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D.J.F.M. Kromwijk
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1
The integration of biological and (bio-)geochemical processes in soils is posed to become the next transformative practice in geotechnical engineering. Soil Sealing by Enhanced Aluminium and dissolved organic matter Leaching, also known as SoSEAL, is inspired by a natural soil formation process, called Podzolization. This process results in the formation of a nearly impermeable spodic B-horizon. A similar low-permeable layer is made by SoSEAL. The products of the chemical reaction between aluminium and organic matter generates organic precipitation, clogging the pore throats between sand grains. Past research on SoSEAL has primarily centered on its application as a low-permeable water retaining barrier used for dyke improvement. However, the broader impact of SoSEAL on the mechanical properties of soils beyond permeability remains largely unexplored.
Despite progress, gaps persist in understanding SoSEAL’s influence on sand’s mechanical properties, particularly on the shear strength. The primary objective in this research was to investigate the impact of different concentrations of Al-OM (Aluminum and Organic Matter) flocs on sand’s mechanical characteristics through ex-situ mixing. This included the development of a testing procedure using a triaxial test apparatus, incorporating results from permeability tests and utilizing microscopy to analyze micro structural changes and the underlying mechanisms. The study aimed to deliver valuable insights into SoSEAL’s potential as a nature-inspired geo-engineering solution for soil improvement.
Undrained triaxial tests were conducted on ex-situ mixed sand with different concentrations of Al-OM flocs, namely 0, 0.1, 0.5 and 1%. These concentrations were defined as dry mass of flocs based on a metal/carbon ratio of 0.06. Through a carefully executed test procedure, involving Proctor’s test, permeability measurements and triaxial testing, the mechanical properties of the treated sand were investigated. Proctor’s tests were utilized to determine the maximum dry density and its corresponding moisture content of the (un)treated sand. These parameters were used for molding the sand samples for the triaxial test series. The untreated sand did not show a clear peak in its Proctor curve, which is typical for uniform graded fine/medium sands. The porosities, derived from the optimum dry density and corresponding water content, were found to be ≈ 0.4 (-) for all samples. Indicating the minor impact of the Al-OM flocs to the porosity of the sand samples.
The undrained consolidated triaxial test procedure, consisting of saturation, consolidation, and shearing, provided insights into the mechanical properties of SoSEAL. Although the consolidation phase did not reveal significant differences
in the presence of Al-OM flocs, elastic parameters, derived from the shearing phase, generally increased with higher Al-OM floc concentrations in sand. Young’s Modulus, E , increased by a magnitude between 2.11-2.62 times the untreated sand, while the shear Modulus, G, increased by a magnitude between 2.09-2.18. Nonetheless, exceptions such as test CU05-1 and CU10-2 were observed. Strength parameters, measured by maximum deviatoric stress at failure, exhibited an overall increase with higher floc concentrations. Finally, the results show that an alteration in floc concentration in sand did not have a significant impact on its permeability, contrary to previous measurements obtained in the absence of confinement.
The results from the Proctor’s test, permeability measurements and the triaxial tests highlighted differences and improved general knowledge of the impact of Al-OM flocs to the mechanical properties of sand. Variations in test results, seen
when comparing test CU05-1 to CU05-2 and test CU10-1 to CU10-2, underscored the complexity of factors such as compaction challenges and localized failures. From microscale examination using scanning electron miscroscopy (SEM), the increase in strength properties can be attributed to the cohesion between sand grains, evident in the formation of grain clusters. As the concentration of Al-OM flocs in sands increased, so did the quantity of grain clusters. The potential of Al-OM flocs in sand for dyke improvement is found in the observed increase in elastic and strength properties, providing enhanced resistance against erosion.
...
