This document discusses using the PESERA model to analyze soil erosion in various locations:
1) In Portugal, the PESERA model results matched fieldwork showing low erosion in mature forests but higher erosion in areas disturbed by wildfires. Prescribed burning increased erosion slightly less than wildfires.
2) In Crete, Greece, PESERA results were comparable to measured erosion rates and reflected catchment conditions.
3) Data preparation for running PESERA in other locations, like Morocco and Russia, is discussed. Maps, soil data, and climate data were used as inputs to the model.
This document presents the results of a GIS analysis of datasets relating to Holton Lee, a site in Dorset with historical, ecological, and environmental designations. Five maps were produced integrating these datasets to aid long-term management. Figure 1 shows Roman and Iron Age monuments overlaid on bedrock geology. Figure 2 is a land cover map classified at a 5m minimum. Figure 3 adds 1m and 2m elevation contours to the land cover map to estimate land loss from sea level rise. Figure 4 maps 18th century waste dumps and anomalies overlaid on geology. Figure 5 plots pitfall trap locations and invertebrate distributions over superficial geology. The analysis estimates significant land loss, especially of saltmarsh, wet
Measuring rates of arable soil formation to better understand the severity of...ExternalEvents
1) The document discusses measuring rates of arable soil formation to better understand the severity of soil erosion.
2) It presents soil formation rates measured through cosmogenic nuclide analysis at two sites in the UK, Rufford Farm and Comer Woodland, ranging from 0.023 to 0.064 mm/yr.
3) By comparing the formation rates to measured erosion rates, the authors estimate that the topsoil at Rufford Farm could be eroded in 137 years under current management practices.
Carbon Sequestration Potential in the Savannas Ecosystems of VenezuelaExternalEvents
This presentation was presented during the 1 Parallel session on Theme 3.2, Managing SOC in: Grasslands and livestock production systems, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Juan Antonio Comerma, from IDECYT – Venezuela, in FAO Hq, Rome
This study uses seismic attribute analysis of a 3D seismic survey covering a producing lease in the Morrison Northeast oil field in Clark County, Kansas. The target horizon is the Ordovician Viola Limestone, which produces from paleotopographic traps formed by erosion beneath an unconformity. Nine wells were drilled targeting thickened sections of the Viola identified on seismic data, but two were dry holes and one was converted to a disposal well. Attributes analysis found producing wells cluster at lower amplitudes, while dry holes and disposal wells are at higher amplitudes. Future work will analyze lithofacies from drill cuttings and multi-attribute displays to better understand controls on Viola production.
Is an expert-based model able to map erosion in agricultural catchment? ExternalEvents
The document evaluates the LandSoil model's ability to map erosion in an agricultural catchment. The objective is to represent runoff, erosion, and deposition patterns around connectivity points. The study area uses a 1m DEM of a region in Wallonia. The model operates using expert rules to model runoff based on infiltration rates and an modified D8 flow algorithm, as well as rill, interrill, and tillage erosion. Inputs include soil characteristics, infiltration capacities from measurements, and sediment concentrations from expert rules. Measurements of runoff and erosion are compared to modeling results, showing close correspondence for runoff volumes and satisfying validation for erosion measurements. The model captures the influence of land use and field boundaries on erosion amounts.
Soils Map & Descriptions from USDA USGSGlenn Murphy
This document is a soil map of an 80-acre area of interest in Kemper County, Mississippi. The map legend identifies 8 different soil map units that are found within the area, along with their acreage and percentage of the total area. These soils include Kirkville fine sandy loam, Mantachie loam, Ruston fine sandy loam, Savannah fine sandy loam, Smithdale fine sandy loam, Sweatman fine sandy loam, and Sweatman-Smithdale association. The map also provides information on the map scale and source, and an overview of the soil survey for Kemper County, Mississippi.
This document discusses using the PESERA model to analyze soil erosion in various locations:
1) In Portugal, the PESERA model results matched fieldwork showing low erosion in mature forests but higher erosion in areas disturbed by wildfires. Prescribed burning increased erosion slightly less than wildfires.
2) In Crete, Greece, PESERA results were comparable to measured erosion rates and reflected catchment conditions.
3) Data preparation for running PESERA in other locations, like Morocco and Russia, is discussed. Maps, soil data, and climate data were used as inputs to the model.
