地质封存CO_(2)泄漏玉米光谱差异特征分析  

Spectral difference analysis of maize to CO_(2) leakage from geological storage

作　　者：薛璐[1,2,3,4] 马俊杰 王浩璠[2,3,4] 马劲风 XUE Lu;MA Junjie;WANG Haofan;MA Jinfeng(College of Life Science,Yulin University,Yulin 719000,Shaanxi China;Carbon Neutral College(Yulin),Northwest University,Xi’an 710069,China;National and Local Joint Engineering Research Center of Carbon Capture and Storage Technology,Xi’an 710127,China;Shaanxi Key Laboratory for Carbon Neutral Technology,Xi’an 710069,China)

机构地区：[1]榆林学院生命科学学院,陕西榆林719000 [2]西北大学碳中和学院(榆林),陕西西安710069 [3]二氧化碳捕集与封存国家与地方工程研究中心,陕西西安710127 [4]陕西省碳中和技术重点实验室,陕西西安710069

出　　处：《华中科技大学学报(自然科学版)》2025年第1期114-120,共7页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金(42304119);陕西省博士后科研资助项目(2023BSHEDZZ238);陕西省自然科学研究计划资助项目(2021JCW-04,2022JC-DW-09,2024JC-DXWT-06);陕西省重点产业创新链群资助项目(2023-ZDLSF-64);陕西省科技厅科技新星人才资助项目(2025ZC-KJXX-128);榆林市科协青年人才托举计划资助项目(20230514);榆林市科技局科技计划项目产学研资助项目(2023-CXY-156,CXY-2023-ZX02);榆林学院高层次人才科研启动基金资助项目(2023GK13);陕西省厅市联动重点资助项目(2022GD-TSLD-45).

摘　　要：构建CO_(2)泄漏模拟平台,利用玉米叶片原始光谱分析、一阶导数光谱分析及相关性分析、差异性分析与回归分析,提取对土壤CO_(2)泄漏敏感的玉米光谱特征参量.结果表明:土壤CO_(2)泄漏条件下的玉米绿峰(Rg)、红谷(Rr)、蓝边幅值(Db)和红边幅值(Dr)四个特征参量变化明显,且Rg和Rr与土壤CO_(2)有更高的相关性(R2≥0.869).在泄漏10,20和30 d,土壤CO_(2)体积分数为10%,30%和50%下的Rr均与对照组呈显著性差异;泄漏20和30 d时,土壤CO_(2)体积分数为10%,30%和50%下的Rg均与CK呈显著性差异,但泄漏10 d、土壤CO_(2)体积分数仅为30%和50%时,Rg与CK呈显著性差异.泄漏10 d时,Rg仅可识别土壤CO_(2)体积分数为30%以上的泄漏;泄漏20和30 d时,Rr和Rg均可有效识别土壤CO_(2)体积分数为10%,30%和50%的泄漏.同时,Rg与Rr与土壤CO_(2)呈较强的线性关系(R2≥0.7515),可利用Rg和Rr与CO_(2)的线性回归方程定量反演土壤CO_(2)可能泄漏的体积分数.By constructing a CO_(2) leakage simulation platform,the spectral characteristic parameters of maize that are sensitive to soil CO_(2) leakage were extracted by means of original spectral analysis of maize leaves,first-order derivative spectral analysis,correlation analysis,difference analysis and regression analysis,providing a basis for CO_(2) leakage monitoring in the CO_(2) capture and storage(CCS)project area.The results show that Rg,Rr,Db and Dr change significantly under CO_(2) leakage conditions,and Rg and Rr have a higher correlation with soil CO_(2)(R2≥0.869).At 10,20 and 30 days of leakage,Rr was significantly different from CK at soil CO_(2) concentration of 10%,30% and 50%.At 20 and 30 days of leakage,Rg at soil CO_(2) concentration of 10%,30% and 50% showed significant differences with CK.However,at the 10 days of leakage,Rg showed significant differences with CK only at soil CO_(2) concentration of 30% and 50%.At 10 days of leakage,Rg can only identify leakage with soil CO_(2) above 30%,and at 20 and 30 days of leakage,both Rr and Rg can effectively identify leakage with soil CO_(2) of 10%,30% and 50%.Furthermore,Rg and Rr show a good linear relationship with soil CO_(2)(R2≥0.7515),and the possible leakage concentration of soil CO_(2) can be quantitatively retrieved using the linear regression equation of Rg and Rr.

关 键 词：植物高光谱 光谱特征参量 CO_(2)泄漏 CO_(2)地质封存 泄漏监测 

分 类 号：X820.4[环境科学与工程—环境工程]