Despite progress, gaps persist in understanding SoSEAL’s influence on sand’s mechanical properties, particularly on the shear strength. The primary objective in this research was to investigate the impact of different concentrations of Al-OM (Aluminum and Organic Matter) flocs on sand’s mechanical characteristics through ex-situ mixing. This included the development of a testing procedure using a triaxial test apparatus, incorporating results from permeability tests and utilizing microscopy to analyze micro structural changes and the underlying mechanisms. The study aimed to deliver valuable insights into SoSEAL’s potential as a nature-inspired geo-engineering solution for soil improvement.
Undrained triaxial tests were conducted on ex-situ mixed sand with different concentrations of Al-OM flocs, namely 0, 0.1, 0.5 and 1%. These concentrations were defined as dry mass of flocs based on a metal/carbon ratio of 0.06. Through a carefully executed test procedure, involving Proctor’s test, permeability measurements and triaxial testing, the mechanical properties of the treated sand were investigated. Proctor’s tests were utilized to determine the maximum dry density and its corresponding moisture content of the (un)treated sand. These parameters were used for molding the sand samples for the triaxial test series. The untreated sand did not show a clear peak in its Proctor curve, which is typical for uniform graded fine/medium sands. The porosities, derived from the optimum dry density and corresponding water content, were found to be ≈ 0.4 (-) for all samples. Indicating the minor impact of the Al-OM flocs to the porosity of the sand samples.
The undrained consolidated triaxial test procedure, consisting of saturation, consolidation, and shearing, provided insights into the mechanical properties of SoSEAL. Although the consolidation phase did not reveal significant differences
in the presence of Al-OM flocs, elastic parameters, derived from the shearing phase, generally increased with higher Al-OM floc concentrations in sand. Young’s Modulus, E , increased by a magnitude between 2.11-2.62 times the untreated sand, while the shear Modulus, G, increased by a magnitude between 2.09-2.18. Nonetheless, exceptions such as test CU05-1 and CU10-2 were observed. Strength parameters, measured by maximum deviatoric stress at failure, exhibited an overall increase with higher floc concentrations. Finally, the results show that an alteration in floc concentration in sand did not have a significant impact on its permeability, contrary to previous measurements obtained in the absence of confinement.
The results from the Proctor’s test, permeability measurements and the triaxial tests highlighted differences and improved general knowledge of the impact of Al-OM flocs to the mechanical properties of sand. Variations in test results, seen
when comparing test CU05-1 to CU05-2 and test CU10-1 to CU10-2, underscored the complexity of factors such as compaction challenges and localized failures. From microscale examination using scanning electron miscroscopy (SEM), the increase in strength properties can be attributed to the cohesion between sand grains, evident in the formation of grain clusters. As the concentration of Al-OM flocs in sands increased, so did the quantity of grain clusters. The potential of Al-OM flocs in sand for dyke improvement is found in the observed increase in elastic and strength properties, providing enhanced resistance against erosion.
...
The integration of biological and (bio-)geochemical processes in soils is posed to become the next transformative practice in geotechnical engineering. Soil Sealing by Enhanced Aluminium and dissolved organic matter Leaching, also known as SoSEAL, is inspired by a natural soil formation process, called Podzolization. This process results in the formation of a nearly impermeable spodic B-horizon. A similar low-permeable layer is made by SoSEAL. The products of the chemical reaction between aluminium and organic matter generates organic precipitation, clogging the pore throats between sand grains. Past research on SoSEAL has primarily centered on its application as a low-permeable water retaining barrier used for dyke improvement. However, the broader impact of SoSEAL on the mechanical properties of soils beyond permeability remains largely unexplored.
Despite progress, gaps persist in understanding SoSEAL’s influence on sand’s mechanical properties, particularly on the shear strength. The primary objective in this research was to investigate the impact of different concentrations of Al-OM (Aluminum and Organic Matter) flocs on sand’s mechanical characteristics through ex-situ mixing. This included the development of a testing procedure using a triaxial test apparatus, incorporating results from permeability tests and utilizing microscopy to analyze micro structural changes and the underlying mechanisms. The study aimed to deliver valuable insights into SoSEAL’s potential as a nature-inspired geo-engineering solution for soil improvement.
