Shiv Prasher - Academia.edu (original) (raw)

Papers by Shiv Prasher

Research paper thumbnail of Application of support vector machine technology for the estimation of crop biophysical parameters using aerial hyperspectral observations

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Research paper thumbnail of Barley Straw Biochar and Compost Affect Heavy Metal Transport in Soil and Uptake by Potatoes Grown under Wastewater Irrigation

Sustainability

Wastewater can supplement freshwater in agriculture; however, it contains toxic heavy metals such... more Wastewater can supplement freshwater in agriculture; however, it contains toxic heavy metals such as cadmium, chromium, and lead that are hazardous to humans and the environment. We investigated the effects of barley straw biochar, green and table waste compost, and their mix on heavy metal transport in soil and uptake by potatoes (Solanum tuberosum L.) irrigated with synthetic wastewater for two years. In both years, amending soil with compost significantly reduced (p ≤ 0.05) cadmium uptake in potato flesh, skin, roots, and stems; zinc uptake in potato skin and roots; and copper uptake in potato flesh due to increased soil cation-exchange capacity, dissolved organic carbon, and soil pH. Co-amending the soil with compost and 3% biochar significantly reduced (p ≤ 0.05) the bioavailability of cadmium, copper, and zinc in the contaminated soil. Relative to the non-amended soils, soil amendment with biochar, compost, and their mix affected neither the transport of chromium, iron, and le...

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Research paper thumbnail of Calibration and validation of the MIKE SHE model in Canagagigue Creek watershed

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Research paper thumbnail of Linkflow, a Water Flow Computer Model for Water Table Management: Part 2. Model Verification

Transactions of the ASAE, 1997

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Research paper thumbnail of Towards the Development of Salt-Tolerant Potato

Potato Biology and Biotechnology, 2007

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Research paper thumbnail of Measuring performance in precision agriculture: CART—A decision tree approach

Agricultural Water Management, 2006

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Research paper thumbnail of Comparing Visible/NIR and MIR Hyperspectrometry for Measuring Soil Physical Properties

2014 ASABE Annual International Meeting, 2014

ABSTRACT Rapid developments in semiconductor technologies has improved the robustness and reduced... more ABSTRACT Rapid developments in semiconductor technologies has improved the robustness and reduced the cost, size and complexity of hyper-spectral instruments, hence, making them suitable for deployment in the field for in situ determination of soil physical and chemical attributes. The goal of this research was to compare two portable, field-deployable hyperspectral sensor systems. The first was a portable mid-infrared (MIR) spectrometer operating between 5,500 and 11,000 nm. The second was a dual spectrometer system operating in both visible (Vis) and near-infrared (NIR) (400 2,200 nm). A large archived set of 282 soil samples (collected on fields from four Canadian provinces) was used to represent an extensive range in soil textures, varying from sand to clay loam soils with a substantial range of soil organic carbon (SOC). Conventional soil analyses were performed on these samples prior to the measurements by both instruments. Wherever needed, the spectral data were transformed into optical density measurements and then pre-treated by mean centering (MC). Both data sets were randomly partitioned into training (70%) and validation (30%) sets. Partial least squares regression (PLSR) was used to develop spectral calibrations for predicting the percentage of sand, clay and SOC. Both Vis-NIR and MIR spectra revealed similar results. However, clay was better predicted using Vis-NIR and sand using MIR spectra. The highest coefficients of determination (R2) were found for sand (0.82) and clay (0.82). The corresponding root mean squared error (RMSE) was 10% and 7%, respectively. The ability to accurately predict SOC was not as well supported for the set of soils used in this experiment with a root mean squared error of approximately 0.4%. The tested methods prove the usefulness of both portable Vis-NIR and MIR spectrometers for predicting soil texture. Neither sensor showed substantially better performance.

