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991.
The spatial variation of soil moisture over very small areas (<100 m2) can have nonlinear impacts on cycling and flux rates resulting in bias if it is not considered, but measuring this variation is difficult over extensive temporal and spatial scales. Most studies examining spatial variation of soil moisture were conducted at hillslope (0.01 km2) to multi-catchment spatial scales (1000 km2). They found the greatest variation at mid wetness levels and the smallest variation at wet and dry wetness levels forming a concave down relationship. There is growing evidence that concave down relationships formed between spatial variation of soil moisture and average soil moisture are consistent across spatial scales spanning several orders of magnitude, but more research is needed at very small, plot scales (<100 m2). The goal of this study was to characterise spatial variation in shallow soil moisture at the plot scale by relating the mean of measurements collected in a plot to the standard deviation (SD). We combined data from a previous study with thousands of new soil moisture measurements from 212 plots in eight catchments distributed across the US Mid-Atlantic Region to (1) test for a generalisable mean–SD relationship at plot scales, (2) characterise how landcover, land use, season, and hillslope position contribute to differences in mean–SD relationships, and (3) use these generalised mean–SD relationships to quantify their impacts on catchment scale nitrification and denitrification potential. Our study found that 98% of all measurements formed a generalised mean–SD relationship like those observed at hillslope and catchment spatial scales. The remaining 2% of data comprised a mean–SD relationship with greater spatial variation that originated from two riparian plots reported in a previous study. Incorporating the generalised mean–SD relationship into estimates of nitrification and denitrification potential revealed strong bias that was even greater when incorporating mean–SD observations from the two riparian plots with significantly greater spatial variation.  相似文献   
992.
The (THM) coupling effects on the dynamic wave propagation and strain localization in a fully saturated softening porous medium are analyzed. The characteristic polynomial corresponding to the governing equations of the THM system is derived, and the stability analysis is conducted to determine the necessary conditions for stability in both non‐isothermal and adiabatic cases. The result from the dispersion analysis based on the Abel–Ruffini theorem reveals that the roots of the characteristic polynomial for the THM problem cannot be expressed algebraically. Meanwhile, the dispersion analysis on the adiabatic case leads to a new analytical expression of the internal length scale. Our limit analysis on the phase velocity for the non‐isothermal case indicates that the internal length scale for the non‐isothermal THM system may vanish at the short wavelength limit. This result leads to the conclusion that the rate‐dependence introduced by multiphysical coupling may not regularize the THM governing equations when softening occurs. Numerical experiments are used to verify the results from the stability and dispersion analyses. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   
993.
利用cm级空间分辨率的无人机高光谱图像研究了NDVI、PRI等14种植被指数随空间尺度升高的变化规律,并分析了不同植被覆盖度(FVC)下植被指数的空间尺度效应,比较了各植被指数空间尺度效应的强弱。得到的结论如下:(1)随着空间尺度升高,不同植被指数的变化趋势和幅度并不一致;(2)cm级的空间分辨率下,由于植被类内光谱差异和冠层阴影的影响,植被指数在植被覆盖度大于等于0.5的中高植被覆盖下受空间尺度效应的影响更大;(3)由相对简单的比值形式构成的植被指数如NDVI、SR等,具有抵抗空间尺度效应的能力,增加计算公式的复杂性会降低这种能力;(4)对色素和冠层水分敏感的窄波段容易受到空间尺度效应的影响,进而使得由这些窄波段构成的植被指数对空间尺度变化更为敏感。  相似文献   
994.
