Landscape Dynamics and Driving Factors in Da＇an County of Jilin Province in Northeast China During 1956-2000

The landscape pattern of Da＇an County, Northeast China has undergone significant changes since the 1950s as a result of climatic change and human activities. The aim of this paper is to quantitatively study landscape pattern and its spatial dynamics of Da＇an County at the landscape level over the nearly 50-year span. Patch dynamics were examined according to land use and land cover change processes built from a series of images, as well as topographic maps, and temporal patterns built from landscape pattern metrics. The transition matrix of landscape patch types and changes of various landscape metrics were applied. The results showed that, from 1956 to 2000, the landscape within the study area had undertaken a complicated evolution in landscape structure and composition. The outstanding characteristic is that saline-alkali land increased and grassland decreased. As some smaller patches amalgamated, the heterogeneity of patch decreased. All those changes were the synthetic result of both climatic and anthropogenic influences, but the predominant factor was different in different parts. In the southern part of the study area, the landscape pattern changes resulted from the modification of climate obviously, while in the northern part, the landscape pattern changes were mainly caused by human activities, such as the conversion between farmland and saline-alkali land. This phenomenon showed that human activities played more important role in the north than in the south of Da＇an County.     

Influencing factors for formation of urban and rural spatial structure in metropolis fringe area—Taking Shuangliu County of Chengdu in China as a case

With rapid urbanization process, the pace of urban sprawl has been quickened and most metropolises have experienced expansions in leaps and bounds in suburbanization, which has greatly changed the urban and rural spatial structure of the metropolis fringe area. In this paper, Shuangliu County is taken as a case, since it is a typical fringe area of Chengdu Metropolis. Based on Landsat TM images of Chengdu City and Shuangliu County obtained in 1985, 2000 and 2004, characteristics of urban and rural spatial structure in Shuangliu County were analyzed, such as core-periphery spatial structure and some obvious integration trends. Then the influencing factors for the formation of urban and rural spatial structure were identified, including some natural, social, economic and political factors. According to the discussion of this paper, Shuangliu County is undergoing a key transition and reform period. Its formation of urban and rural spatial structure was affected not only by such common factors as the location, natural background, industrial transition, migration, etc., but also by some unique factors such as city planning and policy guidance, which played an important role in accelerating its uneven spatial structure. The understanding of the role of the influencing factors would be useful for carrying out spatial management and development planning of metropolis fringe area.     

西南地区近21年来NDVI变化特征分析

利用美国国家航天航空局（NASA）归一化植被指数（GIMMS NDVI）资料,初步分析了近21年（1982~2002）来西南地区植被变化特征。结果发现：21年来西南地区植被覆盖状况较好,总体呈增加趋势,同时也存在较明显的季节和区域差异：春季西南大部分地区植被呈较明显的增加趋势。夏季全区NDVI以显著的减小趋势为主,尤以90年代中期以后更为明显。秋季NDVI与夏季类似同样表现为减少趋势,并且范围有所增加。冬季ND-VI以增加为主,存在明显的东西反向特征,东部以减少为主,西部则以增加为主。     

Outburst risk of barrier lakes in Sichuan,China

34 barrier lakes induced by earthquake have been formed by wedged debris on the river channels after a massive earthquake happening on May 12 in Sichuan, China. Among them, the Tangjiashan Barrier Lake is the largest one. It faces very urgent risk of dam breaking when water level reaches the top and begins overflow in case of storm rainfalls and continually aftershocks, threatening already devastated cities and villages with about 1.5 million people downstream. The outburst of a similar barrier lake occurred in the Minjiang River in 1933, causing a catastrophic flood. Risk analysis indicates that not all barrier lakes are highly dangerous. Only those lakes with very high dams and water to be filled up in short period need to be dealt with immediately.     

中国海相碳酸盐岩的储层类型、勘探领域及勘探战略

中国海相碳酸盐岩有效储层成因类型主要包括古风化壳岩溶储层、礁滩储层及层状白云岩储层三大类。陆上中—古生界盆地三类储层均有分布,海上第三系盆地主要发育礁滩储层。针对我国海相油气地质特别是陆上中—古生界油气成藏的复杂性,提出应该加强对勘探及认识程度相对较低的礁滩储层形成的原生岩性-成岩圈闭油气藏的研究与勘探工作。石灰岩古风化壳岩溶储层具有强烈的非均质性,白云岩储层的含油气性比较依赖于有效储盖组合及构造圈闭。鉴于我国海相油气资源潜力巨大、勘探程度较低,故应该加强海相油气资源特别是陆上主要盆地海相油气资源及南海油气资源的研究与勘探开发,尤其要加强层序地层及岩相古地理编图等基础油气地质研究工作。     

