湖泊与水库流域营养动态综合模型:系统综述与综合建模决策途径

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Floran Clopin , Ilaria Micella , Jorrit P. Mesman , Ma Cristina Paule-Mercado , Marina Amadori , Shuqi Lin , Lisette N. de Senerpont Domis , Jeroen J.M. de Klein
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引用次数: 0

摘要

内陆水体的富营养化是一个严重的环境威胁。本文综述了目前湖泊和水库生态系统的综合模型,这些模型侧重于流域尺度上的营养动态。许多研究要么采用流域模型,要么采用湖泊/水库模型,但最终选择了49项将两者结合起来的研究。我们得出了21个流域模型、23个湖泊/水库模型和6个不同组合的混合模型,这些模型具有一系列目标(如理解自然过程、预测和分析气候变化和土地利用情景,或评估不同的管理方案)。一些综合模型有多个应用,而另一些模型只应用一次,全球地理分布不均衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated models of nutrient dynamics in lake and reservoir watersheds: A systematic review and integrated modelling decision pathway
Eutrophication of inland water bodies is a serious environmental threat. This review explores current integrated models for lake and reservoir ecosystems that focus on nutrient dynamics at a catchment scale. Many studies applied either watershed or lake/reservoir models, however, 49 studies were finally selected that combined both. We derived a list of 21 watershed models, 23 lake/reservoir models, and 6 hybrid models in different sets of combinations, with a range of objectives (e.g. understanding the natural processes, predicting, and analysing climate change and land-use scenarios, or evaluating the different management options). Some integrated models had multiple applications whereas others were only applied once, with an uneven global geographical distribution.
To aid model selection by future users, we present a support tool discriminating the models by their features and application fields. This study encourages the development of open-source tools aiding interdisciplinary collaborations and further research in the field of integrated modelling.
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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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