Suppr超能文献

一种分析农业食品部门气候变化影响的方法论综合方法:TIMES 水-能源-食品模块。

A Methodological Integrated Approach to Analyse Climate Change Effects in Agri-Food Sector: The TIMES Water-Energy-Food Module.

机构信息

School of Agricultural, Forestry, Food and Environmental Sciences, University of Basilicata, 85100 Potenza, Italy.

Institute of Methodologies for Environmental Analysis-National Research Council of Italy (CNR-IMAA) C.da S. Loja, 85050 Tito Scalo (PZ), Italy.

出版信息

Int J Environ Res Public Health. 2020 Oct 22;17(21):7703. doi: 10.3390/ijerph17217703.

Abstract

The European Union's 2030 climate and energy policy and the 2030 Agenda for Sustainable Development underline the commitment to mitigate climate change and reduce its impacts by supporting sustainable use of resources. This commitment has become stricter in light of the ambitious climate neutrality target set by the European Green Deal for 2050. Water, Energy and Food are the key variables of the "Nexus Thinking" which face the sustainability challenge with a multi-sectoral approach. The aim of the paper is to show the methodological path toward the implementation of an integrated modeling platform based on the Nexus approach and consolidated energy system analysis methods to represent the agri-food system in a circular economy perspective (from the use of water, energy, biomass, and land to food production). The final aim is to support decision-making connected to climate change mitigation. The IEA-The Integrated MARKAL-EFOM System (TIMES) model generator was used to build up the Basilicata Water, Energy and Food model (TIMES-WEF model), which allows users a comprehensive evaluation of the impacts of climate change on the Basilicata agri-food system in terms of land use, yields and water availability and a critical comparison of these indicators in different scenarios. The paper focuses on the construction of the model's Reference Energy and Material System of the TIMES model, which integrates water and agricultural commodities into the energy framework, and on the results obtained through the calibration of the model β version to statistical data on agricultural activities.

摘要

欧盟 2030 年气候和能源政策以及 2030 年可持续发展议程强调了通过支持资源的可持续利用来减轻气候变化及其影响的承诺。考虑到欧洲绿色协议为 2050 年设定的雄心勃勃的气候中立目标,这一承诺变得更加严格。水、能源和粮食是“关联思维”的关键变量,这种思维以多部门的方法应对可持续性挑战。本文的目的是展示基于关联方法和综合能源系统分析方法实施综合建模平台的方法路径,以循环经济的视角(从水、能源、生物质和土地的利用到粮食生产)来表示农业食品系统。最终目的是支持与气候变化缓解相关的决策。使用国际能源署-综合 MARKAL-EFOM 系统(TIMES)模型生成器构建了巴西利卡塔水、能源和粮食模型(TIMES-WEF 模型),该模型允许用户全面评估气候变化对巴西利卡塔农业食品系统的影响,包括土地利用、产量和水的可用性,并在不同情景下对这些指标进行批判性比较。本文重点介绍了 TIMES 模型的参考能源和材料系统的构建,该系统将水和农产品纳入能源框架,并介绍了通过对模型的β版本进行校准以获取农业活动统计数据所获得的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4483/7659488/dc42a0578f6a/ijerph-17-07703-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验