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Global distribution of regolith layer thickness (m) constructed from lunar surface DEM: (a) nearside, (b) farside.

Global distribution of regolith layer thickness (m) constructed from lunar surface DEM: (a) nearside, (b) farside.

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Helium-3 (3He) implanted by solar wind in the lunar regolith is a valuable resource because of its potential as a fusion fuel. On the basis of the Apollo regolith samples, a linear relationship between 3He abundance and solar wind flux, optical maturity and TiO2 content has been presented. China successfully launched its first lunar exploration sat...

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... carry out a simulation of brightness temperature observation, we first construct the regolith layer thickness, as a priori knowledge, from DEM (digital elevation mapping) of lunar surface empirically based on correspondence between the lunar regolith layer thickness and the lunar surface altitude. The result is shown as Fig. 9 ( Fa and Jin, 2007). It can be seen that the average difference on the lunar nearside between Fig. 9 and Shkuratov's results (Shkuratov and Bondarenko, 2001) is as small as 1.4 m. However, a flaw in this explicit assumption might be seen from the South PoleAitken Basin, which is an old basin with the lowest elevation, but a thicker ...
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... the regolith layer thickness, as a priori knowledge, from DEM (digital elevation mapping) of lunar surface empirically based on correspondence between the lunar regolith layer thickness and the lunar surface altitude. The result is shown as Fig. 9 ( Fa and Jin, 2007). It can be seen that the average difference on the lunar nearside between Fig. 9 and Shkuratov's results (Shkuratov and Bondarenko, 2001) is as small as 1.4 m. However, a flaw in this explicit assumption might be seen from the South PoleAitken Basin, which is an old basin with the lowest elevation, but a thicker regolith layer. However, this small area does not affect the methodology to initiate our simulation of ...
Context 3
... but a thicker regolith layer. However, this small area does not affect the methodology to initiate our simulation of brightness temperature. In fact, as real observations of brightness temperature become available in the future, inversion of the regolith layer thickness is extracted from the observation, Eq. (7), not related to our assumptions in Fig. ...

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... An upper limit of the global inventory of solar wind-implanted volatiles can therefore be estimated if a uniform depth distribution of solar wind volatiles within the regolith is assumed. For example, using the regolith thickness estimated from China's Chang'E-1 microwave radiometer (4.5 m over maria and 7.6 m over nonpolar highlands regions), the global inventory of 3 He was estimated as being 1.70×10 9 kg (8.64×10 8 kg over the nearside, and 8.33×10 8 kg over the farside) for a uniform depth distribution (Fa and Jin 2010b). Total inventories of other solar wind-derived volatiles can be estimated in a similar way, and would be expected to be between two to three orders of magnitude higher. ...
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... or the first time, the microwave radiometer (MRM) onboard Chang'e (CE)-1/2 satellites measured the brightness temperature (TB) of the regolith on the Moon in orbit, which provides a fourth new way to assess the surface deposits in addition to the commonly-used optical, thermal infrared (TIR), and radar data. The MRM data have been applied to investigate the various features and parameters of the regolith, including regolith thickness [1], [2], 3 He abundance distributions [1], [2], dielectric properties [2]- [7], geological units [8]- [10], and rock abundances [11]- [13]. These findings hold fundamental importance for enhancing our understanding of the Moon's thermal and basaltic evolutions. ...
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The Moon serves as an attic to the Earth’s treasure by preserving the volatile repository from the harsh space environment. The exposure of the lunar surface to the solar wind plasma results in the implantation of potential 3He into the top 1 mm of the regolith. The retention of the 3He primarily depends on the regional ilmenite content and maturation subject to the solar wind plasma supply. In the present research, an attempt is made to explore the influence of petrophysical properties of the regolith on the retained 3He using multisensor approach. The retention framework is improved by incorporating the associated effects of space weathering on the regolith materials, which are represented by spectral parameters. The integration of the spectral parameters, plasma flux, and ilmenite content leads to a novel hybrid variable that is directly compared with the in-situ 3He measurements at the Apollo and Luna landing sites. Considering the independence of the space weathering processes, the correlation analysis suggests that the predicted 3He contents are in close agreement with the actual abundance. However, all the weathering processes lead to the reduction of Fe2+ into the nanophase metallic iron particles, thereby interrelating to each other. The applicability of the weighted average linear combination is utilized to model the unknown inherent relationship between the weathering trends. Upon comparing with the in-situ 3He, the RMSE reduces to 1.17 ppb compared to the independent approach. The empirical relationship is applied to the Vallis Schroteri region, wherein the high 3He abundant regions emerge out to be pyroclastic deposits and localized hotspots near the primary rille and Agricola Mountains. It is also observed that the two dominant processes governing the abundance are attenuation of the mafic absorption band depths and reddening of the soil. However, a different scenario all together appears for the 3He abundance per unit area, wherein the soil chemistry proves to be a deciding factor. The spatial variability of the 3He abundant regolith is found to be aligned with the episodic space weathering events over the geological timescale, clearly indicated by the cyclic behaviour of the variogram trends. Moreover, the highly retained 3He content may be oriented at around 135º relative to other directions. The lower cutoff and width increases the spatial variability of the deposition. The retention of the 3He is found to be associated with the petrophysical properties of the soil. This is clearly illustrated by comparing the retrieved scattering mechanisms, dielectric content, and geotechnical variations. In the research, the utility of the radar backscatter is modelled as a function of incidence angle, dielectric constant and surface roughness. The sensitivity analysis is performed, which provides the bounding limits of the realistic surface parameters and radar configuration. This is fed into the multilayer perceptron neural network for performing the inversion based on multivariate regression. The inverted dielectric constant shows an RMSE of 0.26. The retrieval process is applied to the monostatic data of the landing sites, wherein the inverted values are in close agreement with the actual values. Upon testing the study site, the pyroclastic regoliths are associated with high dielectric constant and increased surface scattering mechanisms. The regolith is also characterized by lower void spaces between the grains and higher relative density. Due to the freshly formed microcraters, the excavation of the rocks from the interior lowers the penetration of the radar wave, thereby increasing the granular packing of the gardened regolith. As the dielectric contrast increases, the retention of the lower 3He ejecta regolith increases, attributing to the roughness variations. The observation is also aligned with the CPR. Moreover, the abundance is negatively correlated with the void ratio for shorter lag distances. On the contrary, the higher abundant pyroclastic regolith relates well with the surface scattering mechanisms associated with cyclicity. An opposition is also observed in this to the bistatic angle with a more significant exponential depth profile. Furthermore, retention modelling provides new insights into the potential mining operations for the lunar outposts. The study recommends deeper exploration of the pyroclastic regoliths, thereby contributing to the lunar mining and remote sensing paradigms.