This document presents the results of a GIS analysis of datasets relating to Holton Lee, a site in Dorset with historical, ecological, and environmental designations. Five maps were produced integrating these datasets to aid long-term management. Figure 1 shows Roman and Iron Age monuments overlaid on bedrock geology. Figure 2 is a land cover map classified at a 5m minimum. Figure 3 adds 1m and 2m elevation contours to the land cover map to estimate land loss from sea level rise. Figure 4 maps 18th century waste dumps and anomalies overlaid on geology. Figure 5 plots pitfall trap locations and invertebrate distributions over superficial geology. The analysis estimates significant land loss, especially of saltmarsh, wet
Measuring rates of arable soil formation to better understand the severity of...ExternalEvents
1) The document discusses measuring rates of arable soil formation to better understand the severity of soil erosion.
2) It presents soil formation rates measured through cosmogenic nuclide analysis at two sites in the UK, Rufford Farm and Comer Woodland, ranging from 0.023 to 0.064 mm/yr.
3) By comparing the formation rates to measured erosion rates, the authors estimate that the topsoil at Rufford Farm could be eroded in 137 years under current management practices.
Carbon Sequestration Potential in the Savannas Ecosystems of VenezuelaExternalEvents
This presentation was presented during the 1 Parallel session on Theme 3.2, Managing SOC in: Grasslands and livestock production systems, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Juan Antonio Comerma, from IDECYT – Venezuela, in FAO Hq, Rome
This study uses seismic attribute analysis of a 3D seismic survey covering a producing lease in the Morrison Northeast oil field in Clark County, Kansas. The target horizon is the Ordovician Viola Limestone, which produces from paleotopographic traps formed by erosion beneath an unconformity. Nine wells were drilled targeting thickened sections of the Viola identified on seismic data, but two were dry holes and one was converted to a disposal well. Attributes analysis found producing wells cluster at lower amplitudes, while dry holes and disposal wells are at higher amplitudes. Future work will analyze lithofacies from drill cuttings and multi-attribute displays to better understand controls on Viola production.
Is an expert-based model able to map erosion in agricultural catchment? ExternalEvents
The document evaluates the LandSoil model's ability to map erosion in an agricultural catchment. The objective is to represent runoff, erosion, and deposition patterns around connectivity points. The study area uses a 1m DEM of a region in Wallonia. The model operates using expert rules to model runoff based on infiltration rates and an modified D8 flow algorithm, as well as rill, interrill, and tillage erosion. Inputs include soil characteristics, infiltration capacities from measurements, and sediment concentrations from expert rules. Measurements of runoff and erosion are compared to modeling results, showing close correspondence for runoff volumes and satisfying validation for erosion measurements. The model captures the influence of land use and field boundaries on erosion amounts.
Soils Map & Descriptions from USDA USGSGlenn Murphy
This document is a soil map of an 80-acre area of interest in Kemper County, Mississippi. The map legend identifies 8 different soil map units that are found within the area, along with their acreage and percentage of the total area. These soils include Kirkville fine sandy loam, Mantachie loam, Ruston fine sandy loam, Savannah fine sandy loam, Smithdale fine sandy loam, Sweatman fine sandy loam, and Sweatman-Smithdale association. The map also provides information on the map scale and source, and an overview of the soil survey for Kemper County, Mississippi.
2. VULNERABILITY ASSESSMENT OF SOIL EROSION USING GEOSPATIAL TECHNIQUESDr. Ravinder Jangra
This study assessed areas vulnerable to soil erosion in the upper catchment of the Markanda River in India using geospatial techniques. The study area experiences high rates of soil erosion due to steep slopes, heavy rainfall, fragile soils and limited vegetation cover. GIS and the analytical hierarchy process (AHP) were used to analyze factors influencing erosion risk - including rainfall, soils, slope, drainage density, land use and vegetation. AHP was used to assign weights to each factor. The weighted factors were then combined through spatial modeling to produce a soil erosion vulnerability map. Field verification confirmed the model's identification of erosion and deposition features like gullies, bars and siltation. The map can help prioritize soil conservation efforts.