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Research paper thumbnail of SPATIALLY CONSTRAINED GEOSPATIAL DATA CLUSTERING FOR MULTILAYER SENSOR-BASED MEASUREMENTS

ISPRS, 2014

One of the most popular approaches to process high-density proximal soil sensing data is to aggre... more One of the most popular approaches to process high-density proximal soil sensing data is to aggregate similar measurements representing unique field conditions. An innovative constraint-based spatial clustering algorithm has been developed. The algorithm seeks to minimize the mean squared error during the interactive grouping of spatially adjacent measurements similar to each other and different from the other parts of the field. After successful implementation of a one soil property scenario, this research was to accommodate multiple layers of soil properties representing the same area under investigation. Six agricultural fields across Nebraska, USA, were chosen to illustrate the algorithm performance. The three layers considered were field elevation and apparent soil electrical conductivity representing both deep and shallow layers of the soil profile. The algorithm was implemented in MATLAB, R2013b. Prior to the process of interactive grouping, geographic coordinates were projected and erroneous data were filtered out. Additional data pre-processing included bringing each data layer to a 20x20 m raster to facilitate multi-layer computations. An interactive grouping starts with a new "nest" search to initiate the first group of measurements that are most different from the rest of the field. This group is grown using a neighbourhood search approach and once growing the group fails to reduce the overall mean squared error, the algorithm seeks to locate a new "nest", which will grow into another group. This process continues until there is no benefit from separating out an additional part of the field. Results of the six-field trial showed that each case generated a reasonable number of groups which corresponded to agronomic knowledge of the fields. The unique feature of this approach is spatial continuity of each group and capability to process multiple data layers. Further development will involve comparison with a more traditional k-means clustering approach and agronomic model calibration using a targeted soil sampling.

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Research paper thumbnail of Assessment of Common Scab-Inducing Pathogen Effects on Potato Underground Organs Via Computed Tomography Scanning

Phytopathology, Oct 1, 2008

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Research paper thumbnail of Identification of Significant Street Tree Inventory Parameters Using Multivariate Statistical Analyses

Arboriculture and Urban Forestry, Mar 1, 2009

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Research paper thumbnail of Branching out with a CT scanner

Trends in Plant Science, Sep 1, 2005

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Research paper thumbnail of Effect of hydrogel based soil amendments on yield and growth of wastewater irrigated potato and spinach grown in a sandy soil

Environmental Technology & Innovation

Abstract Increased food production, required for a growing population, would place additional str... more Abstract Increased food production, required for a growing population, would place additional stress on freshwater resources. Since agriculture is the largest freshwater consumer, supplementation of irrigation water with wastewater could be beneficial. However, wastewater contains contaminants such as heavy metals, which can adversely affect plant growth. Thus, it is necessary to develop techniques to minimize this adverse impact of wastewater irrigation. The objective of this study was to determine the effect of super absorbent polymer (SAP), as well as a mixture of SAP and plantain peel biochar as soil amendments, on growth and yield of wastewater (WW) irrigated potatoes (Solanum tuberosum L.) and spinach (Spinacia oleracea L.). The proposed amendments are known to adsorb these contaminants and reduce their uptake by plants, thus promoting plant growth and yield. In the mixed amendment, gasified biochar (GBC) was used for potatoes, whereas pyrolyzed biochar (PBC) was used for spinach plants. In 2015 and 2016, potatoes were grown in sandy soil filled lysimeters, with treatments: SAP+WW, SAP+GBC+WW, WW (no amendment, wastewater irrigation) and FW (no amendment, freshwater irrigation). In 2016, spinach plants were grown in different lysimeters with treatments SAP+WW, SAP+PBC+WW, WW and FW. The amendments were incorporated in soil at the rate of 1% (w/w) for both the plants. Plants were irrigated with laboratory prepared, highly contaminated synthetic wastewater, and were harvested at maturity. Observations on yield and plant health parameters, viz. photosynthetic activity, stomatal conductance, normalized difference vegetative index (NDVI), relative chlorophyll content index (RCCI), leaf temperature and root structure were recorded. Results indicated that irrigating potato and spinach plants with the wastewater, had no adverse effects on yield and growth of the plants. Potato tuber yield was the lowest with treatment SAP+GBC+WW during both years, and no significant differences were found in yield amongst other treatments. Spinach yield in SAP+PBC+WW treatment was significantly higher than that in other treatments (p

