海南典型热带海草床4种代表性鱼类的生长特征及其对海草资源量变化的响应

文章以海南岛新村湾、黎安港和潭门港海草床为研究区域, 选取褐篮子鱼(Siganus fuscessens)、点斑篮子鱼(Siganus guttatus)、四带牙鯻(Pelates quadrilineatus)和细鳞鯻(Terapon jarbua) 4种代表性鱼类为研究对象, 分析其体长与体质量的关系, 并探讨4种鱼类对海草资源量变化的响应。结果表明, 除栖息于潭门港海草床的4种鱼为负异速生长, 其他区域海草床的鱼类均为正异速或等速生长; 4种鱼的体质量生长速率(即异速生长因子b)和肥满度呈现黎安港>新村湾>潭门港的趋势, 并与3个海草床的海草覆盖率、密度和生物量的变化趋势一致; 推测海草资源量下降可能增加鱼类的被捕食压力和减少食物来源, 从而导致生活于海草床的代表性鱼类生长速率下降。     

南海开放共享航次关键科学问题的思考——从多尺度海洋动力学角度出发

南海是西太平洋最大的边缘海, 通过一系列的海峡与西太平洋和印度洋相联通, 其不同时空尺度的海洋环流动力过程及其生态环境效应是南海区域海洋学研究的重要内容。自20世纪50年代末全国第一次海洋普查开始, 我国对海洋调查的支持力度不断加大, 以科学考察船为代表的海洋科学观测平台建设不断加强; 进入新千年以来, 国内海洋科考船依托的各主要研究所和院校本着开放的理念, 先后组织多单位联合进行海上观测。尤其是最近10年, 国家自然科学基金委员会支持实施了船时共享航次计划, 进一步促进了国内海洋界的交流和合作, 南海区域海洋学的相关研究取得了很多重要的成果。从多尺度环流动力学的角度出发, 本文简要回顾了南海海洋观测的发展历程, 并初步总结了近些年来南海关键科学问题的研究进展, 包括南海和西太平洋的水体交换过程、南海中小尺度过程、多尺度相互作用及其生态环境效应等; 并且在现有的研究基础上, 对未来南海的观测和科学问题提出若干思考与展望。     

Size and spatial distribution of loess slides on the Chinese Loess Plateau

ABSTRACT

The size and spatial distribution of loess slides are important for estimating the yield of eroded materials and determining the landslide risk. While previous studies have investigated landslide size distributions, the spatial distribution pattern of landslides at different spatial scales is poorly understood. The results indicate that the loess slide distribution exhibits a power-law scaling across a range of the size distribution. The mean landslide size and size distribution in the different geomorphic types are different. The double Pareto and inverse gamma functions can coincide well with the empirical probability distribution of the loess slide areas and can quantitatively reveal the rollover location, maximum probability, and scaling exponents. The frequency of loess slides increases with mean monthly precipitation. Moreover, point distance analysis showed that > 80% of landslides are located < 3 km from other loess slides. We found that the loess slides at the two study sites (Zhidan and Luochuan County) in northern Shaanxi Province, China show a significant clustered distribution. Furthermore, analysis results of the correlated fractal dimension show that the landslides exhibit a dispersed distribution at smaller spatial scales and a clustered distribution at larger spatial scales.     

Generation of continuous surface soil moisture dataset using combined optical and thermal infrared images

Surface soil moisture (SSM) is a critical variable for understanding water and energy flux between the atmosphere and the Earth's surface. An easy to apply algorithm for deriving SSM time series that primarily uses temporal parameters derived from simulated and in situ datasets has recently been reported. This algorithm must be assessed for different biophysical and atmospheric conditions by using actual geostationary satellite images. In this study, two currently available coarse‐scale SSM datasets (microwave and reanalysis product) and aggregated in situ SSM measurements were implemented to calibrate the time‐invariable coefficients of the SSM retrieval algorithm for conditions in which conventional observations are rare. These coefficients were subsequently used to obtain SSM time series directly from Meteosat Second Generation (MSG) images over the study area of a well‐organized soil moisture network named REMEDHUS in Spain. The results show a high degree of consistency between the estimated and actual SSM time series values when using the three SSM dataset‐calibrated time‐invariable coefficients to retrieve SSM, with coefficients of determination (R²) varying from 0.304 to 0.534 and root mean square errors ranging from 0.020 m³/m³ to 0.029 m³/m³. Further evaluation with different land use types results in acceptable debiased root mean square errors between 0.021 m³/m³ and 0.048 m³/m³ when comparing the estimated MSG pixel‐scale SSM with in situ measurements. These results indicate that the investigated method is practical for deriving time‐invariable coefficients when using publicly accessed coarse‐scale SSM datasets, which is beneficial for generating continuous SSM dataset at the MSG pixel scale.     

