| 光谱学与光谱分析 |
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| Spectral Characteristics of Salinized Soils during Microbial Remediation Processes |
| MA Chuang1, SHEN Guang-rong1,2*, ZHI Yue-e2, WANG Zi-jun1, ZHU Yun1, LI Xian-hua3 |
1. Research Center for Low-Carbon Agriculture, Shanghai Jiao Tong University, Shanghai 200240, China
2. Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, Shanghai 200240, China
3. Research Center of Remote Sensing and Spatial Information Science, Shanghai University, Shanghai 200036, China |
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Abstract In this study, the spectral reflectance of saline soils,the associated soil salt content(SSC) and the concentrations of salt ions were measured and analysed by tracing the container microbial remediation experiments for saline soil (main salt is sodium chloride) of Dongying City, Shandong Province. The sensitive spectral reflectance bands of saline soils to SSC, Cl- and Na+ in the process of microbial remediation were analysed. The average dimension reduction of these bands was conducted by using a combination of correlation coefficient and decision coefficient, and by gradually narrowing the sampling interval method. Results showed that the tendency and magnitude of the average spectral reflectance in all bands of saline soils during the total remediation processes were nearly consistent with SSC and with Cl- coocentration, respectively. The degree of salinity of the soil, including SSC and salt ion concentrations, had a significant positive correlation with the spectral reflectance of all bands, particularly in the near-infrared band. The optimal spectral bands of SSC were 1 370 to 1 445 nm and 1 447 to 1 608 nm, whereas the optimal spectral bands of Cl- and Na+ were 1 336 to 1 461 nm and 1 471 to 1 561 nm, respectively. The relationship model among SSC, soil salt ion concentrations (Cl- and Na+) and soil spectral reflectance of the corresponding optimal spectral band was established. The largest R2 of relationship model between SSC and the average reflectance of associated optimal band reached to 0.95, and RMSEC and RMSEP were 1.076 and 0.591, respectively. Significant statistical analysis of salt factors and soil reflectance for different microbial remediation processes indicated that the spectral response characteristics and sensitivity of SSC to soil reflectance, which implied the feasibility of high spectrum test on soil microbial remediation monitoring, also provided the basis for quick nondestructive monitoring soil bioremediation process by soil spectral reflectance.
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Received: 2014-07-31
Accepted: 2014-11-20
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Corresponding Authors:
SHEN Guang-rong
E-mail: sgrong@sjtu.edu.cn
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