闽三角海域赤潮发生的时空特征     

邹晓梅  林广发  陈志彪 《海洋科学》2018,42(11):110-117

赤潮是海洋生态系统异常的重要指标。本文收集1986～2017年闽三角海域的赤潮事件,基于GIS技术分析赤潮的时空分布特征。结果表明:32年来,闽三角海域赤潮发生98次,赤潮高发区在厦门西海域、同安湾和泉州湄洲湾海域;闽三角海域赤潮年际发生次数呈波动变化,一年中赤潮高发期集中在5～8月;中肋骨条藻、角毛藻及旋链角毛藻是闽三角海域的赤潮优势种,具有一定的区域分布特征;有毒赤潮事件发生频率有增加趋势。本文系统性地总结了闽三角海域赤潮时空特征,为该区域的赤潮风险分析和预防提供依据。  相似文献   

鲁西大汶口地区全新世临沂组沉积物粒度分布特征及地质意义          下载免费PDF全文

高明波 《山东国土资源》2018,34(7)

出露于大汶口盆地的临沂组为一套第四系松散堆积物,上部以土黄色、灰黄色含砂质粉砂、粉砂质粘土为主,下部为砂砾石层,是大汶口盆地内河流演化过程中的沉积响应和物质记录。通过对临沂组进行研究,可以反演大汶口盆地第四纪以来的沉积区水动力环境、物质运移方式和沉积环境。该文在区域地质调查工作的基础上,结合粒度分析频率曲线、概率累积曲线、粒度参数和沉积物宏观特征,对临沂组的沉积相、沉积环境和沉积韵律进行了研究。研究表明,大汶口地区临沂组下部为河床亚相边滩沉积微相,上部为河漫亚相河漫滩沉积微相,经历了由简单高能→复杂中能-中低能→简单中低能→复杂中低能的水动力沉积环境变化。另外依据岩石组合特征,将其划分为4个明显的沉积韵律和1个不明显的沉积韵律组。  相似文献   

Galileo广播星历评估及其对定位精度的影响     

韩德强  党亚民  庞辉  薛树强  杨强  张龙平 《大地测量与地球动力学》2018,38(11):1165-1169

分析现阶段伽利略空间信号的精度，并评估伽利略广播星历及其对单点定位的影响。统计30 d健康卫星广播星历，结果表明，FOC和IOV两种类型的广播星历卫星轨道误差优于0.8 m，并且径向误差最小，法向误差次之，切向误差最大；伽利略卫星的钟差误差精度达到1.0 ns；从空间信号测距误差对伽利略卫星进行整体分析，广播星历精度优于1.0 m，FOC与IOV卫星精度相当；用广播星历进行事后单点定位的精度可以达到dm级。  相似文献   

Mesozooplankton spatial distribution and community structure in the South Adriatic Sea during two winters (2015, 2016)          下载免费PDF全文

Marijana Hure  Hrvoje Mihanović  Davor Lučić  Zrinka Ljubešić  Petar Kružić 《Marine Ecology》2018,39(1)

Whereas the data on mesozooplankton in the epipelagic offshore Mediterranean Sea are extensive, less information is available about plankton in the deeper layers. The present study aims to describe the vertical and horizontal structure and distribution of mesozooplankton species and their associations down to 1,200 m in the water of the Southern Adriatic Sea. Zooplankton were sampled using a Nansen net of 200‐μm mesh size during two cruises in the winters of 2015 and 2016, extending from the coast to the open sea. In total, 203 zooplankton taxa were identified. The community was dominated by copepods, representing between 67% and 91% of the total abundance. The highest total densities were recorded in the upper layers where a high proportion (up to 36%) of appendicularians was also observed in the first sampled year. Five groups of samples were determined based on their community structure. In 2015 communities were distinct between the 0 and 50 m layer and the underlying one (50–100 m), whereas in 2016 epipelagic waters were inhabited by a more uniform mesozooplankton community. The mesopelagic and deep‐water fauna, especially copepods, showed a relatively stable composition in both sampling years Overall, our study confirms the oligotrophic character of the Southern Adriatic, with occasional density outbreaks of appendicularians under favourable conditions.  相似文献   

A new standardized Palmer drought index for hydro‐meteorological use          下载免费PDF全文