Undrained triaxial tests were conducted on ex-situ mixed sand with different concentrations of Al-OM flocs, namely 0, 0.1, 0.5 and 1%. These concentrations were defined as dry mass of flocs based on a metal/carbon ratio of 0.06. Through a carefully executed test procedure, involving Proctor’s test, permeability measurements and triaxial testing, the mechanical properties of the treated sand were investigated. Proctor’s tests were utilized to determine the maximum dry density and its corresponding moisture content of the (un)treated sand. These parameters were used for molding the sand samples for the triaxial test series. The untreated sand did not show a clear peak in its Proctor curve, which is typical for uniform graded fine/medium sands. The porosities, derived from the optimum dry density and corresponding water content, were found to be ≈ 0.4 (-) for all samples. Indicating the minor impact of the Al-OM flocs to the porosity of the sand samples.
The undrained consolidated triaxial test procedure, consisting of saturation, consolidation, and shearing, provided insights into the mechanical properties of SoSEAL. Although the consolidation phase did not reveal significant differences
in the presence of Al-OM flocs, elastic parameters, derived from the shearing phase, generally increased with higher Al-OM floc concentrations in sand. Young’s Modulus, E , increased by a magnitude between 2.11-2.62 times the untreated sand, while the shear Modulus, G, increased by a magnitude between 2.09-2.18. Nonetheless, exceptions such as test CU05-1 and CU10-2 were observed. Strength parameters, measured by maximum deviatoric stress at failure, exhibited an overall increase with higher floc concentrations. Finally, the results show that an alteration in floc concentration in sand did not have a significant impact on its permeability, contrary to previous measurements obtained in the absence of confinement.
The results from the Proctor’s test, permeability measurements and the triaxial tests highlighted differences and improved general knowledge of the impact of Al-OM flocs to the mechanical properties of sand. Variations in test results, seen
when comparing test CU05-1 to CU05-2 and test CU10-1 to CU10-2, underscored the complexity of factors such as compaction challenges and localized failures. From microscale examination using scanning electron miscroscopy (SEM), the increase in strength properties can be attributed to the cohesion between sand grains, evident in the formation of grain clusters. As the concentration of Al-OM flocs in sands increased, so did the quantity of grain clusters. The potential of Al-OM flocs in sand for dyke improvement is found in the observed increase in elastic and strength properties, providing enhanced resistance against erosion.
Despite progress, gaps persist in understanding SoSEAL’s influence on sand’s mechanical properties, particularly on the shear strength. The primary objective in this research was to investigate the impact of different concentrations of Al-OM (Aluminum and Organic Matter) flocs on sand’s mechanical characteristics through ex-situ mixing. This included the development of a testing procedure using a triaxial test apparatus, incorporating results from permeability tests and utilizing microscopy to analyze micro structural changes and the underlying mechanisms. The study aimed to deliver valuable insights into SoSEAL’s potential as a nature-inspired geo-engineering solution for soil improvement.
Undrained triaxial tests were conducted on ex-situ mixed sand with different concentrations of Al-OM flocs, namely 0, 0.1, 0.5 and 1%. These concentrations were defined as dry mass of flocs based on a metal/carbon ratio of 0.06. Through a carefully executed test procedure, involving Proctor’s test, permeability measurements and triaxial testing, the mechanical properties of the treated sand were investigated. Proctor’s tests were utilized to determine the maximum dry density and its corresponding moisture content of the (un)treated sand. These parameters were used for molding the sand samples for the triaxial test series. The untreated sand did not show a clear peak in its Proctor curve, which is typical for uniform graded fine/medium sands. The porosities, derived from the optimum dry density and corresponding water content, were found to be ≈ 0.4 (-) for all samples. Indicating the minor impact of the Al-OM flocs to the porosity of the sand samples.
