首页> 外文会议>International Conference on Environmental Systems >Simple mathematical models for estimating the bio-contamination transported from a lander or a rover to the Martian soil
【24h】

Simple mathematical models for estimating the bio-contamination transported from a lander or a rover to the Martian soil

机译:用于估算从着陆器或流动站运输到火星土壤的生物污染的简单数学模型

获取原文

摘要

To enable reliable in situ, or sample return, life detection missions, it is critical that Mars missions be free of any biological materials that originated from Earth and could contaminate samples collected for analysis. Therefore, it is important that likely cross-contamination mechanisms be thoroughly studied and understood. Three simple models have been developed to estimate the maximum soil contamination that could originate from a bio-contaminated lander. All three models estimate the ground contamination concentrations at various distances from the lander. The first model estimates the ground concentration if the microorganisms covered the soil 360*? around the lander. The second model uses a steady state Gaussian plume to transport the microorganisms from the Lander. The third model determines the ground contamination level from an instantaneous Gaussian puff release, probably at the time of landing. Input to the models includes the total spacecraft (s/c) contamination level, the height of the lander, the size distribution of the particles and their microbial burden, the fraction of the total contamination that is removed, the wind speed, and the diffusivities of the plumes. The results are given for input data available from old studies performed at the Kennedy Space Center. More realistic data are now being obtained at JPL.
机译:为了实现可靠的原位,或样品返回,救生检测任务,MARS任务不含任何源自地球的生物材料至关重要,可以污染收集的样品进行分析。因此,很重要的是彻底研究和理解跨污染机制。已经开发了三种简单的模型来估计可能来自生物污染着陆器的最大土壤污染。所有三种型号均估计着陆器的各个距离处的地面污染浓度。如果微生物覆盖土壤360 *,第一模型估计地面浓度*在着陆器周围。第二种模型使用稳态高斯羽流,从陆地运输微生物。第三种模型决定了从瞬时高斯泡芙释放的地面污染水平,可能在着陆时。输入到模型包括总宇宙飞船(S / C)污染水平,着陆器的高度时,颗粒的尺寸分布和它们的微生物负荷,被去除的总污染,风速度的分数,和扩散率羽毛。结果是在肯尼迪航天中心进行的旧研究中提供的输入数据。现在正在获得更现实的数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号