首页> 外文会议>Continuous soil gas measurements: worst case risk parameters >The Utility of Continuous Monitoring in Detection and Prediction of 'Worst Case' Ground-Gas Concentrations
【24h】

The Utility of Continuous Monitoring in Detection and Prediction of 'Worst Case' Ground-Gas Concentrations

机译:连续监测在“最坏情况”地气浓度检测和预测中的实用性

获取原文
获取原文并翻译 | 示例

摘要

A primary requirement for understanding and predicting the behavior of complex systems is the ability to observe them. Observation contributes to understanding of processes and, therefore, the predictive power of physically based models but also provides calibration data vital for more empirical models. The heterogeneity in composition and large size of environmental systems makes their behavior complex, whilst the same factors make its representative observation difficult. Gas in the subsurface is a typical example of an environmental system, the predictability of which has been limited by insufficient observation. Traditionally due to the technology available these systems have been monitored using discrete measurements from which gas concentrations and migration potential are inferred. Unsurprisingly considering the nature of these systems this method of data collection frequently records highly variable regimes. Without understanding these variations large uncertainty on the data exists which propagates through to a conservative risk assessment based on the unquantified 'worst' concentration/flux observed during monitoring. Variations in soil gas concentrations are related to environmental parameters such as atmospheric pressure, subsurface pressure, temperature and water table. The recent development of technology which enables continuous soil gas monitoring that also records these parameters not only allows the variability in concentrations to be quantified and accounted for but also allows these relationships to be identified. Only after these relationships are identified is it possible to predict how gas/vapor regimes will change in the future. Using data collected from sites with varying wastes, contaminations, geologies and hydrologies the benefits of continuous data will be illustrated and novel techniques for risk assessment including concentration duration curves will be introduced. This will demonstrate that the availability of new monitoring methodology will play a part in repositioning both the legislative requirements and the cost-benefits of a more proactive approach.
机译:了解和预测复杂系统的行为的主要要求是观察它们的能力。观察有助于理解过程,因此有助于基于物理的模型的预测能力,还可以提供对更多经验模型至关重要的校准数据。组成的异质性和环境系统的规模很大,使它们的行为变得复杂,而相同的因素也使得其代表性观察变得困难。地下气体是环境系统的典型示例,其可预测性由于观测不足而受到限制。传统上,由于可用的技术,已使用离散测量对这些系统进行了监测,由此可以推断出气体浓度和迁移潜力。毫不奇怪的是,考虑到这些系统的性质,这种数据收集方法经常记录高度可变的体制。如果不了解这些变化,则数据存在很大的不确定性,这些不确定性会传播到基于监测期间未量化的“最差”浓度/流量的保守风险评估。土壤气体浓度的变化与环境参数有关,例如大气压力,地下压力,温度和地下水位。最新技术的发展使得能够进行连续的土壤气体监测,并记录这些参数,不仅可以量化和解释浓度的变化,还可以确定这些关系。只有在确定了这些关系之后,才有可能预测未来的气体/蒸汽状态将如何变化。使用从废物,污染,地质和水文变化不定的地点收集的数据,将说明连续数据的好处,并将介绍包括浓度持续时间曲线在内的风险评估新技术。这将表明,采用新的监测方法将在重新定位立法要求和采用更积极方法的成本效益方面发挥作用。

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