基于地面大气高光谱探测结果和人工神经网络模型的森林生态系统二氧化碳通量估算值

IF 0.9 Q4 OPTICS
A. P. Rozanov, I. V. Zadvornykh, K. G. Gribanov, V. I. Zakharov
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引用次数: 0

摘要

摘要 介绍了库洛夫卡乌拉尔大气站 2012-2022 年大气高光谱探测结果。结果表明,该地区大气中二氧化碳的平均增长速度约为每年 2.5 ppm。库洛夫卡碳站点附近的森林生态系统在生长季节(4 月至 9 月)单位面积从大气中吸收的二氧化碳量是用两种独立方法估算的。一种方法是基于使用地面高分辨率红外傅里叶光谱仪探测大气层获得的二氧化碳总柱数据。第二种方法基于使用 MODIS 卫星传感器光谱通道数据作为输入的人工神经网络。两种方法得出的结果具有很好的一致性:在 2022 年的生长季节,碳站点附近森林生态系统从大气中吸收的二氧化碳量,第一种方法为 ~1.5 吨/公顷,第二种方法为 ~1.3 吨/公顷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimates of Carbon Dioxide Flux into the Forest Ecosystem Based on Results of Ground-Based Hyperspectral Sounding of the Atmosphere and an Artificial Neural Network Model

Estimates of Carbon Dioxide Flux into the Forest Ecosystem Based on Results of Ground-Based Hyperspectral Sounding of the Atmosphere and an Artificial Neural Network Model

Estimates of Carbon Dioxide Flux into the Forest Ecosystem Based on Results of Ground-Based Hyperspectral Sounding of the Atmosphere and an Artificial Neural Network Model

The results of hyperspectral sounding of the atmosphere at the Ural Atmospheric Station in Kourovka from 2012–2022 are presented. It is shown that the average rate of carbon dioxide growth in the atmosphere of this region is about 2.5 ppm per year. The amount of carbon dioxide absorbed from the atmosphere by the forest ecosystem per unit area during the growing season (April–September) in the vicinity of the carbon site in Kourovka is estimated using two independent methods. One method is based on the data on the CO2 total column obtained from sounding the atmosphere with a ground-based high-resolution infrared Fourier spectrometer. The second method is based on the use of an artificial neural network with data from spectral channels of the MODIS satellite sensor as input. The results obtained by both methods have good agreement: the amount of CO2 absorbed from the atmosphere by the forest ecosystem in the vicinity of the carbon site during the growing season of 2022 is ~1.5 t/ha according to the first method and ~1.3 t/ha according to the second method.

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来源期刊
CiteScore
2.40
自引率
42.90%
发文量
84
期刊介绍: Atmospheric and Oceanic Optics  is an international peer reviewed journal that presents experimental and theoretical articles relevant to a wide range of problems of atmospheric and oceanic optics, ecology, and climate. The journal coverage includes: scattering and transfer of optical waves, spectroscopy of atmospheric gases, turbulent and nonlinear optical phenomena, adaptive optics, remote (ground-based, airborne, and spaceborne) sensing of the atmosphere and the surface, methods for solving of inverse problems, new equipment for optical investigations, development of computer programs and databases for optical studies. Thematic issues are devoted to the studies of atmospheric ozone, adaptive, nonlinear, and coherent optics, regional climate and environmental monitoring, and other subjects.
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