SWCC from grain size distribution curve
Although soil-water characteristic curve (SWCC) is of great importance in present day agricultural, soil science, geotechnical and geo-environmental engineering, it is not a readily available soil property. The main reason is that its measurement is expensive, time consuming and labour intensive. Th...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/10356/14723 |
| _version_ | 1826124294182141952 |
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| author | Lin, Alvin Yihui. |
| author2 | Leong, Eng Choon |
| author_facet | Leong, Eng Choon Lin, Alvin Yihui. |
| author_sort | Lin, Alvin Yihui. |
| collection | NTU |
| description | Although soil-water characteristic curve (SWCC) is of great importance in present day agricultural, soil science, geotechnical and geo-environmental engineering, it is not a readily available soil property. The main reason is that its measurement is expensive, time consuming and labour intensive. Therefore, models have been developed to predict the SWCC from more easily measurable and more readily available soil properties like particle-size distribution, organic matter content and dry density. These models are referred to as pedotransfer functions. The objective of the project is to evaluate pedotransfer functions for determining SWCC from grain size distribution curve using a database of grain size distribution curves and SWCCs. Two widely used pedotransfer functions, Gupta and Larson (1979) and Rawls et al. (1982), for estimating the SWCCs are evaluated and modified.
There are two major limitations to both the Gupta and Larson (1979) and Rawls et al. (1982) pedotransfer functions. Firstly, both pedotransfer functions are “point regression” pedotransfer functions and intermediate values could only be calculated by linearly interpolating between the appropriate matric suctions. Secondly, both pedotransfer functions can only predict the soil-water content within the range of their respective given matric suctions. Therefore, the aim of this project is to evaluate their general applicability and to modify them accordingly so that they are able to generate the complete SWCC. |
| first_indexed | 2024-10-01T06:17:58Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/14723 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:17:58Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/147232023-03-03T17:09:07Z SWCC from grain size distribution curve Lin, Alvin Yihui. Leong, Eng Choon School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Geotechnical Although soil-water characteristic curve (SWCC) is of great importance in present day agricultural, soil science, geotechnical and geo-environmental engineering, it is not a readily available soil property. The main reason is that its measurement is expensive, time consuming and labour intensive. Therefore, models have been developed to predict the SWCC from more easily measurable and more readily available soil properties like particle-size distribution, organic matter content and dry density. These models are referred to as pedotransfer functions. The objective of the project is to evaluate pedotransfer functions for determining SWCC from grain size distribution curve using a database of grain size distribution curves and SWCCs. Two widely used pedotransfer functions, Gupta and Larson (1979) and Rawls et al. (1982), for estimating the SWCCs are evaluated and modified. There are two major limitations to both the Gupta and Larson (1979) and Rawls et al. (1982) pedotransfer functions. Firstly, both pedotransfer functions are “point regression” pedotransfer functions and intermediate values could only be calculated by linearly interpolating between the appropriate matric suctions. Secondly, both pedotransfer functions can only predict the soil-water content within the range of their respective given matric suctions. Therefore, the aim of this project is to evaluate their general applicability and to modify them accordingly so that they are able to generate the complete SWCC. Bachelor of Engineering (Civil) 2009-01-21T00:57:12Z 2009-01-21T00:57:12Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/14723 en 62 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering::Geotechnical Lin, Alvin Yihui. SWCC from grain size distribution curve |
| title | SWCC from grain size distribution curve |
| title_full | SWCC from grain size distribution curve |
| title_fullStr | SWCC from grain size distribution curve |
| title_full_unstemmed | SWCC from grain size distribution curve |
| title_short | SWCC from grain size distribution curve |
| title_sort | swcc from grain size distribution curve |
| topic | DRNTU::Engineering::Civil engineering::Geotechnical |
| url | http://hdl.handle.net/10356/14723 |
| work_keys_str_mv | AT linalvinyihui swccfromgrainsizedistributioncurve |