Estimation of bulk density of waterlogged soils from basic properties

Patil, N. G.; Chaturvedi, Arun

doi:10.1080/03650340.2010.530254

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…This finding was consistent with the result of ANN reported in other studies (e.g., Motaghian and Mohammadi, 2011;Patil and Chaturvedi, 2012). Patil and Chaturvedi (2012) found that the overall performance of ANN-built PTF was better than that of MLR-built PTF. Compared with MLR, ANN had a high capability for modeling complex problems.…”

Section: Estimation Of Wal Indicessupporting

confidence: 93%

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Spatial distribution of water-active soil layer along the south-north transect in the Loess Plateau of China

et al. 2019

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Soil water is an important composition of water recycle in the soil-plant-atmosphere continuum. However, intense water exchange between soil-plant and soil-atmosphere interfaces only occurs in a certain layer of the soil profile. For deep insight into water active layer (WAL, defined as the soil layer with a coefficient of variation in soil water content >10% in a given time domain) in the Loess Plateau of China, we measured soil water content (SWC) in the 0.0-5.0 m soil profile from 86 sampling sites along an approximately 860-km long south-north transect during the period 2013-2016. Moreover, a dataset contained four climatic factors (mean annual precipitation, mean annual evaporation, annual mean temperature and mean annual dryness index) and five local factors (altitude, slope gradient, land use, clay content and soil organic carbon) of each sampling site was obtained. In this study, three WAL indices (WAL-T (the thickness of WAL), WAL-CV (the mean coefficient of variation in SWC within WAL) and WAL-SWC (the mean SWC within WAL)) were used to evaluate the characteristics of WAL. The results showed that with increasing latitude, WAL-T and WAL-CV increased firstly and then decreased. WAL-SWC showed an opposite distribution pattern along the south-north transect compared with WAL-T and WAL-CV. Average WAL-T of the transect was 2.0 m, suggesting intense soil water exchange in the 0.0-2.0 m soil layer in the study area. Soil water exchange was deeper and more intense in the middle region than in the southern and northern regions, with the values of WAL-CV and WAL-T being 27.3% and 4.3 m in the middle region, respectively. Both climatic (10.1%) and local (4.9%) factors influenced the indices of WAL, with climatic factors having a more dominant effect. Compared with multiple linear regressions, pedotransfer functions (PTFs) from artificial neural network can better estimate the WAL indices. PTFs developed by artificial neural network respectively explained 86%, 81% and 64% of the total variations in WAL-T, WAL-SWC and WAL-CV. Knowledge of WAL is crucial for understanding the regional water budget and evaluating the stable soil water reserve, regional water characteristics and eco-hydrological processes in the Loess Plateau of China.

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Section: Estimation Of Wal Indicessupporting

confidence: 93%

“…MLR is a traditional PTF development method that is widely used in soil studies (Motaghian and Mohammadi, 2011;Patil and Chaturvedi, 2012). ANN can be used to describe the systems without assumed model structure (Motaghian and Mohammadi, 2011).…”

Section: Pedotransfer Function (Ptf) Developmentmentioning

confidence: 99%

Spatial distribution of water-active soil layer along the south-north transect in the Loess Plateau of China

et al. 2019

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“…This implies that soils were permeable, well-aggregated, loose, and rich in organic matter. Patil and Chaturvedi (2012) observed similar outcomes in soil from the M.P. district of Jabalpur.…”

Section: Resultssupporting

confidence: 61%

Characterization of Soil Quality Parameters of Balaghat and Malajkhand Blocks in Balaghat District of Madhya Pradesh, India

Patle¹,

Meena²,

Acharya³

et al. 2023

EEC

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The investigation was carried out at the laboratory of Rajiv Gandhi South Campus, Banaras Hindu University, Barkachha; Mirzapur, during the year 2021-2022. This study’s aim was to examine the different soil quality parameters and Nutrient index of the soil in the mining areas and normally cultivated areas in the Balaghat and Malajkhand blocks in the Balaghat district of Madhya Pradesh. With the help of GPS camera, 75 soil samples were taken from farmer fields in 9 villages at a depth of 0-15 cm. The soil samples from both sites were reported to be neutral to slightly alkaline in nature, with mean values of 7.59 and 7.57 for both mining and normal cultivated area, respectively. Electrical conductivity for both the sites was low with a mean value for mining area and normal cultivated area were 0.34 dSm-1 and 0.42 dSm-1. High levels of organic carbon were found in the soil of both mine and non-mining areas, with mean values of 0.83% and 0.98 %, respectively. For all samples from both areas, the bulk and particle densities were within normal range, in mining area bulk density were observed high as compare to normal cultivated area and were observed to have the maximum pore space and water holding capacity. According to the nutrient index values of soil samples of Balaghat and Malajkhand blocks were found to be “Medium” for Phosphorous (1.80) andPotassium (1.99) and “Low” for Nitrogen (1.09) and Sulphur (1.12).

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Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

397

297

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Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. In this paper, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.

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Estimation of bulk density of waterlogged soils from basic properties

Cited by 9 publications

References 20 publications

Spatial distribution of water-active soil layer along the south-north transect in the Loess Plateau of China

Spatial distribution of water-active soil layer along the south-north transect in the Loess Plateau of China

Characterization of Soil Quality Parameters of Balaghat and Malajkhand Blocks in Balaghat District of Madhya Pradesh, India

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

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