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  4. Estimating hydraulic conductivity fields in composite fan delta using vertical electrical sounding
 
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Estimating hydraulic conductivity fields in composite fan delta using vertical electrical sounding

Journal
Water
Journal Volume
10
Journal Issue
11
Date Issued
2018
Author(s)
JUI-PIN TSAI  
Chen Y.-C.
Tsai J.-P.
Chang L.-C.
Chang P.-Y.
Lin H.
DOI
10.3390/w10111620
URI
https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85056228244&doi=10.3390%2fw10111620&partnerID=40&md5=5c1d243399883ac2746f9a79a1a38ab8
https://scholars.lib.ntu.edu.tw/handle/123456789/424545
URL
https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85056228244&doi=10.3390%2fw10111620&partnerID=40&md5=5c1d243399883ac2746f9a79a1a38ab8
Abstract
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. ? 2018 by the authors.
Subjects
Aquifer parameter
Data classification
Formation factor
Hydraulic conductivity
Hydrogeophysics
Vertical electrical sounding
Type
journal article
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water-10-01620 (3).pdf

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