Distribution characteristics of hydrogen elements on lunar surface based on CE2-GRS data

LI Yonghui; ZHAO Jiankun; JIANG Shuang; WANG Feiliang; WU Hexi; LIU Yibao

doi:10.11889/j.0253-3219.2023.hjs.46.120201

He jishu (Dec 2023)

Distribution characteristics of hydrogen elements on lunar surface based on CE2-GRS data

LI Yonghui,
ZHAO Jiankun,
JIANG Shuang,
WANG Feiliang,
WU Hexi,
LIU Yibao

Affiliations

LI Yonghui: Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering Technology, East China University of Technology, Nanchang 330013, China
ZHAO Jiankun: Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering Technology, East China University of Technology, Nanchang 330013, China
JIANG Shuang: Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering Technology, East China University of Technology, Nanchang 330013, China
WANG Feiliang: Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering Technology, East China University of Technology, Nanchang 330013, China
WU Hexi: Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering Technology, East China University of Technology, Nanchang 330013, China
LIU Yibao: Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering Technology, East China University of Technology, Nanchang 330013, China

DOI: https://doi.org/10.11889/j.0253-3219.2023.hjs.46.120201
Journal volume & issue: Vol. 46, no. 12
pp. 120201 – 120201

Abstract

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BackgroundWater is the primary resource required for the exploitation of lunar resources. Investigating the distribution of water on the surface of the moon has become a focal point in the lunar exploration plans of several nations.PurposeThis study aims to quantify the presence of hydrogen and analyze its spatial distribution on the lunar surface using data from the Chang'E-2 gamma-ray spectrometer (CE2-GRS).MethodsFirstly, an analytical method combining branch specific stripping with the nonlinear least-square fitting Gaussian function was proposed to subtract the characteristic γ rays of interfering nuclides ([email protected] MeV, [email protected] MeV, [email protected] MeV) ranging from 2.1 MeV to 2.5 MeV. Then, a characteristic function between the abundance and counts of aluminum γ rays around the moon was established to subtract the counts of aluminum in the mixed peak. Finally, the spatial distribution of hydrogen γ rays for counts per 3 s on the whole lunar surface was obtained.ResultsThe analysis results show that high-value characteristics exhibited in some areas, including the Aiken basin, Mare Ingenii, Mare Imbrium, and Oceanus Procellarum, are approximately 2.6 times the average value of hydrogen counts among the 14 major maria. Comparison between the distribution characteristics of hydrogen elements on the lunar surface and the data of epithermal neutrons from Lunar Prospector (LP) reveals a highly negative correlation between the distribution characteristics of the two in these regions.ConclusionsThe distribution characteristics of hydrogen elements on the lunar surface further predict that there may be a large amount of structural water in the Mare Ingenii, Mare Imbrium, and Oceanus Procellarum, formed by the combination of hydroxyl groups or molecular hydrogen (H2), achieving a better understanding of the orbit γ deep mining and scientific application of energy spectrum data.

Published in He jishu

ISSN: 0253-3219 (Print)
Publisher: Science Press
Country of publisher: China
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Nuclear engineering. Atomic power
Website: https://www.hjs.sinap.ac.cn/

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