Effective porosity of paddy soils as an estimation of its saturated hydraulic conductivity

Wayayok, Aimrun; Amin, M. S. M.; Eltaib, S. M.

doi:10.1016/j.geoderma.2003.11.010

Cited by 72 publications

(42 citation statements)

References 11 publications

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“…The attribute score of agricultural land was supposed to be high, because the land surfaces of the agriculture lands are covered by water during the cultivation period, which results in continuous infiltration. However, the hardpan layer located 20-40 cm under the surface of the paddy fields reduces soil leakage and makes it difficult for water to infiltrate into the aquifer [27][28][29][30]. Therefore, the contribution of agriculture land to the groundwater recharge is moderate, and the estimated attribute score is reasonable.…”

Section: Calibration Results For the Rpamentioning

confidence: 99%

High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes

Tsai

Chen

Chang

et al. 2015

Entropy

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High recharge areas significantly influence the groundwater quality and quantity in regional groundwater systems. Many studies have applied recharge potential analysis (RPA) to estimate groundwater recharge potential (GRP) and have delineated high recharge areas based on the estimated GRP. However, most of these studies define the RPA parameters with supposition, and this represents a major source of uncertainty for applying RPA. To objectively define the RPA parameter values without supposition, this study proposes a systematic method based on the theory of parameter identification. A surrogate variable, namely the average storage variation (ASV) index, is developed to calibrate the RPA parameters, because of the lack of direct GRP observations. The study results show that the correlations between the ASV indexes and computed GRP values improved from 0.67 before calibration to 0.85 after calibration, thus indicating that the calibrated RPA parameters represent the recharge characteristics of the study area well; these data also highlight how defining the RPA parameters with ASV indexes can help to improve the accuracy. The calibrated RPA parameters were used to estimate the GRP distribution of the study area, and the GRP values were graded into five levels. High and excellent level areas are defined as high recharge areas, which composed 7.92% of the study area.Entropy 2015, 17 1559Overall, this study demonstrates that the developed approach can objectively define the RPA parameters and high recharge areas of the Choushui River alluvial fan, and the results should serve as valuable references for the Taiwanese government in their efforts to conserve the groundwater quality and quantity of the study area.

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Section: Calibration Results For the Rpamentioning

confidence: 99%

High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes

Tsai

Chen

Chang

et al. 2015

Entropy

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“…It is indispensable in the assessment of the processes of infiltration, irrigation and drainage (Aimrun et al, 2004). K s is one of the most sensitive input parameters for distributed hydrological models (Wang et al, 2013b).…”

Section: Introductionmentioning

confidence: 99%

Using pedotransfer functions to estimate soil hydraulic conductivity in the Loess Plateau of China

Zhao

Shao

Jia

et al. 2016

CATENA

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Soil hydraulic conductivity (K s ) is a crucial soil physical property that not only influences soil hydrological processes, but also the planning for vegetation recovery, irrigation practice and drainage design. However, K s data are often lacking at large-scale soil database due to difficulties in direct measurement that is often labour intensive, time consuming and cost inefficient. The objective of this study was to compare the performance of different emerging methods [Multiple linear regression (MLR) and artificial neural network (ANN)] of K s prediction. The pedotransfer function (PTF) is one such method that is based on selected factors closely correlated with K s at regional scale. We collected disturbed and undisturbed soil samples in the 0-40 cm soil layer at 243 sites across the entire typical Loess Plateau of China (430,000 km 2 ) and then measured K s and the potentially related factors. The results showed that K s was normally distributed with moderate a spatial variation (CV = 67%). Correlation analysis indicated that bulk density (BD), saturated soil water content (SSWC), clay content (Clay), silt content (Silt) and latitude were closely correlated (p b 0.05) with K s . Although the accuracies of MLR and ANN were equal in terms of estimating K s , the stability of PTF developed via ANN was not as good as that of MLR. Thus PTF developed via MLR, which included BD, Silt and Clay, was considered as the best model for estimating K s . There is a need to closely monitor the stability and repeatability of PTF during comparison and determination of PTF.

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“…However, Carman (1939) expected that t would only have a narrow range of values. The relationship between soil porosity and hydraulic conductivity is often described by an empirical power law (Ahuja et al, 1989;Aminrun et al, 2004;Green et al, 2003):…”

Section: Introductionmentioning

confidence: 99%

“…Ahuja et al (1989) recommend À33 kPa whereas Aminrun et al (2004) suggest that a more negative value of À66 kPa may work better for soil with higher clay content. Han et al (2008) estimated f e from the point of inflexion of the water retention curve, which was determined from a fit of the Van Genuchten function (van Genuchten, 1980).…”

Section: Introductionmentioning

confidence: 99%

The effect of compaction and shear deformation of saturated soil on hydraulic conductivity

Whalley

Matthews

Ferraris

2012

Soil and Tillage Research

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Effective porosity of paddy soils as an estimation of its saturated hydraulic conductivity

Cited by 72 publications

References 11 publications

High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes

High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes

Using pedotransfer functions to estimate soil hydraulic conductivity in the Loess Plateau of China

The effect of compaction and shear deformation of saturated soil on hydraulic conductivity

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