Comprehensive model of environmental degradation assessment

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2025-03-10 DOI:10.1007/s10661-025-13781-5
Ehsan Shoaei, Majid Shafiepour-Motlagh, Babak Omidvar, Hamid Afshari
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Abstract

This study explores the development of a comprehensive techno-economic model of environmental degradation based on the ReCiPe2016 approach named Financial Developed ReCiPe (FDR). The FDR considers cause-and-effect pathways of environmental degradation by ocean acidification, floods, acid rain, malnutrition, forest destruction, and waste more than the ReCiPe2016 in the midpoint and the environmental properties in the endpoint by considering tourism potential and intergenerational benefits. This model quantifies environmental degradation by the functions of fate factors (FF), effect factors (EF), exposure factors (XF), and economic impacts. These functions are developed for added cause-and-effect pathways, and the results were verified based on real studies. The uncertainties are considered by Individualist, Hierarchist, and Egalitarian perspectives, and the Monte Carlo Simulation (MCS) method is used to estimate the uncertainty level of variables. The results indicate the acceptability of the findings for the 20–1000-year infinite time horizon is about 13–38% variation. The FDR reveals significant deviations in the Hierarchist perspective compared to the ReCiPe2016; non-cancer diseases due to stratospheric ozone depletion and malnutrition by global warming are increased by approximately 17% and 13%, respectively. Each hectare of forest destruction’s impact on global warming, tourism, and timber resources equates to annual emission of 86 tons of CO2, 426 tons of PM2.5, and 1540 tons of crude oil, respectively. The ocean acidification effects from CO2 emissions compared to SO2 and terrestrial acidification, contributing about 0.03% in the Hierarchist perspective. Finally, the FDR model bridges the existing gap in lifecycle impact assessment (LCIA) in energy-intensive industries such as petrochemical industries.

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环境退化综合评价模型
本研究探索了基于ReCiPe2016方法的环境退化综合技术经济模型的开发,该模型名为金融开发配方(FDR)。FDR考虑了海洋酸化、洪水、酸雨、营养不良、森林破坏和浪费等环境退化的因果途径,而不是以ReCiPe2016为中点,以旅游潜力和代际利益为终点,考虑了环境属性。该模型通过命运因子(FF)、效应因子(EF)、暴露因子(XF)和经济影响的函数对环境退化进行量化。这些功能是为了增加因果路径而开发的,结果是基于实际研究的验证。从个人主义、层次主义和平等主义的角度考虑了不确定性,并使用蒙特卡罗模拟(MCS)方法来估计变量的不确定性水平。结果表明,在20 - 1000年的无限时间范围内,研究结果的可接受性约为13-38%。与ReCiPe2016相比,FDR揭示了等级主义视角的显著偏差;由平流层臭氧消耗和全球变暖导致的营养不良引起的非癌症疾病分别增加了约17%和13%。每公顷森林破坏对全球变暖、旅游业和木材资源的影响分别相当于每年排放86吨二氧化碳、426吨PM2.5和1540吨原油。与SO2和陆地酸化相比,CO2排放对海洋酸化的影响约为0.03%。最后,FDR模型弥补了能源密集型行业(如石化行业)生命周期影响评估(LCIA)的现有差距。图形抽象
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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