光谱学与光谱分析, 2023, 43 (4): 1268, 网络出版: 2023-05-03  

重金属铜铅胁迫下不同品种玉米污染程度监测研究

Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress
作者单位
1 中国航天科工集团第三研究院航天海鹰卫星运营事业部, 北京 100070
2 中国资源卫星应用中心, 北京 100094
3 中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083
4 安徽理工大学深部煤矿采动响应与灾害防控国家重点实验室, 安徽 淮南 232001
摘要
植被重金属污染监测是当今高光谱遥感监测研究的重要内容。 为了将高光谱遥感技术定性的用于植被重金属污染监测研究, 从盆栽实验采集的反射率光谱数据方面进行研究。 在实验室室内设置不同胁迫浓度的重金属铜铅玉米盆栽实验, 测定了不同浓度Cu2+和Pb2+胁迫下玉米叶片的反射率光谱和Cu2+和Pb2+含量等有关铜铅污染玉米的基础数据, 形成了关于重金属铜铅污染玉米植株的一套完整的数据集。 研究提出了一种铜铅探测指数(CLDI), 实现了不同培育期的两种玉米品种的重金属铜铅胁迫监测, 从而为当前植被重金属污染探测提供了新的思路。 研究设计了不同浓度的铜铅污染实验, 将测量获得的玉米叶片450~850 nm的光谱反射率进行一阶微分(D)和包络线去除(CR)处理后得到微分包络线去除(DCR)光谱曲线, 利用皮尔逊相关系数(r)分析DCR数据和生化数据, 选择对重金属Cu敏感的特征波段。 计算的皮尔逊相关系数表明DCR值在490~520和680~700 nm与土壤和叶片中的Cu2+含量呈现接近于1的线性正相关, 在630~650和710~750 nm呈现接近于-1的线性负相关。 选择波长505, 640, 690和730 nm的DCR值建立CLDI, 通过计算土壤和叶片中的Cu2+含量与CLDI和常规的植被指数(VIs)的皮尔逊相关系数, 将两者进行对比, 从而验证了CLDI的有效性。 选用2017年实验获取的不同品种玉米叶片光谱数据, 将CLDI同样和常规的植被指数(VIs)进行对比, 从而验证了CLDI对不同品种的玉米具有鲁棒性。 将CLDI应用到铅胁迫下玉米叶片的污染程度监测, 验证了其对于不同重金属的普适性。 结果表明, CLDI与Cu2+和Pb2+胁迫浓度相关性显著, 与其他植被指数相比, 相关性更高。 提出的CLDI探测铜铅胁迫下不同品种不同时期的玉米污染程度, 具有计算方便, 鲁棒性, 高效性、 普适性的优点。 该研究基于实验室叶片尺度, 可为冠层尺度的重金属胁迫监测提供理论基础。
Abstract
Vegetation heavy metal pollution monitoring is important for hyperspectral remote sensing monitoring. In order to qualitatively use hyperspectral remote sensing technology in monitoring heavy metal pollution of vegetation, the reflectance spectrum data collected from potted experiment collection was studied. The potted maize experiment in the laboratory stressed by different Cu2+ and Pb2+ stress concentrations was set up. The reflectance spectra of maize leaves and the contents of Cu2+ and Pb2+ under different concentrations of Cu2+ and Pb2+ were measured by the basic data on copper and lead-contaminated maize. A complete set of data sets for the heavy metal copper and lead-contaminated maize plant was formed. This study proposed a copper lead detection index CLDI, which realized the monitoring of heavy metals copper and led stress in two varieties of maize with different cultivation periods. Experiments of copper and lead pollution with different concentrations were designed, and the measured spectral reflectance interval of 450~850 nm of maize leaves was processed by the first order differential (D) and continuum removal (CR), and the DCR (Differential Continuum Removal) spectral curve was obtained. The Pearson correlation coefficient (r) was used to analyze the DCR and the biochemical data, and select characteristic bands sensitive to heavy metal Cu (Copper). The calculated Pearson correlation coefficients suggested that the DCR value at 490~520 and 680~700 nm presented a positive linear correlation close to 1 with the Cu2+ (Copper ion) contents in soil and leaves and a negative linear correlation that was close to -1 was present in the range of 630~650 and 710~750 nm. We selected the DCR value of wavelengths 505, 640, 690 and 730 nm to establish CLDI and compared it with conventional vegetation indices (VIs) by calculating the Pearson correlation coefficient between them and Cu contents in soil and leaves. We used the spectral data of different varieties of maize leaves obtained in 2017 to compare CLDI with the conventional vegetation index (VIs). CLDI was applied to monitor the pollution degree of maize leaves under lead stress. The results suggested that CLDI showed a significant correlation with Cu2+ and Pb2+ (Lead ion) stress concentration, and the correlation of CLDI was much stronger than that of other vegetation indices. The proposed CLDI detects the pollution degree of maize with different varieties and in different periods under copper and leads stress with the advantages of straightforward calculation, robustness, high effectiveness, and universality. This study focused on the laboratory leaf scale; it can provide the theoretical basis for monitoring heavy metal stress on the canopy scale.

张超, 苏晓玉, 夏天, 杨可明, 冯飞胜. 重金属铜铅胁迫下不同品种玉米污染程度监测研究[J]. 光谱学与光谱分析, 2023, 43(4): 1268. ZHANG Chao, SU Xiao-yu, XIA Tian, YANG Ke-ming, FENG Fei-sheng. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. Spectroscopy and Spectral Analysis, 2023, 43(4): 1268.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!