Effects of Mitigation Options on the Control of Methane Emissions Caused by Rice Paddies and Livestock Populations to Reduce Global Warming: A Modeling Study and Comparison with Environmental Data

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Informatics Pub Date : 2021-03-25 DOI:10.3808/JEI.202000447
S. Sundar, Anshuman Mishra, J. Shukla
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引用次数: 16

Abstract

In this paper, a non-linear mathematical model is proposed and analyzed to study the effects of mitigation options on the control of methane emissions in the atmosphere caused by rice paddies and livestock populations to reduce global warming. In the modeling process, it is assumed that the cumulative biomass density of rice paddies and the density of livestock populations follow logistic models with their respective growth rates and carrying capacities. The growth rate of concentration of methane in the atmos- phere is assumed to be directly proportional to the cumulative density of various processes involved in the production of rice paddies as well as the cumulative density of various processes used in the farming of livestock populations. This growth rate is also assumed to increase with natural factors such as wetlands but it decreases with the cumulative density of mitigation options, considered to be pro- portional to the increased level of methane concentration in the atmosphere. The non-linear model is analyzed by using the stability theory of differential equations and computer simulation. The analysis shows that mitigation options can control the methane emissions in the atmosphere caused by rice paddies and livestock populations considerably. The computer simulation of the model confirms this analytical result. The data from model prediction is compared with actual methane data in the atmosphere and found to be very satisfactory.
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减缓方案对控制稻田和牲畜种群造成的甲烷排放以减缓全球变暖的影响:模型研究及与环境数据的比较
本文提出并分析了一个非线性数学模型,以研究减缓方案对控制稻田和牲畜种群引起的大气甲烷排放的影响,以减缓全球变暖。在建模过程中,假设稻田累积生物量密度和牲畜种群密度遵循各自生长速率和承载能力的logistic模型。假定大气中甲烷浓度的增长率与稻田生产中涉及的各种过程的累积密度以及牲畜养殖中使用的各种过程的累积密度成正比。这一增长率还假定随着湿地等自然因素的增加而增加,但随着减缓备选办法的累积密度而减少,这些办法被认为与大气中甲烷浓度的增加成正比。利用微分方程稳定性理论和计算机仿真对非线性模型进行了分析。分析表明,减缓方案可以在很大程度上控制稻田和牲畜种群造成的大气甲烷排放。模型的计算机模拟证实了这一分析结果。将模型预测的数据与大气中实际的甲烷数据进行了比较,结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
期刊介绍: Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include: - Planning of energy, environmental and ecological management systems - Simulation, optimization and Environmental decision support - Environmental geomatics - GIS, RS and other spatial information technologies - Informatics for environmental chemistry and biochemistry - Environmental applications of functional materials - Environmental phenomena at atomic, molecular and macromolecular scales - Modeling of chemical, biological and environmental processes - Modeling of biotechnological systems for enhanced pollution mitigation - Computer graphics and visualization for environmental decision support - Artificial intelligence and expert systems for environmental applications - Environmental statistics and risk analysis - Climate modeling, downscaling, impact assessment, and adaptation planning - Other areas of environmental systems science and information technology.
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