紫色土水分特征曲线室内测定方法的对比   总被引：1，自引：0，他引：1       下载免费PDF全文

王红兰  唐翔宇  鲜青松  刘琛  关卓 《水科学进展》2016,27(2):240-248

为探寻全吸力范围内土壤水分特征曲线的可靠测定方法,采用沙箱排水法、Hyprop仪蒸发法、压力膜仪排水法和露点水势仪蒸发法分吸力段测定盐亭紫色土耕地表层2~7 cm和亚表层7~12 cm土壤的水分特征曲线,对比测定结果的方法间差异,并分析其原因。结果表明:对于表层和亚表层土壤,低吸力段(h >-100 cm)水分特征曲线的沙箱法和Hyprop仪法的均方根误差E_RMS (θ)均较小,在0.026~0.082 cm3/cm3范围内,确定系数R2均大于0.962,说明这两种方法测定结果之间差异不大。高吸力段(h <-330 cm)的压力膜仪法与露点仪法测定结果之间的差异较大,E_RMS (θ)为0.062~0.097 cm3/cm3,R2较低,为0.775~0.952。因此,全吸力范围内水分特征曲线测定方法的选择与组合应考虑土壤孔径分布特征和研究目的。  相似文献   

Enhalus acoroides responses to experimental shoot density reductions in Haad Chao Mai National Park,Trang Province,Thailand          下载免费PDF全文

Ekkalak Rattanachot  Frederick T. Short  Anchana Prathep 《Marine Ecology》2016,37(2):411-418

The effect of self‐shading and competition for light in the seagrass Enhalus acoroides were investigated with a density reduction experiment in Haad Chao Mai National Park, Trang Province, Thailand. The study was carried out in a monospecific meadow with a natural density of 141.0 ± 8.7 shoots·m^?2. The intent was to determine the response of E. acoroides beds to loss of shoots and thinning, which often occur during typhoons and severe storm activity. Permanent quadrats were manipulated by clipping the seagrass shoots to 140, 72, 36 and 16 shoots·m^?2, to yield natural, 50%, 25% and 10% densities, respectively. Reducing shoot density in E. acoroides increased underwater light intensity below the canopy, generating increased leaf surface area and shoot weight. Seagrass leaf width, growth rate, and number of leaves per shoot also increased with greater light. The extent of flowering varied among treatments with no consistent trend. Our results demonstrate that increasing the available light to E. acoroides produces an increasing leaf size response as self‐shading in the bed is reduced.  相似文献   

A synthetic aperture radar sea surface distribution estimation by n-order Bézier curve and its application in ship detection   总被引：1，自引：0，他引：1  

郎海涛  张杰  王一多  张晰  孟俊敏 《海洋学报(英文版)》2016,35(9):117-125

To dates,most ship detection approaches for single-pol synthetic aperture radar(SAR) imagery try to ensure a constant false-alarm rate(CFAR).A high performance ship detector relies on two key components:an accurate estimation to a sea surface distribution and a fine designed CFAR algorithm.First,a novel nonparametric sea surface distribution estimation method is developed based on n-order Bézier curve.To estimate the sea surface distribution using n-order Bézier curve,an explicit analytical solution is derived based on a least square optimization,and the optimal selection also is presented to two essential parameters,the order n of Bézier curve and the number m of sample points.Next,to validate the ship detection performance of the estimated sea surface distribution,the estimated sea surface distribution by n-order Bézier curve is combined with a cell averaging CFAR(CA-CFAR).To eliminate the possible interfering ship targets in background window,an improved automatic censoring method is applied.Comprehensive experiments prove that in terms of sea surface estimation performance,the proposed method is as good as a traditional nonparametric Parzen window kernel method,and in most cases,outperforms two widely used parametric methods,K and G0 models.In terms of computation speed,a major advantage of the proposed estimation method is the time consuming only depended on the number m of sample points while independent of imagery size,which makes it can achieve a significant speed improvement to the Parzen window kernel method,and in some cases,it is even faster than two parametric methods.In terms of ship detection performance,the experiments show that the ship detector which constructed by the proposed sea surface distribution model and the given CA-CFAR algorithm has wide adaptability to different SAR sensors,resolutions and sea surface homogeneities and obtains a leading performance on the test dataset.  相似文献   

