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91.
Zhiwei Xu James Irving Kyle Lindsay John Bradford Peimin Zhu Klaus Holliger 《Geophysical Prospecting》2020,68(2):678-689
Knowledge about the stochastic nature of heterogeneity in subsurface hydraulic properties is critical for aquifer characterization and the corresponding prediction of groundwater flow and contaminant transport. Whereas the vertical correlation structure of the heterogeneity is often well constrained by borehole information, the lateral correlation structure is generally unknown because the spacing between boreholes is too large to allow for its meaningful inference. There is, however, evidence to suggest that information on the lateral correlation structure may be extracted from the correlation statistics of the subsurface reflectivity structure imaged by surface-based ground-penetrating radar measurements. To date, case studies involving this approach have been limited to 2D profiles acquired at a single antenna centre frequency in areas with limited complementary information. As a result, the practical reliability of this methodology has been difficult to assess. Here, we extend previous work to 3D and consider reflection ground-penetrating radar data acquired using two antenna centre frequencies at the extensively explored and well-constrained Boise Hydrogeophysical Research Site. We find that the results obtained using the two ground-penetrating radar frequencies are consistent with each other, as well as with information from a number of other studies at the Boise Hydrogeophysical Research Site. In addition, contrary to previous 2D work, our results indicate that the surface-based reflection ground-penetrating radar data are not only sensitive to the aspect ratio of the underlying heterogeneity, but also, albeit to a lesser extent, to the so-called Hurst number, which is a key parameter characterizing the local variability of the fine-scale structure. 相似文献
92.
ABSTRACT The Ganjiang River is the largest tributary of Poyang Lake in China, and its hydrological regime variation greatly affects the utilization of regional water resources and the ecological environment of the lake. In this study, a novel trend analysis method, the Moving Average over Shifting Horizon (MASH), was applied to investigate the inter- and intra-annual trends of flow and water level from 1976 to 2016 at the Xiajiang and the Waizhou hydrological stations in the Ganjiang River. The Significant Change Rate Method (SCRM) was proposed to determine the MASH averaging parameters. The trend analysis results show a statistically significant decrease in water level series throughout the year and the relationship of flow and water level have changed greatly at the Waizhou station. The sediment load reduction, large-scale sand mining and water level decrease of Poyang Lake are identified as the main causes for the water level decrease. 相似文献
93.
To better understand the mechanisms relating to hydrological regulations of chemical weathering processes and dissolved inorganic carbon (DIC) behaviours, high-frequency sampling campaigns and associated analyses were conducted in the Yu River, South China. Hydrological variability modifies the biogeochemical processes of dissolved solutes, so major ions display different behaviours in response to discharge change. Most ions become diluted with increasing discharge because of the shortened reactive time between rock and water under high-flow conditions. Carbonate weathering is the main source of major ions, which shows strong chemostatic behaviour in response to changes in discharge. Ions from silicate weathering exhibit a significant dilution effect relative to the carbonate-sourced ions. Under high temperatures, the increased soil CO2 influx from the mineralisation of organic material shifts the negative carbon isotope ratios of DIC (δ13CDIC) during the high-flow season. The δ13CDIC values show a higher sensitivity than DIC contents in response to various hydrological conditions. Results from a modified isotope-mixing model (IsoSource) demonstrate that biological carbon is a dominant source of DIC and plays an important role in temporal carbon dynamics. Furthermore, this study provides insights into chemical weathering processes and carbon dynamics, highlighting the significant influence of hydrological variability to aid understanding of the global carbon cycle. 相似文献
94.
ABSTRACTA new deep extreme learning machine (ELM) model is developed to predict water temperature and conductivity at a virtual monitoring station. Based on previous research, a modified ELM auto-encoder is developed to extract more robust invariance among the water quality data. A weighted ELM that takes seasonal variation as the basis of weighting is used to predict the actual value of water quality parameters at sites which only have historical data and no longer generate new data. The performance of the proposed model is validated against the monthly data from eight monitoring stations on the Zengwen River, Taiwan (2002–2017). Based on root mean square error, mean absolute error, mean absolute percentage error and correlation coefficient, the experimental results show that the new model is better than the other classical spatial interpolation methods. 相似文献
95.
