Estimation of Unsaturated Flow Parameters Using GPR Tomography and Groundwater Table Data

2008 ◽  
Vol 7 (4) ◽  
pp. 1239-1252 ◽  
Author(s):  
M. Bagher Farmani ◽  
Nils-Otto Kitterød ◽  
Henk Keers
Keyword(s):  
Unsaturated Flow ◽  
Groundwater Table ◽  
Flow Parameters ◽  
Table Data

Impacts of different types of measurements on estimating unsaturated flow parameters

2015 ◽  
Vol 524 ◽  
pp. 549-561 ◽  
Author(s):  
Liangsheng Shi ◽  
Xuehang Song ◽  
Juxiu Tong ◽  
Yan Zhu ◽  
Qiuru Zhang
Keyword(s):  
Unsaturated Flow ◽  
Flow Parameters ◽  
Different Types

Unsaturated flow parameters of municipal solid waste

2017 ◽  
Vol 63 ◽  
pp. 107-121 ◽  
Author(s):  
Shi-Jin Feng ◽  
Qi-Teng Zheng ◽  
H.X. Chen
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Unsaturated Flow ◽  
Flow Parameters

To Classify the Groundwater Hydrographs by Factor Analysis Method

2012 ◽  
Vol 518-523 ◽  
pp. 4097-4103
Author(s):  
Hwa Sheng Gau ◽  
Chung Yi Chung ◽  
Shao Wei Liao ◽  
Wen Liang Lai
Keyword(s):  
Factor Analysis ◽  
Water Table ◽  
Unconfined Aquifer ◽  
Groundwater Table ◽  
Total Variance ◽  
Analysis Method ◽  
Pingtung Plain ◽  
Table Data ◽  
Three Components

This study is using Factor Analysis method to analyze the hydrographs of groundwater table for classification of recharge zone. The water table data are taken from 37 wells which located on unconfined aquifer in Pingtung plain. The result shows that 93% of total variance can be explained by three components. The 1th component is related to rainfall; the 2th and 3th are related to recharge from TungKang Basin and Kaoping basin, respectively.

scholarly journals An improved Kalman filtering approach for the estimation of unsaturated flow parameters by assimilating photographic imaging data

2020 ◽  
Vol 590 ◽  
pp. 125373
Author(s):  
Mohammad Mahdi Rajabi ◽  
Benjamin Belfort ◽  
François Lehmann ◽  
Sylvain Weill ◽  
Behzad Ataie-Ashtiani ◽  
...  
Keyword(s):  
Kalman Filtering ◽  
Unsaturated Flow ◽  
Imaging Data ◽  
Flow Parameters ◽  
Filtering Approach

scholarly journals Comparison of numerical modeling results from laboratory and field obtained unsaturated flow parameters

2021 ◽  
Vol 337 ◽  
pp. 02008
Author(s):  
Asif Ahmed ◽  
Md Jobair Bin Alam ◽  
Md Azijul Islam ◽  
MD Sahadat Hossain
Keyword(s):  
Numerical Modeling ◽  
Unsaturated Soils ◽  
Unsaturated Flow ◽  
Rainfall Event ◽  
Flow Parameters ◽  
Dynamic Scenario ◽  
Predicted Model ◽  
Soil Information ◽  
Precipitation Events ◽  
Selection Of

Moisture and suction variation beneath pavement contribute significantly to the volumetric deformation of expansive subgrade in response to climatic loading. In order to quantify the damage due to climatic loading, estimation of moisture, and suction variation in pavement subgrade is of paramount importance. The objective of the current study is to investigate the moisture and suction variation in response to precipitation events with the aid of numerical modeling in the unsaturated pavement subgrade. In unsaturated soils where the voids are filled with both water and air, the SWCC describes the volume of the voids that remain filled with water as the soil drains pore water. The SWCC has been identified as the vital soil information required to analyze seepage, stability, and volume change problems involved in unsaturated soils. However, the selection of unsaturated flow parameters is typically laboratory-based which represents specific conditions rather than a dynamic scenario of the field. In this study, an attempt was undertaken to conduct numerical modeling using field generated unsaturated flow parameters along with five other predictive models. Results indicated the distinct variation of moisture and suction distribution in subgrade from the same rainfall event while using laboratory versus field generated SWCC unsaturated flow parameters. In addition, predicted model yielded output was also varying with the field generated parameters’ output. Instead of using laboratory-generated static parameters, it was found that field generated dynamic unsaturated flow parameters were able to capture better suction variation at the pavement subgrade.

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