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利用碳综合集水区模型 INCA-C 模拟瑞典综合监测站点的溶解有机碳动态。

Simulating dissolved organic carbon dynamics at the swedish integrated monitoring sites with the integrated catchments model for carbon, INCA-C.

机构信息

Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, P.O. Box 7050, 750 07 Uppsala, Sweden.

出版信息

Ambio. 2011 Dec;40(8):906-19. doi: 10.1007/s13280-011-0203-z.

Abstract

Surface water concentrations of dissolved organic carbon ([DOC]) are changing throughout the northern hemisphere due to changes in climate, land use and acid deposition. However, the relative importance of these drivers is unclear. Here, we use the Integrated Catchments model for Carbon (INCA-C) to simulate long-term (1996-2008) streamwater [DOC] at the four Swedish integrated monitoring (IM) sites. These are unmanaged headwater catchments with old-growth forests and no major changes in land use. Daily, seasonal and long-term variations in streamwater [DOC] driven by runoff, seasonal temperature and atmospheric sulfate (SO₄(2-)) deposition were observed at all sites. Using INCA-C, it was possible to reproduce observed patterns of variability in streamwater [DOC] at the four IM sites. Runoff was found to be the main short-term control on [DOC]. Seasonal patterns in [DOC] were controlled primarily by soil temperature. Measured SO₄(2-) deposition explained some of the long-term [DOC] variability at all sites.

摘要

由于气候、土地利用和酸沉降的变化,北半球地表水溶解有机碳(DOC)浓度正在发生变化。然而,这些驱动因素的相对重要性尚不清楚。在这里,我们使用综合流域碳模型(INCA-C)来模拟瑞典四个综合监测(IM)站点的长期(1996-2008 年)河流水 DOC。这些是无人为管理的源头集水区,拥有原始森林,土地利用没有重大变化。所有站点均观测到径流量、季节性温度和大气硫酸盐(SO₄(2-))沉积驱动的河流水 DOC 的日变化、季节变化和长期变化。利用 INCA-C,可以重现四个 IM 站点河流水 DOC 观测到的变化模式。径流量被认为是 DOC 的主要短期控制因素。DOC 的季节性模式主要受土壤温度控制。测量的 SO₄(2-)沉积解释了所有站点的部分长期 DOC 变异性。

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