Revised runoff curve number for runoff prediction in the Loess Plateau of China

The soil conservation service (now Natural Resources Conservation Service) Curve Number (SCS-CN), one of the most commonly used methods for surface runoff prediction. The runoff calculated by this method was very sensitive to CN values. In this study, CN values were calculated by both arithmetic mean (CN_C) and least square fit method (CN_F) using observed rainfall-runoff data from 43 sites in the Loess Plateau region, which are considerably different from the CN₂ values obtained from the USDA-SCS handbook table (CN_T). The results showed that using CN_C instead of CN_T for each watershed produce little improvement, while replacing CN_T with CN_F improves the performance of the original SCS-CN method, but still performs poorly in most study sites. This is mainly due to the SCS-CN method using a constant CN value and discounting of the temporal variation in rainfall-runoff process. Therefore, three factors—soil moisture, rainfall depth and intensity—affecting the surface runoff variability are considered to reflect the variation of CN in each watershed, and a new CN value was developed. The reliability of the proposed method was tested with data from 38 watersheds, and then applied to the remaining five typical watersheds using the optimized parameters. The results indicated that the proposed method, which boosted the model efficiencies to 81.83% and 74.23% during calibration and validation cases, respectively, performed better than the original SCS-CN and the Shi and Wang (2020b) method, a modified SCS-CN method based on tabulated CN value. Thus, the proposed method incorporating the influence of the temporal variability of soil moisture, rainfall depth, and intensity factors suggests an accurate runoff prediction for general applications under different hydrological and climatic conditions on the Loess Plateau region.     

X射线衍射技术应用于宝石鉴定-合成及晶体结构研究进展

因宝石检测常附带无损要求、宝石评价具科学性和不确定性等特点,X射线衍射(XRD)在宝石学这门矿物学的分支学科中的应用具有特殊性,其应用领域主要集中在三个方面。①宝石鉴定领域:对单晶宝石和多晶宝石进行物相鉴定、宝石产地特征研究以及宝石矿物多型的种类划分等。例如根据XRD图谱,可将品种繁多的微晶石英隐晶质变种玉髓中不同的SiO₂质矿物相精确区分;通过黏土矿物成分及其含量可将鸡血石中"地"的种类进行划分。②宝石矿物的晶体结构研究:对成分复杂的单晶宝石进行晶体化学分析、获取矿物类质同象替代情况、利用结晶度划分宝石品质。例如晶格参数中的c/a比值可将绿柱石的Al八面体类质同象替代和Be四面体类质同象替代进行区分;软玉中通过XRD数据计算出的结晶度与软玉的品质关系密切。③宝石学研究技术的开发:对宝石的优化处理过程进行监测,在宝石合成过程中检验矿物晶形大小、结晶质量及内应力等,以有机宝石的晶体结构为基础的人工养殖技术研究。例如尖晶石在热处理过程中,Mg离子由四面体中的T位迁移至八面体中的M位,导致M-O和T-O键长随温度变化,并反映在尖晶石的色调中;在托帕石合成过程中,XRD数据显示770~800℃时形成含氟托帕石(与天然托帕石结构相同),而在950℃和1000℃出现含氟托帕石离解成刚玉和莫来石。目前,我国在宝石学的XRD应用方面起步较晚,国外在宝石鉴定、优化与合成方面的应用相对成熟。本文认为,该技术与扫描电镜、质子探针等分析技术的联用仍有很大发展空间。     