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Research paper thumbnail of Application of HYDRUS - 1D Model to Simulate the Transport of Heavy Metals in Domestic Wastewater –Biochar Column Study

Wastewater contains a wide variety of pollutants. When wastewater is poorly treated, pollutants s... more Wastewater contains a wide variety of pollutants. When wastewater is poorly treated, pollutants such as heavy metals could be discharged to surface water; consequently, posing a risk to aquatic life and human health. In the present study, our goal is to efficiently remove heavy metals from domestic wastewater effluents by using potential sorbents such as biochar originated from agricultural waste. Therefore, triplicates of 10 cm columns packed with biochar (rice straw torrefacted at400 ?C) were prepared then wastewater at four flow rates (1, 2, 4, 10 ml min-1) were passed through the columns. The leachates were collected and analyzed for their content of heavy metals (lead, cadmium, copper, chromium, iron and zinc) by atomic absorption. Breakthrough curves were constructed for each flow rate. In order to simulate the mobility of each heavy metal in the column profile, a one-dimensional model, HYDRUS-1D, was employed. The HYDRUS software is selected among the most widely used models ...

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Research paper thumbnail of Effect of soil pH on sorption of salinomycin in clay and sandy soils

African Journal of Environmental Science and Technology, 2011

Salinomycin is polyether ionophore, commonly used in poultry industry for the prevention of cocci... more Salinomycin is polyether ionophore, commonly used in poultry industry for the prevention of coccidial infections and promotion of growth. A large amount of the administered antibiotic is excreted as parent compound, eventually reaching agricultural lands. This makes it imperative for researchers to understand the behavior of the compound in soil environment by conducting sorption-desorption studies. In this study, sorption of salinomycin was measured in four agricultural soils, a clay soil with low organic matter content (LOM), a clay soil with high organic matter content (HOM), a sandy soil with HOM, and a loamy sandy (LOM) soils, at three pH levels, namely 4, 7 and 9. Desorption studies was carried out using the batch equilibration technique. It was observed that more than 98% salinomycin was strongly sorbed by all soils, irrespective of the soil organic matter content or soil pH. The sorption of salinomycin to the sandy soil marginally increased as the pH decreased, while the sor...

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Research paper thumbnail of Effect of hydrogel based soil amendments on heavy metal uptake by spinach grown with wastewater irrigation

Journal of Cleaner Production, 2021

Abstract Food crops irrigated with wastewater can uptake heavy metals, causing serious health ail... more Abstract Food crops irrigated with wastewater can uptake heavy metals, causing serious health ailments in humans. Use of a polyacrylamide superabsorbent polymer hydrogel and the same hydrogel mixed with pyrolyzed plantain peel biochar as soil amendments are proposed to reduce heavy metal uptake by wastewater-irrigated spinach (Spinacia oleracea L.) plants. A sorption test was carried out to establish the ability of these treatments to bind the heavy metals. In a lysimeter field experiment, the amendments were mixed in the top 0.10 m of soil (1% w/w) and spinach plants were grown using synthetic wastewater irrigation. After each irrigation, soil samples were obtained at different depths (0, 0.10, 0.30, and 0.60 m from the surface) for heavy metal analysis. Spinach leaves, root, and stem samples were obtained at the harvest for metal analysis. Sorption test results showed that the hydrogel-biochar amended soil adsorbed 0.80, 0.46, and 0.44 mg g−1 of cadmium, copper, and zinc, respectively, from a 0.5 mM multi-metal solution; the hydrogel treatment adsorbed 0.59, 0.41, and 0.24 mg g−1 of the metals, respectively. These amounts were at least 90% more than those adsorbed by the non-amended soil. In terms of the total metal uptake by spinach leaves, the hydrogel-biochar mix treatment performed better than the hydrogel treatment; it reduced the total uptake by 48%, whereas the hydrogel treatment was only able to reduce it by 15% when compared to the control that exhibited a total metal load of 1028 mg kg−1. Both treatments were able to significantly (p

