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32.
Mineralogy and Petrology - Water solubility in Mg-endmember silicates is suggested to correlate with cation diffusivity. This study proposes a thermodynamic model by introducing the concept of... 相似文献
33.
贵州草海湿地不同水位梯度土壤碳、氮、磷含量及其生态化学计量比分布特征 总被引:1,自引:0,他引:1
对贵州草海湿地4种水位梯度下(农田区、过渡区、浅水区和深水区)表层土壤(0~10 cm)碳、氮、磷含量及其生态化学计量比进行研究,以期揭示草海湿地不同水位梯度下土壤碳、氮、磷生态化学计量比的分布特征及其影响因素.结果表明:土壤总有机碳(TOC)、总氮(TN)及总磷(TP)含量在不同水位梯度之间均差异显著,由过渡区至深水区,土壤TOC及TN含量均呈递增趋势,而TP含量呈先降低后增加的趋势;农田区土壤TN含量显著高于浅水区,但深水区土壤TP含量显著低于农田区.不同水位梯度土壤碳氮比(C/N)、碳磷比(C/P)和氮磷比(N/P)也存在显著差异,由过渡区至深水区,土壤C/P和N/P均呈递增趋势,而C/N呈先增加后降低的趋势;与过渡区相比,农田区土壤C/N、C/P和N/P总体偏低.相关性分析表明:土壤C/N、C/P和N/P的空间分布与土壤TOC、TN、含水量等理化性质有关.可见,草海湿地水位变化对土壤TOC、TN和TP含量以及C/N、C/P及N/P的空间分布具有显著影响,且水位升高有利于增强土壤碳、氮、磷的固存潜力. 相似文献
34.
The summer of 2019 witnessed a great number of wildfires around the globe.For example,wildfires scorched huge swaths of Alaska,British Columbia in Canada,and parts of Greenland.And forest fires in Siberia and the Far East of Russia were also very serious,affecting nearly 3 million hectares of land,and putting some parts of Russia into a state of emergency.In particular,forest fires in the Amazon region had attracted global attention.According to Science,as of August 24,BraziPs National Institute for Space Research had counted more than 41000 fires this year,86%more than last year,compared with 22000 in the same period last year.Scientists in Brazil and elsewhere believe that the recent increase of wildfires is closely related to the increasing ac・tivities of deforestation(Arruda et al.,2019;Escobar,2019). 相似文献
35.
Ocean Dynamics - Based on a non-hydrostatic two-dimensional and high-resolution model, evolution of internal solitary waves (ISWs) on the typical slope-shelf topography in the northern South China... 相似文献
36.
Acta Geotechnica - A new numerical approach based on the particle discrete element method (PDEM) is developed to investigate the mechanical behavior of transversely isotropic rocks with... 相似文献
37.
长腹剑水蚤属(Oithona)是广泛分布于海洋近岸和外海海域的中小型桡足类中最为丰富的类群之一,由于个体小且形态差异微小,通过传统的形态学分类法对其进行准确鉴定难度较大。本文对南海分布的长腹剑水蚤属内的5个种,即瘦长腹剑水蚤(O.tenuis)、羽长腹剑水蚤(O.plumifera)、刺长腹剑水蚤(O.setigera)、伪长腹剑水蚤(O.fallax)和长刺长腹剑水蚤(O.longispina)线粒体COⅠ基因序列以及DNA数据库中长腹剑水蚤属其他地区种类COⅠ基因序列进行比较分析,使用ABGD (Automatic Barcode Gap Discovery)和GMYC (Generalized Mixed Yule Coalescent)模型进行物种界定,分析种间种内遗传距离,并构建系统进化关系。结果显示ABGD和GMYC模型均可以很好地对长腹剑水蚤进行种类划分;种内遗传距离为0.0%~1.6%,种间遗传距离为17.7%~44.5%(Kimura 2-parameter双参数模型),表明种间出现较高的分化;贝叶斯系统树和最大似然树进化树结果均表明,简长腹剑水蚤(O.simplex)与其他种类相距较远,羽长腹剑水蚤和拟长腹剑水蚤(O.similis)中存在隐种的分化,分别是我国南海海域和地中海的羽长腹剑水蚤以及朝鲜海峡和北海的拟长腹剑水蚤,种间遗传距离分别为18.6%、22.9%。 相似文献
38.
