垃圾填埋场动力稳定机理及稳定分析研究现状与进展

简述国内外在垃圾填埋场动力稳定机理及稳定分析方面的研究现状与最新进展,包括：1．垃圾土（MSW）与接触面的属性参数;2．垃圾土的本构模型;3．填埋场动力分析方法。     

四川稻城海子山方枝柏树轮宽度与气候因子的响应关系研究

对四川稻城县海子山高原上的方枝柏进行树芯采集,经交叉定年后建立林线上限位置的方枝柏树轮宽度年表.标准化年表与气象资料的响应分析结果揭示了该地区树木生长主要受当年生长季前期温度条件的控制.轮宽指数与前一年9月到当年2月的平均气温呈显著正相关(R=0.56,PP＜0.01).由此重建了该地区1850-2019年这170 a...     

多源遥感影像数据的融合方法探讨

在分析和总结多源遥感影像数据融合的基础上,探讨了多源遥感影像数据融合的层次、模型、结构及其特点.归纳总结了多源遥感影像数据融合方法,目的是提高多光谱影像分辨率的同时保持色调不变,从另一个角度理解为在已知低分辨率多光谱影像和高分辨率全色影像的基础上,模拟生成高分辨率多光谱影像.本文介绍了遥感影像融合技术,系统阐述了几种常见的遥感影像融合方法及其应用.     

滕州荆泉水源地水文地质条件分析及防污性能评价

荆泉水源地是滕州市城区的重要供水水源地,近年来随着国民经济的发展,水源地及其上游补给区人类活动的增多,其地下水质有逐渐变差的趋势,查明水源地水文地质条件、评价其防污性能,对开展水源地地下水环境保护、保障滕州市城区供水安全具有重要的意义。本文在充分分析水源地及其所在的水文地质单元——滕县东部丘陵谷地水文地质条件的基础上,分析了水源地水文地质条件的多年变化特征,采用COP法对荆泉水源地进行了防污性能评价并进行了防污性能分区,为水源地地下水的保护和动态监测提供依据。地下水防污性能高的区域位于水文地质单元北部岩浆岩变质岩山区,防污性能中等地区主要分布于水文地质单元的南部山区冲洪积平原,防污性能低区位于水文地质单元的东南部碳酸盐岩山区及其山麓一带。     

阿根廷滑柔鱼渔场的初步研究

根据2001年12月至2002年4月"辽渔1号"在西南大西洋(57°W—60°W,41°S—47°S)的柔鱼生产调查资料,对作业渔场的渔获量和水温垂直分布特点进行了初步分析,并运用逐步回归法探讨了周产量(t/week)与各水层温度之间的关系。结果表明:(1)周产量在70t以上的作业区域全部在60°02′W—60°40′W,44°59′S—46°04′S范围内(简称南渔场),周产量在70t以下的作业区域绝大多数集中在57°47′W—58°2′W,41°54′S—42°2′S范围内(简称北渔场);(2)南渔场渔获的表层水温在12.2℃~15.1℃,北渔场渔获的表层水温在10.0℃~12.3℃,两渔场在20~70m水体均出现了强度不等的温跃层;(3)整个作业区域,周产量与水温存在线性相关,相关系数R=0.8515,其中南渔场相关系数R=0.9985,北渔场相关系数R=0.9313。     

ECOMSED模式在杭州湾海域流场模拟中的应用

针对杭州湾独特的喇叭型强潮河口湾的特点,基于Blumberg等(1996)的ECOMSED模式,引入动边界技术,建立杭州湾三维动边界的潮流模型.模型以正交曲线坐标下三维非线性水动力方程为基本方程,应用Mellor和Yamada的2.5阶湍流闭合模型计算紊动黏滞系数,嵌入Grant和Madsen的底边界层模型考虑波浪对底部应力的作用,采用干湿网格法模拟潮流漫滩过程;综合考虑径流,风应力,密度流和M₂,S₂,K₁,O₁四个主要分潮和M₄,S₄,MS₄三个浅水分潮的作用,从而提高杭州湾潮流模拟的精度.通过验潮站调和常数和多次海流连续观测资料的验证,表明该文建立的模型可以更好的用于杭州湾流场的预报模拟.     

中国明对虾2个群体的杂交子一代早期分析

目前,对虾研究主要集中在基础遗传学和遗传改良的潜力研究等方面[1,2].不同的地理群体代表不同的遗传资源,尤其是对虾人工养殖迅速发展的情况下,对不同的群体生长发育性状特点进行评估是非常重要的.遗传改良的目标是提高对虾人工养殖群体的产量,这就需要育种计划不仅要建立在对虾自然群体相关性状差异的研究上,还需要进一步了解不同发育阶段主要经济性状的遗传特性.对虾幼体生长情况和存活率一直都是养殖者和科学工作者关注的问题.已经有研究证明美国大西洋牡蛎和港湾扇贝群体间在幼体生长发育和存活率方面存在遗传差异[3,4].杂种优势在生物界是一个普遍的现象.     

