根深蒂固
发表于 2025-3-21 18:38:30
书目名称geoENV I — Geostatistics for Environmental Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0391536<br><br> <br><br>书目名称geoENV I — Geostatistics for Environmental Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0391536<br><br> <br><br>
acolyte
发表于 2025-3-22 00:00:58
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hair-bulb
发表于 2025-3-22 02:52:18
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ANTH
发表于 2025-3-22 05:06:24
On the Application of Stochastic Inverse Modelling to the Fractured Semi-Confined Aquifer of Bagueixnd piezometric heads of a semi-confined fractured aquifer located in the North-eastern region of Portugal, based on the methodology presented in Rubin et al. (1990), for the Rio Maior aquifer, in Portugal, and in the study published by Lobo-Ferreira and Leitão (1991) for the Bagueixe aquifer.
MIR
发表于 2025-3-22 09:45:19
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Albinism
发表于 2025-3-22 15:10:47
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Albinism
发表于 2025-3-22 18:21:08
The Use of Conservative Mass Transport Analysis as a Quick Look Tool to Rank Geostatistical Realizatking stochastic images. Two conservative mass transport algorithms are considered, one based on a semi analytical technique (Pollock, 1988) used in the standard MODPATH (Pollock, 1994) software and the other one based on a node to node tracking algorithm (Desbarats, 1990). The tool is tested in a 3D
debble
发表于 2025-3-22 23:20:41
Simplified Renormalization: A New Quick Upscaling Techniquere reliable than the standard renormalization, the Kruel-Romeu formula and the algebraic means, for the two high anisotropy ratios, for the two different block sizes and for the two geostatistical models we have tested. The comparison of the execution time for the different techniques leads us to re
ORBIT
发表于 2025-3-23 02:25:43
Impact of Random Function Choice on Groundwater Mass Transport Modellingare decided upon after analysing measured data and other relevant information. Decisions on whether the RF is multiGaussian or not, stationary or not, multimodal or not, must be taken. We analyse the impact that some of these decisions may have in modelling groundwater flow in the Culebra dolomite f
异教徒
发表于 2025-3-23 07:30:55
Mapping Spatial and Temporal Variation of Groundwater Quality in the Netherlands in this pattern. The spatial pattern is revealed by creating statistical maps of groundwater quality in the Netherlands, using measurements from available groundwater quality monitoring networks and maps of soil type and land use. Within soil-land use categories we adopted a model for spatial depen