Quantitatively ranking the influencing factors of ammonia volatilization from paddy soils by grey relational entropy

Quantitatively ranking the influencing factors of ammonia volatilization from paddy soils by grey relational entropy
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利用灰色关联熵对水稻土氨挥发影响因素进行定量排序

DOI:
10.1007/s11356-019-06952-8
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发表时间:
2019-11
影响因子:
5.8
通讯作者:
Zhang Li-Min
Zhang Li-Min
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Xie Wen-Ming;Li Shi-Jun;Shi Wei-Ming;Zhang Hai-Lin;Fang Fang;Wang Guo-Xiang;Zhang Li-Min

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稻田土壤中氨(NH₃)的挥发是大气中氨的一个主要来源,其挥发量受多种因素影响。由于田间条件复杂,很难确定单个因素对氨挥发的相对重要性。
Ammonia (NH3) volatilization from paddy soils is a main source of atmospheric NH3and the magnitude is affected by many factors. Because of the complex field condition, it is difficult to identify the relative importance of individual factor on NH3volatilization process in different locations and at different times. In this study, the grey relational entropy method was used to evaluate the relative impact of four main factors (i.e., nitrogen fertilizer application rate, NH4-N concentration, pH, and temperature of the floodwater) on NH3volatilization loss from three different field experiments. The results demonstrated that floodwater NH4-N concentration was the most important factor governing NH3volatilization process. Floodwater pH was the second most important factor, followed by temperature of the floodwater and nitrogen fertilizer application rate. We further validated the grey relational entropy method with NH3volatilization loss data from other published study and confirmed the order of importance for the four factors. We hope the findings of this study will be helpful for guiding design to reduce paddy soil NH3emission.
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期刊: Agriculture, Ecosystems & Environment
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