基于BP神经网络的地质灾害细网格预报模型

地质灾害成因复杂,其中以气象因素、地质地貌因素引发的地质灾害最为常见.以金华地区为例,通过对金华市地质地貌条件及其对地质灾害点的调查,将全区划分为4个地质灾害隐患风险等级的网格区域.在此基础上利用金华中尺度气象资料,采用BP神经网络模型,建立地质灾害细网格预报模型,对该模型进行模拟和预报试验.结果表明,合理的隐患风险等级分区能使预报模型更符合科学规律,而采用分布较细的中尺度资料作为预报因子能进一步提高预报精度.模型的预报结果达到一定的可信度,为防灾减灾工作提供了科学依据.     

Solar Wind Effects Associated with a Recurrent,High-Latitude Coronal Brightness Enhancement

During the descent of Ulysses following the 2001 solar north pole passage, the SOHO LASCO C2 telescope recorded a particularly strong sequence of recurrent polarization brightness (pB) features at latitudes of around 55°. As Ulysses passed overhead, solar rotation swept the interplanetary extensions of these persistent coronal structures over the spacecraft. Comparison of solar remote sensing and Ulysses in situ observations through 2002 reveals the solar wind effects of very bright and recurrent K-coronal structures at high solar latitudes and of a steeply inclined heliospheric neutral sheet (HNS). Despite the high level of solar activity, the HNS at high latitude still organizes solar wind stream structure much as it did near the previous solar minimum. The recurrent coronal streamers originate slow solar wind and mark the northern extremity of a very tilted HNS whose passage at Ulysses is accompanied by slow, dense solar wind, enhanced temperature, depressed α abundance, enhanced magnetic fields, and magnetic field directional changes that evolve with spacecraft latitude.     

大气中性点区域偏振效应的地—气参量研究

随着中国多颗偏振遥感器搭载发射,偏振遥感成为对地观测领域一个新的增长点以及研究热点。由于大气散射具有较强的偏振效应,大气与地表偏振信号的分离是偏振对地进行有效观测和应用的一个现实问题与难点问题。本文利用晴空中有规律的偏振分布以及大气偏振中性点的性质,对利用大气中性点的偏振效应进行地表—大气偏振信息分离的可行性进行了论证。通过对大气中性点在辐射传输过程性质的计算,得出Babinet大气中性点区域的偏振效应以及基于Babinet中性点区域进行偏振对地观测的基本方法,研究重点阐述了从航空遥感和航天遥感两个层面对如何将大气中性点应用于遥感观测进行了讨论。结果表明:(1)Babinet中性点相比于其他两个中性点,更适合于偏振遥感对地观测中地—气偏振参量分离;(2)航空遥感搭载偏振传感器在Babinet中性点区域进行地表探测可以消除大气偏振,突出地物偏振信息,有效进行地—气偏振参量分离;(3)在太阳同步轨道的卫星遥感影像上能够有效识别偏振中性点区域;研究成果有效分离高分辨率偏振遥感地物反演中的大气偏振耦合效应,实现地表偏振反射信息最大化,对于偏振遥感的大气校正以及定量化水平的提升具有实践意义。     

南海北部油气缓释环境沉积物脂类化合物组成特征

认识沉积环境有机碳留存状况是阐述油气形成过程中有机碳早期成岩的关键内容。以南海珠江口盆地及其邻近海域为背景,通过研究表层沉积物中脂类化合物的形态组成,认识脂类有机碳的来源和留存状态,阐述特征脂类分子的早期成岩特征。结果表明,研究区域表层沉积物有机碳含量为0.22%～0.66%,有机碳稳定同位素分布在-20.88‰～-22.93‰之间,表现为显著的海源特征。沉积物中共检测出21种脂肪酸、6种脂肪醇、8种甾醇和植醇;总脂肪酸、脂肪醇、甾醇和植醇含量分别为12.57～40.27μg/g、5.35～8.98μg/g、0.15～3.75μg/g和0.01～3.99μg/g干重,总体表现为靠近珠江口和台湾海峡略高。脂类化合物的存在形态以游离态(FR)和碱性水解态(BH)为主,酸性水解态(AH)贡献较低;其中植醇和甾醇呈现显著的BH优势,植醇中未检出AH组分的贡献。脂类化合物主要来自于海洋现场生产,海洋微藻和细菌的相对贡献率分别为21.18%～33.78%和11.02%～15.64%,陆源高等植物贡献低于5%。来源于硫酸盐还原菌的支链脂肪酸在靠近珠江口海域高达1.79～2.62μg/g,占总脂肪酸的5.14%～6.50%,并与硫酸盐还原过程相关的古菌分布相一致。     

Height prediction of water flowing fractured zones based on BP artificial neural network

Factures caused by deformation and destruction of bedrocks over coal seams can easily lead to water flooding(inrush)in mines,a threat to safety production.Fractures with high hydraulic conductivity are good watercourses as well as passages for inrush in mines and tunnels.An accurate height prediction of water flowing fractured zones is a key issue in today's mine water prevention and control.The theory of leveraging BP artificial neural network in height prediction of water flowing fractured zones is analysed and applied in Qianjiaying Mine as an example in this paper.Per the comparison with traditional calculation results,the BP artificial neural network better reflects the geological conditions of the research mine areas and produces more objective,accurate and reasonable results,which can be applied to predict the height of water flowing fractured zones.     

