Application of System Dynamics technique to simulate the fate of persistent organic pollutants in soils

被引：10

作者：

Chaves, R. ^{[1
]}

Lopez, D. ^{[2
]}

Macias, F. ^{[1
]}

Casares, J. ^{[2
]}

Monterroso, C. ^{[1
]}

机构：

[1] Univ Santiago de Compostela, Fac Bioloxia, Dept Edafoloxia & Quim Agr, Santiago De Compostela 15782, Spain

[2] Univ Santiago de Compostela, ETSE, Dept Enxenaria Quim, Santiago De Compostela 15782, Spain

来源：

CHEMOSPHERE | 2013年 / 90卷 / 09期

关键词：

Environmental modelling; Vensim; Persistent pesticides; Contaminated soils; ROOT UPTAKE; MODEL; HEXACHLOROCYCLOHEXANE; TRANSPORT; GROWTH; DISPERSION; CHEMICALS; WATER;

D O I：

10.1016/j.chemosphere.2012.10.082

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Persistent organic pollutants (POPs) are within the most dangerous pollutants released into the environment by human activities. Due to their resistance to degradation (chemical, biological or photolytic), it is critical to assess the fate and environmental hazards of the exchange of POPs between different environmental media. System Dynamics enables to represent complex systems and analyze their dynamic behavior. It provides a highly visual representation of the structure of the system and the existing relationships between the several parameters and variables, facilitating the understanding of the behavior of the system. In the present study the fate of gamma-hexachlorocyclohexane (lindane) in a contaminated soil was modeled using the Vensim (R) simulation software. Results show a gradual decrease in the lindane content in the soil during a simulation period of 10 years. The most important route affecting the concentrations of the contaminant was the biochemical degradation, followed by infiltration and hydrodynamic dispersion. The model appeared to be highly sensitive to the half-life of the pollutant, which value depends on environmental conditions and directly affects the biochemical degradation. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：2428 / 2434

页数：7

共 39 条

[1] PIXGRO:: A model for simulating the ecosystem CO2 exchange and growth of spring barley [J].