Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic Curve
Soil-water characteristic curves (SWCCs) are important in terms of groundwater recharge, agriculture, and soil chemistry. These relationships are also of considerable value in geotechnical and geoenvironmental engineering. Their measurement, however, is difficult, expensive, and time-consuming. Many...
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doaj-3dcfa8dab0fc43d5bcd2a9afd9867bf92020-11-25T01:57:48ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/569851569851Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic CurveSiti Jahara Matlan0Muhammad Mukhlisin1Mohd Raihan Taha2Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaDepartment of Civil and Structural Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaDepartment of Civil and Structural Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaSoil-water characteristic curves (SWCCs) are important in terms of groundwater recharge, agriculture, and soil chemistry. These relationships are also of considerable value in geotechnical and geoenvironmental engineering. Their measurement, however, is difficult, expensive, and time-consuming. Many empirical models have been developed to describe the SWCC. Statistical assessment of soil-water characteristic curve models found that exponential-based model equations were the most difficult to fit and generally provided the poorest fit to the soil-water characteristic data. In this paper, an exponential-based model is devised to describe the SWCC. The modified equation is similar to those previously reported by Gardner (1956) but includes exponential variable. Verification was performed with 24 independent data sets for a wide range of soil textures. Prediction results were compared with the most widely used models to assess the model’s performance. It was proven that the exponential-based equation of the modified model provided greater flexibility and a better fit to data on various types of soil.http://dx.doi.org/10.1155/2014/569851 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Siti Jahara Matlan Muhammad Mukhlisin Mohd Raihan Taha |
spellingShingle |
Siti Jahara Matlan Muhammad Mukhlisin Mohd Raihan Taha Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic Curve The Scientific World Journal |
author_facet |
Siti Jahara Matlan Muhammad Mukhlisin Mohd Raihan Taha |
author_sort |
Siti Jahara Matlan |
title |
Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic Curve |
title_short |
Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic Curve |
title_full |
Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic Curve |
title_fullStr |
Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic Curve |
title_full_unstemmed |
Performance Evaluation of Four-Parameter Models of the Soil-Water Characteristic Curve |
title_sort |
performance evaluation of four-parameter models of the soil-water characteristic curve |
publisher |
Hindawi Limited |
series |
The Scientific World Journal |
issn |
2356-6140 1537-744X |
publishDate |
2014-01-01 |
description |
Soil-water characteristic curves (SWCCs) are important in terms of groundwater recharge, agriculture, and soil chemistry. These relationships are also of considerable value in geotechnical and geoenvironmental engineering. Their measurement, however, is difficult, expensive, and time-consuming. Many empirical models have been developed to describe the SWCC. Statistical assessment of soil-water characteristic curve models found that exponential-based model equations were the most difficult to fit and generally provided the poorest fit to the soil-water characteristic data. In this paper, an exponential-based model is devised to describe the SWCC. The modified equation is similar to those previously reported by Gardner (1956) but includes exponential variable. Verification was performed with 24 independent data sets for a wide range of soil textures. Prediction results were compared with the most widely used models to assess the model’s performance. It was proven that the exponential-based equation of the modified model provided greater flexibility and a better fit to data on various types of soil. |
url |
http://dx.doi.org/10.1155/2014/569851 |
work_keys_str_mv |
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