大连蜈蚣藻孢子发育及生活史的研究     

贾潇博  姜朋  周汝金  关云  王宏伟 《海洋科学》2016,40(10):25-32

在实验室条件下,对大连蜈蚣藻(Grateloupia dalianensis H.W.Wang et D.Zhao)的孢子早期发育、盘状体的形成和直立枝生长进行了详细研究,对其生活史进行了详细观察,并进行了温度和光照强度对孢子发育影响的研究。结果表明:(1)孢子发育类型为间接盘状体型;(2)生活史由雌、雄配子体、四分孢子体和果孢子体三相世代组成,配子体与孢子体形态相同,属于同型世代交替,与属模蜈蚣藻(G.filicina)一致;(3)温度对盘状体和直立枝生长均有影响,最适温度均为16℃;(4)光照强度对盘状体和直立枝生长均有影响,最适光照强度分别为7 500 lx和10 000 lx。  相似文献   

东山乌礁湾海滩表层沉积物粒度时空变化分析     

周在明  杨燕明  陈本清 《海洋科学》2016,40(10):82-90

为了进一步了解海岛岬湾海岸表层沉积物粒度的时空分布特征和形成机制,作者以福建东山岛乌礁湾为典型研究区,通过秋、春、夏3个不同季节海滩表层沉积物的采集和点位测量,综合应用激光法和筛析法进行粒度测定。结果表明,东山乌礁湾海滩表层沉积物以0.16～0.50 mm之间的中、细砂为主,并含有少量的粗砂和细砾,这与区域砂质沉积背景有关;湾内从南到北剖面沉积物粒径由粗砂到细砂逐渐变细,主要受剖面地形、局地物源、季节性风浪作用和近岸往复水动力的影响。时间变化上,各取样站位表现出沉积物粒径粗、细不同程度的多种变化趋势,以秋季为参考,整体上表现为由南到北粒级的变小、增大和稳定,这与东北、南南西季风影响下的浪、潮作用以及沿岸流系格局变化下的水动力环境有关。  相似文献   

高温刺激导致虾夷扇贝死亡因素的探究   总被引：2，自引：0，他引：2  

刘超  吴富村  林思恒  阙华勇  张国范 《海洋科学》2016,40(11):91-98

本文探究了高温刺激导致一龄和二龄虾夷扇贝死亡的原因。在高温刺激以及恢复过程中,两种贝龄的扇贝存活率存在显著差异(P0.05),同时两者的谷丙转氨酶(glutamic-pyruvic transaminase,GPT)活性、p53蛋白含量、总抗氧化能力(total antioxidant capacity,TAOC)以及HSP70(heat shock protein 70)含量在高温刺激以及恢复过程中的变化均存在显著差异。而且这些酶的活性(TAOC活性除外)以及蛋白质含量(p53以及HSP70)均受到贝龄、处理时间以及两者综合作用的显著影响。经过Cox模型分析可知,虾夷扇贝受到高温刺激后的存活受到贝龄、GPT活性、TAOC活性、p53含量以及HSP70含量的显著影响。此外,高温刺激会影响扇贝的心跳频率以及心输出量,从而影响心脏对机体的供氧供血能力,影响扇贝对高温的适应能力。  相似文献   

基于Neuman井流理论确定玄武岩潜水含水层渗透系数的应用——以吉林靖宇煤矿为例          下载免费PDF全文

段乃金  陈刚  候海巅  徐建 《山东国土资源》2016,32(10)

全面分析研究区玄武岩潜水含水层水文地质条件的基础上,对稳定流和非稳定理论确定潜水含水层渗透系数的优缺点进行了对比,认为非稳定井流公式确定玄武岩潜水含水层渗透系数是合理的。Aquifer Test软件基于Neuman井流理论配线法求参原理,运用计算机完成了自动求参,避免了人工配线的不足。该文根据吉林靖宇煤矿研究区玄武岩潜水含水层非稳定流抽水试验,分别用Aquifer Test软件和稳定井流公式进行了求参,并对比分析得出:玄武岩含水层弹性释水作用影响时间较长,利用Neuman潜水井流公式求参可靠,且更逼近现实;用Aquifer Test软件实现了自动求参,具有操作简单规范、可比性好的优点。  相似文献   

