Position: Home > Articles > 基于连续灰分区间定标模型的生物炭金属含量LIBS检测
Transactions of the Chinese Society for Agricultural Machinery
2019
(1)
323-328
基于连续灰分区间定标模型的生物炭金属含量LIBS检测
作 者:
段宏伟;韩鲁佳;黄光群
单 位:
中国农业大学工学院
关键词:
农业生物炭;金属元素含量;基体效应;连续灰分区间定标模型;激光诱导击穿光谱
摘 要:
为实现应用激光诱导击穿光谱(LIBS)技术准确检测农业生物炭中主要金属元素含量,并提高检测灵敏度,提出采用高温处理法去除水分、固定碳和有机基体效应的影响.首先获取灰分质量分数在28%~42%范围内具有代表性的66个农业生物炭样品,并选用不同灰分区间间距(14%、7%、3. 5%和2%)对样品集进行划分.当间距设为7%时,样品集的灰分区间被划分为28%~35%(38个样品)和35%~42%(28个样品),对应的高温处理前后各元素含量平均决定系数均大于0. 96.理论上表明,可以利用高温处理后样品光谱信息,并结合原始样品化学信息,构建农业生物炭中主要金属元素含量的连续灰分区间定标模型.通过比较原始样品和高温处理后样品数据集所构建模型的效果,得出高温处理后样品偏最小二乘回归(PLSR)模型的交互验证相对标准偏差明显较低,其预测集的成对T检验显示,LIBS和电感耦合等离子体质谱(ICP-MS)测定结果无显著性差异.结果表明,高温处理结合连续灰分区间定标模型能够实现农业生物炭中主要金属元素的LIBS同步精确定量分析.
作 者:
SHAO Guangcheng;WANG Zhiyu;WANG Xiaojun;TANG Shuhai;YAO Huaizhu;College of Agricultural Engineering,Hohai University;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Nanjing Hydraulic Research Institute;Lianshui Water Conservancy Research Institute;Jiangsu Province Rural Water Conservancy Science and Technology Development Center;
关键词:
winter wheat;;Huaibei Plain;;irrigation schedule;;DSSAT model;;hydrological years;;applicability
摘 要:
In order to discuss the feasibility of DSSAT model in the optimization of irrigation schedule for winter wheat in different hydrological years,the corresponding design values of precipitation experience frequency of 25%,50% and 75% were obtained by using the precipitation data of the growth period of winter wheat from 1985 to 2015 in Lianshui Water Conservancy Research Institute. After that the years from 2001 to 2016 in Huaian Station with close corresponding precipitation of three kinds of empirical frequencies were taken as the representative years,and that was 2007—2008( wet year),2006—2007( normal year) and 2011—2012( dry year). Fifteen irrigation schedules( T1 ~ T15) were drawn up through different combinations of growth stages and irrigation times,and the irrigation schedules were simulated in three hydrological years by using the DSSAT model after the parameter estimation and verification. The results showed that after calibrated,the genetic coefficients of winter wheat could accurately reflect the main genetic characteristics. Considering the yield,irrigation water capacity and the water use efficiency of winter wheat as a whole,it was advisable to select the irrigation schedule T3 from2007 to 2008( wet year),from 2006 to 2007( normal year),and from 2011 to 2012( dry year). The schedule T3 was irrigated with 50 mm in the regreening period. The irrigation time of wintering,regreening and jointing periods were on December 25,February 20 and March 30,respectively. Under BCC-CSM1. 1 climate model,RCP4. 5 and RCP8. 5 were considered to simulate the water and yield effect of winter wheat in 2030—2095 years,and then it was found that when the initial soil moisture content was 60% and 80% of the field capacity,T3 and T6 both had certain feasibility compared with the rainfed conditions.