Hong Huang Xiaoliang Ji Fang Xia Shuhui Huang Xu Shang Han Chen Minghua Zhang Randy A. Dahlgren Kun Mei 《水文研究》2020,34(5):1213-1227
Regression-based methods are commonly used for riverine constituent concentration/flux estimation, which is essential for guiding water quality protection practices and environmental decision making. This paper developed a multivariate adaptive regression splines model for estimating riverine constituent concentrations (MARS-EC). The process, interpretability and flexibility of the MARS-EC modelling approach, was demonstrated for total nitrogen in the Patuxent River, a major river input to Chesapeake Bay. Model accuracy and uncertainty of the MARS-EC approach was further analysed using nitrate plus nitrite datasets from eight tributary rivers to Chesapeake Bay. Results showed that the MARS-EC approach integrated the advantages of both parametric and nonparametric regression methods, and model accuracy was demonstrated to be superior to the traditionally used ESTIMATOR model. MARS-EC is flexible and allows consideration of auxiliary variables; the variables and interactions can be selected automatically. MARS-EC does not constrain concentration-predictor curves to be constant but rather is able to identify shifts in these curves from mathematical expressions and visual graphics. The MARS-EC approach provides an effective and complementary tool along with existing approaches for estimating riverine constituent concentrations. 相似文献
96.
采用间接边界元法(IBEM)结合"分区契合"技术,研究qP波入射下横观各向同性(TI)场地中衬砌隧道的动力响应问题。方法充分利用半空间和全空间动力格林函数在分别构造含孔半无限空间域和闭合域内散射波场方面的优势,将含有衬砌隧道的层状弹性半空间分解为含孔半无限空间域和一个环形衬砌闭合域来分别进行波场构造,有效地降低了求解时间和存储量。文中验证方法的正确性,并以均匀TI半空间和基岩上单一TI土层为例,计算分析弹性半空间场地中隧道衬砌内表面动应力放大问题。结果表明qP波入射下,TI介质与各向同性介质场地中埋置衬砌隧道的动力响应差异显著,TI介质参数的变化导致场地动力特性的改变,进而改变场地与衬砌隧道的动力相互作用机制,显著影响着衬砌内表面动应力的大小及其空间分布。 相似文献
97.
由于存在大量粗糙不规则裂隙,使得岩体中流体运动极为复杂。针对天然粗糙岩石裂隙渗流试验存在物理模型隐蔽性和不可重复性等难点,基于三维Weierstrass-Mandelbrot分形函数构建了粗糙节理面的裂隙通道,采用3D打印技术获得了透明精细的裂隙模型,使用微流体控制仪研究了不同试验条件下的裂隙渗流扩散运动,分析了裂隙通道流量与压力水头、裂隙宽度和分形维数之间的关系。研究结果表明:与平行板立方定律近似,在分形裂隙中,裂隙通道流量与压力水头成线性关系;单宽流量与裂隙通道的宽度成近似的三次方关系;考虑分形维数影响时,相同条件下流过裂隙通道的流量随着分形维数的增加而增加;粗糙裂隙渗流立方定律可采用与分形维数相关的幂指数函数进行修正。 相似文献
99.
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
100.
为清晰了解国内外无人机遥感应用研究现状及发展态势,以Web of Science核心期刊为数据源,运用文献计量方法与Citespace可视化分析工具对无人机遥感研究的相关文献进行统计分析。结果表明:无人机遥感相关研究文献呈快速增长趋势,与遥感科学、工程学和影像科学摄影技术三门学科联系最为密切;美国、中国、西班牙等国家发文量较多,具备较强研究力量;中国科学院发文量最多,而西班牙最高科研理事会h指数最高,均有较大影响力;澳大利亚学者Lucieer A和西班牙学者Zarco-Tejada PJ的h指数较高,为该领域的代表性学者;无人机遥感技术包含多个研究方向,其中研究热点包括无人机遥感在农业科学和生态学等领域的应用研究、遥感影像分类方法的研究、摄影技术和计算机视觉技术的研究等三方面。 相似文献