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61.
土壤热异常对地表能量平衡影响初探 总被引:3,自引:1,他引:3
将来自土壤深部的热通量引入off line的陆面过程模式 (NCAR—LSM ) ,通过长达 2a的数值试验对比分析了它对各层次土壤温度和地表能量平衡的影响。 在土壤底部引入 5W /m2 的热通量使底层土壤显著升温 ,但升温随着接近表层而迅速衰减。积分 3个月后 ,由地下进入地表的热流量增幅可达 1W/m2 以上 ,并持续增大到 5W /m2 ,地表最大升温约 0 .5K ,同时地表感热、蒸发潜热及长波辐射通量均有 1W /m2 左右的正异常 ;若将土壤热传导系数放大一个量级以加速热量交换 ,则地表升温提高到 1K以上 ,长波辐射增加 3W /m2 以上 ,超过了气溶胶全球平均的辐射效应。结果表明 :一定量值的土壤热异常对地表能量平衡和短期气候变化 (10 -1~ 10 1a)有着不可忽略的影响。同时 ,深入的资料分析、完善的陆面过程模式以及它与大气模式的耦合试验也是亟待进行的相关工作。 相似文献
62.
土壤热异常影响地表能量平衡的个例分析和数值模拟 总被引:6,自引:0,他引:6
The statistical relationship between soil thermal anomaly and short-term climate change is presented based on a typical case study. Furthermore, possible physical mechanisms behind the relationship are revealed through using an off-line land surface model with a reasonable soil thermal forcing at the bottom of the soil layer.In the first experiment, the given heat flux is 5 W m-2 at the bottom of the soil layer (in depth of 6.3 m)for 3 months, while only a positive ground temperature anomaly of 0.06℃ can be found compared to the control run. The anomaly, however, could reach 0.65℃ if the soil thermal conductivity was one order of magnitude larger. It could be even as large as 0.81℃ assuming the heat flux at bottom is 10 W m-2. Meanwhile, an increase of about 10 W m-2 was detected both for heat flux in soil and sensible heat on land surface, which is not neglectable to the short-term climate change. The results show that considerable response in land surface energy budget could be expected when the soil thermal forcing reaches a certain spatial-tem poral scale. Therefore, land surface models should not ignore the upward heat flux from the bottom of the soil layer. Moreover, integration for a longer period of time and coupled land-atmosphere model are also necessary for the better understanding of this issue. 相似文献
63.
该文主要对适合于北京地区的土壤水分卫星遥感监测方法,利用GIS及GPS工具,提高对土壤水分卫星遥感监测结果的分析能力进行了探讨。在分析研究北京地区土壤水分卫星遥感监测模式及适宜使用的下垫面状况和时段的基础上,提出了一批具有一定物理意义和应用价值的遥感模式。利用GIS和GPS技术实现包括遥感信息在内的多种数据的复合,以影像的方式,将地表地理状况与土壤水分卫星遥感监测结果结合起来,实现了RS、GIS及GPS的融合,提高了土壤水分卫星遥感监测的精度。 相似文献
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66.
土壤离子电导率测量是隐伏金属矿床、贵金属矿床普查找矿的重要技术方法,本研究应用该方法对隐伏可地浸砂岩铀矿进行普查找矿实验研究。实验表明,本区土壤离子电导率背景值为22.91μs/cm,异常平均值为513.96μs/cm,最高异常值达1349.30μs/cm。它可以圈定舌状蚀变砂岩体与未蚀变砂岩的接触边界,从而可以圈定隐伏砂岩铀矿的产出位置,是隐伏可地浸砂岩铀矿普查找矿的既经济又有效的方法。 相似文献
67.
Ground fissuring is a recurrent problem in many countries where water extraction surpasses the natural recharge of aquifers. Due to differential settlement, the soil layer undergoes deformation and cracks with serious consequences for civil infrastructure. Here, we propose an approximate analysis of the fissuring process that can be used to predict the location of cracks, which increasingly affect some middle- and large-sized cities in the world. For that purpose, the ground loss theory is applied to sediments overlying a sinusoidal-shaped graben. This analysis shows the existence of a tensile zone at the border of the graben with maximal values on its shoulder where tension cracks are more likely to appear. It also shows that soil deformation under differential settlement may evolve into ground faulting if water withdrawal continues. Finally, when a crack has completely developed, the tensile zone shifts towards the center of the graben, creating a new area for potential cracking and faulting. 相似文献
68.
Tongxin ZHU 《国际泥沙研究》2002,17(4)
1 INTRODUCTION Soil crusting, or soil sealing, is one of the common phenomena in agricultural lands or semi-arid and arid soils. Due to the breakdown of soil aggregates by raindrops, soil surface develops a very thin, often less than a few millimeters, dense layer. Many studies indicated that such a thin layer significantly reduces infiltration capacity and increases surface runoff (i.e. McIntyre, 1958; Edward and Larson, 1969; Agassi et al., 1985; Bradford et al., 1986; Romkens et al.,… 相似文献
69.
Fuzzy neural network models for liquefaction prediction 总被引:1,自引:0,他引:1
Integrated fuzzy neural network models are developed for the assessment of liquefaction potential of a site. The models are trained with large databases of liquefaction case histories. A two-stage training algorithm is used to develop a fuzzy neural network model. In the preliminary training stage, the training case histories are used to determine initial network parameters. In the final training stage, the training case histories are processed one by one to develop membership functions for the network parameters. During the testing phase, input variables are described in linguistic terms such as ‘high’ and ‘low’. The prediction is made in terms of a liquefaction index representing the degree of liquefaction described in fuzzy terms such as ‘highly likely’, ‘likely’, or ‘unlikely’. The results from the model are compared with actual field observations and misclassified cases are identified. The models are found to have good predictive ability and are expected to be very useful for a preliminary evaluation of liquefaction potential of a site for which the input parameters are not well defined. 相似文献
70.
分析了采用细胞自动机研究波动问题的建模方法,针对一维、均匀、各向同性固体介质中弹性纵波的微观机制,借用一经典弹簧振子模型、细胞自动机格子气模型,以及量子力学中的无限深势阱模型,建立了一个细胞自动机有限深势阱模型,从量子力学角度出发,基于介观物理和纳米概念,以微观精子的德布罗意假设为基础,利用薛定谔方程,讨论了该模型中粒子(分子组)的振动速度与粒子物质波波速之间的联系,给出了模型中的波动方程,得出ζ=Vp(ζ为粒子振动速度,Vp为物质波纵波波速)。同时还讨论了模型中粒子的大小和能量传递问题,引入引力场,得出了能量及引力势的量子化条件,另外,对声波速度、格子气粒子振动速度和本文模型中分子组振动速度进行了比较;还对本文模型中的粒子能量分布作了分析。 相似文献