GeoGOBLIN:用于评估气候减缓途径的流域尺度土地平衡模型,考虑多种影响类别的环境权衡。

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-19 DOI:10.1016/j.envsoft.2024.106144
Colm Duffy , Daniel Henn , David Styles , Gregory G. Toth , Remi Prudhomme , Pietro P.M. Iannetta , Ken Byrne
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引用次数: 0

摘要

GeoGOBLIN 是一种新颖的环境影响和土地平衡评估工具,以爱尔兰 GOBLIN 生物物理土地利用排放模型为基础,提供更高的分辨率和系统级细节。它结合遥感数据和全国农业普查数据,在流域层面建立气候变化、空气质量和富营养化排放模型。CBM-CFS3 森林碳建模框架(爱尔兰国家清单报告中使用)的整合提高了与国家排放报告的一致性。GeoGOBLIN 按生命周期评估影响类别对排放量进行了分类,使其成为决策者和研究人员评估与土地利用方案相关的环境和经济权衡的重要工具。示例情景展示了 GeoGOBLIN 评估替代性土地利用的多方面影响的能力,为可持续土地利用、粮食生产和循环生物经济的知情决策提供了支持。
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GeoGOBLIN: A catchment-scale land balance model for assessment of climate mitigation pathways considering environmental trade-offs for multiple impact categories

GeoGOBLIN, a novel environmental impact and land balance assessment tool, builds upon the GOBLIN biophysical land use emissions model for Ireland, offering enhanced resolution and system-level detail. It combines remotely sensed data and national agricultural census data to model climate change, air quality, and eutrophication emissions at the catchment level. Integration of the CBM-CFS3 forest carbon modelling framework (utilised in Ireland's National Inventory Report) increases alignment with national emissions reporting. GeoGOBLIN disaggregates emissions by life cycle assessment impact categories, making it a valuable tool for policymakers and researchers evaluating environmental and economic trade-offs associated with land-use scenarios. Illustrative scenarios demonstrate GeoGOBLIN's ability to assess the multifaceted impacts of alternative land uses, supporting informed decision-making for sustainable land use, food production, and a circular bioeconomy.

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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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