SESTET: A spatially explicit stream temperature model based on equilibrium temperature

Stream-water temperature is a key variable controlling chemical, biological, and ecological processes in freshwater environments. Most models focus on a single river cross-section; however, temperature gradients along stretches and tributaries of a river network are crucial to assess ecohydrological features such as aquatic species suitability, growth and feeding rates, or disease transmission. We propose SESTET, a deterministic, spatially explicit stream temperature model for a whole river network, based on water and energy budgets at a reach scale and requiring only commonly available spatially distributed datasets, such as morphology and air temperature, as input. Heat exchange processes at the air–water interface are modelled via the widely used equilibrium temperature concept, whereas the effects of network structure are accounted for through advective heat fluxes. A case study was conducted on the prealpine Wigger river (Switzerland), where water temperatures have been measured in the period 2014–2018 at 11 spatially distributed locations. The results show the advantages of accounting for water and energy budgets at the reach scale for the entire river network, compared with simpler, lumped formulations. Because our approach fundamentally relies on spatially distributed air temperature fields, adequate spatial interpolation techniques that account for the effects of both elevation and thermal inversion in air temperature are key to a successful application of the model. SESTET allows the assessment of the magnitude of the various components of the heat budget at the reach scale and the derivation of reliable estimates of spatial gradients of mean daily stream temperatures for the whole catchment based on a limited number of conveniently located (viz., spanning the largest possible elevation range) measuring stations. Moreover, accounting for mixing processes and advective fluxes through the river network allows one to trust regionalized values of the parameters controlling the relationship between equilibrium and air temperature, a key feature to generalize the model to data-scarce catchments.     

中点位移中性景观模型对不同主题景观的模拟分析

在景观图幅大小、景观类型数和景观各类型所占比例等与4类真实景观相同的基础上,采用中点位移(mid-point displacement,MPD)中性景观模型,通过设置等间隔变化的空间自相关参数生成10个梯度的中性模拟景观,应用景观指数分析了模拟景观对不同主题真实景观的模拟情况。结果表明,MPD中性景观模型在斑块数、分维数、聚集度等指数方面能够很好地模拟4个主题的真实景观;而在边界密度、散布与并列等指数方面,对4个主题景观的模拟效果不佳。MPD中性景观模型只能在某些方面较好地模拟真实景观,并不能对真实景观进行全面模拟。虽然主题不同,但MPD中性景观模型并未有效区分模拟效果好坏,只是指数重合参数范围不同。在指数表现方面,本研究中某些结果与前人研究结果有偏差,说明不同中性景观在景观格局不同方面的表现存在差异,在模型选取时需慎重。     

Seasonal Changes in the Biochemical Composition of the Edible Sea Urchin Paracentrotus lividus Echinodermata: Echinoidea in a Lagoonal Environment

Abstract. Monthly soluble and insoluble protein, carbohydrate, lipid and ash levels and energetic content were measured in tissues of Paracentrotus lividus adults living in a lagoonal environment over a 1-year period to increase our understanding of resource allocation to the different tissues. The biochemical composition of P. lividus individuals in this environment is similar to that observed in other environments. The gonad and gut contained a high level of proteins soluble or insoluble, a lesser amount of lipids and, finally, a low level of carbohydrates. The main component of the test was ash, followed by protein levels. The lipid and carbohydrate levels in the test were very low. Seasonal variability in the biochemical composition of the different body parts was observed. In the gonad, an increase in the level of lipids was recorded concomitant to an increase in gonad weight. The lipids and carbohydrates, after an initial increase, decreased with the maturation of the gonad. The biochemical variations observed in the gut seem to be linked to both the reproductive cycle and the sea urchin's trophic activity. Variability in the test was low and irregular for all of the observed biochemical components. As P. lividus is an important member of the benthic community in the Urbinu lagoon, this echinoid represents an important store of materials and energy within this lagoonal environment.     

对硫磷对扁藻和杜氏藻膜脂的过氧化与脱酯化伤害

于１９９４－１９９５年,运用急性急性实验及生化方法对扁藻和杜氏藻的对硫磷毒性效应进行研究。结果表明,对硫磷对扁藻生长的抑制作用明显强于杜氏藻,在对硫磷的胁迫下,两种微藻细胞的超氧阴离子自由基相对含量上升,膜透性增大,微粒体膜脂过氧化水平提高。同时,扁藻微粒体膜的磷脂减少,游离脂肪酸含量增加。