基于卫星遥感的南海海域POC浓度时空变化特征研究

海水中颗粒有机碳(POC)是海洋碳循环的基本变量,在海洋碳循环研究中起着关键作用。根据2003—2020年南海区域遥感数据反演的POC数据集,分析了南海海域POC浓度时空变化规律。研究结果表明:在整个研究区POC的年平均浓度变化范围为76.98~83.91 mg/m^(3);POC浓度分布呈现出近岸高、远海低,主要原因为南海近岸浅水海域POC浓度主要受陆源输入和沿岸流影响,远海区域内POC浓度主要受南海环流和水团控制。在季度上,第1—4季度POC浓度平均值为89.62,72.90,79.22,84.86 mg/m^(3);总体上POC浓度呈现出夏季低、冬季高的趋势,主要原因为南海受到冬季的东北季风和夏季的西南季风影响,影响到南海海水混合层的结构变化,浮游植物在冬季比夏季更为繁盛。在月尺度上,1月POC浓度平均值达到最高值;2—4月POC浓度平均值快速下降,5月POC浓度平均值达到最低值;6—12月POC浓度平均值开始缓慢上升。以上研究结论可为南海碳循环、政府碳达峰、碳中和及应对气候变化等提供决策依据。     

南海南部近50万年来沉积物特点及古环境意义

对南海南部MD05-2897孔沉积物的分析显示,该孔涵盖氧同位素1~12期,底界年龄约为50万年。碳酸钙含量曲线形态基本与底栖有孔虫氧同位素曲线平行,即碳酸钙高值对应氧同位素轻值,呈现典型的大西洋型碳酸钙分布模式。碳酸钙含量在冰消期的高值出现及含量变化均领先于氧同位素,证明低纬海区"碳酸钙泵"对大气二氧化碳浓度和温度的作用。粒度分析显示,3~5μm组分含量曲线的变化与氧同位素曲线基本平行,说明它主要受海平面升降变化控制,可作为海平面变化的间接指标。而1.5~2.5μm粒级颗粒主要通过河流的悬浮搬运,直接受亚洲夏季风及其所带来降雨的影响,可间接反映夏季风的强弱变化。南海南部深海沉积中的季风记录具有0.1 Ma偏心率周期,40 ka斜率周期,20 ka岁差和10 ka半岁差周期等丰富的频谱,显示出低纬度海区气候变化对轨道周期的良好响应。     

南海中南部表层沉积物黏土矿物分布及控制因素

利用南海中南部表层沉积物151个样品中黏土矿物的测试数据,计算了主要黏土矿物含量的平均值并编制分布图,据此分析黏土矿物的分布特征及其控制因素。南海中南部表层沉积物中的黏土矿物组合类型为伊利石-蒙脱石-高岭石-绿泥石,含量平均值依次为47%、19%、17%和16%。高岭石含量分布具有北部低、南部高的特点,与之对应的是蒙脱石矿物含量呈现北部高、南部低的趋势。伊利石和绿泥石含量分布规律不甚明显。前者呈现北部略高、南部稍低的分布趋势,含量变化起伏较大;后者的含量变化呈西北陆坡区稍偏低,其他部位含量分布均匀的趋势。伊利石/高岭石含量的比值变化与高岭石含量变化呈明显的负相关关系。从黏土矿物含量的分布规律来看,控制本区黏土矿物分布的主要因素有物源的搬运和输送、水动力条件变化、海底火山活动、地球化学环境影响等。     

基于多源卫星数据的南海油气井平台遥感提取方法研究——以湄公盆地周边海域为例

文章以湄公盆地周边海域为研究区,利用遥感技术手段,综合多时相、多源卫星数据,探讨不同数据源海上油气井平台提取方法。本次研究,首先基于1992—2018年27景多时相夜间灯光数据和2019年两期SAR数据,分别采用高斯滤波法和双参数CFAR法,实现了全区域油气井平台的自动化提取;然后,针对有确定性资料辅助判定的区域,采用人工目视解译的方法,对长时间序列Landsat-8 OLI及YG24号光学卫星影像进行提取,并将解译结果作为标准数据,用于验证前两种自动提取方法的精度。结果表明：夜间灯光影像数据易获取、成本低,提取方法简单,而SAR影像提取结果的精度高、流程烦琐,建议根据多源卫星数据的特点相互结合,实现快速、高效、精确的信息提取,应用于海上油气井平台监测。     

预测华北地区年度地震趋势的支持向量机分类方法

以太阳黑子数、地球自转速率变化数据和全球7级以上地震应变释放量作为预测因子,使用支持向量机分类方法建模预测中国华北地区年度地震强度,预测准确率为0.93,表明该方法具有较好的预测效果.