基于Sentinel-2A和GF-1B遥感数据的海岸带水产养殖识别方法比较

近海水产养殖为人类提供优质的动物蛋白,对海洋经济高质量发展具有重要意义。卫星遥感技术已被广泛用于海岸带水产养殖的监测,但目前相关的研究聚焦基于单一传感器卫星数据并使用单一信息提取算法而忽略与不同卫星传感器以及处理方法之间的比较。本研究以北莉岛东北部为研究区,基于多光谱Sentinel 2A卫星和高分一号B（GF 1B）卫星数据,分别使用自适应阈值法、支持向量机监督分类法以及多尺度分割面向对象分类法,开展海岸带人工水产养殖区的识别。研究表明,更高空间分辨率的GF 1B卫星对人工水产养殖水网密集区的提取正确率远优于Sentinel 2A卫星;基于高空间分辨率GF 1B卫星,多尺度分割面向对象分类法的正确率最高,为94.65%,优于支持向量机监督分类法的94.45%和自适应阈值法的84.62%;自适应阈值法更适用于中等空间分辨率卫星数据的水产养殖信息提取,其提取的水产养殖水面的面积与目视解译提取的面积差异小于4%。针对单个养殖池使用情况的业务化监测需使用高空间分辨率卫星数据,而大范围水产养殖面积的变化分析则可应用中等空间分辨率卫星数据。     

四川盆地东部再生稻高温伏旱区腋芽萌发期气象适宜度

以四川盆地东部再生稻高温伏旱区为研究区,基于气象条件对腋芽萌发期再生稻生长发育的影响机理,采用结构方程模型探明了腋芽萌发的影响因素、影响路径及影响强度。进一步结合隶属函数和层次分析法,构建了再生稻腋芽萌发气象适宜度模型,并分析了1981—2021年研究区腋芽萌发期气象影响因素及气象适宜度的变化特征。结果表明：气温、空气湿度、降水是四川盆地东部再生稻高温伏旱区腋芽萌发的关键影响因素,基于以上因素的气象适宜度模型能较好地评价再生稻腋芽萌发期的气象影响。1981—2021年研究区气温适宜度、空气湿度适宜度及综合气象适宜度均呈下降趋势,降水适宜度没有表现出明显的变化趋势。气温适宜度、空气湿度适宜度及综合气象适宜度总体呈“西高东低”的空间分布特征,降水适宜度则表现为“东西高、中部低”。1981—2021年研究区气温上升趋势与空气湿度下降趋势显著,导致致害高温（日平均气温≥32℃）积温和致害低湿（日平均相对湿度≤65％）日数明显增加,这是再生稻腋芽萌发期气象适宜度总体呈下降趋势的诱因。     

渤海湾盆地西部凹陷南段成岩相分析与优质储层预测

储层实测孔隙度、普通薄片、铸体薄片和扫描电镜的资料表明,渤海湾盆地辽河坳陷西部凹陷南段新生界储层在纵向上发育三个次生孔隙带。从而在一个普遍低孔渗背景下,形成了孔隙度相对较高的优质储层。优质储层的形成和分布主要受沉积微相和成岩作用的影响与控制。他们形成于河口坝、辫状分流河道以及心滩沉积微相,目前处于早成岩阶段B期—中成岩阶段A1亚期,发育溶蚀成岩相。该文通过模拟古地温、镜质组反射率、甾烷异构化率和自生石英含量随时间的变化规律,预测了西部凹陷南段成岩阶段和成岩相的横向展布。通过成岩相图和沉积相图的叠合,预测了沙三中亚段优质储层的分布。预测结果表明,优质储层主要发育于斜坡区的中部。     

Mastersize 2000 型激光粒度仪分析数据可靠性检验及意义——以洛川剖面S4层古土壤为例

黄土、古土壤剖面中物质粒度是恢复古环境的重要指标之一。精确地测定粒径的大小,是准确而可靠获取气候变化信息的基本前提。通过对洛川典型黄土剖面古土壤S 4及相临黄土层高密度、连续样品多次重复粒度测试结果经统计分析表明:粒径测量的误差主要来自于两方面,即仪器测量与前处理过程,其中前处理过程的影响是粒度测量中误差的主要来源。同时证明,单次测量结果具有不确定性,因此可靠的粒度参数需经多次测量平均获得。但是,此过程会导致某些快速变化信息的丢失和因峰态的平滑而造成粒度变化所反映的变化幅度弱化。     

A high accurate automated first-break picking method for seismic records from high-density acquisition in areas with a complex surface

As the application of high-density high-efficiency acquisition technology becomes more and more wide, the areas with complex surface conditions gradually become target exploration areas, and the first-break picking work of massive low signal-to-noise ratio data is a big challenge. The traditional method spends a lot of manpower and time to interactively pick first breaks, a large amount of interactive work affects the accuracy and efficiency of picking. In order to overcome the shortcoming that traditional methods have weak anti-noise to low signal-to-noise ratio primary wave, this paper proposes a high accurate automated first-break picking method for low signal-to-noise ratio primary wave from high-density acquisition in areas with a complex surface. Firstly, this method determines first-break time window using multi-azimuth spatial interpolation technology; then it uses the improved clustering algorithm to initially pick first breaks and then perform multi-angle comprehensive quality evaluation to first breaks according to the following sequence: ‘single trace → spread → single shot → multiple shots’ to identify the abnormal first breaks; finally it determines the optimal path through the constructed evaluation function and using the ant colony algorithm to correct abnormal first breaks. Multi-azimuth time window spatial interpolation technology provides the base for accurately picking first-break time; the clustering algorithm can effectively improve the picking accuracy rate of low signal-to-noise ratio primary waves; the multi-angle comprehensive quality evaluation can accurately and effectively eliminate abnormal first breaks; the ant colony algorithm can effectively improve the correction quality of low signal-to-noise ratio abnormal first breaks. By example analysis and comparing with the commonly used Akaike Information Criterion method, the automated first-break picking theory and technology studied in this paper has high picking accuracy and the ability to stably process low signal-to-noise ratio seismic data, has a significant effect on seismic records from high-density acquisition in areas with a complex surface and can meet the requirements of accuracy and efficiency for massive data near-surface modelling and statics calculation.     

