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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

65
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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对于数据采集计划的PEST和AEM建模.

Charles McLane1

  • 1McLane Environmental, LLC, 707 Alexander Rd, Suite 206, Princeton, NJ, 08540, USA.

Ground water
|July 3, 2023
PubMed
概括

通过将PEST与分析元素方法 (AEM) 的地下水流模型相结合,可以开发出具有成本效益的现场数据收集程序. 这种方法优化了用于水文地质现场调查的数据收集,确保了准确性和效率.

科学领域:

  • 水文地质学 水文地质学
  • 环境科学 环境科学
  • 地质科学是地球科学.

背景情况:

  • 有效的现场数据收集对于水文地质调查至关重要.
  • 将数据充足度与成本效益相平衡是一个关键的挑战.
  • 传统方法可能耗时且昂贵.

研究的目的:

  • 为规划现场数据收集计划提供一个具有成本效益的方法.
  • 为了证明PEST与分析元素方法 (AEM) 的集成,地下水流模型.
  • 为了优化水文地质现场调查的设计.

主要方法:

  • 使用PEST (参数估计) 和简单分析元素方法 (AEM) 的组合进行地下水流模型.
  • 将综合方法应用于稳态流域模型.
  • 在一个短暂的抽试验项目上演示了该方法.

主要成果:

  • PEST-AEM 合提供了一种简单,低成本的数据收集计划方法.
  • AEM模型是快速开发和运行的,适合PEST代.
  • 该方法有效地识别了调查所需的数据类型和位置.

结论:

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  • 与简单的AEM模型相结合,PEST是规划水文地质调查的有效工具.
  • 这种综合方法降低了成本,并改善了数据收集策略.
  • 该方法适用于稳定状态和过渡地下水流动场景.