龚正  李海兵  唐方头  吴羿锋  王磊 《地质学报》2023,97(7):2111-2125
2008年汶川地震促使人们思考青藏高原东南缘走向和规模与龙门山断裂带相近的丽江- 小金河断裂的活动历史,但受限于地质条件制约断裂尤其是其北段相关研究极其薄弱。基岩断裂带的物质组成与结构特征是断层长期活动的产物,蕴含丰富的历史活动信息。本文以丽江- 小金河断裂盐源段多个天然剖面为研究对象,通过详细的断裂带宏观结构调查、断层岩显微构造及XRD分析发现:① 断层破碎带以一套厚度>20 m的破裂面密集带为特征,优势破裂面走向为NE20°~30°,推测为丽江- 小金河断裂长期活动形成的张剪性破裂;② 断层带核部以断层角砾岩和断层泥为主,灰岩角砾岩黏土矿物含量~2%,以伊利石和伊蒙混层为主,粉砂岩断层泥黏土矿物含量~52%,以坡缕石和绿泥石为主,石英含量36%,缺失长石类矿物。断裂带宏观结构和断层岩微观结构特征均表现为角砾呈棱角状,砾径差异极大且呈零散状分布,符合快速滑动特征,指示断层滑移方式为黏滑。此外,核部断层岩带统计厚5~8 m,这一规模相对于龙门山映秀- 北川断裂带核部180~280 m和安县- 灌县断裂带核部40~50 m显著偏小,表明前者自形成以来的活动性远低于后者,两者的地震行为并不能简单类比。结合断裂在宏观结构特征、断层岩成分与种类以及所反映的滑动方式与隆升剥蚀量的差异,认为丽江- 小金河断裂更可能是鲜水河断裂切断锦屏山- 龙门山构造带之后形成的,晚新生代与龙门山断裂带具有不同的活动历史。  相似文献   
995.
采用含有叠环的大型粗粒土直剪试验设备进行试验,叠环作为剪切盒的重要组成部分,可以在剪切时根据粗粒土的结构形成多组剪切面,能够明显地展现出粗粒土的剪切变形特征.为了分析硬质岩粗粒对粗粒土的剪切强度和变形的影响,对粗粒岩性为花岗岩的粗粒土进行大型叠环式直剪试验.通过分析得到试验特征规律,研究粗粒土在剪切过程中的颗粒运动,得出花岗岩粗粒对其组成的粗粒土的剪切强度和变形有很大的影响.硬质岩性的花岗岩颗粒在剪切时不易被剪碎,在剪切过程中主要做错位、翻滚运动.低轴压下,剪切带位移会出现阶梯现象,而在高轴压下,剪切带位移为线性变化,并表现出更加明显的剪胀现象.粗粒土在剪切破坏后依然具有较高的抗剪强度和稳定性,为工程建设中土石体材料的选取提供了一定的借鉴.  相似文献   
996.
通过对青海调查矿区多种高分辨率卫星数据处理后形成的图像进行解译和编图,掌握了合理选择遥感数据信息源、利用制图软件计算遥感影像图比例尺及编制野外调查和成果解译图的技术方法。得出在选择遥感数据时要考虑不同数据的技术参数、性价比及调查区面积;明确了当图像的出图分辨率确定后,其比例尺与图像的空间分辨率、像素大小、文档大小有直接关系,同时建立了计算遥感图像最佳比例尺和最佳出图比例尺的公式和方法;介绍了利用Photoshop和Mapgis软件,编制矿山野外调查用图和遥感解译成果图件的流程及方法。这些工作的完成对青海矿业开发地质环境效应调查起到了积极的指导作用,也充分体现了高分辨率遥感图像在工作条件艰苦地区的优势作用。  相似文献   
997.
景观多样性指数(LDI)不仅是景观生态学研究中的一个重要指标,而且也是生物多样保护中的重要层次。基于土地利用栅格数据(30 m分辨率),在ArcMap环境中采用Neighborhood和Focal工具对宁夏沿黄绿洲LDI时空变化和尺度依赖特征进行了研究。结果表明:(1)基本单元(正方形)边长90~6000 m 5个时期重复统计分析表明宁夏沿黄绿洲景观在空间上具有明显的尺度依赖特征,转折点在3000 m。(2)近50 a来研究区LDI变化具有周期性,2000年是转折点。其中,1975—2000年LDI呈降低趋势,LDI分区分析显示以退化区斑块类型面积(CA)最大和好转区CA最小为主要特点,分别为6840 km2和1332 km2。2000—2020年LDI呈增加趋势,以稳定区CA最大和退化区CA最小为主要特点,分别为7848 km2和792 km2;由于此阶段初始LDI(2000年)最低,LDI后期好转程度没有达到前期水平。(3)LDI分级面积转换以前期好转区向后期稳定区流转(796km2<...  相似文献   
998.