准噶尔盆地油气源、油气分布与油气系统

准噶尔盆地是中国西部典型的多旋回叠合盆地,发育有石炭系、二叠系、三叠系、侏罗系、白垩系和古近系6套烃源岩,同时存在6大类原油和3大类天然气,广泛分布于盆地不同地区。西北缘原油总体相似,碳同位素组成轻(δ~(13)C-29‰),胡萝卜烷、类异戊二烯烷烃、三环萜烷、伽马蜡烷丰富,甾烷以C_(28)、C_(29)为主,基本没有重排甾烷,为第二类原油,来源于二叠系湖相烃源岩。腹部绝大多数原油与西北缘原油相似,但胡萝卜烷、类异戊二烯烷烃、伽马蜡烷等有差异,来源于不同凹陷的二叠系湖相烃源岩;少量原油碳同位素组成重(δ~(13)C-28‰~-26‰),Pr/Ph大于2.5,三环萜烷以C_(19)、C_(20)为主,藿烷丰富而伽马蜡烷极低,以C_(29)规则甾烷及重排甾烷为主,为第四类原油,来源于侏罗系煤系烃源岩。东部存在5种类型原油,第一类原油碳同位素组成特别重(δ~(13)C-26‰),来源于石炭系烃源岩;第二类原油与腹部地区绝大多数原油十分相似,来源于二叠系湖相烃源岩;第三类原油碳同位索组成轻,重排甾烷、Ts、C_(29)Ts及C_(30)重排藿烷异常丰富,来源于中上三叠统湖相烃源岩;第四类原油源于侏罗系煤系烃源岩;混合类原油为二叠系、三叠系、侏罗系原油的混合,各自贡献平均分别为20%、15%和65%。南缘存在4类典型原油,为第二、第四、第五和第六类原油,其中第二、第四类分别源于二叠系和侏罗系;第五类原油碳同位素组成轻(δ~(13)C-29‰)、Pr/Ph1.0、伽马蜡烷丰富且有两个异构体、Ts、C_(29)Ts、C_(30)重排藿烷、C_(27)~C_(29)异胆甾烷及C_(30)甲基甾烷丰富,来源于白垩系湖相烃源岩;第六类原油主要为中低成熟原油,碳同位素组成δ~(13)C~28‰~-26‰,C_(27)、C_(28)、C_(29)甾烷呈"V"型分布,甲藻甾烷异常丰富,来源于古近系湖相烃源岩。准噶尔盆地天然气有油型气、混合气和煤型气,前两类主要来源于二叠系湖相烃源岩和石炭系海相烃源岩,煤型气主要来源于石炭系和侏罗系煤系烃源岩。不同类型油气分布与不同时代烃源灶具有良好对应关系:石炭系油气主要分布于陆东-五彩湾;二叠系油气主要分布于西北缘、腹部与东部;三叠系原油仅分布于东部;侏罗系原油主要分布于东部与南部;白垩系原油仅分布于南缘中部;古近系原油仅分布于南缘西部。按照盆地构造特征及不同时代烃源灶与油气关系,将准噶尔盆地划分为西部、中部、东部、南部及乌伦古5个油气系统及15个子油气系统。     

机动期间的GEO卫星钟差确定方法

分析了多种精密卫星钟差的插值方法,构建了GEO卫星机动模型,并结合插值方法,确定机动期间的GEO卫星钟差,并将结果与i GMAS最终产品进行了比较和分析。结果表明,三次样条插值是用于确定机动期间的GEO卫星钟差的最优方法,其结果精度可达0.01~0.38 ns。     

融合机载雷达和航空正射影像的道路提取

针对单一遥感数据源提取道路信息中存在的问题,该文提出一种融合多源数据的方法:采用面向对象思想,融合机载激光雷达和航空正射影像,运用对象平均强度指数进行道路精确提取。首先利用点云强度信息进行道路粗提取,再结合影像光谱信息对粗提取点云进行优化,得到"一次点云";然后通过分形网络演化算法对影像进行多尺度分割形成对象,将"一次点云"导入分割对象,利用对象平均强度辅之以对象面积完成道路精确提取。实验结果表明,该方法提取流程简单快速、无须精确配准、道路提取精度较高。