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排序方式: 共有324条查询结果,搜索用时 78 毫秒
1.
对煤炭资源勘查资源量与客观物质量之间差值的误差理论探讨,提出误差由真值误差、系统误差和离差3个基本部分组成,其中真值误差是不可消除的观测误差、系统误差是控制网度所决定的准确度标准、而离差是由地质构造及矿床形态的多解性产生的资源量波动。在此基础上,构筑了一个关于误差的数学模型,最后应用误差理论对现行勘查工作中常见的错误进行分析,并就如何避免错误及减少误差提出了见解。 相似文献
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在山西霍山七里峪林场,采用间接的光学测量方法对沿着海拔分布的植物群落主要层叶面积指数(LAI)进行了测量,从不同的角度对LAI的垂直分布规律进行分析。结果表明:1.海拔不同,LAI表现出很大的差异,海拔1750m左右的LAI值大于较高与较低海拔的;对LAI和海拔之间的关系进行回归,得到LAI分布的拟合方程:y=b0+b1x+b2x^2+b3x^3(R=0.712,P〈0.01)。2.同一海拔样带,阴坡LAI均大于阳坡,但对同种种群来说,阴坡树种平均胸径并不一定均大于阳坡。3.植被类型LAI比较表现为:低山针叶林〈低山灌丛〈落叶阔叶林〈落叶针叶林〈常绿针叶林;而主要群系LAI比较表现为:油松林(0.38)〈落叶松林(0.78)〈山杨林及其混交林(1.09)〈白桦林(2.00)〈辽东栎林及其混交林(3.73)。4.典型群落LAI值变化分析和人工林与天然林以,比较表明,LAI值在一定海拔达到最大值,这对于山西霍山人工林栽培和丰产林培育等具有重要意义。 相似文献
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Paleolatitudes of the Kerguelen hotspot: new paleomagnetic results and dynamic modeling 总被引:1,自引:0,他引:1
The Kerguelen Plateau, a Large Igneous Province in the southern Indian Ocean, was formed as a product of the Kerguelen hotspot in several eruptive phases during the last 120 Myr. We obtained new paleolatitudes for the central and northern Kerguelen Plateau from paleomagnetic investigations on basalts, which were drilled during ODP Leg 183 to the Kerguelen Plateau-Broken Ridge. The paleolatitudes coincide with paleolatitudes from previous investigations at the Kerguelen Plateau and Ninetyeast Ridge (the track of the Kerguelen hotspot) and indicate a difference between paleolatitudes and present position at 49°S of the Kerguelen hotspot. We show that true polar wander, the global motion between the mantle and the rotation axis, cannot explain this difference in latitudes. We present numerical model results of plume conduit motion in a large-scale mantle flow and the resulting surface hotspot motion. A large number of models all predict southward motion between 3° and 10° for the Kerguelen hotspot during the last 100 Myr, which is consistent with our paleomagnetic results. 相似文献
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叶面积指数(LAI)的遥感定量方法综述 总被引:65,自引:10,他引:65
总结了当前遥感定量研究叶面积指数(LAI)的两种主要方法:统计模型法和光学模型法,阐述了各自的机理和研究进展,在此基础上,讨论了两种方法的优缺点及未来的发展趋势。 相似文献
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The aim of this paper is to investigate the feasibility of using Landsat TM data to retrieve leaf area index (LAI). To get a LAI retrieval model based ground reflectance and vegetation index, detailed field data were collected in the study area of eastern China, dominated by bamboo, tea plant and greengage. Plant canopy reflectance of Landsat TM wavelength bands has been inversed using software of 6S. LAI is an important ecological parameter. In this paper, atmospheric corrected Landsat TM imagery was utilized to calculate different vegetation indices (VI), such as simple ratio vegetation index (SR), shortwave infrared modified simple ratio (MSR), and normalized difference vegetation index (NDVI). Data of 53 samples of LAI were measured by LAI-2000 (LI-COR) in the study area. LAI was modeled based on different reflectances of bands and different vegetation indices from Landsat TM and LAI samples data. There are certainly correlations between LAI and the reflectance of Tm3, TM4, TM5 and TM7. The best model through analyzing the results is LAI = 1.2097*MSR + 0.4741 using the method of regression analysis. The result shows that the correlation coefficient R2 is 0.5157, and average accuracy is 85.75%. However, whether the model of this paper is suitable for application in subtropics needs to be verified in the future. 相似文献