The undrained consolidated triaxial test procedure, consisting of saturation, consolidation, and shearing, provided insights into the mechanical properties of SoSEAL. Although the consolidation phase did not reveal significant differences
in the presence of Al-OM flocs, elastic parameters, derived from the shearing phase, generally increased with higher Al-OM floc concentrations in sand. Young’s Modulus, E , increased by a magnitude between 2.11-2.62 times the untreated sand, while the shear Modulus, G, increased by a magnitude between 2.09-2.18. Nonetheless, exceptions such as test CU05-1 and CU10-2 were observed. Strength parameters, measured by maximum deviatoric stress at failure, exhibited an overall increase with higher floc concentrations. Finally, the results show that an alteration in floc concentration in sand did not have a significant impact on its permeability, contrary to previous measurements obtained in the absence of confinement.
The results from the Proctor’s test, permeability measurements and the triaxial tests highlighted differences and improved general knowledge of the impact of Al-OM flocs to the mechanical properties of sand. Variations in test results, seen
when comparing test CU05-1 to CU05-2 and test CU10-1 to CU10-2, underscored the complexity of factors such as compaction challenges and localized failures. From microscale examination using scanning electron miscroscopy (SEM), the increase in strength properties can be attributed to the cohesion between sand grains, evident in the formation of grain clusters. As the concentration of Al-OM flocs in sands increased, so did the quantity of grain clusters. The potential of Al-OM flocs in sand for dyke improvement is found in the observed increase in elastic and strength properties, providing enhanced resistance against erosion.
Flood Risk Assessment Isiolo River Basin, Kenya
Feasibility of the SLAMDAM in the Isiolo River Basin using the FIS Tool
Student report
(2022)
-
T. Cheaz, D.J.F.M. Kromwijk, L.S. Middelbeek, L.A. Nelen, R.T.S. Sutarto Hardjosusono, N.C. van de Giesen, Johan Ninan, A.P. van den Eijnden
This report provides a flood risk assessment of the Isiolo River Basin, in collaboration with Nelen & Schuurmans (3Di, FIS Tool) and Zephyr Consulting (SLAMDAM). This flood risk assessment includes a study of the current flood risk management in Kenya, and in the Isiolo River Basin in particular, because the need for proper flood management is urgent: various climate studies predict an increase in rainfall and an increase in flood risk as a result of the effects of climate change.
Current flood risk management is inadequate. Kenya has defined 21 flood-prone areas whereof one of them is Isiolo Town. Isiolo Town is located in the ENN basin which is, relatively, the most prone to the effects of climate change compared to the other basins. Furthermore, the ENN basin currently has the highest poverty rate and avoidance of further enlargement in poverty rate is important, so there is a need to mitigate flood risks. Since Isiolo Town is located in the Isiolo River Basin, this basin has been chosen for an in-depth study.
The Isiolo River Basin is an Arid Semi-Arid Land region which is often prone to flash floods. Isiolo Town is a flat area located downstream of mountainous area, the rain which falls upstream flows fast downstream and converges into town, often resulting in inundation. Many hazards, both natural and others, are increasing the flood risk in the basin and specifically Isiolo Town.
This flood risk demands flood risk mitigation measures. One possible measure is the SLAMDAM. The SLAMDAM is a movable water-filled flood-barrier. One dam has a length of 5 meters and a height of 1 meter and the dams can be connected to a desired length. The water stored in the dam can be used afterwards for irrigation or other uses.
To recommend effective areas to implement the SLAMDAM, 3Di and the FIS Tool are used. 3Di is a hydrodynamic model and it creates flood maps for different rain events. These flood maps are used as input for the FIS Tool. The FIS Tool calculates the benefits for deploying the SLAMDAM at a certain location for a particular length. The locations which result in the highest benefit are recommended to deploy the SLAMDAM in case of particular rain events. However, a site visit is required to see whether the modelled situation aligns with the real-life situation and to see whether boundary conditions are met.
