基于红外光谱技术的秸秆还田环境下土壤氨挥发特征分析（英文）

发布时间：2018-05-30 03:37

  本文选题：近红外激光吸收光谱 + 氨挥发　； 参考：《红外与毫米波学报》2017年04期

【摘要】：研究氨近红外光谱特性并建立浓度反演算法模型,重点优化相关性分析和温度修正功能.利用开放式激光吸收光谱技术建立氨区域监测系统,于2015年在安徽涡阳秸秆还田示范区开展监测实验,研究玉米和小麦种植情况下的土壤氨挥发特征.研究结果表明,氨浓度具有日变化趋势:白天浓度上升在正午达到最高值,逐步降低到夜间至最小值.夏、秋季典型小时浓度变化范围为0.6×10~(-3)~1.34×10~(-3)mmol/mol和1.14×10~(-3)~1.82×10~(-3)mmol/mol,秋季玉米和夏季小麦秸秆还田的最大氨日均浓度为4.6×10~(-4)mmol/mol和1.7×10~(-3)mmol/mol,还田一个多月后氨浓度明显上升,并存在一定季节性差异.近红外光谱技术为明晰土壤氨排放规律提供了技术支持.
[Abstract]:The characteristics of ammonia near infrared spectroscopy (NIR) were studied and the concentration inversion algorithm model was established. The function of correlation analysis and temperature correction was optimized. Based on the open laser absorption spectrum technique, the ammonia monitoring system was established, and the monitoring experiment was carried out in Wuyang, Anhui Province in 2015, to study the characteristics of soil ammonia volatilization under maize and wheat cultivation. The results show that the concentration of ammonia has a diurnal variation trend: the concentration of ammonia increases to the highest value at noon and decreases gradually to the minimum value at night. In summer and autumn, the variation range of typical hourly concentration was 1. 34 脳 10~(-3)mmol/mol and 1. 14 脳 10 ~ (10) ~ (-3) mol 路mol ~ (-1), respectively. The maximum daily ammonia concentration of corn and wheat straw in autumn was 4.6 脳 10~(-4)mmol/mol and 1.7 脳 10 ~ (-3) mmol / mol respectively, and there was a seasonal difference in ammonia concentration after more than a month. Near-infrared spectroscopy (NIR) provides technical support for the clarification of soil ammonia emission law.
【作者单位】： 中国科学院环境光学与技术重点实验室安徽光学精密机械研究所;中国科学技术大学;安徽省环境光学监测技术重点实验室;
【基金】：Supported by the National Key Scientific Instrument and Equipment Development Projects(2012YQ22011902) the Special Foundation for Young Scientists of Hefei Institutes of Physical Science,Chinese Academy of Sciences(YZJJ201502)
【分类号】：O433;S141.4
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本文编号：1953761