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Research paper thumbnail of Heavy metal uptake by wastewater irrigated potato plants grown on contaminated soil treated with hydrogel based amendments

Environmental Technology & Innovation, 2020

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Research paper thumbnail of Use of Polyacrylamide Superabsorbent Polymers and Plantain Peel Biochar to Reduce Heavy Metal Mobility and Uptake by Wastewater-Irrigated Potato Plants

Transactions of the ASABE, 2020

HighlightsAmending soil with SAP+BC and SAP reduced Cd, Cu, and Zn uptake into potato tubers.SAP+... more HighlightsAmending soil with SAP+BC and SAP reduced Cd, Cu, and Zn uptake into potato tubers.SAP+BC treatment led to greater Cd and Zn retention in topsoil.Acrylamide monomers were not detected in potatoes grown in SAP-amended soil.Potato peels accumulated higher concentrations of heavy metals than tuber flesh.. Agriculture is the largest consumer of freshwater; therefore, use of alternate sources for irrigation, such as wastewater, could alleviate increasing stress on freshwater resources. However, wastewater may contain contaminants such as heavy metals (Cd, Cr, Cu, Fe, Pb, and Zn), which could be taken up by food crops and/or contaminate groundwater. To reduce the mobility of heavy metals in soil and deter their uptake by potatoes ( L.) irrigated with synthetic wastewater, polyacrylamide superabsorbent polymer (SAP) and a mixture of SAP and plantain peel biochar (SAP+BC) were tested as soil amendments. The experiment was performed in field lysimeters packed with sandy soil. SAP w...

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Research paper thumbnail of Super Absorbent Polymer and Irrigation Regime Effects on Growth and Water Use Efficiency of Container-Grown Cherry Tomatoes

Transactions of the ASABE, 2018

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Research paper thumbnail of Reduction in Water Stress for Tree Saplings Using Hydrogels in Soil

Journal of Geoscience and Environment Protection, 2017

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Research paper thumbnail of Effect of biochar on the fate and transport of manure-borne progesterone in soil

Ecological Engineering, 2016

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Research paper thumbnail of Application of support vector machine technology for the estimation of crop biophysical parameters using aerial hyperspectral observations

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Barley Straw Biochar and Compost Affect Heavy Metal Transport in Soil and Uptake by Potatoes Grown under Wastewater Irrigation

Sustainability

Wastewater can supplement freshwater in agriculture; however, it contains toxic heavy metals such... more Wastewater can supplement freshwater in agriculture; however, it contains toxic heavy metals such as cadmium, chromium, and lead that are hazardous to humans and the environment. We investigated the effects of barley straw biochar, green and table waste compost, and their mix on heavy metal transport in soil and uptake by potatoes (Solanum tuberosum L.) irrigated with synthetic wastewater for two years. In both years, amending soil with compost significantly reduced (p ≤ 0.05) cadmium uptake in potato flesh, skin, roots, and stems; zinc uptake in potato skin and roots; and copper uptake in potato flesh due to increased soil cation-exchange capacity, dissolved organic carbon, and soil pH. Co-amending the soil with compost and 3% biochar significantly reduced (p ≤ 0.05) the bioavailability of cadmium, copper, and zinc in the contaminated soil. Relative to the non-amended soils, soil amendment with biochar, compost, and their mix affected neither the transport of chromium, iron, and le...