In the agroecological zone of the Biemso basin in the Ashanti Region of Ghana, soil erodibility
and rainfall erosivity patterns were estimated. The study aimed at investigating the temporal
variability of rainfall erosivity using the Fournier Index Method and assessing the soil
erodibility parameters of a Sawah site using the WEPP model. Four plots representing the
major land uses in the area for maize, oil palm, natural vegetation and plantain cultivation
were selected. Results showed that soil organic matter content ranged from 1.95 to 5.52%;
sand ranged from 14.34 to 31.86 %; silt ranged from 31.63 to 68.77%; clay ranged from 16.04
to 20.08% and very fine sand from 3.38 to 8.84%. The derived interrill erodibility (Ki) values
ranged from 44.26 to 51.70 kg s m-4 under all land uses considered at the study site and soils
in the study area were moderately resistant to erosion by raindrops. The derived rill erodibility
(Kr) values ranged from 0.005 to 0.012 s m-1 under all land uses considered at the study site.
Rill erodibility values were higher at the foot slopes under all land uses except under Oil Palm
land use. Rainfall values exceeded the 20-25 mm threshold value for erosive rains. Erosivity
values determined for the study site revealed a moderate erosion risk in the major rainy season
(April-July); low erosion risk in the minor rainy season (August-October ) and very low erosion
risk in the dry season (November-March). It is recommended that soil and land management
practices that would reduce water erosion during the major rainy season should be implemented
such as bunding, mulching and contour farming.
A high-resolution spatially-explicit methodology to assess global soil organi...ExternalEvents
This presentation was presented during the 1 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Luuk Fleskens from Soil Physics and Land management Group – Wageningen University, in FAO Hq, Rome
This document discusses the use of base maps in soil surveys. It defines a base map as a map that provides fundamental geographic information that can be overlaid with additional data. The document then describes several common types of base maps used in soil surveys, including line maps, cadastral maps, planimetric maps, and topographic maps. Each base map type provides different levels of geographic detail and features.
2012 10-12 seoul unmyongsan comments(fukuoka, japan)kysnyou
1. The document discusses a 2011 landslide disaster in Unmyong-san, South Korea and provides comments from an expert on landslides.
2. It notes that thick colluvial deposits and a shallow groundwater table suggest high landslide risk for the area. Early warning systems could have helped save lives even if the disaster itself was unavoidable.
3. The document also discusses methods for studying landslides including using remote sensing to identify old landslide scars and comparing pre- and post-disaster data to estimate landslide volumes. Artificial rainfall experiments and shear tests help understand landslide initiation and evolution mechanisms.
This document discusses using geochemical data to generate exploration targets on a low budget. It provides average costs for different types of geochemical surveys and regulatory minimum expenditures. It also describes how statistical analysis of geochemical data can be used to reduce noise, identify element associations and contamination factors, extract regional geology factors, and vector towards mineralization, outlined with two case studies analyzing lake sediment and moss data.
Biochar application had no effect on reducing nitrous oxide emissions from synthetic nitrogen fertilizer. However, biochar increased soil carbon levels compared to native soil carbon. While total carbon dioxide equivalents emitted did not differ between treatments, biochar emitted less carbon dioxide equivalents per unit of soil carbon accumulated. Grain yield and the ratio of grain production to carbon dioxide equivalents emitted did not significantly differ between treatments. Rice production varied between seasons due to biotic factors like weed infestation and rice blast disease.
Is an expert-based model able to map erosion in agricultural catchment?ExternalEvents
This document evaluates an expert-based erosion model called LandSoil in its ability to map erosion in an agricultural catchment area. The model was tested on a study area from 2014-2016 and results were compared to field measurements of runoff, erosion, and deposition. The model was able to account for 92% of erosivity and showed close correspondence with measured runoff volumes. Comparisons of modeled and measured erosion and deposition using graduated rulers also showed satisfying results, though with high standard deviations. The model analysis suggested that while field boundaries had little impact on erosion amounts, they did influence sediment transport. Grass and wood strips were found to effectively deposit sediment through reduced runoff speeds.
This project analyzed stormwater runoff for a 100-year storm event in the Bear Island Creek watershed before and after a hypothetical land development. Currently, the land usage includes timber, brush/grass, and agriculture. The proposed development would convert some forest and farmland to residential lots, a disc golf course, and a parking lot. Modeling found total runoff would increase from 3.69 cfs currently to 4.82 cfs after development, and peak runoff would rise slightly from 30.77 cfs to 29.01 cfs. The increased runoff occurs because development reduces infiltration by replacing permeable surfaces with impermeable structures and pavement. A hydrograph shows the changes in runoff rate over time before and after
Basin modeling of the Permian Basin in West Texas provides insight into undiscovered hydrocarbon resources through integration of subsurface data. High resolution 3D modeling of local geology yields improved regional understanding of fluid migration pathways. Integrating legacy well data and published structure maps digitally into basin models aids in characterization of tight reservoir systems and identification of previously unseen hydrocarbon traps.
