利用空间预选和非平滑约束条件,从不同稀疏度的观测结果中重建大气放射性核素的稳健来源

IF 12.2 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Yuhan Xu , Xinwen Dong , Haoyuan Luo , Sheng Fang
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引用次数: 0

摘要

随着全球核能力增加两倍计划的实施,重建大气放射性核素的源位置和释放率对环境和人类健康变得越来越重要。然而,这种重建容易受到不现实的解决办法的影响,因为它是不合理的。本研究提出了一种时空约束的重建方法,该方法排除了错误的估计,达到了较高的精度。它使用Spearman相关系数来约束空间搜索范围,并在该范围内应用L2成本函数来检索源位置。利用这个位置,在非光滑约束下估计时变释放率,同时重建峰值释放并消除不现实的振荡。对现场实验和实际事件的验证表明,该方法有效地排除了错误的源位置。与L2成本函数法、Pearson-correlation-constrained L2成本函数法和Bayesian方法相比,该方法估计的位置与报告资源的距离分别接近96.27%、98.31%和96.48%。估计的释放率与报告的时间窗口和总量相匹配,避免了其他估计方法中不切实际的振荡。在不同的站点布局和站点数量下,该方法的性能和速度都优于L2成本函数法。此外,它可以改进其他方法使用不同的成本函数,表明其潜在的各种应用。环境影响大气放射性核素释放源重建对环境和人类健康越来越重要,因为泄漏风险持续存在,而且在宣布全球核能力增加两倍之后需求增加。我们提出了一种时空约束的重建方法,该方法自适应地排除了真实事件重建中长期存在的错误源位置和不切实际的时间变化问题,并在不同观测稀疏度和不同站点布局的场景下实现了鲁棒性。此外,所提出的方法可以改进现有的方法,特别是在观测有限的情况下,从而代表了基于放射性示踪剂的全球放射性监测和环境过程调查的通用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robust source reconstruction of atmospheric radionuclides from observations of different sparsity with spatial preselection and non-smooth constraints

Robust source reconstruction of atmospheric radionuclides from observations of different sparsity with spatial preselection and non-smooth constraints
As the global-nuclear-capacity-tripling plan is implemented, reconstruction of the source locations and release rates of atmospheric radionuclides becomes increasingly important for the environment and human health. However, such reconstruction is vulnerable to unrealistic solutions because it is ill-posed. This study proposed a spatiotemporally constrained reconstruction method that excludes false estimates and achieves high accuracy. It uses the Spearman’s correlation coefficient to constrain the spatial search range and applies the L2 cost-function within this range to retrieve the source location. Using this location, time-varying release rates are estimated with non-smooth constraints, which simultaneously reconstructs the peak releases and removes unrealistic oscillations. Validation against both field experiments and real-world events demonstrated that this method effectively excludes false source locations. The estimated location is up to 96.27 %, 98.31 %, and 96.48 % closer to the reported sources than those of the L2 cost-function, Pearson-correlation-constrained L2 cost-function, and Bayesian methods, respectively. The estimated release rates matched the reported time windows and total amounts, avoiding the unrealistic oscillations in other estimation methods. The proposed method exhibited superior performance and speed over the L2 cost-function method under different station layouts and numbers. Furthermore, it could improve other methods using different cost functions, indicating its potential for various applications.
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来源期刊
Journal of Hazardous Materials
Journal of Hazardous Materials 工程技术-工程:环境
CiteScore
25.40
自引率
5.90%
发文量
3059
审稿时长
58 days
期刊介绍: The Journal of Hazardous Materials serves as a global platform for promoting cutting-edge research in the field of Environmental Science and Engineering. Our publication features a wide range of articles, including full-length research papers, review articles, and perspectives, with the aim of enhancing our understanding of the dangers and risks associated with various materials concerning public health and the environment. It is important to note that the term "environmental contaminants" refers specifically to substances that pose hazardous effects through contamination, while excluding those that do not have such impacts on the environment or human health. Moreover, we emphasize the distinction between wastes and hazardous materials in order to provide further clarity on the scope of the journal. We have a keen interest in exploring specific compounds and microbial agents that have adverse effects on the environment.
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