The SLAMDAM is also compared to other flood risk mitigation measures. Some were analysed using the FIS Tool, whereas others are evaluated based on five self-formulated ranking criteria. These criteria form the base of a scoring matrix where each relevant mitigation measure is scored on.
The performed research has shown the SLAMDAM to rank the best compared to other mitigation measures, both when using the scoring matrix and when using the FIS Tool. However, it is highly recommended to use the SLAMDAM in combination with a Flood Early Warning System. In this way the community downstream can be warned in time to deploy the SLAMDAM. The FIS Tool is found to be especially valuable in finding proper locations for deployment and the dam can be stored close to these locations, enabling fast deployment of the dam in case of need. ...
Current flood risk management is inadequate. Kenya has defined 21 flood-prone areas whereof one of them is Isiolo Town. Isiolo Town is located in the ENN basin which is, relatively, the most prone to the effects of climate change compared to the other basins. Furthermore, the ENN basin currently has the highest poverty rate and avoidance of further enlargement in poverty rate is important, so there is a need to mitigate flood risks. Since Isiolo Town is located in the Isiolo River Basin, this basin has been chosen for an in-depth study.
The Isiolo River Basin is an Arid Semi-Arid Land region which is often prone to flash floods. Isiolo Town is a flat area located downstream of mountainous area, the rain which falls upstream flows fast downstream and converges into town, often resulting in inundation. Many hazards, both natural and others, are increasing the flood risk in the basin and specifically Isiolo Town.
This flood risk demands flood risk mitigation measures. One possible measure is the SLAMDAM. The SLAMDAM is a movable water-filled flood-barrier. One dam has a length of 5 meters and a height of 1 meter and the dams can be connected to a desired length. The water stored in the dam can be used afterwards for irrigation or other uses.
To recommend effective areas to implement the SLAMDAM, 3Di and the FIS Tool are used. 3Di is a hydrodynamic model and it creates flood maps for different rain events. These flood maps are used as input for the FIS Tool. The FIS Tool calculates the benefits for deploying the SLAMDAM at a certain location for a particular length. The locations which result in the highest benefit are recommended to deploy the SLAMDAM in case of particular rain events. However, a site visit is required to see whether the modelled situation aligns with the real-life situation and to see whether boundary conditions are met.
The SLAMDAM is also compared to other flood risk mitigation measures. Some were analysed using the FIS Tool, whereas others are evaluated based on five self-formulated ranking criteria. These criteria form the base of a scoring matrix where each relevant mitigation measure is scored on.
The performed research has shown the SLAMDAM to rank the best compared to other mitigation measures, both when using the scoring matrix and when using the FIS Tool. However, it is highly recommended to use the SLAMDAM in combination with a Flood Early Warning System. In this way the community downstream can be warned in time to deploy the SLAMDAM. The FIS Tool is found to be especially valuable in finding proper locations for deployment and the dam can be stored close to these locations, enabling fast deployment of the dam in case of need. ...
This report provides a flood risk assessment of the Isiolo River Basin, in collaboration with Nelen & Schuurmans (3Di, FIS Tool) and Zephyr Consulting (SLAMDAM). This flood risk assessment includes a study of the current flood risk management in Kenya, and in the Isiolo River Basin in particular, because the need for proper flood management is urgent: various climate studies predict an increase in rainfall and an increase in flood risk as a result of the effects of climate change.
Current flood risk management is inadequate. Kenya has defined 21 flood-prone areas whereof one of them is Isiolo Town. Isiolo Town is located in the ENN basin which is, relatively, the most prone to the effects of climate change compared to the other basins. Furthermore, the ENN basin currently has the highest poverty rate and avoidance of further enlargement in poverty rate is important, so there is a need to mitigate flood risks. Since Isiolo Town is located in the Isiolo River Basin, this basin has been chosen for an in-depth study.
