综合建模框架(FVCOM-ICM/Toxi)模拟多氯联苯在城市河口的命运和迁移——以华盛顿州普吉特湾为例

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2024-11-30 DOI:10.1016/j.ecolmodel.2024.110959
Lakshitha Premathilake , Tarang Khangaonkar , James West , Sandra O'Neill , Louisa Harding , C. Andrew James , Sukyong Yun , Kevin Bogue
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引用次数: 0

摘要

普吉特海湾是一个城市河口,显示持久性多氯联苯(多氯联苯)污染,尽管多年的补救努力。为了采取强有力的管理措施,由于复杂的水循环和生物地球化学过程,仅使用现场数据确定PCB加载源和运输途径的时间、位置和大小是具有挑战性的。本研究旨在建立一个综合建模框架,将复杂的河口环流与生物地球化学过程以及与多氯联苯动力学相关的相互作用耦合起来。该模型模拟了低热带食物网中多氯联苯的积累,展示了多氯联苯侵入初级生产者及其在远洋消费者中的生物放大。来自新的实地调查的PCB数据用于校准/验证Puget Sound的新PCB建模框架。建模框架的软件程序可供用户社区使用,用于有毒污染物在海水中的迁移应用。
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Integrated modeling framework (FVCOM-ICM/Toxi) to simulate the fate and transport of polychlorinated biphenyls in urban estuaries–Case study for Puget Sound, WA
Puget Sound is an urban estuary that exhibits persistent polychlorinated biphenyls (PCBs) contamination despite years of remediation efforts. For robust management actions, determining the timing, location, and magnitude of PCB loading sources and transport pathways using field data alone is challenging due to complex water circulation and biogeochemical processes. This study aims to develop an integrated modeling framework that couples complex estuarian circulation with biogeochemical processes and associated interactions with PCB kinetics. The model simulates PCB accumulation in the lower tropic food web, demonstrating PCB intrusion into primary producers and its biomagnification in pelagic consumers. The PCB data from a new field survey was used to calibrate/validate the new PCB modeling framework for Puget Sound. The software program of the modeling framework is available to the user community for the applications of toxic contaminants transport in marine waters.
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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