Edoardo Costantini-Impact of climate change and management of soil characteri...Fundación Ramón Areces
El 17 de abril de 2015 la Fundación Ramón Areces se unió a la celebración del Año Internacional de los Suelos con la jornada 'El suelo como registro ambiental y recursos a conservar'. En ella, se abordó desde una perspectiva multidisciplinar su estado de conservación.
Integrated hydro-geological risk for Mallero basin (Alpine Italy) – part 1: g...Alireza Babaee
Presentation of project in the course " Hydro-Geological Risks in Mountain Area (Geological Assessment Part)" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Maryam Izadifar, Alireza Babaee
Submitted to:
Professor Laura Longoni
Integrated hydro-geological risk for Mallero (Alpine Italy) – part 1: geologyMaryam Izadifar
Presentation of project in the course " Hydro-Geological Risks in Mountain Area (Geological Assessment Part)" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Maryam Izadifar, Alireza Babaee
Submitted to:
Professor Laura Longoni
This document discusses concepts related to soil mechanics including:
- Definitions of terms used to describe soil properties such as void ratio, porosity, degree of saturation, specific gravity, and volumetric water content.
- Methods for determining properties like liquid limit and plastic limit that are used in soil classification systems.
- Factors that influence shear strength parameters including drained versus undrained conditions.
- Typical ranges of undrained and drained shear strength parameters.
Distribution and mobility of lead and zinc atmospheric depositions in industr...INFOGAIN PUBLICATION
This document summarizes a study on the distribution and mobility of lead and zinc in soils near an industrial foundry in Tiaret, Algeria. Samples were taken from 35 soil sites within 2 parcels near the foundry. Analysis found lead levels varied from 0-13.7 ppm and zinc from 0-21.96 ppm depending on soil properties. The study found lead and zinc mobility correlated positively with pH, limestone content, and each other, but negatively with cation exchange capacity. Higher pH, limestone, and moisture increased heavy metal solubility by forming complexes while fine particles promoted dispersion. The results indicate soil properties significantly influence heavy metal distribution from atmospheric depositions near industrial areas.
Building Soil Carbon: Benefits, Possibilities, and ModelingCarbon Coalition
Dr Jeff Baldock, from CSIRO Land & Water, is a central figure in soil carbon science in Australia. His views count because they indicate the centre of gravity in official thinking, such is his influence. Jeff is a mentor and a friend of the soil carbon movement.
Revised Universal Soil Loss Equation 2 (RUSLE2) is a computer-based erosion prediction model used to estimate soil erosion rates caused by water on agricultural lands. It is an updated version of the original RUSLE (Revised Universal Soil Loss Equation) developed by the United States Department of Agriculture (USDA) in the 1960s. RUSLE2 was developed to incorporate advancements in technology, data availability, and erosion science, making it a more comprehensive and accurate tool for predicting soil erosion.
Calibration and validation of an USLE model to map soil erosion by water in t...Stankovic G
Maria Fantapié, CREA-AA (Florence, Italy), Eduardo A.C. Costantini and Simone Priori. Global Symposium on Soil Erosion (GSER19), 15 - 17 May 2019 at FAO HQ.
Environmental Impact mining Jiu RomaniaRemco van Ek
The document summarizes the environmental impacts of mining and energy production in the Jiu river basin in Romania. It describes characteristics of the river basin, impacts from human activities like agriculture, mining and power plants. Mining and power production are important economically but degrade the environment through air, soil, and water pollution. Historic pollution remains an issue. Climate change may exacerbate problems. Protection of soil and water resources is important for future economic development and adaptation.
2. VULNERABILITY ASSESSMENT OF SOIL EROSION USING GEOSPATIAL TECHNIQUESDr. Ravinder Jangra
This study assessed areas vulnerable to soil erosion in the upper catchment of the Markanda River in India using geospatial techniques. The study area experiences high rates of soil erosion due to steep slopes, heavy rainfall, fragile soils and limited vegetation cover. GIS and the analytical hierarchy process (AHP) were used to analyze factors influencing erosion risk - including rainfall, soils, slope, drainage density, land use and vegetation. AHP was used to assign weights to each factor. The weighted factors were then combined through spatial modeling to produce a soil erosion vulnerability map. Field verification confirmed the model's identification of erosion and deposition features like gullies, bars and siltation. The map can help prioritize soil conservation efforts.