围压和孔隙结构对不同粒级砂岩孔隙度渗透率的影响实验研究     

张丽华  潘保芝  单刚义 《地质与资源》2018,27(3):288-292

孔隙度和渗透率是储层评价的两个重要参数.岩石毛管压力曲线和核磁共振T2谱图是描述储层微观结构特征的重要参数.通过测量不同压力条件下岩心样品的孔隙度和渗透率,得到了孔隙度和渗透率随压力的变化情况.实验结果表明：孔隙度和渗透率随着压力的增加而降低,并且与压力服从对数函数变化规律.不同孔隙度渗透率区间的砂岩样品,孔隙度和渗透率随着压力变化的趋势不同.通过测量不同粒级砂岩样品的毛管压力曲线和核磁共振T2谱图,证实了孔隙结构对孔隙度和渗透率的影响,微观孔隙结构是决定渗透性好坏的关键因素.  相似文献   

Investigation of gas content of organic-rich shale:A case study from Lower Permian shale in southern North China Basin,central China     

Wei Dang  Jin-Chuan Zhang  Xuan Tang  Xiao-Liang Wei  Zhong-Ming Li  Cheng-Hu Wang  Qian Chen  Chong Liu 《地学前缘(英文版)》2018,9(2):559-575

Measuring gas content is an essential step in estimating the commerciality of gas reserves. In this study,eight shale core samples from the Mouye-1 well were measured using a homemade patented gas desorption apparatus to determine their gas contents. Due to the air contamination that is introduced into the desorption canister, a mathematical method was devised to correct the gas quantity and quality.Compared to the chemical compositions of desorbed gas, the chemical compositions of residual gas are somewhat different. In residual gas, carbon dioxide and nitrogen record a slight increase, and propane is first observed. This phenomenon may be related to the exposure time during the transportation of shale samples from the drilling site to the laboratory, as well as the differences in the mass, size and adsorptivity of different gas molecules. In addition to a series of conventional methods, including the USBM direct method and the Amoco Curve Fit(ACF) method, which were used here for lost gas content estimation, a Modified Curve Fit(MCF) method, based on the 'bidisperse' diffusion model, was established to estimate lost gas content. By fitting the ACF and MCF models to gas desorption data, we determined that the MCF method could reasonably describe the gas desorption data over the entire time period, whereas the ACF method failed. The failure of the ACF method to describe the gas desorption process may be related to its restrictive assumption of a single pore size within shale samples. In comparison to the indirect method, this study demonstrates that none of the three methods studied in this investigation(USBM, ACF and MCF) could individually estimate the lost gas contents of all shale samples and that the proportion of free gas relative to total gas has a significant effect on the estimation accuracy of the selected method. When the ratio of free gas to total gas is lower than 45%, the USBM method is the best for estimating the lost gas content, whereas when the ratio ranges from 45% to 75% or is more than 75%, the ACF and MCF methods, are the best options respectively.  相似文献   

RS & GIS-based landslide susceptibility mapping of the Balason River basin,Darjeeling Himalaya,using logistic regression (LR) model     

Subrata Mondal  Sujit Mandal 《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》2018,12(1):29-44

The present study deals with the preparation of a landslide susceptibility map of the Balason River basin, Darjeeling Himalaya, using a logistic regression model based on Geographic Information System and Remote Sensing. The landslide inventory map was prepared with a total of 295 landslide locations extracted from various satellite images and intensive field survey. Topographical maps, satellite images, geological, geomorphological, soil, rainfall and seismic data were collected, processed and constructed into a spatial database in a GIS environment. The chosen landslide-conditioning factors were altitude, slope aspect, slope angle, slope curvature, geology, geomorphology, soil, land use/land cover, normalised differential vegetation index, drainage density, lineament number density, distance from lineament, distance to drainage, stream power index, topographic wetted index, rainfall and peak ground acceleration. The produced landslide susceptibility map satisfied the decision rules and ?2 Log likelihood, Cox &; Snell R-Square and Nagelkerke R-Square values proved that all the independent variables were statistically significant. The receiver operating characteristic curve showed that the prediction accuracy of the landslide probability map was 96.10%. The proposed LR method can be used in other hazard/disaster studies and decision-making.  相似文献