国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2015年
1期
81-86
,共6页
荆凤%申旭辉%康春丽%熊攀
荊鳳%申旭輝%康春麗%熊攀
형봉%신욱휘%강춘려%웅반
地表温度(LST)%长波辐射(OLR)%地震监测
地錶溫度(LST)%長波輻射(OLR)%地震鑑測
지표온도(LST)%장파복사(OLR)%지진감측
land surface temperature ( LST)%outgoing long wave radiation( OLR)%earthquake monitoring
从数据本身特征及其应用2个方面对地震监测中常用的地表温度( land surface temperature,LST)和长波辐射( outgoing longwave radiation,OLR)数据进行了对比分析。利用全球数据进行的对比分析结果表明,2种数据在高纬度和中纬度地区具有空间分布上的一致性,但在赤道及低纬度地区则表现出明显差异,认为这一差异与云量分布关系密切;根据我国大陆的云量分布特点选择特征点进行LST和OLR的对比分析表明,云量大于65%的区域,二者的同步性较差,云量低于65%的区域,则同步性较好。据此,以同步性较好的青海地区和同步性较差的中南部区域为试验区,对比了2种数据的涡度计算结果。研究表明,在地震监测应用中,利用2种数据获得的地震异常信息在时、空、强特征上表现为相同或不同都是可能的,LST主要是对增温现象的反映,而OLR则侧重于对整个地-气系统异常的综合反映。
從數據本身特徵及其應用2箇方麵對地震鑑測中常用的地錶溫度( land surface temperature,LST)和長波輻射( outgoing longwave radiation,OLR)數據進行瞭對比分析。利用全毬數據進行的對比分析結果錶明,2種數據在高緯度和中緯度地區具有空間分佈上的一緻性,但在赤道及低緯度地區則錶現齣明顯差異,認為這一差異與雲量分佈關繫密切;根據我國大陸的雲量分佈特點選擇特徵點進行LST和OLR的對比分析錶明,雲量大于65%的區域,二者的同步性較差,雲量低于65%的區域,則同步性較好。據此,以同步性較好的青海地區和同步性較差的中南部區域為試驗區,對比瞭2種數據的渦度計算結果。研究錶明,在地震鑑測應用中,利用2種數據穫得的地震異常信息在時、空、彊特徵上錶現為相同或不同都是可能的,LST主要是對增溫現象的反映,而OLR則側重于對整箇地-氣繫統異常的綜閤反映。
종수거본신특정급기응용2개방면대지진감측중상용적지표온도( land surface temperature,LST)화장파복사( outgoing longwave radiation,OLR)수거진행료대비분석。이용전구수거진행적대비분석결과표명,2충수거재고위도화중위도지구구유공간분포상적일치성,단재적도급저위도지구칙표현출명현차이,인위저일차이여운량분포관계밀절;근거아국대륙적운량분포특점선택특정점진행LST화OLR적대비분석표명,운량대우65%적구역,이자적동보성교차,운량저우65%적구역,칙동보성교호。거차,이동보성교호적청해지구화동보성교차적중남부구역위시험구,대비료2충수거적와도계산결과。연구표명,재지진감측응용중,이용2충수거획득적지진이상신식재시、공、강특정상표현위상동혹불동도시가능적,LST주요시대증온현상적반영,이OLR칙측중우대정개지-기계통이상적종합반영。
Land surface temperature ( LST) and outgoing long wave radiation ( OLR) , which are commonly used in seismic monitoring, were compared and analyzed from their own characteristics and seismic applications. The analytical results of the global data show that LST and OLR at high latitudes and mid - latitudes have the consistency in spatial distribution, but show a significant difference in equatorial and low -latitude regions, and this difference is closely related to the global total cloud amount. The results of feature points selected according to the cloudiness distribution in China ’ s mainland show that LST and OLR have poor synchronization in the region whose cloud amount is greater than 65% and show better synchronization in the region whose cloud amount is less than 65%. On such a basis, the authors selected Qinghai region where the synchronization is relatively good and mid-south China where the synchronization is poor as the test areas. The results achieved show that the spatial, temporal and intensity characteristics of two types of data can be either identical or different, as shown by the comparison between the two computing results using the vorticity method. LST mainly reflects the warming temperature phenomenon whereas OLR is focused on a comprehensive reflection of the whole earth -atmosphere system.