Vacuum preloading is often used to improve the geotechnical properties of dredged slurry. Although the performance of this method has improved with rapidly developing technology, soil columns usually formed on the drainage boundary induce the decrease of permeability around the boundary, thereby limiting the further development of this method. To address this issue, this paper proposes a method for pretreating the slurry combined with sand prior to vacuum consolidation. This method partially replaces the fine particles with sand to reduce the formation of soil columns. Two groups of vacuum preloading tests were performed to investigate the effect of sand content and sand grain size on the vacuum consolidation of dredged slurry. The test results revealed that for a given sand grain size, increasing the sand content of the sand–slurry mixture increased the pore water drainage and accelerated the dissipation of pore water pressure, thereby increasing the vane shear strength. In contrast, for a constant sand content, the samples containing coarse sand exhibited increased pore water drainage and accelerated dissipation of pore water pressure, thereby increasing the vane shear strength of the soil. 相似文献
39.
Yinpo Xu Cheng Yin Xuefeng Zou Yudong Ni Yingjie Pan Liangjun Xu 《Geophysical Prospecting》2020,68(4):1228-1252
As the application of high-density high-efficiency acquisition technology becomes more and more wide, the areas with complex surface conditions gradually become target exploration areas, and the first-break picking work of massive low signal-to-noise ratio data is a big challenge. The traditional method spends a lot of manpower and time to interactively pick first breaks, a large amount of interactive work affects the accuracy and efficiency of picking. In order to overcome the shortcoming that traditional methods have weak anti-noise to low signal-to-noise ratio primary wave, this paper proposes a high accurate automated first-break picking method for low signal-to-noise ratio primary wave from high-density acquisition in areas with a complex surface. Firstly, this method determines first-break time window using multi-azimuth spatial interpolation technology; then it uses the improved clustering algorithm to initially pick first breaks and then perform multi-angle comprehensive quality evaluation to first breaks according to the following sequence: ‘single trace → spread → single shot → multiple shots’ to identify the abnormal first breaks; finally it determines the optimal path through the constructed evaluation function and using the ant colony algorithm to correct abnormal first breaks. Multi-azimuth time window spatial interpolation technology provides the base for accurately picking first-break time; the clustering algorithm can effectively improve the picking accuracy rate of low signal-to-noise ratio primary waves; the multi-angle comprehensive quality evaluation can accurately and effectively eliminate abnormal first breaks; the ant colony algorithm can effectively improve the correction quality of low signal-to-noise ratio abnormal first breaks. By example analysis and comparing with the commonly used Akaike Information Criterion method, the automated first-break picking theory and technology studied in this paper has high picking accuracy and the ability to stably process low signal-to-noise ratio seismic data, has a significant effect on seismic records from high-density acquisition in areas with a complex surface and can meet the requirements of accuracy and efficiency for massive data near-surface modelling and statics calculation. 相似文献
40.
Bedrock erosion due to hoeing as tillage technique in a hilly agricultural landscape,southwest China
Tillage on hillslopes may not only induce severe soil erosion, but may also cause bedrock erosion under certain conditions. Yet, little is known about bedrock erosion by tillage in a hilly agricultural landscape, southwest China. The aim of this study is to quantify the translocation of rock fragments derived from bedrock fragmentation by hoeing under different conditions, including slope gradient, hoeing depth and soil-covered thickness using a gravel tracing method. The reliability of the gravel tracing method was confirmed by the bedrock dyeing tracing method. Hoeing depth is a significant factor affecting the translocation rate of rock fragments (Qr ). Meanwhile, under the condition of overlying soil layers (0.06−0.10 m thick), the values of Qr were significantly smaller with a reduction of 20.7−25.6%, compared with rock fragmentation by hoeing for bare bedrock. However, slope gradient was found to have insignificant effects on Qr . Fractured bedrock moved as individual small fragments, which was mainly controlled by the hitting force of the hoe, while soil moved in the shape of lumps, which was dominated by both drag force of the hoe and gravity. This study suggests that hoeing into soil-covered bedrock can diminish bedrock erosion while providing soil matrix for shallow soil layers. Our work presents a quantitative assessment of bedrock erosion by hoeing and an underlying insight into characteristics of bedrock erosion by tillage operations in hilly agricultural regions with mudstone and shale, southwest China. © 2020 John Wiley & Sons, Ltd. 相似文献