Collaborative Research: The missing anthropogenic N - assessing denitrification at the watershed scale
合作研究:缺失的人为氮 - 评估流域尺度的反硝化作用
基本信息
- 批准号:0919141
- 负责人:
- 金额:$ 37.29万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-01 至 2013-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Lakes, estuaries, and coastal marine waters throughout the world have been degraded by over-enrichment with plant nutrients such as nitrogen (N) that cause algal blooms, and eventually deplete dissolved oxygen. Nitrogen exports to aquatic ecosystems have been increased by agricultural runoff, sewage discharges, and air pollution. Studies of these nitrogen sources have found less N exported by rivers than is expected from the amount of N added to the the rivers by human activities. The N that does not enter rivers is either stored within the watersheds as soil or plant materials or converted to N gases by the microbial process of denitrification and lost to the atmosphere. A better understanding of the fate of N in ecosystems would help manage N pollution, but N storage and denitrification have never been adequately measured within an entire watershed. Building on previous research, this project will apply new methods to assess denitrification in agricultural watersheds. Denitrification consumes nitrate, the main form of N exported from N-enriched watersheds, and produces dinitrogen (N2) and nitrous oxide (N2O) gases. The project will measure accumulations of N2 and N2O gases in groundwater and soils, and changes in the isotopic composition of nitrate that are indicative of denitrification. The study will identify locations within watersheds where denitrification is hypothesized to have high rates, primarily in damp areas such as stream buffers and wetlands. The NSF-funded project will collaborate with a USDA-funded project in assisting farmers to select better agricultural practices by supplying information on areas with high denitrification potential for capturing N lost from croplands. Knowing the fate of agricultural N will help improve the management of the Choptank River watershed and other basins. The research efforts will also include participation of local high school, undergraduate, and graduate students.
该奖项由2009年《美国复苏和再投资法案》(公法111-5)资助。世界各地的湖泊、河口和沿海海域由于过度富含氮(N)等植物营养物质而退化,这些营养物质会导致藻类水华,并最终耗尽溶解氧。农业径流、污水排放和空气污染增加了对水生生态系统的氮出口。对这些氮源的研究发现,河流输出的氮比人类活动增加到河流中的氮量预期的要少。没有进入河流的N要么作为土壤或植物材料储存在流域内,要么通过反硝化的微生物过程转化为N气体并流失到大气中。更好地了解氮在生态系统中的去向将有助于管理氮污染,但从来没有在整个流域内充分衡量氮的储存和反硝化作用。在以往研究的基础上,该项目将应用新的方法来评估农业流域的反硝化作用。反硝化作用消耗硝酸盐,硝酸盐是富氮流域输出的氮的主要形式,并产生氮素(N2)和一氧化二氮(N2O)气体。该项目将测量地下水和土壤中氮气和N2O气体的累积,以及指示反硝化作用的硝酸盐同位素组成的变化。这项研究将确定流域内假设反硝化率较高的地点,主要是在河流缓冲区和湿地等潮湿地区。NSF资助的项目将与美国农业部资助的一个项目合作,通过提供有关具有高反硝化潜力的地区的信息来帮助农民选择更好的农业措施,以捕获农田中流失的氮。了解农业氮素的命运将有助于改善对乔普坦克河流域和其他流域的管理。研究工作还将包括当地高中、本科生和研究生的参与。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Thomas Jordan其他文献
Biomass and nutrient dynamics in restored wetlands on the outer coastal plain of Maryland, USA
- DOI:
10.1672/0277-5212(2002)022[0562:bandir]2.0.co;2 - 发表时间:
2002-09-01 - 期刊:
- 影响因子:2.000
- 作者:
