岳甫均
- 教师拼音名称：Yue Fujun
- 性别：男
- 职称：副教授
- 所属院系：地球系统科学学院
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· Yue Fu-Jun, Li Si-Liang, Liu Jing, Zhong Jun, 2018, Evaluation of Factors Driving Seasonal Nitrate Variations in Surface and Underground Systems of a Karst Catchment, Vadose Zone Journal, 17, (1).
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· Wang Zhong-Jun, Yue Fu-Jun*, Li Si-Liang*, Li Xiao-Dong, Wang Shi-Lu, Tao Fa-Xiang, 2018, Nitrate dynamics during impoundment and flood periods in a subtropical karst reservoir: Hongfeng Lake, Southwestern China, Environmental Science: Processes & Impacts, 20, 1736-1745.
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· Yue Fu-Jun, Li Si-Liang, Liu Cong-Qiang, Zhao Zhi-Qi, Ding Hu, 2017, Tracing nitrate sources with dual isotopes and long term monitoring of nitrogen species in the Yellow River, China, Scientific Reports, 7(1), 8537.
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· Wang Zhong-Jun, Yue Fu-Jun*, Zeng Jie, Li Si-Liang, 2017, The influence of urbanization on karst rivers based on nutrient concentration and nitrate dual isotopes: an example from southwestern China, Acta Geochimica, 36(3), 446-451.
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· Yue Fu-Jun, Li Si-Liang, Hu Jian, 2015, The contribution of nitrate sources in Liao Rivers, China, based on isotopic fractionation and Bayesian mixing model, Procedia Earth and Planetary Science, 13, 16-20.
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· Yue Fu-Jun, Li Si-Liang, Liu Cong-Qiang, Lang Yun-Chao, Ding Hu, 2015, Sources and transport of nitrate constrained by isotopic technique in a karst catchment: An example from Southwest China, Hydrological Processes, 29(8), 1883-1893.
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· Yue Fu-Jun, Liu Cong-Qiang, Li Si-Liang, Zhao Zhi-Qi, Liu Xiao-Long, Ding Hu, Liu Bao-Jian, Zhong Jun, 2014, Analysis of δ15N and δ18O to identify nitrate sources and transformations in Songhua River, Northeast China, Journal of Hydrology, 519 (Part A), 329-339.
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· Yue Fu-Jun, Li Si-Liang, Liu Cong-Qiang, Zhao Zhi-Qi, Hu Jian, 2013, Using dual isotopes to evaluate sources and transformation of nitrogen in the Liao River, Northeast China, Applied Geochemistry, 36, 1-9.
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· Yue Fu-Jun, Liu Xiao-Long, Zhu Zhao-Zhou, Li Jun, Wang Zhong-Liang, 2010, Using nitrogen isotopic approach to identify nitrate sources in waters of Tianjin, China, Bulletin of Environmental Contamination and Toxicology, 85(6), 562-567.
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· 杨喜凯,刘鑫,弓耀奇,王浩阳,岳甫均*.2024.基于机器学习方法探究典型喀斯特流域水体氮素最佳监测频率.地球与环境.