基于Datist的测震分析月报自动产出技术研发

针对四川测震台网运行月报中关于测震分析章节编写过程中的程序化工作流程,依托于数据专家(Datist)自动化流程实现了数据源读取、数据清洗、目录统计、绘制震中分布图、计算速报结果自评和报告自动产出等功能,辅助完成月报生成。实践证明该成果可有效减轻地震监测人员的工作负担,提高工作效率。     

Decadal link between longitudinal morphological changes in branching channels of Yangtze estuary and movement of the offshore depo-center

In estuaries, the morphology of inland and offshore areas usually evolves synergistically. This study examines the decadal link between longitudinal changes in morphology of branching channels and movement of the offshore depo-center (where sediment deposition rate is maximum) of the Yangtze River estuary, under intense human interference. Integrated data analysis is provided on morphology, runoff discharge, and ebb partition ratio from 1950 to 2017. Channel-volume reductions and change rates between isobaths in branching channels reflect the impact of estuarine engineering projects. Ebb partition ratio and duration of discharge ≥ 60 000 m³ s^-1 act as proxies for the water excavating force in branching channels and runoff intensity. It is found that deposition occurs in the lower/upper sub-reaches (or further downstream/upstream channels) of the inland north/south branching channels, and the offshore depo-center moves southward or southeastward, as runoff intensity grows; the reverse occurs as runoff intensity declines. This is because the horizontal circumfluence in the Yangtze estuary rotates clockwise as ebb partition ratios of the north/south branching channels increase/decrease for increasing runoff, and conversely rotates anticlockwise for decreasing runoff. Land reclamation activities, the Deepwater Channel Project, and the Qingcaosha Reservoir have impacted greatly on longitudinal changes of morphology in the North Branch and the South Passage and on ebb partition ratio variations in the North/South Channel and the North/South Passage. Dam-induced runoff flattening has enhanced deposition in the upper/lower sub-reaches of the north/south branching channels and caused northward movement of the offshore depo-center, except in areas affected by estuarine engineering projects. Dam-induced longitudinal evolution of branching channel morphology and offshore depo-center movement will likely persist in the future, given the ongoing construction of large cascade dams in the upper Yangtze and the completion of major projects in the Yangtze estuary. © 2020 John Wiley & Sons, Ltd.     

Inter- and intra-annual trend analysis of water level and flow in the middle and lower reaches of the Ganjiang River,China

ABSTRACT

The Ganjiang River is the largest tributary of Poyang Lake in China, and its hydrological regime variation greatly affects the utilization of regional water resources and the ecological environment of the lake. In this study, a novel trend analysis method, the Moving Average over Shifting Horizon (MASH), was applied to investigate the inter- and intra-annual trends of flow and water level from 1976 to 2016 at the Xiajiang and the Waizhou hydrological stations in the Ganjiang River. The Significant Change Rate Method (SCRM) was proposed to determine the MASH averaging parameters. The trend analysis results show a statistically significant decrease in water level series throughout the year and the relationship of flow and water level have changed greatly at the Waizhou station. The sediment load reduction, large-scale sand mining and water level decrease of Poyang Lake are identified as the main causes for the water level decrease.     

2019年四川长宁6.0级地震序列时空演化特征及其地震构造环境研究

地震序列类型能够直观地反映构造应力场环境、 地震构造及孕震环境介质的差异性。 主—余型地震多发生在相对均匀的介质环境, 而前—主—余型地震及震群型地震往往发生在复杂的构造环境。 2019年6月17日四川省宜宾市长宁县发生的6.0级地震余震活动总体呈NW向分布, 其南东段的余震呈相对单一的NW向条带状, 而北西段的余震活动呈现丛集的特征。 两段的地震序列类型也表现出明显的差异性, 南东段地震序列为主—余型, 序列衰减速度较快; 北西段地震序列为震群型, 序列初期衰减非常缓慢, 余震丰富。 此次6.0级地震序列发生在长宁—双河大背斜上, 该复式背斜主要由多个次级褶皱构造和不同走向的伴生断层组成, 结构复杂。 长宁6.0级地震序列的分段性特征表明, 该地震序列不是发生在单一的断裂构造上, 为多个构造级联破裂所导致的复合型地震序列。 此外, 序列北西段余震的深度逐渐变深, 可能预示着该区域受华蓥山断裂带活动的影响, 地震序列对华蓥山断裂带未来地震活动的影响应引起关注。     

2020年2月3日四川青白江5.1级地震总结

针对2020年2月3日四川青白江5.1级地震发生前的地震活动和地球物理观测异常、构造背景、震源物理参数,以及地震序列特征等进行系统总结。结果表明,青白江5.1级地震发生前存在小震调制比高值、地磁低点位移、重力固体潮高噪声等中短期异常;地震序列活动特征显示,此次地震为一次孤立型地震序列,序列参数计算结果与当前余震活动水平基本相符。另外,青白江地震发生在龙泉山断裂带上,震源机制计算结果显示为一次逆冲型破裂事件,与龙泉山断裂构造性质一致。同时,此次地震发生在四川盆地的少震弱震区,对于川滇及川滇藏交界地区后续7级以上地震的发生具有一定预测意义。