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Research paper thumbnail of Calibration and validation of the MIKE SHE model in Canagagigue Creek watershed

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Linkflow, a Water Flow Computer Model for Water Table Management: Part 2. Model Verification

Transactions of the ASAE, 1997

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Towards the Development of Salt-Tolerant Potato

Potato Biology and Biotechnology, 2007

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Measuring performance in precision agriculture: CART—A decision tree approach

Agricultural Water Management, 2006

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Comparing Visible/NIR and MIR Hyperspectrometry for Measuring Soil Physical Properties

2014 ASABE Annual International Meeting, 2014

ABSTRACT Rapid developments in semiconductor technologies has improved the robustness and reduced... more ABSTRACT Rapid developments in semiconductor technologies has improved the robustness and reduced the cost, size and complexity of hyper-spectral instruments, hence, making them suitable for deployment in the field for in situ determination of soil physical and chemical attributes. The goal of this research was to compare two portable, field-deployable hyperspectral sensor systems. The first was a portable mid-infrared (MIR) spectrometer operating between 5,500 and 11,000 nm. The second was a dual spectrometer system operating in both visible (Vis) and near-infrared (NIR) (400 2,200 nm). A large archived set of 282 soil samples (collected on fields from four Canadian provinces) was used to represent an extensive range in soil textures, varying from sand to clay loam soils with a substantial range of soil organic carbon (SOC). Conventional soil analyses were performed on these samples prior to the measurements by both instruments. Wherever needed, the spectral data were transformed into optical density measurements and then pre-treated by mean centering (MC). Both data sets were randomly partitioned into training (70%) and validation (30%) sets. Partial least squares regression (PLSR) was used to develop spectral calibrations for predicting the percentage of sand, clay and SOC. Both Vis-NIR and MIR spectra revealed similar results. However, clay was better predicted using Vis-NIR and sand using MIR spectra. The highest coefficients of determination (R2) were found for sand (0.82) and clay (0.82). The corresponding root mean squared error (RMSE) was 10% and 7%, respectively. The ability to accurately predict SOC was not as well supported for the set of soils used in this experiment with a root mean squared error of approximately 0.4%. The tested methods prove the usefulness of both portable Vis-NIR and MIR spectrometers for predicting soil texture. Neither sensor showed substantially better performance.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of SPATIALLY CONSTRAINED GEOSPATIAL DATA CLUSTERING FOR MULTILAYER SENSOR-BASED MEASUREMENTS

ISPRS, 2014

One of the most popular approaches to process high-density proximal soil sensing data is to aggre... more One of the most popular approaches to process high-density proximal soil sensing data is to aggregate similar measurements representing unique field conditions. An innovative constraint-based spatial clustering algorithm has been developed. The algorithm seeks to minimize the mean squared error during the interactive grouping of spatially adjacent measurements similar to each other and different from the other parts of the field. After successful implementation of a one soil property scenario, this research was to accommodate multiple layers of soil properties representing the same area under investigation. Six agricultural fields across Nebraska, USA, were chosen to illustrate the algorithm performance. The three layers considered were field elevation and apparent soil electrical conductivity representing both deep and shallow layers of the soil profile. The algorithm was implemented in MATLAB, R2013b. Prior to the process of interactive grouping, geographic coordinates were projected and erroneous data were filtered out. Additional data pre-processing included bringing each data layer to a 20x20 m raster to facilitate multi-layer computations. An interactive grouping starts with a new "nest" search to initiate the first group of measurements that are most different from the rest of the field. This group is grown using a neighbourhood search approach and once growing the group fails to reduce the overall mean squared error, the algorithm seeks to locate a new "nest", which will grow into another group. This process continues until there is no benefit from separating out an additional part of the field. Results of the six-field trial showed that each case generated a reasonable number of groups which corresponded to agronomic knowledge of the fields. The unique feature of this approach is spatial continuity of each group and capability to process multiple data layers. Further development will involve comparison with a more traditional k-means clustering approach and agronomic model calibration using a targeted soil sampling.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Assessment of Common Scab-Inducing Pathogen Effects on Potato Underground Organs Via Computed Tomography Scanning

Phytopathology, Oct 1, 2008

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Identification of Significant Street Tree Inventory Parameters Using Multivariate Statistical Analyses

Arboriculture and Urban Forestry, Mar 1, 2009

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Branching out with a CT scanner

