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首页»科研成果» 2014
纪多颖、John Moore与合作者在ENVIRONMENTAL RESEARCH LETTERS发表论文
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A multi-model assessment of regional climate disparities caused by solar geoengineering 1 Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA 2 Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA 3 Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA 4 Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA 5 Canadian Centre for Climate Modeling and Analysis, Environment Canada, Toronto, Ontario, Canada 6 School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada 7 IASS Institute for Advanced Sustainability Studies, Potsdam, Germany 8 State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, People？s Republic of China 9 School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA 10 Department of Geosciences, University of Oslo, Oslo, Norway 11 National Center for Atmospheric Research, Boulder, CO, USA 12 Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan 13 Danish Meteorological Institute, Copenhagen, Denmark ABSTRACT As global warming and extreme weather events increase and intensify across the globe, it becomes ever more urgent to study and understand the effects of extreme rainfall events on carbon (C), nitrogen (N), and phosphorus (P) export from terrestrial to riverine ecosystems. There is still much to learn regarding C, N, and P non-point source discharge that results from extremely heavy rainfall as well as their effects on downstream ecosystems. This study aimed to shed light on C, N, and P biogeochemical and hydrological coupling processes. Long-term and short-term water composition monitoring research was carried out within a purple soil watershed in China’s Sichuan Province. This study captured both base flow from long-term observations and dynamic runoff under extreme rainfall events that took place during the 2012 rainy season. Dissolved total nitrogen (DTN) was the largest percentage of total nitrogen (TN) in storm runoff. DTN exceeded particulate nitrogen (PN), which itself exceeded dissolved organic nitrogen (DON). Under site conditions, particulate phosphorus (PP) formed the largest constituent of total phosphorus (TP) followed by dissolved total phosphorus (DTP) and dissolved organic phosphorus (DOP). Furthermore, results showed that C, N, and P loads increased sharply in response to heavy rainfall. Although P abundance in purple soils is limited, it was nevertheless shown that C:N:P ratios measured during rainstorms corresponded much more closely to the Redfield ratio than to ratios measured in base flows. This adds to the evidence that suggests that increased storm runoff will increase eutrophication likelihood in ecosystems further downstream. KEY WORDS: geoengineering, GeoMIP, regional climate, climate modeling PUBLISHED BY: ENVIRONMENTAL RESEARCH LETTERS, 2014, 9 (7): 10.1088 SOURCE: http://iopscience.iop.org/1748-9326/9/7/074013/ |
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