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相关概念视频

The Carbon Cycle01:14

The Carbon Cycle

Carbon is the basis of all organic matter on Earth, and is recycled through the ecosystem in two primary processes: one in which carbon is exchanged among living organisms, and one in which carbon is cycled over long periods of time through fossilized organic remains, weathering of rocks, and volcanic activity. Human activities, including increased agricultural practices and the burning of fossil fuels, has greatly affected the balance of the natural carbon cycle.
Flame Photometry: Overview01:02

Flame Photometry: Overview

Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
Flame Photometry: Lab01:16

Flame Photometry: Lab

In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...

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相关实验视频

Updated: Jul 23, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
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基于夜间照明数据的月度网格碳排放模型.

Ruxing Wan1, Shuangyue Qian2, Jianhui Ruan2

  • 1School of Economics and Management, Beijing University of Chemical Technology, Beijing, 100029, China.

Journal of environmental management
|February 16, 2024
PubMed
概括

这项研究使用夜间照明数据为广东开发了一个高分辨率的每月碳排放 (CE) 清单. 结果显示,CE不平等性正在减少,CE与GDP之间的反向U形关系,为减排政策提供了洞察力.

关键词:
反向传播的神经网络.碳排放 碳排放 碳排放影响因子的影响因子每个月的网格化.夜光照明 在夜间照明空间自相关性 空间自相关性

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科学领域:

  • 环境科学 环境科学
  • 地理空间分析是什么
  • 气候变化研究 气候变化研究

背景情况:

  • 现有的碳排放 (CE) 库存通常是每年一次的,并且缺乏有效制定政策所需的时空分辨率.
  • 准确的,高分辨率的CE数据对于理解区域差异和月度趋势至关重要,以告知减排战略.
  • 广东省是一个主要的经济和人口中心,在管理其碳排放方面面临重大挑战.

研究的目的:

  • 通过使用夜间照明数据,开发一个高分辨率 (1公里×1公里) 的月度碳排放清单.
  • 评估2013年至2022年广东省CE的时空变化和影响因素.
  • 为其他地区提供适用于高时空分辨率CE评估的方法框架.

主要方法:

  • 利用夜间照明 (NTL) 数据,统计数据和土地使用数据来构建CE库存.
  • 采用反向传播的神经网络来开发高分辨率的每月CE库存.
  • 应用空间自相关性和空间计量经济学模型来分析CE的时空变化和影响因素.

主要成果:

  • 广东的碳排放量从2013年到2022年呈现不稳定的增长,高排放量集中在珍珠河三角洲地区.
  • 在城市和县两级,CE的不平等程度显著下降,全球Moran's I.的下降表明了这一点.
  • 观察到CE和国内生产总值 (GDP) 之间的反向U形关系,以及工业结构对CE的显著积极影响.

结论:

  • 开发的高分辨率的每月CE库存为空间和时间评估排放提供了一个新的视角.
  • 这些发现支持广东地区CE的环境库兹内茨曲线的存在.
  • 该方法和库存可以帮助制定有针对性的,特定于区域和每个月的减排政策.