Estimating Hydraulic Conductivity Fields in Composite Fan Delta Using Vertical Electrical Sounding

Hydraulic conductivity (K) is crucial for groundwater studies and is conventionally obtained through pumping tests, which are costly due to well installation, resulting in a limited amount of data. Recent studies have addressed this limitation by estimating K through the integration of a pumping-tes...

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Veröffentlicht in:Water (Basel) 2018-11, Vol.10 (11), p.1620
Hauptverfasser: Chen, You-Cheng, Tsai, Jui-Pin, Chang, Liang-Cheng, Chang, Ping-Yu, Lin, Helen
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container_issue 11
container_start_page 1620
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creator Chen, You-Cheng
Tsai, Jui-Pin
Chang, Liang-Cheng
Chang, Ping-Yu
Lin, Helen
description Hydraulic conductivity (K) is crucial for groundwater studies and is conventionally obtained through pumping tests, which are costly due to well installation, resulting in a limited amount of data. Recent studies have addressed this limitation by estimating K through the integration of a pumping-test K and electrical resistivity measurements. While this approach is suitable for local areas, it cannot readily be applied to determine K fields for the composite fan delta. This study proposes and demonstrates an advanced method to estimate the K’s spatial distribution of a composite fan delta. The proposed method included data classification, linear regression, and kriging interpolation. Data classification was conducted using a physical-based zonation method. The K and formation factor (F) data pairs were classified into several groups. Linear regression was used to develop K-F mapping for each group. The regression results showed a good correlation between K and F in each group. These K-F mappings were verified by additional pumping tests. These results indicate that estimation errors were between 7 m/day and 58 m/day, and the correlation coefficient of each data group was greater than 0.8. Based on these regression equations and ordinary kriging method, the detailed K spatial distribution of the study area was derived. According to these results, the proposed method is efficient and economical to delineate K’s spatial features for regional groundwater systems and can benefit groundwater-related studies.
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Recent studies have addressed this limitation by estimating K through the integration of a pumping-test K and electrical resistivity measurements. While this approach is suitable for local areas, it cannot readily be applied to determine K fields for the composite fan delta. This study proposes and demonstrates an advanced method to estimate the K’s spatial distribution of a composite fan delta. The proposed method included data classification, linear regression, and kriging interpolation. Data classification was conducted using a physical-based zonation method. The K and formation factor (F) data pairs were classified into several groups. Linear regression was used to develop K-F mapping for each group. The regression results showed a good correlation between K and F in each group. These K-F mappings were verified by additional pumping tests. These results indicate that estimation errors were between 7 m/day and 58 m/day, and the correlation coefficient of each data group was greater than 0.8. Based on these regression equations and ordinary kriging method, the detailed K spatial distribution of the study area was derived. According to these results, the proposed method is efficient and economical to delineate K’s spatial features for regional groundwater systems and can benefit groundwater-related studies.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w10111620</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Aquifers ; Classification ; Correlation coefficient ; Correlation coefficients ; Electrical resistivity ; Geology ; Groundwater ; Groundwater studies ; Hydraulics ; Hydrogeology ; Kriging interpolation ; Pumping ; Pumping tests ; Regional development ; Rivers ; Sediments ; Spatial distribution ; Water, Underground ; Zonation</subject><ispartof>Water (Basel), 2018-11, Vol.10 (11), p.1620</ispartof><rights>COPYRIGHT 2018 MDPI AG</rights><rights>2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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Recent studies have addressed this limitation by estimating K through the integration of a pumping-test K and electrical resistivity measurements. While this approach is suitable for local areas, it cannot readily be applied to determine K fields for the composite fan delta. This study proposes and demonstrates an advanced method to estimate the K’s spatial distribution of a composite fan delta. The proposed method included data classification, linear regression, and kriging interpolation. Data classification was conducted using a physical-based zonation method. The K and formation factor (F) data pairs were classified into several groups. Linear regression was used to develop K-F mapping for each group. The regression results showed a good correlation between K and F in each group. These K-F mappings were verified by additional pumping tests. These results indicate that estimation errors were between 7 m/day and 58 m/day, and the correlation coefficient of each data group was greater than 0.8. Based on these regression equations and ordinary kriging method, the detailed K spatial distribution of the study area was derived. According to these results, the proposed method is efficient and economical to delineate K’s spatial features for regional groundwater systems and can benefit groundwater-related studies.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w10111620</doi><oa>free_for_read</oa></addata></record>
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subjects Aquifers
Classification
Correlation coefficient
Correlation coefficients
Electrical resistivity
Geology
Groundwater
Groundwater studies
Hydraulics
Hydrogeology
Kriging interpolation
Pumping
Pumping tests
Regional development
Rivers
Sediments
Spatial distribution
Water, Underground
Zonation
title Estimating Hydraulic Conductivity Fields in Composite Fan Delta Using Vertical Electrical Sounding
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