An investigation into the relationship between saturated permeability and microstructure of remolded loess: A case study from Chinese Loess Plateau

Xu, Panpan; Zhang, Qiying; Qian, Hui; Li, Mengna; Yang, Faxuan

doi:10.1016/j.geoderma.2020.114774

Cited by 75 publications

(32 citation statements)

References 81 publications

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“…The SEM images were taken using JEOL scanning electron microscopic JSM-7610F and processed using Particles (Pores) and Cracks Analysis (PCAS) System. The PCAS software makes objects counting, classification, and measurement easier toward characterising the pore structure morphology, inter-particle connection, pore distribution and directionality, and structural complexity ( Xu et al., 2021c ). Mercury intrusion porosimetry (MIP) tests applied to analyze pore distribution were performed toward comparing the pore size diameter before and after seepage (see Figure S1 F).…”

Section: Methodsmentioning

confidence: 99%

“…Among the inorganic contaminants, chemical contaminant-induced accident is becoming more and more frequent and threatens seriously human health ( Anae et al., 2021 ; Silva et al., 2021 ; Zhang et al., 2021 ). Loess soil originated in the deserts of the north ( Smalley et al., 2014 ) and then distributed across NW China is featured with metastable microstructure ( Assallay et al., 1997 ; Wen and Yan, 2014 ; Xu et al., 2018 , 2021c ; Shao et al., 2018 ; Wei et al., 2020 ). The cement, formed by a fibrous calcite scaffold with a clay cover, between silt particles provides a sufficient shear strength under dry conditions despite the majority of loess soil having void ratios ranging from 0.9 to 1 ( Smalley and Marković, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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Effect of seepage conditions on the microstructural evolution of loess across north-west China

Wang

Cheng

et al. 2022

iScience

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of seepage conditions on the microstructural evolution of loess across north-west China

Wang

Cheng

et al. 2022

iScience

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“…PCA is a multivariate statistical technique commonly used as a dimensionality reduction approach (Dutta et al 2018;Xu et al 2021). PCA extracts eigenvalues and eigenvectors from the covariance matrix of the originally correlated variables (Singh et al 2004).…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

Groundwater quality assessment using geospatial and statistical approaches over Faridabad and Gurgaon districts of National Capital Region, India

2022

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This study presents an assessment of groundwater quality over the two constituent districts (Faridabad and Gurgaon) of the National Capital Region (NCR), India, using geospatial and statistical approaches. These districts have been subjected to rapid urbanization and industrialization in recent years. The groundwater quality parameters viz., pH, electrical conductivity (EC), carbonate (CO32−), bicarbonate (HCO3−), chloride (Cl−), sulphate (SO42−), nitrate (NO3−), fluoride (F−), calcium (Ca2+), magnesium (Mg2+), sodium (Na+), potassium (K+), silica (SiO2), and total hardness (TH) are obtained for the year of 2017 from 28 sites over the study area. The suitability for human drinking purposes is assessed by comparing the concentration of parameters at each site with respect to their permissible limits recommended by the Bureau of Indian Standards (IS 10500: 2012). The geospatial mapping of the water quality parameters is carried out to visualize their variations, whereas their risk assessment is accomplished by the statistical approaches viz., water quality index (WQI), correlation, and principal component analysis (PCA). The number of sites exceeding the permissible limits of pH, EC, Cl−, SO42−, NO3−, F−, Ca2+, Mg2+, Na+, K+, and TH is obtained to be 7, 15, 5, 6, 8, 3, 5, 7, 18, 3, and 8, respectively. The WQI analysis revealed 10 out of the 28 sites to be unsuitable for drinking purposes. The parameters mostly exhibited positive correlations except for pH that showed a negative correlation with other parameters. The results of PCA revealed the first principal component (PC1) to explain more than 95% of the total variance, thereby significantly reducing the dimensionality. The deteriorated water quality may be mainly attributed to anthropogenic activities, i.e., reckless industrial growth, population explosion, and rapid urbanization. This study emphasizes the need for regular water quality monitoring, and the information reported will certainly help for water resources planning and management, especially over the industrial regions of NCR, India.

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“…Laboratory determination of saturated, K s , or near‐saturated, K , hydraulic conductivity of sieved and repacked soil samples establishes a link between the studies that make use of purely ideal data, such as those generated numerically or analytically, and the laboratory or field investigations on real and nearly undisturbed soils. Repacked soil samples have been used, and continue to be used, for a wide variety of scientific purposes that include, as examples, testing theories, devices and procedures for determining K s (Concialdi et al, 2020; Reynolds & Elrick, 1987), studying factors influencing the K s values of specific soil types (Moutier et al, 1998), establishing wastewater reuse effects on K s (Viviani & Iovino, 2004), testing the effect of amendment addition on K s (Castellini et al, 2015), relating K s or K to the bulk soil physical properties (Assouline, 2006), testing the impact of soil seal development on K (Armenise et al, 2018), establishing dependence of K on initial compaction (Ghosh & Pekkat, 2019), and determining soil microstructure (Xu et al, 2021) and rock fragments (Wu et al, 2021) effects on K s . Therefore, laboratory investigations on repacked soil samples may be expected to improve knowledge of soil‐water relationships and processes and hence they go in the direction of better establishing the complex role of the soil in different agricultural and hydrological contexts.…”

Section: Introductionmentioning

confidence: 99%

Soil reuse effects on determination of saturated hydraulic conductivity of different loamy soils

Bagarello,

Caltabellotta,

Iovino

2024

European J Soil Science

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Laboratory measurement of saturated hydraulic conductivity, Ks, of sieved and packed soil is important for many scientific purposes. A given soil mass can be used once or several times. Little is known of the dependence of the Ks data on the reuse of the same soil mass. For three loamy soils, this investigation tested reuse effects of exactly the same soil mass on determination of Ks with the simplified falling head technique. For a given soil, the Ks values of 15 repacked soil samples were determined by using the same soil for a total of eight times. The means of Ks, initially equal to 45–159 mm/h, depending on the soil, decreased by nearly two or three times with the reuse of the same material, and they settled on values of 23–59 mm/h by the end of the experiment. Low, stable and little variable (coefficients of variation ≤15%) Ks values were obtained after the soil was used three to five times although there was some sign that stabilization of Ks could also require more reuses. The soil became finer with more reuses and the textural characteristics of the undispersed soil explained a large amount of the mean Ks results (coefficient of determination between means of Ks and the mean weight diameter = 0.65–0.76, depending on the soil). Taking into account that the best procedure for determination of Ks of sieved and packed soil samples yields the lowest variability of the individual Ks data, the conclusion was that a soil pre‐treatment including several wetting and drying cycles should be realized to obtain a soil mass usable repeatedly. The history of the used soil mass should be reported in the investigations dealing with sieved and repacked soil samples.

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An investigation into the relationship between saturated permeability and microstructure of remolded loess: A case study from Chinese Loess Plateau

Cited by 75 publications

References 81 publications

Effect of seepage conditions on the microstructural evolution of loess across north-west China

Effect of seepage conditions on the microstructural evolution of loess across north-west China

Groundwater quality assessment using geospatial and statistical approaches over Faridabad and Gurgaon districts of National Capital Region, India

Soil reuse effects on determination of saturated hydraulic conductivity of different loamy soils

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