Dennis Whigham;Mary Pittek;Kirsten H. Hofmockel;Thomas Jordan;Antoinette L. Pepin - 通讯作者:
Antoinette L. Pepin
Numerical and experimental investigations of hydrogen-air-steam deflagration in two connected compartments with initial turbulent flow
- DOI:
10.1016/j.psep.2024.01.101 - 发表时间:
2024-04-01 - 期刊:
- 影响因子:
- 作者:
Fangnian Wang;Jianjun Xiao;Sanjeev Gupta;Martin Freitag;Mike Kuznetsov;Shengchao Rui;Shangyong Zhou;Thomas Jordan - 通讯作者:
Thomas Jordan
The implementation of SNB monetary policy
- DOI:
10.1007/s11408-009-0118-x - 发表时间:
2009-10-13 - 期刊:
- 影响因子:1.800
- 作者:
Thomas Jordan;Angelo Ranaldo;Paul Söderlind - 通讯作者:
Paul Söderlind
(2016). Fourier transforms of Gibbs measures for the Gauss map. Mathematische Annalen
(2016)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Thomas Jordan;Tuomas Sahlsten - 通讯作者:
Tuomas Sahlsten
Numerical study of external explosion in vented hydrogen explosions
- DOI:
10.1016/j.psep.2024.09.022 - 发表时间:
2024-11-01 - 期刊:
- 影响因子:
- 作者:
Shengchao Rui;Jianjun Xiao;Changjian Wang;Fangnian Wang;Mike Kuznetsov;Thomas Jordan - 通讯作者:
Thomas Jordan
Thomas Jordan的其他文献
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{{ truncateString('Thomas Jordan', 18)}}的其他基金
REU Site: Undergraduate Studies in Earthquake Information Technology (SCEC/UseIT)
REU 网站:地震信息技术本科生研究 (SCEC/UseIT)
- 批准号:
1659880 - 财政年份:2017
- 资助金额:
$ 37.29万 - 项目类别:
Standard Grant
Community Computational Platforms for Developing Three-Dimensional Models of Earth Structure, Phase II
用于开发地球结构三维模型的社区计算平台,第二阶段
- 批准号:
1349180 - 财政年份:2014
- 资助金额:
$ 37.29万 - 项目类别:
Continuing Grant
Extending the Spatiotemporal Scales of Physics-Based Seismic Hazard Analysis
扩展基于物理的地震灾害分析的时空尺度
- 批准号:
1440085 - 财政年份:2014
- 资助金额:
$ 37.29万 - 项目类别:
Standard Grant
REU Site: Undergraduate Studies in Earthquake Information Technology (SCEC/UseIT)
REU 网站:地震信息技术本科生研究 (SCEC/UseIT)
- 批准号:
1263272 - 财政年份:2013
- 资助金额:
$ 37.29万 - 项目类别:
Continuing Grant
Community Computational Platforms for Developing Three-Dimensional Models of Earth Structure
用于开发地球结构三维模型的社区计算平台
- 批准号:
1226343 - 财政年份:2012
- 资助金额:
$ 37.29万 - 项目类别:
Continuing Grant
SI2-SSI: A Sustainable Community Software Framework for Petascale Earthquake Modeling
SI2-SSI:用于千万亿次地震建模的可持续社区软件框架
- 批准号:
1148493 - 财政年份:2012
- 资助金额:
$ 37.29万 - 项目类别:
Standard Grant
The Southern California Earthquake Center, Phase 4 (SCEC4): Tracking Earthquake Cascades
南加州地震中心第 4 阶段 (SCEC4):跟踪地震级联
- 批准号:
1033462 - 财政年份:2012
- 资助金额:
$ 37.29万 - 项目类别:
Cooperative Agreement
RAPID: Real-Time Investigations of the Tohoku and Darfield Earthquake Sequences
RAPID:东北和达菲尔德地震序列的实时调查
- 批准号:
1136469 - 财政年份:2011
- 资助金额:
$ 37.29万 - 项目类别:
Standard Grant
Geoinformatics: A Petascale Cyberfacility for Physics-Based Seismic Hazard Analysis (SCEC PetaSHA3 Project)
地理信息学:用于基于物理的地震灾害分析的 Petascale 网络设施(SCEC PetaSHA3 项目)
- 批准号:
0949443 - 财政年份:2010
- 资助金额:
$ 37.29万 - 项目类别:
Continuing Grant
REU Site: SCEC Undergraduate Studies in Earthquake Information Technology (SCEC/UseIT)
REU 网站:SCEC 地震信息技术本科生研究 (SCEC/UseIT)
- 批准号:
1005235 - 财政年份:2010
- 资助金额:
$ 37.29万 - 项目类别:
Continuing Grant
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