Mingwei Ma  Liliang Ren  Fei Yuan  Shanhu Jiang  Yi Liu  Hao Kong  Luyan Gong 《水文研究》2014,28(23):5645-5661

Accepting the concept of standardization introduced by the standardized precipitation index, similar methodologies have been developed to construct some other standardized drought indices such as the standardized precipitation evapotranspiration index (SPEI). In this study, the authors provided deep insight into the SPEI and recognized potential deficiencies/limitations in relating to the climatic water balance it used. By coupling another well‐known Palmer drought severity index (PDSI), we proposed a new standardized Palmer drought index (SPDI) through a moisture departure probabilistic approach, which allows multi‐scalar calculation for accurate temporal and spatial comparison of the hydro‐meteorological conditions of different locations. Using datasets of monthly precipitation, temperature and soil available water capacity, the moisture deficit/surplus was calculated at multiple temporal scales, and a couple of techniques were adopted to adjust corresponding time series to a generalized extreme value distribution out of several candidates. Results of the historical records (1900–2012) for diverse climates by multiple indices showed that the SPDI was highly consistent and correlated with the SPEI and self‐calibrated PDSI at most analysed time scales. Furthermore, a simple experiment of hypothetical temperature and/or precipitation change scenarios also verified the effectiveness of this newly derived SPDI in response to climate change impacts. Being more robust and preferable in spatial consistency and comparability as well as combining the simplicity of calculation with sufficient accounting of the physical nature of water supply and demand relating to droughts, the SPDI is promising to serve as a competent reference and an alternative for drought assessment and monitoring. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

Comment on Garg et al., . ‘Up‐scaling potential impacts on water flows from agricultural water interventions: opportunities and trade‐offs in the Osman Sagar catchment,Musi sub‐basin,India’. Hydrological Processes 27: 3905–3921          下载免费PDF全文

Jetske A. Bouma  Trent W. Biggs  Laurens M. Bouwer 《水文研究》2014,28(8):3350-3351

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A nonstationary extreme value distribution for analysing the cessation of karst spring discharge          下载免费PDF全文

Yan Liu  Yonghong Hao  Yonghui Fan  Tongke Wang  Xueli Huo  Youcun Liu  Tian‐Chyi J. Yeh 《水文研究》2014,28(20):5251-5258

The effects of climate change and population growth in recent decades are leading us to consider their combined and potentially extreme consequences, particularly regarding hydrological processes, which can be modeled using a generalized extreme value (GEV) distribution. Most of the GEV models were based on a stationary assumption for hydrological processes, in contrast to the nonstationary reality due to climate change and human activities. In this paper, we present the nonstationary generalized extreme value (NSGEV) distribution and use it to investigate the risk of Niangziguan Springs discharge decreasing to zero. Rather than assuming the location, scale, and shape parameters to be constant as one might do for a stationary GEV distribution analysis, the NSGEV approach can reflect the dynamic processes by defining the GEV parameters as functions of time. Because most of the GEV model is designed to evaluate maxima (e.g. flooding, represented by positive numbers), and spring discharge cessation is a ?minima’, we deduced an NSGEV model for minima by applying opposite numbers, i.e. negative instead of positive numbers. The results of the model application to Niangziguan Springs showed that the probability of zero discharge at Niangziguan Springs will be 1/80 in 2025, and 1/10 in 2030. After 2025, the rate of decrease in spring discharge will accelerate, and the probability that Niangziguan Springs will cease flowing will dramatically increase. The NSGEV model is a robust method for analysing karst spring discharge. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

Inference and uncertainty of snow depth spatial distribution at the kilometre scale in the Colorado Rocky Mountains: the effects of sample size,random sampling,predictor quality,and validation procedures          下载免费PDF全文