Trends in Plant Science, Sep 1, 2005

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Effect of hydrogel based soil amendments on yield and growth of wastewater irrigated potato and spinach grown in a sandy soil

Environmental Technology & Innovation

Abstract Increased food production, required for a growing population, would place additional str... more Abstract Increased food production, required for a growing population, would place additional stress on freshwater resources. Since agriculture is the largest freshwater consumer, supplementation of irrigation water with wastewater could be beneficial. However, wastewater contains contaminants such as heavy metals, which can adversely affect plant growth. Thus, it is necessary to develop techniques to minimize this adverse impact of wastewater irrigation. The objective of this study was to determine the effect of super absorbent polymer (SAP), as well as a mixture of SAP and plantain peel biochar as soil amendments, on growth and yield of wastewater (WW) irrigated potatoes (Solanum tuberosum L.) and spinach (Spinacia oleracea L.). The proposed amendments are known to adsorb these contaminants and reduce their uptake by plants, thus promoting plant growth and yield. In the mixed amendment, gasified biochar (GBC) was used for potatoes, whereas pyrolyzed biochar (PBC) was used for spinach plants. In 2015 and 2016, potatoes were grown in sandy soil filled lysimeters, with treatments: SAP+WW, SAP+GBC+WW, WW (no amendment, wastewater irrigation) and FW (no amendment, freshwater irrigation). In 2016, spinach plants were grown in different lysimeters with treatments SAP+WW, SAP+PBC+WW, WW and FW. The amendments were incorporated in soil at the rate of 1% (w/w) for both the plants. Plants were irrigated with laboratory prepared, highly contaminated synthetic wastewater, and were harvested at maturity. Observations on yield and plant health parameters, viz. photosynthetic activity, stomatal conductance, normalized difference vegetative index (NDVI), relative chlorophyll content index (RCCI), leaf temperature and root structure were recorded. Results indicated that irrigating potato and spinach plants with the wastewater, had no adverse effects on yield and growth of the plants. Potato tuber yield was the lowest with treatment SAP+GBC+WW during both years, and no significant differences were found in yield amongst other treatments. Spinach yield in SAP+PBC+WW treatment was significantly higher than that in other treatments (p

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Application of HYDRUS - 1D Model to Simulate the Transport of Heavy Metals in Domestic Wastewater –Biochar Column Study

Wastewater contains a wide variety of pollutants. When wastewater is poorly treated, pollutants s... more Wastewater contains a wide variety of pollutants. When wastewater is poorly treated, pollutants such as heavy metals could be discharged to surface water; consequently, posing a risk to aquatic life and human health. In the present study, our goal is to efficiently remove heavy metals from domestic wastewater effluents by using potential sorbents such as biochar originated from agricultural waste. Therefore, triplicates of 10 cm columns packed with biochar (rice straw torrefacted at400 ?C) were prepared then wastewater at four flow rates (1, 2, 4, 10 ml min-1) were passed through the columns. The leachates were collected and analyzed for their content of heavy metals (lead, cadmium, copper, chromium, iron and zinc) by atomic absorption. Breakthrough curves were constructed for each flow rate. In order to simulate the mobility of each heavy metal in the column profile, a one-dimensional model, HYDRUS-1D, was employed. The HYDRUS software is selected among the most widely used models ...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Effect of soil pH on sorption of salinomycin in clay and sandy soils

African Journal of Environmental Science and Technology, 2011

Salinomycin is polyether ionophore, commonly used in poultry industry for the prevention of cocci... more Salinomycin is polyether ionophore, commonly used in poultry industry for the prevention of coccidial infections and promotion of growth. A large amount of the administered antibiotic is excreted as parent compound, eventually reaching agricultural lands. This makes it imperative for researchers to understand the behavior of the compound in soil environment by conducting sorption-desorption studies. In this study, sorption of salinomycin was measured in four agricultural soils, a clay soil with low organic matter content (LOM), a clay soil with high organic matter content (HOM), a sandy soil with HOM, and a loamy sandy (LOM) soils, at three pH levels, namely 4, 7 and 9. Desorption studies was carried out using the batch equilibration technique. It was observed that more than 98% salinomycin was strongly sorbed by all soils, irrespective of the soil organic matter content or soil pH. The sorption of salinomycin to the sandy soil marginally increased as the pH decreased, while the sor...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Effect of hydrogel based soil amendments on heavy metal uptake by spinach grown with wastewater irrigation

