基于二维相关的土壤养分时间分辨激光诱导击穿光谱解析及定量研究

项目名称： 基于二维相关的土壤养分时间分辨激光诱导击穿光谱解析及定量研究

项目编号： No.61505253

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 吕程序

作者单位： 中国农业机械化科学研究院

项目金额： 20万元

中文摘要： 土壤养分是农业生产的基础和核心，但复杂多样的土壤物质系统限制了养分信息的准确快速获取。土壤物料特性与激光诱导击穿光谱的内在关联机制，及基于此的土壤养分N、P、K元素定量检测是目前面临的科学问题。本项目拟结合土壤养分元素及基质信息的物料特性分析，创新采用时间扰动二维相关手段，拟解决关键问题：①摸索基于同步谱的弱小峰捕捉和重叠峰分离方法；探求基于异步谱的元素特征谱线强度变化时序信息提取方法；综合提取的时序信息、物料特性与标准谱库，构建土壤的激光诱导击穿光谱特征谱线归属指派方法。②应用二维相关方法提取土壤养分元素的激光诱导击穿光谱信号强度时域衰减信息；比较基于时域衰减信息、累积光谱、以及二者综合的定量分析模型；构建土壤养分快速定量检测的方法。研究成果能够阐释土壤养分激光诱导击穿光谱检测机理，为提高其定量检测精度与稳定性提供新思路。

中文关键词： 激光诱导击穿光谱；二维相关光谱；土壤养分；光谱解析；定量分析

英文摘要： Soil nutrient is the basic and key parameter for agricultural industry, while, currently soil nutrient information acquirement is restricted by the soil complex feature. Internal correlation between soil material property and its laser induced breakdown spectroscopy (LIBS), and quantitative analysis on nutrient elements of Nitrogen, Phosphorus and Potassium are scientific problems.In this proposal, combining soil material property and two-dimensional correlation spectroscopy (2DCOS), the following key problems will be solved. ①: The synchronous will be used to capture weak peaks and separate overlapped peaks.The asynchronous will be employed to extract the time-resolved intensity change of LIBS feature lines. Considering intensity change, material property and standard spectral library, the LIBS feature lines will be assigned. ②: The time-domain attenuated LIBS spectral information of soil nutrient will be extract by 2DCOS. And then considering attenuated spectral information, accumulate LIBS and both of two, the soil nutrient quantitative models will be established. Comparing above models, a soil nutrient quantitative method based on LIBS will be established. The result will not only interpret the mechanism of soil nutrient LIBS analysis, but also provide a new idea to improve accuracy and stability of soil nutrient quantitative analysis.

英文关键词： Laser induced breakdown spectroscopy;Two dimensional correlation spectroscopy;Soil nutrient;Spectral assignment;Quantitative analysis