基于MODIS数据的青藏高原冰川反照率时空分布及变化研究

冰川反照率对冰川融化具有重要影响,以2000-2013年MODIS的MOD10A1逐日积雪反照率数据资料为基础,分析了青藏高原冰川反照率的时空分布及变化。结果表明：冰川年平均反照率变化范围是0.42（枪勇冰川）~0.75（PT5冰川）,其中夏季平均反照率变化范围是0.45（来古冰川）~0.69（东绒布冰川和古里雅冰川）。冰川反照率空间分布并没有明显的规律性,而冰川反照率的变化速率空间分布规律明显——南部较大往北减小,北部反照率出现增大现象。研究区内大部分冰川反照率呈波动降低的趋势,年平均反照率和夏季平均反照率变化速率最大值都出现在枪勇冰川,分别是-0.015 a^-1和-0.019 a^-1。木吉和木孜塔格冰川年平均和夏季平均冰川反照率都增大,木吉冰川是由于2012年的高反照率引起的,而木孜塔格冰川主要与该地区气温降低、降水增多有关。     

江西兴国县溶解性总固体分布规律初探

本文聚焦于反映地下水宏量离子组分总量的溶解性总固体,应用统计描述、相关分析法、离子比例法分析了其在兴国县全境的分布演化规律。结果表明,兴国县89.8%采样点的溶解性总固体含量都处于200 mg/L以内,但存在空间分布差异显著,在松散岩类孔隙水、碎屑岩类孔隙裂隙水、变质岩类裂隙水和花岗岩类裂隙水中溶解性总固体的变异系数分别为0.37、0.77、0.56和0.59。对1977—2018年两期地下水水质数据分析,兴国县地下水中溶解性总固体不论是单点极值还是均值,均呈现大幅增加的趋势,其含量增幅在24.23%~458.13%之间。在空间分布上,溶解性总固体分布与高程具有较好的相关性,高溶解性总固体的地下水普遍分布在400 m高程以下。兴国县对地下水开发的增加,改变了地下水的补径排条件,加速了地下水与围岩和岩石矿物风化组分间的溶滤和离子交换,使Na+浓度减少,Ca~(2+)和Mg~(2+)含量增加。     

微山湖流域高氟地下水的成因分析

依据2006—2016年间采集的区内475件地下水无机分析数据以及钻探岩心易溶盐测试数据,详细研究了微山湖流域高氟地下水的分布特征和富集机制。结果表明:微山湖流域高氟地下水的分布有明显的东西分区特征,湖西冲积、湖积平原区有大范围的高氟地下水,在深度0—40 m的浅层孔隙地下水中,氟含量以1~2 mg/L为主,仅现代黄河影响带地下水氟含量小于1 mg/L,金乡、单县、嘉祥局部超过3 mg/L,最大值9.5 mg/L;在深度150—400 m的深层孔隙地下水中,氟含量以1~1.5 mg/L为主,菏泽—单县条带氟含量超过2 mg/L,最大值3.5 mg/L。微山湖东冲积、洪积平原浅层孔隙地下水、深层岩溶地下水氟含量均小于1 mg/L。湖西冲积、湖积平原沉积物中可溶性氟含量随深度增加而降低。微山湖流域湖西高氟地下水形成受物质来源、淋滤和蒸发浓缩等三方面因素共同控制,CaF_2的溶解平衡是控制地下水F–含量的重要因素。     

开敞式潮滩-潮沟系统发育演变动力机制——Ⅲ.海平面上升影响

为研究海平面上升对潮滩-潮沟系统的影响,以江苏中部粉砂淤泥质海岸为原型,建立变态物理模型,模拟研究在不同海平面潮汐过程作用下的潮沟发育和演变过程,分析了潮滩淹没历时、排水密度、潮沟断面形态等特征参数变化规律。研究表明:潮沟在发育初期伸长速率高于拓宽速率,最终趋于动态平衡;海平面上升后,潮滩淹没历时增加,露滩时间缩短,归槽水对潮沟底床的塑造作用减弱;平均归槽水流长度和Horton排水长度均随海平面上升呈现出减小趋势,潮沟的排水能力增强;潮沟断面宽深比服从对数正态分布,随着海平面上升,潮沟断面面积和宽深比均呈现出增大趋势,宽深比分布范围变广。     

准噶尔盆地吉木萨尔凹陷梧桐沟组层序地层划分

准噶尔盆地吉木萨尔凹陷二叠系梧桐沟组作为一套重要的储集岩,具有良好的油气成藏前景,但对其层序划分及地层沉积样式的认识一直存在争议。在构造背景分析的基础上,结合岩芯、测井及地震资料,对研究区梧桐沟组层序地层划分及地层沉积样式研究表明,梧桐沟组沉积时期构造强度较弱,地形较为平缓,地层在全区稳定分布;中晚二叠世盆地发生造山运动,吉木萨尔凹陷东南边缘区域经过构造抬升,上部地层遭受不同程度的剥蚀,形成了现今"底平顶削"的地层样式。以凹陷中部少数地层保存较全的井的地层叠加样式分析为基础,通过井-震结合识别不同类型界面,特别是最大湖泛面,建立了区域层序地层格架,即梧桐沟组为一个完整的长期基准面旋回(三级层序),并在其内部识别出5个中期旋回。梧桐沟组地层在不同的层序发育时期表现出不同的旋回叠加样式:下段沉积时期,即最大湖泛面以下,随着可容纳空间的增大,地层表现为明显的退积叠加样式;上段沉积时期,即最大湖泛面以上,随着可容纳空间的减小,地层表现为明显的进积叠加样式,符合沉积物体积分配原理。     