A time-dependent numerical model of the mild-slope equation

On the basis of the previous studies, the simplest hyperbolic mild-slope equation has been gained and the linear time-dependent numerical model for the water wave propagation has been established combined with different boundary conditions. Through computing the effective surface displacement and transforming into the real transient wave motion, related wave factors will be calculated. Compared with Lin’s model, analysis shows that calculation stability of the present model is enhanced efficiently, because the truncation errors of this model are only contributed by the dissipation terms, but those of Lin’s model are induced by the convection terms, dissipation terms and source terms. The tests show that the present model succeeds the merit in Lin’s model and the computational program is simpler, the computational time is shorter, and the computational stability is enhanced efficiently. The present model has the capability of simulating transient wave motion by correctly predicting at the speed of wave propagation, which is important for the real-time forecast of the arrival time of surface waves generated in the deep sea. The model is validated against analytical solution for wave diffraction and experimental data for combined wave refraction and diffraction over a submerged elliptic shoal on a slope. Good agreements are obtained. The model can be applied to the theory research an d engineering applications about the wave propagation in a biggish area.     

DIAGNOSTIC INVESTIGATION OF SIMULATION BIAS WITH THE GRAPES-MESO MODEL FOR A TORRENTIAL RAIN CASE

In this paper, the numerical simulation bias of the non-hydrostatic version GRAPES-Meso (Mesoscale of the Global and Regional Assimilation and Prediction System) at the resolution of 0.18o for a torrential rain case, which happened in May 31st to June 1st 2005 over Hunan province, are diagnosed and investigated by using the radiosondes, intensive surface observation, and the operational global analysis data, and the sensitivity experimental results as well. It is shown in the result that the GRAPES-Meso could reproduce quite well the main features of large-cale circulation and the distribution of the accumulated 24h precipitation and the key locations of the torrential rainfall are captured reasonably well by the model. However, bias exist in the simulation of the mesoscale features of the torrential rain and details of the relevant systems, for example, the simulated rainfall that is too earlier in model integration and remarkable underprediction of the peak value of rainfall rates over the heaviest rainfall region, the weakness of the upper jet simulation and the overprediction of the south-west wind in the lower troposphere etc. The investigation reveals that the sources of the simulation bias are different. The erroneous model rainfall in the earlier integration stage over the heaviest rainfall region is induced by the model initial condition bias of the wind field at about 925hPa over the torrential rainfall region, where the bias grow rapidly and spread upward to about 600hPa level within the few hours into the integration and result in abnormal convergence of the wind and moisture, and thus the unreal rainfall over that region. The large bias on the simulated rainfall intensity over the heaviest rainfall region might be imputed to the following combined factors of (1) the simulation bias on the strength and detailed structures of the upper-level jet core which bring about significant underpredictions of the dynamic conditions (including upper-level divergence and the upward motion) for heavy rainfall due to unfavorable mesoscale vertical coupling between the strong upper-level divergence and lower-level convergence; and (2) the inefficient coupling of the cumulous parameterization scheme and the explicit moisture in the integration, which causes the failure of the explicit moisture scheme in generating grid-scale rainfall in a certain extent through inadequate convective adjustment and feedback to the grid-scale. In addition, the interaction of the combined two factors could form a negative feedback to the rainfall intensity simulation, and eventually lead to the obvious underprediction of the rainfall rate.     

灰色GM(1,1)残差修正模型在滑坡预测中的对比应用

在传统GM(1,1)模型的基础上,经过不同方式的残差修正,分别建立了一阶残差修正GM(1,1)模型和二阶残差修正GM(1,1)模型。根据滑坡的监测资料,对变形曲线为光滑型滑坡(如黄龙西村滑坡、某滑坡)和阶跃型滑坡(如新滩滑坡、洒勒山新滑坡)分别建立了传统GM(1,1)模型和一阶、二阶残差修正模型,并对不同滑坡各模型的预测精度进行了分析比较。结果表明,残差修正GM(1,1)模型的预测精度明显高于传统GM(1,1)模型的预测精度。对变形曲线为光滑型的滑坡,二阶残差修正GM(1,1)模型的预测精度一般高于一阶残差修正GM(1,1)模型的预测精度;对变形曲线为阶跃型的滑坡,一阶残差修正GM(1,1)模型的预测精度高于二阶残差修正GM(1,1)模型的预测精度。