J. L. McCreight  A. G. Slater  H. P. Marshall  B. Rajagopalan 《水文研究》2014,28(3):933-957

Historically, observing snow depth over large areas has been difficult. When snow depth observations are sparse, regression models can be used to infer the snow depth over a given area. Data sparsity has also left many important questions about such inference unexamined. Improved inference, or estimation, of snow depth and its spatial distribution from a given set of observations can benefit a wide range of applications from water resource management, to ecological studies, to validation of satellite estimates of snow pack. The development of Light Detection and Ranging (LiDAR) technology has provided non‐sparse snow depth measurements, which we use in this study, to address fundamental questions about snow depth inference using both sparse and non‐sparse observations. For example, when are more data needed and when are data redundant? Results apply to both traditional and manual snow depth measurements and to LiDAR observations. Through sampling experiments on high‐resolution LiDAR snow depth observations at six separate 1.17‐km² sites in the Colorado Rocky Mountains, we provide novel perspectives on a variety of issues affecting the regression estimation of snow depth from sparse observations. We measure the effects of observation count, random selection of observations, quality of predictor variables, and cross‐validation procedures using three skill metrics: percent error in total snow volume, root mean squared error (RMSE), and R². Extremes of predictor quality are used to understand the range of its effect; how do predictors downloaded from internet perform against more accurate predictors measured by LiDAR? Whereas cross validation remains the only option for validating inference from sparse observations, in our experiments, the full set of LiDAR‐measured snow depths can be considered the ‘true’ spatial distribution and used to understand cross‐validation bias at the spatial scale of inference. We model at the 30‐m resolution of readily available predictors, which is a popular spatial resolution in the literature. Three regression models are also compared, and we briefly examine how sampling design affects model skill. Results quantify the primary dependence of each skill metric on observation count that ranges over three orders of magnitude, doubling at each step from 25 up to 3200. Whereas uncertainty (resulting from random selection of observations) in percent error of true total snow volume is typically well constrained by 100–200 observations, there is considerable uncertainty in the inferred spatial distribution (R²) even at medium observation counts (200–800). We show that percent error in total snow volume is not sensitive to predictor quality, although RMSE and R² (measures of spatial distribution) often depend critically on it. Inaccuracies of downloaded predictors (most often the vegetation predictors) can easily require a quadrupling of observation count to match RMSE and R² scores obtained by LiDAR‐measured predictors. Under cross validation, the RMSE and R² skill measures are consistently biased towards poorer results than their true validations. This is primarily a result of greater variance at the spatial scales of point observations used for cross validation than at the 30‐m resolution of the model. The magnitude of this bias depends on individual site characteristics, observation count (for our experimental design), and sampling design. Sampling designs that maximize independent information maximize cross‐validation bias but also maximize true R². The bagging tree model is found to generally outperform the other regression models in the study on several criteria. Finally, we discuss and recommend use of LiDAR in conjunction with regression modelling to advance understanding of snow depth spatial distribution at spatial scales of thousands of square kilometres. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

临沂市地质灾害现状及易发程度分区评价          下载免费PDF全文

祝丽媛  窦连波  李莺宇  陈秀娟  王伟德 《山东国土资源》2019,35(11)

2016年,临沂市地质灾害排查共查明了391处地质灾害隐患点,主要类型为崩塌、滑坡、泥石流、采空塌陷和岩溶塌陷,崩塌数量最多,其次为采空塌陷和岩溶塌陷。地质灾害规模以小型为主。该文详细介绍了临沂市地质环境背景条件,各类地质灾害发育现状及分布特征。在此基础上,采用"地质灾害综合危险性指数法"进行地质灾害易发性评价,运用栅格数据处理方法将临沂市划分成1350个面积相等的单元,对影响地质灾害发育的地质条件、地形地貌条件、气候植被条件、地质灾害隐患点、地质灾害规模、分布密度、活动频次和险情等要素进行量化,根据实际情况对地质灾害易发程度分级进行定性修正,将临沂市地质灾害易发程度划分为高易发区、中易发区、低易发区及不易发区4个区。预测了地质灾害发展趋势,划分了地质灾害防治分区,建议完善地质灾害预警预报系统,为临沂市应急管理局的地质灾害应急救援提供地质灾害基础背景资料。  相似文献   

气举反循环钻进井壁稳定及适用性探讨          下载免费PDF全文

郑伯乐  郑秀华  段晨阳  叶宏宇 《探矿工程》2020,47(6):13-18

气举反循环工艺具有钻进效率高、携带岩屑能力强、防漏效果好以及钻头寿命长等优点，同时还可以提高流体矿产的产能。但是一般认为气举反循环钻进抽吸作用会产生负压，不利于井壁稳定，不宜在松散地层应用。本文通过计算气举反循环钻进环空水力参数，并从环空压力以及冲洗液流态、流速等方面探讨研究气举反循环钻进中井壁稳定及其适用性，指出通过选取合适的钻具组合以及调节冲洗液性能，可使气举反循环工艺对不同地层的适应性更广。  相似文献