Journal of Cleaner Production, 2021

Abstract Food crops irrigated with wastewater can uptake heavy metals, causing serious health ail... more Abstract Food crops irrigated with wastewater can uptake heavy metals, causing serious health ailments in humans. Use of a polyacrylamide superabsorbent polymer hydrogel and the same hydrogel mixed with pyrolyzed plantain peel biochar as soil amendments are proposed to reduce heavy metal uptake by wastewater-irrigated spinach (Spinacia oleracea L.) plants. A sorption test was carried out to establish the ability of these treatments to bind the heavy metals. In a lysimeter field experiment, the amendments were mixed in the top 0.10 m of soil (1% w/w) and spinach plants were grown using synthetic wastewater irrigation. After each irrigation, soil samples were obtained at different depths (0, 0.10, 0.30, and 0.60 m from the surface) for heavy metal analysis. Spinach leaves, root, and stem samples were obtained at the harvest for metal analysis. Sorption test results showed that the hydrogel-biochar amended soil adsorbed 0.80, 0.46, and 0.44 mg g−1 of cadmium, copper, and zinc, respectively, from a 0.5 mM multi-metal solution; the hydrogel treatment adsorbed 0.59, 0.41, and 0.24 mg g−1 of the metals, respectively. These amounts were at least 90% more than those adsorbed by the non-amended soil. In terms of the total metal uptake by spinach leaves, the hydrogel-biochar mix treatment performed better than the hydrogel treatment; it reduced the total uptake by 48%, whereas the hydrogel treatment was only able to reduce it by 15% when compared to the control that exhibited a total metal load of 1028 mg kg−1. Both treatments were able to significantly (p

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Heavy metal uptake by wastewater irrigated potato plants grown on contaminated soil treated with hydrogel based amendments

Environmental Technology & Innovation, 2020

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Use of Polyacrylamide Superabsorbent Polymers and Plantain Peel Biochar to Reduce Heavy Metal Mobility and Uptake by Wastewater-Irrigated Potato Plants

Transactions of the ASABE, 2020

HighlightsAmending soil with SAP+BC and SAP reduced Cd, Cu, and Zn uptake into potato tubers.SAP+... more HighlightsAmending soil with SAP+BC and SAP reduced Cd, Cu, and Zn uptake into potato tubers.SAP+BC treatment led to greater Cd and Zn retention in topsoil.Acrylamide monomers were not detected in potatoes grown in SAP-amended soil.Potato peels accumulated higher concentrations of heavy metals than tuber flesh.. Agriculture is the largest consumer of freshwater; therefore, use of alternate sources for irrigation, such as wastewater, could alleviate increasing stress on freshwater resources. However, wastewater may contain contaminants such as heavy metals (Cd, Cr, Cu, Fe, Pb, and Zn), which could be taken up by food crops and/or contaminate groundwater. To reduce the mobility of heavy metals in soil and deter their uptake by potatoes ( L.) irrigated with synthetic wastewater, polyacrylamide superabsorbent polymer (SAP) and a mixture of SAP and plantain peel biochar (SAP+BC) were tested as soil amendments. The experiment was performed in field lysimeters packed with sandy soil. SAP w...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Super Absorbent Polymer and Irrigation Regime Effects on Growth and Water Use Efficiency of Container-Grown Cherry Tomatoes

Transactions of the ASABE, 2018

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Reduction in Water Stress for Tree Saplings Using Hydrogels in Soil

Journal of Geoscience and Environment Protection, 2017

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Effect of biochar on the fate and transport of manure-borne progesterone in soil

Ecological Engineering, 2016

Bookmarks Related papers MentionsView impact