以西秀区2000、2010和2020年乡村聚落斑块为基础数据,运用乡村位序-规模法则、聚落规模等级模型等方法,分析西秀区乡村聚落等级规模分布特征及演变规律,并分析屯堡聚落在该过程的发展变化。结果显示:1)乡村聚落总规模、聚落数量总体上呈增长趋势,3个时段屯堡聚落面积占乡村聚落总面积的比例超过20%;2)西秀区乡村聚落规模分布符合乡村位序-规模法则,拟合优度在0.90以上,负指数分布特征突出,并表现出“首位聚落”和“垂尾”分布特征,2000—2010年乡村聚落规模趋于集中分布,2010—2020年趋于均衡;3)不同等级乡村聚落空间分布位置相对稳定,数量上呈低等级向高等级演变;4)屯堡聚落规模稳定增长,是高位序、高规模等级聚落的重要组成部分,但少部分屯堡聚落位序出现倒退现象。未来应科学规划乡村聚落用地布局,形成合理的乡村聚落等级规模结构,保护屯堡文化,打造区域特色聚落。  相似文献   
999.
In isotope 137 Cs tracing studies, it is a premise to determine suitable 137 Cs reference inventory(CRI) plots and the CRI values. Owing to the heterogeneous spatial distribution of 137 Cs deposition in the ground and diverse, or even irregular, operations in sampling and testing procedures, CRI determination is usually faced with many difficulties and uncertainties. In addition, more difficulties occur in an investigation of a large-scale region because of time constraints and measurement cost limitations. In this study, traditional CRI acquiring methods were summarized first, and then a new complex scheme was established, involving seven core steps and coupling the model estimate and sample measurement. The above CRI determination methodology was implemented in the central-eastern Inner Mongolia Plateau. The case study results showed that the CRI in the dark chestnut soil sub-region, located in the east and south of Xing'an City, exhibited 2447 Bq·m–2; the CRI in the aeolian sandy soil sub-region, positioned in the south central Tongliao City and central Chifeng City, showed 2430 Bq·m–2; the CRI in the sandy chernozem soil sub-region, situated in the northwestern Chifeng City, presented 2384 Bq·m–2; and the CRI in the chestnut soil sub-region, in the southern Xilin Gol City, was 2368 Bq·m–2. The newly proposed CRI determination scheme was proved effective, and the determined CRI plots and CRI values were convincing. The methodology offered a framework for 137 Cs tracing studies in large-scale regions or long-distance transects.  相似文献   
1000.
Animals select habitat resources at multiple spatial scales. Thus, explicit attention to scale dependency in species–habitat relationships is critical to understand the habitat suitability patterns as perceived by organisms in complex landscapes. Identification of the scales at which particular environmental variables influence habitat selection may be as important as the selection of variables themselves. In this study, we combined bivariate scaling and Maximum entropy (Maxent) modeling to investigate multiscale habitat selection of endangered brown bear (Ursus arctos) populations in northwest Spain. Bivariate scaling showed that the strength of apparent habitat relationships was highly sensitive to the scale at which predictor variables are evaluated. Maxent models on the optimal scale for each variable suggested that landscape composition together with human disturbances was dominant drivers of bear habitat selection, while habitat configuration and edge effects were substantially less influential. We found that explicitly optimizing the scale of habitat suitability models considerably improved single-scale modeling in terms of model performance and spatial prediction. We found that patterns of brown bear habitat suitability represent the cumulative influence of habitat selection across a broad range of scales, from local resources within habitat patches to the landscape composition at broader spatial scales.  相似文献   
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