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Modeling Long Term Deposition of Ice in Lunar Permanently Shadowed Regions (PSRs) for the Purposes of Resource Prospecting

机译:用于资源勘探的长期沉积冰冰的长期沉积

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Recent discoveries of concentrated ice and volatiles in permanently shadowed regions (PSRs) on the Moon have raised questions as to the origin of said ice and volatiles, their diminishment over time, and the likelihood of their replenishment from outside the Moon by comets and meteors. Data from the Lunar Crater Observation and Sensing Satellite (LCROSS) and ISRO's Chandrayaan-1 satellite indicated substantial quantities of water ice, hydrocarbons, and other useful compounds in the PSRs. However, this finding takes on even greater significance in the light of recent modeling indicating that these resources would have sublimated into space over the course of the Moon's lifetime in the absence of replenishment from without. To model the latter and complete this picture, the authors have created a 3-D Monte Carlo simulation model of bombardment of the PSRs over time taking into account the PSR environment, diffusion of ice into lunar regolith, and current data regarding meteorite and comet composition, trajectory, and likely impact on the lunar surface over time. Partial verification of the model was performed using Chandrayaan-1 data, and additional comparison of the results was made to the LCROSS data. Over time and with further verification, this model could serve as a useful predictive tool for resource prospectors hoping to locate and harvest the ice, hydrocarbons, carbon dioxide, and other useful compounds in the PSRs, as well as to build preliminary lunar resource business plans and concepts of operation based on this model.
机译:最近在月球上永久阴影区域(PSRS)的集中冰和挥发物的发现已经提出了对所述冰和挥发物的起源,随着时间的推移的起源,以及他们通过彗星和流星从月球外部补充的可能性。来自月式火山口观察和传感卫星(LCROSS)和ISRO ChandRayaan-1卫星的数据表示大量的水冰,碳氢化合物和PSR中的其他有用的化合物。然而,根据最近的建模,这一发现提高了更大的意义,表明这些资源在月球寿命的过程中没有从没有补货的情况下升级到空间。为了模拟后者并完成这张照片,作者创造了一个3-D蒙特卡罗模拟PSR轰炸的轰炸,随着PSR环境,冰扩散到月球重新旋转,以及关于陨石和彗星组成的当前数据,轨迹和可能影响月球表面随着时间的推移。使用ChandRayaAN-1数据进行模型的部分验证,并对结果进行了额外的比较。随着时间的推移和进一步的验证,该模型可以作为资源潜在客户的有用预测工具,希望能够在PSR中定位和收获冰,碳氢化合物,二氧化碳和其他有用的化合物,以及建立初步农历业务计划基于此模型的操作概念。

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