The Isiolo River Basin is an Arid Semi-Arid Land region which is often prone to flash floods. Isiolo Town is a flat area located downstream of mountainous area, the rain which falls upstream flows fast downstream and converges into town, often resulting in inundation. Many hazards, both natural and others, are increasing the flood risk in the basin and specifically Isiolo Town.
This flood risk demands flood risk mitigation measures. One possible measure is the SLAMDAM. The SLAMDAM is a movable water-filled flood-barrier. One dam has a length of 5 meters and a height of 1 meter and the dams can be connected to a desired length. The water stored in the dam can be used afterwards for irrigation or other uses.
To recommend effective areas to implement the SLAMDAM, 3Di and the FIS Tool are used. 3Di is a hydrodynamic model and it creates flood maps for different rain events. These flood maps are used as input for the FIS Tool. The FIS Tool calculates the benefits for deploying the SLAMDAM at a certain location for a particular length. The locations which result in the highest benefit are recommended to deploy the SLAMDAM in case of particular rain events. However, a site visit is required to see whether the modelled situation aligns with the real-life situation and to see whether boundary conditions are met.
The SLAMDAM is also compared to other flood risk mitigation measures. Some were analysed using the FIS Tool, whereas others are evaluated based on five self-formulated ranking criteria. These criteria form the base of a scoring matrix where each relevant mitigation measure is scored on.
The performed research has shown the SLAMDAM to rank the best compared to other mitigation measures, both when using the scoring matrix and when using the FIS Tool. However, it is highly recommended to use the SLAMDAM in combination with a Flood Early Warning System. In this way the community downstream can be warned in time to deploy the SLAMDAM. The FIS Tool is found to be especially valuable in finding proper locations for deployment and the dam can be stored close to these locations, enabling fast deployment of the dam in case of need.
Current flood risk management is inadequate. Kenya has defined 21 flood-prone areas whereof one of them is Isiolo Town. Isiolo Town is located in the ENN basin which is, relatively, the most prone to the effects of climate change compared to the other basins. Furthermore, the ENN basin currently has the highest poverty rate and avoidance of further enlargement in poverty rate is important, so there is a need to mitigate flood risks. Since Isiolo Town is located in the Isiolo River Basin, this basin has been chosen for an in-depth study.
The Isiolo River Basin is an Arid Semi-Arid Land region which is often prone to flash floods. Isiolo Town is a flat area located downstream of mountainous area, the rain which falls upstream flows fast downstream and converges into town, often resulting in inundation. Many hazards, both natural and others, are increasing the flood risk in the basin and specifically Isiolo Town.
This flood risk demands flood risk mitigation measures. One possible measure is the SLAMDAM. The SLAMDAM is a movable water-filled flood-barrier. One dam has a length of 5 meters and a height of 1 meter and the dams can be connected to a desired length. The water stored in the dam can be used afterwards for irrigation or other uses.
To recommend effective areas to implement the SLAMDAM, 3Di and the FIS Tool are used. 3Di is a hydrodynamic model and it creates flood maps for different rain events. These flood maps are used as input for the FIS Tool. The FIS Tool calculates the benefits for deploying the SLAMDAM at a certain location for a particular length. The locations which result in the highest benefit are recommended to deploy the SLAMDAM in case of particular rain events. However, a site visit is required to see whether the modelled situation aligns with the real-life situation and to see whether boundary conditions are met.
The SLAMDAM is also compared to other flood risk mitigation measures. Some were analysed using the FIS Tool, whereas others are evaluated based on five self-formulated ranking criteria. These criteria form the base of a scoring matrix where each relevant mitigation measure is scored on.
The performed research has shown the SLAMDAM to rank the best compared to other mitigation measures, both when using the scoring matrix and when using the FIS Tool. However, it is highly recommended to use the SLAMDAM in combination with a Flood Early Warning System. In this way the community downstream can be warned in time to deploy the SLAMDAM. The FIS Tool is found to be especially valuable in finding proper locations for deployment and the dam can be stored close to these locations, enabling fast deployment of the dam in case of need.