基于TDLAS-bLS方法的夏玉米农田氨挥发研究
Use of Open-Path TDL Technique and the Backward Lagrangian Stochastic Model to Monitor Ammonia Emission from Summer Maize Field

杨文亮 ¹ 朱安宁 ¹ ^* 张佳宝 ¹ 张玉钧 ² 何莹 ² 王立明 ² 陈效民 ³ 陈文超 ¹

文摘	采用开放光程可调谐二极管激光吸收光谱技术和反向拉格朗日随机扩散模型,通过田间试验,开展基于高时间分辨率数据的农田氨挥发研究,旨在为揭示农田氨挥发的动态变化规律提供新技术新方法。结果表明,TDLAS-bLS法能有效监测农田氨挥发动态,尤其是日内变化规律。豫北平原潮土农田夏玉米追肥后日内氨挥发有两个挥发峰值,分别在9:00和14:00左右,第一个高峰是由于夜晚溶解在露水中的氨气随露水蒸发而再次挥发,第二个高峰受地温和光照影响所致。追肥后氨挥发速率迅速升高,但挥发高峰期持续时间较短,集中于前四天,整个监测期内氨挥发损失约25.3%。TDLAS-bLS法与通气法相比,测定结果有一定差异。
其他语种文摘	The backward Lagrangian stochastic dispersion model in conjunction with open-path tunable diode absorption spectroscopy was used to quantify ammonia emissions from farmland based on the high-temporal resolution data, aiming to provide innovative achievements to diagnose patterns of ammonia flux. The results indicate that the bLS dispersion technique using open-path lasers to measure atmospheric ammonia concentrations is suitable for determining ammonia emissions from farmland continuously, especially for characterizingdiurnal characteristics of NH_3 emissions. The ammonia emissions have a significant diurnal pattern with two emission peaks from urea applied to maize on a calcareous sandy loam fluvo-aquic soil in the North China Plain. We believe that the first peak starting at approximately 9:00 am is due to NH_3 absorbed by thedew re-emission at night as the dew evaporates. The maximum of ammonia flux at14:00 corresponds to the peak of soil temperature and solar radiation. The ammonia emission increased rapidly, but the duration of emission peaks lasted approximately 4 d. Cumulative NH_3 emission was 25.3% of the applied N over the entire measurement period. The NH_3 emissions measured with bLS dispersion technique and venting method had certain difference.
来源	光谱学与光谱分析 ,2012,32(11):3107-3111 【核心库】
DOI	10.3964/j.issn.1000-0593(2012)11-3107-05
关键词	可调谐二极管激光光谱技术 ; 反向拉格朗日随机扩散模型 ; 夏玉米 ; 氨挥发 ; 通气法
地址	1. 中国科学院南京土壤研究所, 土壤与农业可持续发展国家重点实验室;;封丘农业生态国家实验站, 江苏, 南京, 210008 2. 中国科学院安徽光学精密机械研究所, 安徽, 合肥, 230031 3. 南京农业大学资源与环境科学学院, 江苏, 南京, 210095
语种	中文
ISSN	1000-0593
学科	环境污染及其防治
基金	中国科学院知识创新工程重要方向项目 ; 国家自然科学基金项目 ; 中国科学院知识创新工程重要方向项目 ; 国家973计划
文献收藏号	CSCD:4661827