Spatio-temporal Distribution of Three Kinds of Flash Droughts over Agricultural Land in China from 1983 to 2015

At present, flash drought occurs globally and regionally and causes a lot of socio-economic loss in a very short time. Therefore, flash drought has been regarded as one of the hottest issues in drought research. However, flash drought monitoring, prediction and decision-making have encountered a lot of challenges due to its multiple driven factors and complex spatio-temporal process. Aiming at this problem, this paper focused on the agricultural land in China, and analyzed the spatio-temporal distribution of three kinds of flash droughts (i.e., precipitation-deficit, high-temperature, and composite flash droughts) from 1983 to 2015. We studied the occurrences, duration, spatial distribution, temporal distribution, and trend of all three kinds of flash droughts. Our results demonstrated that, the occurrences of flash drought agricultural land in China increased year by year, among which high-temperature flash drought increased dramatically; duration of flash droughts had different trends, but the variations were relatively smooth; Northeast China was identified as a vulnerable area of flash drought, indicating more flash drought events and longer duration; flash droughts in China were found to concentrate in spring (high-temperature drought) and summer seasons (precipitation-deficit drought). This study is helpful for building new flash drought monitoring method and system, and it is also valuable for flash drought preparedness on regional scale.     

Verification and Assessment of Real-time Forecasts of Two Extreme Heavy Rain Events in Zhengzhou by Operational NWP Models

In the present study, the performances of the NWP models on two heavy rainfalls on 20 July and 22 August 2021 over Henan Province were investigated. The impacts of the water vapor transport to the extreme rainfall were further discussed. The results showed that the regional model system in the Guangzhou Meteorological Service generally showed high scores on the extreme rainfall over Henan. The maximum 24h accumulative rainfall by the 24h forecasts by the CMA-GD reached 556 mm over Henan Province. The 24-h and 48-h Threat Score (TS) of heavy rainfall reached 0.56 and 0.64. The comparisons of the Fraction Skill Score (FSS) verifications of the heavy rainfall by CMA-GD and CMA-TRAMS at the radium of 40km reached 0.96 and 0.87. The water vapor transport to the extreme rainfall showed that the vertically integrated water vapor transport (IVT) of the whole layer before the occurrence of the heavy rainfall exhibited a double-eyes distribution in case 7 · 20. The north eye over Henan reached the same magnitude of IVT as the typhoon eye (Cempaka) over south China. The IVT over the lower troposphere (<500 hPa) showed an overwhelming magnitude than the upper level, especially in the planetary boundary layer (<700 hPa). More practical technical needs to be developed to improve its performances on the forecasting of extreme rainfall, as well as more experiments need to be conducted to examine the effects of the specific terrain and physical schemes on the extreme rainfall.     

Detection and mapping of bracken fern weeds using multispectral remotely sensed data: a review of progress and challenges

Bracken fern is one of the major invasive plants distributed all over the world currently threatening socio-economic and ecological systems due to its ability to swiftly colonize landscapes. The study aimed at reviewing the progress and challenges in detecting and mapping of bracken fern weeds using different remote sensing techniques. Evidence from literature have revealed that traditional methods such as field surveys and modelling have been insufficient in detecting and mapping the spatial distribution of bracken fern at a regional scale. The applications of medium spatial resolution sensors have been constrained by their limited spatial, spectral and radiometric capabilities in detecting and mapping bracken fern. On the other hand, the availability of most of these data-sets free of charge, large swath width and their high temporal resolution have significantly improved remote sensing of bracken fern. The use of commercial satellite data with high resolution have also proven useful in providing fine spectral and spatial resolution capabilities that are primarily essential to offer precise and reliable data on the spatial distribution of invasive species. However, the application of these data-sets is largely restricted to smaller areas, due to high costs and huge data volumes. Studies on bracken fern classification have extensively adopted traditional classification methods such as supervised maximum likelihood classifier. In studies where traditional methods performed poorly, the combination of soft classifiers such as super resolution analysis and traditional methods of classification have shown an improvement in bracken fern classification. Finally, since high spatial resolution sensors are expensive to acquire and have small swath width, the current study recommends that future research can also consider investigating the utility of the freely available recently launched sensors with a global footprint that has the potential to provide invaluable information for repeated measurement of invasive species over time and space.     

南部非洲花岗岩型与伟晶岩型钽矿床地质特征

钽作为一种重要的稀有金属矿产,广泛应用于各种工业领域。世界上的钽矿床成因主要为内生成矿,尤以花岗岩型和伟晶型最为重要,碰撞造山过程导致的多期次岩浆活动是有利的钽矿成矿环境。南部非洲钽矿资源丰富且品位高,主要为花岗岩型和伟晶岩型钽矿床,空间上主要分布在卡普瓦尔克拉通、刚果克拉通、津巴布韦克拉通以及基巴拉、泛非、达马拉等碰撞环境下形成的同造山—后造山构造带内,时间上主要集中在太古宙(2.85~2.58 Ga)、古元古代(2.48~2.0 Ga)、晚中元古代—早新元古代(1026~880 Ma)以及泛非活动期(500~440 Ma),且不同钽矿带内含钽矿物稀有及稀土元素分布特征差异较大。南部非洲发育大量与钽矿形成密切相关的花岗岩及伟晶岩岩体,资源潜力巨大,未来有望成为世界上主要的钽资源接续基地。