A critical evaluation of measurement induced variability in infiltration characteristics for a river sub-catchment

Ghosh, Biplab; Pekkat, Sreeja

doi:10.1016/j.measurement.2018.09.018

Cited by 20 publications

(16 citation statements)

References 48 publications

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“…To the best of our knowledge, this is the first study that compared measurements results between MDI, DRI, and DHI. Over time, conducting similar comparisons in different locations and conditions will enable to derive a general relationship between method results, similar to what was reported by Ghosh and Pekkat [16] for comparison of MDI and DRI results. The presented findings should be considered in the development of UD models and especially in the design of infiltration-based SCMs in urban catchments.…”

supporting

confidence: 61%

“…The most comparable results for K s were obtained with MDI and DRI, with factor of difference of 2.7. Ghosh and Pekkat [16] reported that hydraulic conductivity determined by MDI were approximately 0.5 to 0.67 of DRI values. When comparing K obtained with MDI to K s obtained with DRI similar ratios were observed in this study (Table 2).…”

Section: Comparison Of the Results Of Applied Measurement Techniquesmentioning

confidence: 95%

“…Double ring infiltrometer (DRI) is a well-known and reliable field method for measuring K s . However, it is time consuming, unsuitable for sloped terrains and demands relatively large quantities of water to undertake the test, which presents a limitation for areas with limited access to water [16]. To overcome these issues an automated dual head infiltrometer (DHI) was developed, which uses less water than DRI and enables the operator to run multiple tests at the same time.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Spatial and Temporal Variability of Soil Hydraulic Conductivity for Urban Runoff Modelling

Radinja

Vidmar

Atanasova

et al. 2019

Water

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Soil hydraulic conductivity has a direct influence on infiltration rate, which is of great importance for modelling and design of surface runoff and stormwater control measures. In this study, three measuring techniques for determination of soil hydraulic conductivity were compared in an urban catchment in Ljubljana, Slovenia. Double ring (DRI) and dual head infiltrometer (DHI) were applied to measure saturated hydraulic conductivity (Ks) and mini disk infiltrometer (MDI) was applied to measure unsaturated hydraulic conductivity (K), which was recalculated in Ks in order to compare the results. Results showed significant differences between investigated techniques, namely DHI showed 6.8 times higher values of Ks in comparison to DRI. On the other hand, Ks values obtained by MDI and DRI exhibited the lowest difference. MDI measurements in 12 locations of the small plot pointed to the spatial variability of K ranging between 73%–89% as well as to temporal variability within a single location of 27%–99%. Additionally, a reduction of K caused by the effect of drought-induced water repellency was observed. Moreover, results indicate that hydrological models could be enhanced using different scenarios by employing a range of K values based on soil conditions.

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supporting

confidence: 61%

Section: Comparison Of the Results Of Applied Measurement Techniquesmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

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Determination of Spatial and Temporal Variability of Soil Hydraulic Conductivity for Urban Runoff Modelling

Radinja

Vidmar

Atanasova

et al. 2019

Water

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“…Therefore, there is a need to simplify these relations in order to apply infiltration models as valuable tools to save time and to avoid costs for field measurements. Physically based infiltration models such as Green-Ampt, Philips or Smith Parlange [32][33][34][35], semi-empirical models such as Horton [32,36,37], or empirical models such as Kostiakov or Holtan [32,38,39] are commonly used. The selection of the most appropriate model depends on the data collected and the quality of fitting required.…”

Section: Introductionmentioning

confidence: 99%

Changes in Water Infiltration after Simulated Wetting and Drying Periods in two Biochar Amendments

Villagra-Mendoza

Horn

2019

Soil Systems

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Biochar impacts soil-water related processes such as infiltration and contributes to the hydrological response of catchments. The aim of this work is to determine the impact of wetting and drying conditions on the infiltration behavior of two biochar amendments and to validate the performance of three infiltration models: Kostiakov, Horton, and Philips. Two materials, sand and a sandy loam, were mixed with 0%, 2.5%, and 5% (by dry wt.) mango wood biochar produced at a highest heating rate of 600 °C and with a particle size of <63 μm. A sequence of four wetting and drying cycles were simulated. In each cycle, infiltration was measured. We found that biochar addition decreased infiltration because the formation of narrower pores reduced infiltration capacity. The higher the biochar dosage, the more resilient the treatment became concerning the changes on the water infiltrated. Repetitive wetting and drying cycles resulted in a reconfiguration of structural pores affecting the transport of water and air. The infiltration models of Kostiakov and Horton could predict the infiltration dynamics in the amended materials, although they show some instabilities along the WD cycles.

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“…In the past, several infiltration-based studies have been carried out worldwide. These studies have focused on the aspects such as spatial variability of soil infiltration behavior, laboratory-based experiments, field experiments with different experimental conditions, and performance evaluation of different infiltration models [11][12][13][14][15][16][17][18][19][20][21][22] .…”

mentioning

confidence: 99%

Assessing Variability of Infiltration Characteristics and Reliability of Infiltration Models in a Tropical Sub-humid Region of India

Mahapatra

Jha

Biswal

et al. 2020

Sci Rep

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Infiltration process, which plays a paramount role in irrigation and drainage systems design, groundwater recharge and contamination evaluation, flood and drought management etc. is often controlled by several factors, among which land use/land cover (LULC) and soil physical properties are the prime factors. These factors lead to significant spatial variability of infiltration process, which poses a serious challenge for hydrologists and water managers. However, studies analyzing spatial variability and influence of both LULC and soil physical properties are scarce. To this end, grid-based infiltration experiments were carried out in a tropical sub-humid region of India to investigate spatial variability of infiltration characteristics, saturated hydraulic conductivity (K sat) as well as to evaluate reliability of seven infiltration models in predicting infiltration behaviour and estimating K sat. Additionally, uncertainty analysis was performed to quantify uncertainties associated with estimated K sat for different LULC and soils. Results indicated that quasi-steady infiltration rate over the study area vary considerably with a majority of the area falling under 'low' and 'medium' infiltration categories. The infiltration process is greatly influenced by macro-pores and relatively low-permeable layers present at varying depths, typical features of lateritic vadose zones in tropical sub-humid regions, rather than its sole dependence on texture and LULC. Further, the Brutsaert model estimates K sat with the highest accuracy and least uncertainty followed by Swartzendruber and Horton models. Except the Brutsaert model, other models are sensitive to a particular LULC. Overall, it is inferred that the Brutsaert and Swartzendruber models are robust and more reliable in predicting infiltration behavior and K sat for the area. Findings of this study including quantification of spatial variability of important soil properties are useful for understanding detailed hydrological processes in the region and thereby, ensuring better planning and management of recurring floods and drought problems of the region.

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A critical evaluation of measurement induced variability in infiltration characteristics for a river sub-catchment

Cited by 20 publications

References 48 publications

Determination of Spatial and Temporal Variability of Soil Hydraulic Conductivity for Urban Runoff Modelling

Determination of Spatial and Temporal Variability of Soil Hydraulic Conductivity for Urban Runoff Modelling

Changes in Water Infiltration after Simulated Wetting and Drying Periods in two Biochar Amendments

Assessing Variability of Infiltration Characteristics and Reliability of Infiltration Models in a Tropical Sub-humid Region of India

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