| 光谱学与光谱分析 |
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| Research on the Spectral Feature and Identification of the Surface Vegetation Stressed by Stored CO2 Underground Leakage |
| CHEN Yun-hao1, JIANG Jin-bao2*, Michael D Steven3, GONG A-du4, LI Yi-fan2 |
1. College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China
2. College of Geoscience and Surveying Engineering, China University of Mine and Technology, Beijing 100083, China
3. School of Geography, University of Nottingham, Nottingham, NG7 2RD, UK
4. State Key Laboratory of Earth Surface Processes and Resource Ecology(Beijing Normal University), Beijing 100875, China |
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Abstract With the global climate warming, reducing greenhouse gas emissions becomes a focused problem for the world. The carbon capture and storage (CCS) techniques could mitigate CO2 into atmosphere, but there is a risk in case that the CO2 leaks from underground. The objective of this paper is to study the chlorophyll contents (SPAD value), relative water contents (RWC) and leaf spectra changing features of beetroot under CO2 leakage stress through field experiment. The result shows that the chlorophyll contents and RWC of beetroot under CO2 leakage stress become lower than the control beetroot’, and the leaf reflectance increases in the 550 nm region and decreases in the 680nm region. A new vegetation index (R550/R680) was designed for identifying beetroot under CO2 leakage stress, and the result indicates that the vegetation index R550/R680 could identify the beetroots after CO2 leakage for 7 days. The index has strong sensitivity, stability and identification for monitoring the beetroots under CO2 stress. The result of this paper has very important meaning and application values for selecting spots of CCS project, monitoring and evaluating land-surface ecology under CO2 stress and monitoring the leakage spots by using remote sensing.
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Received: 2011-12-05
Accepted: 2012-02-29
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Corresponding Authors:
JIANG Jin-bao
E-mail: ahdsjjb@126.com
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