流系统氧化亚氮排放量
Huan Jing Ke Xue. 2022 Jan 8;43(1):369-376. doi: 10.13227/j.hjkx.202105005.