云南中东部地区M≥6地震潜在震源区的综合图像识别
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摘要
利用云南中东部地区多年来有关的地震地质、地球物理、地壳形变等方面的研究成果,分析选定了15个与强震较为相关的特征标志,并通过图像识别方法最终筛选出12 个标志作为特征参数。通过综合图像识别在100个研究对象中得到了47个M≥6地震的潜在震源区,再在确定出的有可能发生及原已发生过6级地震的49个研究区中识别出27 个M≥7 地震的潜在震源区,给出了云南中东部地区中强震潜在震源区预测图。
Based on the data of seismogeology,geophysics and crustal deformation in contral and eastern Yunnan province in recent years,the 15 characteristic parameters which are closely correlated to strong earthquakes are analysed and selected. Among the 15 parameters,12 are choosed by sieving method of pattern distinction as the final parameters. Using the means of synthetic pattern distinction, 47 potential seismic focus areas for M≥ 6 earthquake from 100 studying areas are determined. Then,27 potential seismic focus areas for M≥7 earthquake are obtained from 49 studying areas in which the M 6 earthquakes have occurred or will occure possibilly. On this foundation, a predictive map of potential seismic source areas for moderate-strong earthquake in Central and eastern Yunnan province is put forward.
Based on the data of seismogeology,geophysics and crustal deformation in contral and eastern Yunnan province in recent years,the 15 characteristic parameters which are closely correlated to strong earthquakes are analysed and selected. Among the 15 parameters,12 are choosed by sieving method of pattern distinction as the final parameters. Using the means of synthetic pattern distinction, 47 potential seismic focus areas for M≥ 6 earthquake from 100 studying areas are determined. Then,27 potential seismic focus areas for M≥7 earthquake are obtained from 49 studying areas in which the M 6 earthquakes have occurred or will occure possibilly. On this foundation, a predictive map of potential seismic source areas for moderate-strong earthquake in Central and eastern Yunnan province is put forward.
引文
①云南省地质局。云南地质构造图(1:50万).1979.
②云南省地质局区调队地质力学研究组.云南省构造体系图(1:75万).1979.
③云南省地震局测量队.云贵地区形变等值线图.1982.
④云南省地矿局物探大队.云南省剩余重力异常图.1987.
⑤云南省地矿局物探大队.云南省布格重力异常图(1:100万).1987.
⑥云南省地矿局物探大队.云南省航空磁测ΔT平面图(1:50万).1985.
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[2]王碧泉,杨锦英,王春珍.大震前地震活动的图像识别[J].地震学报,1982,4(2):105-115.
[3]王碧泉,王春珍.对连续Hamming方法的改进及其在潜在震源判定中的应用[J].地震学报,1988,10(2):113-123.
[4]吕宏伯,聂金宗,陈祖荫,等.Hamming分类方法的改进及其在地震区划中的应用[J].地震学报,1986,8(增刊):143-153.
[5]马秀芳,王春珍,王碧泉.用模式识别方法确定北京及其临区易发生地震的地点[J].地震学报,1985,7(4):374-384.
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[9]黄德瑜,梅世蓉,刘蒲雄,等.华北地震潜在危险区图像识别的空间扫描[J].中国地震,1988,4(3):71-75.
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[13]朱成男.小江断裂全新世运动速率测定与地震危险性评价[A].见:史前地震与第四纪地质文集[C].西安:陕西科学技术出版社,1982.
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[15]俞维贤,王晋南,毛玉平.滇西地震重点监视防御区中强地震潜在震源区的综合图像识别[J].地震研究,1993,16(4):350-358.
[16]顾功叙主编.中国地震目录[M].北京:地震出版社.1983.
[17]姜朝松,樊友心,邵德晟,等.昆明市地面沉降[M].昆明:云南科技出版社,1999.
②云南省地质局区调队地质力学研究组.云南省构造体系图(1:75万).1979.
③云南省地震局测量队.云贵地区形变等值线图.1982.
④云南省地矿局物探大队.云南省剩余重力异常图.1987.
⑤云南省地矿局物探大队.云南省布格重力异常图(1:100万).1987.
⑥云南省地矿局物探大队.云南省航空磁测ΔT平面图(1:50万).1985.
[1] GelfandI M, shA Guberman,M L Lzvekoua, et al..Cria ofHighSeismicity.Determined byPattarmRaognition[J].Te honophysics,1977,13:415-422.
[2]王碧泉,杨锦英,王春珍.大震前地震活动的图像识别[J].地震学报,1982,4(2):105-115.
[3]王碧泉,王春珍.对连续Hamming方法的改进及其在潜在震源判定中的应用[J].地震学报,1988,10(2):113-123.
[4]吕宏伯,聂金宗,陈祖荫,等.Hamming分类方法的改进及其在地震区划中的应用[J].地震学报,1986,8(增刊):143-153.
[5]马秀芳,王春珍,王碧泉.用模式识别方法确定北京及其临区易发生地震的地点[J].地震学报,1985,7(4):374-384.
[6]王玉秀,杨锦英,马淑田,等.用Fisher方法划分地震活动期[J].地震学刊,1988,2:7-12.
[7] 张郢珍,粟生平,李革平.华北近期地震危险区的确定要素和综合图像识别[J].中国地震,1985,1(4):18-26.
[8]丁韫玉,杜兴信,易学发,等.应用模式识别定量划分潜在震源区[J].地震研究,1990,13(2):122-130.
[9]黄德瑜,梅世蓉,刘蒲雄,等.华北地震潜在危险区图像识别的空间扫描[J].中国地震,1988,4(3):71-75.
[10]宋方敏,汪一鹏,俞维贤,等.小江活动断裂带[M].北京:地震出版社,1998.
[11]李坪主编.鲜水河-小江断裂带[M].北京:地震出版社.
[12]何宏林,李坪,方仲景.滇东南楔形构造区发震构造背景探讨[J].地震地质,1992,14(4):217-226.
[13]朱成男.小江断裂全新世运动速率测定与地震危险性评价[A].见:史前地震与第四纪地质文集[C].西安:陕西科学技术出版社,1982.
[14]韩慕康,柴天俊,董兴权.云南南部橘麓湖的全新世变迁及其通海震区新构造运动的关系[J].地质评论,1981,(6):491-495.
[15]俞维贤,王晋南,毛玉平.滇西地震重点监视防御区中强地震潜在震源区的综合图像识别[J].地震研究,1993,16(4):350-358.
[16]顾功叙主编.中国地震目录[M].北京:地震出版社.1983.
[17]姜朝松,樊友心,邵德晟,等.昆明市地面沉降[M].昆明:云南科技出版社,1999.
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