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采用共享社会经济路径开发化学排放情景。

Development of chemical emission scenarios using the Shared Socio-economic Pathways.

机构信息

Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, the Netherlands.

Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, the Netherlands.

出版信息

Sci Total Environ. 2022 Aug 25;836:155530. doi: 10.1016/j.scitotenv.2022.155530. Epub 2022 Apr 27.

Abstract

The widespread use of chemicals has led to significant water quality concerns, and their use is still increasing. Hence, there is an urgent need to understand the possible future trends in chemical emissions to water systems. This paper proposes a general framework for developing emission scenarios for chemicals to water using the Shared Socio-economic Pathways (SSPs) based on an emission-factor approach. The proposed approach involves three steps: (i) identification of the main drivers of emissions, (ii) quantification of emission factors based on analysis of publicly available data, and (iii) projection of emissions based on projected changes in the drivers and emission factors. The approach was tested in Europe for five chemical groups and on a national scale for five specific chemicals representing pharmaceuticals, pesticides, and industrial chemicals. The resulting emission scenarios show widely diverging trends of increased emissions by 240% for ibuprofen in SSP3 (regional rivalry) to a 68% decrease for diclofenac in SSP1 (sustainable development) by 2050. While emissions typically decrease in SSP1, they follow the historical trend in SSP2 (middle-of-the-road scenario) and show an increase in the regional rivalry scenario SSP3 for most selected chemicals. Overall, the framework allows understanding of future chemical emissions trends as a function of the socio-economic trends as captured in the SSPs. Our scenarios for chemical emissions can thus be used to model future aqueous emissions to support risk assessment. While the framework can be easily extended to other pharmaceuticals and pesticides, it heavily leans on the availability and quality of historical emission data and a detailed understanding of emission sources for industrial chemicals.

摘要

化学品的广泛使用导致了严重的水质问题,而其使用量仍在不断增加。因此,迫切需要了解化学物质排放到水系中的未来可能趋势。本文提出了一种基于共享社会经济路径(SSP)的使用排放因子方法,将化学品排放到水中的情景开发的一般框架。该方法包括三个步骤:(i)确定排放的主要驱动因素,(ii)根据公开数据的分析量化排放因子,(iii)根据驱动因素和排放因子的预测变化预测排放。该方法在欧洲五个化学物质组和五个特定化学物质(代表药品、农药和工业化学品)的国家范围内进行了测试。结果表明,到 2050 年,五种化学物质的排放情景存在广泛的差异趋势,布洛芬在 SSP3(区域竞争)中的排放量增加了 240%,而二氯芬酸在 SSP1(可持续发展)中的排放量减少了 68%。虽然在 SSP1 中排放量通常会减少,但它们遵循 SSP2(中间情景)的历史趋势,并在 SSP3(区域竞争情景)中显示出大多数选定化学物质的排放量增加。总体而言,该框架允许根据 SSP 中捕获的社会经济趋势来理解未来化学物质排放趋势。因此,我们的化学物质排放情景可以用于模拟未来的水相排放,以支持风险评估。虽然该框架可以很容易地扩展到其他药品和农药,但它严重依赖于历史排放数据的可用性和质量,以及对工业化学品排放源的详细了解。

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