CAJ | 학술논문

温室气体（CO2）过量排放可以导致全球气候变暖，而碳捕捉与储存（carbon capture and storage ， CCS）技术是一种减少CO2气体排放的有效措施。但存储在地下的CO2有泄漏的风险，如何快速监测CO2轻微泄漏点是一个值得研究的问题。该文通过野外模拟实验，研究草地和大豆在CO2轻微泄漏胁迫下的冠层光谱特征，构建CO2轻微泄漏点高光谱遥感探测模型。在2008年5月—9月于英国诺丁汉大学Sutton Bonington校区（52.8N ，1.2W）进行了野外模拟实验。实验共设置16个小区，8个草地及8个大豆地，其中各有4个小区进行CO2泄漏胁迫。冠层光谱采用美国ASD光谱仪进行测量，草地测量了6次数据，大豆地测量了3次数据。实验结果表明，草地与大豆地的冠层光谱反射率在580～680 nm波段范围内随CO2泄漏胁迫程度的增大而增大，且在整个试验期内都保持同样的规律，因此构建面积指数AREA（580～680 nm）（光谱曲线在580～680 nm波段范围内包围的面积）识别遭受CO2泄漏胁迫下的植被。通过J‐M 距离检验，发现该指数能够较好地识别出CO2轻微泄漏胁迫下center区与core区的草地，但对edge区草地的识别能力不足（J‐M距离小于1.8）；该指数可以可靠且稳健地识别出遭受CO2轻微泄漏胁迫的大豆。该研究结果可为未来应用高光谱遥感探测CO2轻微泄漏点提供理论依据与方法支持。
온실기체（CO2）과량배방가이도치전구기후변난，이탄포착여저존（carbon capture and storage ， CCS）기술시일충감소CO2기체배방적유효조시。단존저재지하적CO2유설루적풍험，여하쾌속감측CO2경미설루점시일개치득연구적문제。해문통과야외모의실험，연구초지화대두재CO2경미설루협박하적관층광보특정，구건CO2경미설루점고광보요감탐측모형。재2008년5월—9월우영국낙정한대학Sutton Bonington교구（52.8N ，1.2W）진행료야외모의실험。실험공설치16개소구，8개초지급8개대두지，기중각유4개소구진행CO2설루협박。관층광보채용미국ASD광보의진행측량，초지측량료6차수거，대두지측량료3차수거。실험결과표명，초지여대두지적관층광보반사솔재580～680 nm파단범위내수CO2설루협박정도적증대이증대，차재정개시험기내도보지동양적규률，인차구건면적지수AREA（580～680 nm）（광보곡선재580～680 nm파단범위내포위적면적）식별조수CO2설루협박하적식피。통과J‐M 거리검험，발현해지수능구교호지식별출CO2경미설루협박하center구여core구적초지，단대edge구초지적식별능력불족（J‐M거리소우1.8）；해지수가이가고차은건지식별출조수CO2경미설루협박적대두。해연구결과가위미래응용고광보요감탐측CO2경미설루점제공이론의거여방법지지。
With the global warming ,people now pay more attention to the problem of the emission of greenhouse gas (CO2 ) . Carbon capture and storage (CCS) technology is an effective measures to reduce CO2 emission .But there is a possible risk that the CO2 might leak from underground .However ,there need to research and develop a technique to quickly monitor CO2 leaking spots above sequestration fields .The field experiment was performed in the Sutton Bonington campus of University of Notting‐ham(52.8N ,1.2W) from May to September in 2008 .The experiment totally laid out 16 plots ,grass(cv Long Ley) and beans (Vicia faba cv Clipper) were planted in eight plots ,respectively .However ,only four grass and bean plots were stressed by the CO2 leakage ,and CO2 was always injected into the soil at a rate of 1 L?min-1 .The canopy spectra were measured using ASD instrument ,and the grass was totally collected 6 times data and bean was totally collected 3 times data .This paper study the canopy spectral characteristics of grass and beans under the stress of CO2 microseepages through the field simulated experiment , and build the model to detect CO2 microseepage spots by using hyperspectral remote sensing .The results showed that the canopy spectral reflectance of grass and beans under the CO2 leakage stress increased in 580~680 nm with the stressed severity eleva‐ting ,moreover ,the spectral features of grass and beans had same rule during the whole experimental period .According to the canopy spectral features of two plants ,a new index AREA(580~680 nm) was designed to detect the stressed vegetations .The index was tested through J‐M distance ,and the result suggested that the index was able to identify the center area and the core area grass under CO2 leakage stress ,however ,the index had a poor capability to discriminate the edge area grass from control .Then , the index had reliable and steady ability to identify beans under CO2 leakage stress .This result could provide theoretical basis and methods for detecting CO2 leakage spots using hyperspectral remote sensing in the future .