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Natural ecosystems in the region of the lower Tarim River in northwestern China strongly deteriorated since the 1950s due to an expanding desertification. As a result, the downstream Tarim River reaches became permanently dry land. This historical evolution in land‐use change is typically the result of the anthropogenic impact on natural ecosystems. On the basis of a spatially distributed hydrological catchment model bidirectionally linked with a fully hydrodynamic MIKE11 river model, land‐use changes characterized by historical changes in leaf area index (LAI) of vegetation, as well as the evolution of irrigated surface areas, can be causally related to changes in water resources (groundwater storage and surface water resources). An increased surface area of irrigated (agricultural) land, together with a majority of inefficient irrigation methods, did lead to a strong increase of water resources consumption of the farmlands located in the upper Tarim River area. Evidently, this evolution influenced available water resources downstream in the Tarim basin. As a result, farmland has been gradually relocated to the upstream regions. This has led to reduced flows from the upper Tarim stream, which subsequently accelerated the dropping of the groundwater level downstream in the basin. This study moreover demonstrates that land surface biomass changes (cumulative LAI) along the lower Tarim River are strongly related to the changes in groundwater storage. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
9.
As an important canopy structure indicator, leaf area index (LAI) proved to be of considerable implications for forest ecosystem and ecological studies, and efficient techniques for accurate LAI acquisitions have long been highlighted. Airborne light detection and ranging (LiDAR), often termed as airborne laser scanning (ALS), once was extensively investigated for this task but showed limited performance due to its low sampling density. Now, ALS systems exhibit more competing capacities such as high density and multi-return sampling, and hence, people began to ask the questions like—“can ALS now work better on the task of LAI prediction?” As a re-examination, this study investigated the feasibility of LAI retrievals at the individual tree level based on high density and multi-return ALS, by directly considering the vertical distributions of laser points lying within each tree crown instead of by proposing feature variables such as quantiles involving laser point distribution modes at the plot level. The examination was operated in the case of four tree species (i.e. Picea abies, Pinus sylvestris, Populus tremula and Quercus robur) in a mixed forest, with their LAI-related reference data collected by using static terrestrial laser scanning (TLS). In light of the differences between ALS- and TLS-based LAI characterizations, the methods of voxelization of 3D scattered laser points, effective LAI (LAIe) that does not distinguish branches from canopies and unified cumulative LAI (ucLAI) that is often used to characterize the vertical profiles of crown leaf area densities (LADs) was used; then, the relationships between the ALS- and TLS-derived LAIes were determined, and so did ucLAIs. Tests indicated that the tree-level LAIes for the four tree species can be estimated based on the used airborne LiDAR (R2 = 0.07, 0.26, 0.43 and 0.21, respectively) and their ucLAIs can also be derived. Overall, this study has validated the usage of the contemporary high density multi-return airborne LiDARs for LAIe and LAD profile retrievals at the individual tree level, and the contribution are of high potential for advancing forest ecosystem modeling and ecological understanding. 相似文献
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物候和叶面积指数的季节动态在落叶林中是决定生态系统净生产力的关键因素。尽管物 候对能量和CO2 通量的影响可以简单地通过描述发芽和落叶的时间以及叶面积指数的季节动态 来表示, 但是由于对驱动物候的物理过程缺乏全面正确的理解, 在陆地生态系统模型中物候就成 为最难以参数化的一个过程。目前, 在陆地生态系统模型中描述物候主要有两种不同的方法: 一 种是基于气候变量( 主要是温度或积温) 的经验方法, 即是通过建立物候不同阶段与气候变量的 经验关系来预测关键物候事件发生的时间。另一种方法是基于碳吸收的物候参数化方案, 物候的 任何阶段都和当前的碳平衡相联系。在生态系统模型中, 基于碳吸收的物候参数化方法可以大大 降低物候模拟的经验性, 提高模型的适用性和模拟精度, 比基于气候变量的经验模型更适于模拟 未来气候变化影响。未来随着生理和分子水平上, 对控制物候和LAI 动态过程机理的揭示, 建立 基于过程的物候参数化方案和LAI 动态模拟模型就成为生态系统模型或气候模型的发展方向。 相似文献