CAREER: Timely Estimation of Nitrogen Oxides Emissions for Improved Monitoring and Simulation of Atmospheric Chemical Processes

职业:及时估算氮氧化物排放,以改进大气化学过程的监测和模拟

基本信息

  • 批准号:
    2338758
  • 负责人:
  • 金额:
    $ 64.36万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-05-01 至 2029-04-30
  • 项目状态:
    未结题

项目摘要

This CAREER project has the goal of quantifying the emission sources of nitrogen oxides using new-generation satellite observations and applying an observation-based framework to other atmospheric species that are crucial for air quality and climate change. The framework developed through this project will harness a large volume of observational data from new-generation satellites and transform the data into advanced atmospheric chemistry knowledge that will help to monitor, simulate, and regulate air pollution and greenhouse gases.This project is focused on achieving a more efficient method for estimating pollutant emissions from satellite observations using the directional derivative approach (DDA). This research has following objectives: (1) Assess the accuracy and improve the theoretical understanding of the observation-based framework using well-defined atmospheric model simulations, (2) Validate and calibrate satellite-based nitrogen oxide (NOx) emissions by ground-truth observations, and (3) Streamline satellite-based NOx emissions for community applications and extend the emission estimation to species beyond NOx. An additional objective is to promote engagement in science and enhance awareness of air pollution and climate change through integrated education, outreach, and research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
CAREER项目的目标是利用新一代卫星观测量化氮氧化物的排放源,并将基于观测的框架应用于对空气质量和气候变化至关重要的其他大气物种。通过该项目开发的框架将利用新一代卫星的大量观测数据,并将数据转化为有助于监测、模拟和调节空气污染和温室气体的先进大气化学知识。该项目的重点是实现一种更有效的方法,利用方向导数方法(DDA)估算卫星观测的污染物排放量。 本研究有以下目标:(1)使用定义明确的大气模型模拟评估基于观测的框架的准确性并提高理论理解,(2)通过地面实况观测来验证和校准基于卫星的氮氧化物(NOx)排放,以及(3)简化基于卫星的NOx排放以用于社区应用并将排放估计扩展到NOx以外的物种。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Kang Sun其他文献

Tailoring interlayer spacing in MXene cathodes to boost the desalination performance of hybrid capacitive deionization systems
调整 MXene 阴极的层间距以提高混合电容去离子系统的海水淡化性能
  • DOI:
    10.1007/s12274-022-4491-3
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    9.9
  • 作者:
    Bei Li;Kang Sun;Wenyu Xu;Xiaojing Liu;Ao Wang;Steven Boles;Bin Xu;Haibo Hu;Dongrui Yao
  • 通讯作者:
    Dongrui Yao
Co@C,MnO-NAC via selective wrapping for effective oxygen electrocatalysis in rechargeable Zn–air batteries
Co@C,MnO-NAC 通过选择性包裹在可充电锌空气电池中实现有效的氧电催化
  • DOI:
    10.1039/d1se01744f
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wenshu Zhou;Yanyan Liu;Dichao Wu;Pengxiang Zhang;Gaoyue Zhang;Kang Sun;Baojun Li;Jianchun Jiang
  • 通讯作者:
    Jianchun Jiang
Metal complexes of folic acid for lithium ion storage
用于锂离子存储的叶酸金属配合物
  • DOI:
    10.1039/c8cc01234b
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    Fangqing Jiang;Haijun Je;Hongqin Li;Kang Sun;Jiao Yin;Hui Zhu
  • 通讯作者:
    Hui Zhu
P-band center theory guided activation of MoS2 basal S sites for pH-universal hydrogen evolution
P带中心理论指导激活MoS2基础S位点以实现pH通用析氢
  • DOI:
    10.1007/s12274-022-5287-1
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    9.9
  • 作者:
    Chao Meng;Yuanfeng Gao;Yue Zhou;Kang Sun;Yanmin Wang;Ye Han;Qianqian Zhao;Xuemin Chen;Han Hu;Mingbo Wu
  • 通讯作者:
    Mingbo Wu
Porous heterostructure of graphene/hexagonal boron nitride as an efficient electrocatalyst for hydrogen peroxide generation
石墨烯/六方氮化硼的多孔异质结构作为过氧化氢产生的高效电催化剂
  • DOI:
    10.1002/cey2.309
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    20.5
  • 作者:
    Mengmeng Fan;Zeming Wang;Yuying Zhao;Qixin Yuan;Jian Cui;Jithu Raj;Kang Sun;Ao Wang;Jingjie Wu;Hao Sun;Bei Li;Liang Wang;Jianchun Jiang
  • 通讯作者:
    Jianchun Jiang

Kang Sun的其他文献

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