气候变化领域集成服务门户(CCPortal): Modeling Process-Based Biogeochemical Dynamics in Surface Fresh Waters of Large Watersheds With the IMAGE-DGNM Framework

CCPortal

DOI	10.1029/2019MS001796
	Modeling Process-Based Biogeochemical Dynamics in Surface Fresh Waters of Large Watersheds With the IMAGE-DGNM Framework
	Vilmin L.; Mogollón J.M.; Beusen A.H.W.; van Hoek W.J.; Liu X.; Middelburg J.J.; Bouwman A.F.
发表日期	2020
ISSN	19422466
卷号	12 期号:11
英文摘要	Over the last centuries, human activities have exerted increasing pressures on the environment, leading to drastic alterations in the functioning of freshwater bodies (e.g., eutrophication). Global biogeochemical models have proven crucial to investigate interactions between humans, hydrology, and water quality of surface fresh waters. However, most do not account for high-resolution spatial and temporal variability within watersheds, and they typically lack any representation of benthic dynamics that can drive pollution legacy effects. We present here the Integrated Model to Assess the Global Environment-Dynamic Global Nutrient Model (IMAGE-DGNM), which couples global, spatially explicit hydrology and integrated assessment models with process-based biogeochemistry in surface fresh waters. The new Dynamic In-Stream Chemistry (DISC) module calculates advective transport from headwaters to estuaries, processes in the water column and in bed sediments, as well as the exchanges between these two compartments. As application examples of IMAGE-DGNM, we simulate sediment dynamics and nitrogen cycling in two large river basins. We assess in-stream concentration time series at specific locations, and identify governing processes in transfers along the aquatic continuum. Results highlight the importance of benthic dynamics in watersheds highly perturbed by damming. The implementation of such dynamics within IMAGE-DGNM allows for including the temporal effect of pollution legacies in large scale water quality studies and shifts in pollutant speciation along river continua. This new framework therefore incorporates new features for large basin to global scale studies that are crucial to better predict the effects on receiving ecosystems and evaluate future environmental management pathways. ©2020. The Authors.
英文关键词	biogeochemistry; global framework; nitrogen cycle; process-based modeling; sediments; surface fresh waters
语种	英语
scopus关键词	Biogeochemistry; Dynamics; Environmental management; Eutrophication; Image processing; Rivers; Water quality; Watersheds; Advective transport; Application examples; Biogeochemical dynamics; Biogeochemical models; Integrated assessment models; Integrated modeling; Spatial and temporal variability; Water quality studies; River pollution; advection; assessment method; benthos; biogeochemical cycle; biogeochemistry; environmental management; human activity; nitrogen cycle; river basin; spatiotemporal analysis; speciation (chemistry); water quality
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156596
作者单位	Department of Earth Sciences, Utrecht University, Utrecht, Netherlands; Now at Deltares, Delft, Netherlands; Department of Industrial Ecology, Leiden University, Leiden, Netherlands; PBL Netherlands Environmental Assessment Agency, The Hague, Netherlands; Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, China
推荐引用方式 GB/T 7714	Vilmin L.,Mogollón J.M.,Beusen A.H.W.,et al. Modeling Process-Based Biogeochemical Dynamics in Surface Fresh Waters of Large Watersheds With the IMAGE-DGNM Framework[J],2020,12(11).
APA	Vilmin L..,Mogollón J.M..,Beusen A.H.W..,van Hoek W.J..,Liu X..,...&Bouwman A.F..(2020).Modeling Process-Based Biogeochemical Dynamics in Surface Fresh Waters of Large Watersheds With the IMAGE-DGNM Framework.Journal of Advances in Modeling Earth Systems,12(11).
MLA	Vilmin L.,et al."Modeling Process-Based Biogeochemical Dynamics in Surface Fresh Waters of Large Watersheds With the IMAGE-DGNM Framework".Journal of Advances in Modeling Earth Systems 12.11(2020).