In the agroecological zone of the Biemso basin in the Ashanti Region of Ghana, soil erodibility
and rainfall erosivity patterns were estimated. The study aimed at investigating the temporal
variability of rainfall erosivity using the Fournier Index Method and assessing the soil
erodibility parameters of a Sawah site using the WEPP model. Four plots representing the
major land uses in the area for maize, oil palm, natural vegetation and plantain cultivation
were selected. Results showed that soil organic matter content ranged from 1.95 to 5.52%;
sand ranged from 14.34 to 31.86 %; silt ranged from 31.63 to 68.77%; clay ranged from 16.04
to 20.08% and very fine sand from 3.38 to 8.84%. The derived interrill erodibility (Ki) values
ranged from 44.26 to 51.70 kg s m-4 under all land uses considered at the study site and soils
in the study area were moderately resistant to erosion by raindrops. The derived rill erodibility
(Kr) values ranged from 0.005 to 0.012 s m-1 under all land uses considered at the study site.
Rill erodibility values were higher at the foot slopes under all land uses except under Oil Palm
land use. Rainfall values exceeded the 20-25 mm threshold value for erosive rains. Erosivity
values determined for the study site revealed a moderate erosion risk in the major rainy season
(April-July); low erosion risk in the minor rainy season (August-October ) and very low erosion
risk in the dry season (November-March). It is recommended that soil and land management
practices that would reduce water erosion during the major rainy season should be implemented
such as bunding, mulching and contour farming.
A high-resolution spatially-explicit methodology to assess global soil organi...ExternalEvents
This presentation was presented during the 1 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Luuk Fleskens from Soil Physics and Land management Group – Wageningen University, in FAO Hq, Rome
This document discusses the use of base maps in soil surveys. It defines a base map as a map that provides fundamental geographic information that can be overlaid with additional data. The document then describes several common types of base maps used in soil surveys, including line maps, cadastral maps, planimetric maps, and topographic maps. Each base map type provides different levels of geographic detail and features.
2012 10-12 seoul unmyongsan comments(fukuoka, japan)kysnyou
1. The document discusses a 2011 landslide disaster in Unmyong-san, South Korea and provides comments from an expert on landslides.
2. It notes that thick colluvial deposits and a shallow groundwater table suggest high landslide risk for the area. Early warning systems could have helped save lives even if the disaster itself was unavoidable.
3. The document also discusses methods for studying landslides including using remote sensing to identify old landslide scars and comparing pre- and post-disaster data to estimate landslide volumes. Artificial rainfall experiments and shear tests help understand landslide initiation and evolution mechanisms.
This document discusses using geochemical data to generate exploration targets on a low budget. It provides average costs for different types of geochemical surveys and regulatory minimum expenditures. It also describes how statistical analysis of geochemical data can be used to reduce noise, identify element associations and contamination factors, extract regional geology factors, and vector towards mineralization, outlined with two case studies analyzing lake sediment and moss data.
Biochar application had no effect on reducing nitrous oxide emissions from synthetic nitrogen fertilizer. However, biochar increased soil carbon levels compared to native soil carbon. While total carbon dioxide equivalents emitted did not differ between treatments, biochar emitted less carbon dioxide equivalents per unit of soil carbon accumulated. Grain yield and the ratio of grain production to carbon dioxide equivalents emitted did not significantly differ between treatments. Rice production varied between seasons due to biotic factors like weed infestation and rice blast disease.
Is an expert-based model able to map erosion in agricultural catchment?ExternalEvents
This document evaluates an expert-based erosion model called LandSoil in its ability to map erosion in an agricultural catchment area. The model was tested on a study area from 2014-2016 and results were compared to field measurements of runoff, erosion, and deposition. The model was able to account for 92% of erosivity and showed close correspondence with measured runoff volumes. Comparisons of modeled and measured erosion and deposition using graduated rulers also showed satisfying results, though with high standard deviations. The model analysis suggested that while field boundaries had little impact on erosion amounts, they did influence sediment transport. Grass and wood strips were found to effectively deposit sediment through reduced runoff speeds.
This project analyzed stormwater runoff for a 100-year storm event in the Bear Island Creek watershed before and after a hypothetical land development. Currently, the land usage includes timber, brush/grass, and agriculture. The proposed development would convert some forest and farmland to residential lots, a disc golf course, and a parking lot. Modeling found total runoff would increase from 3.69 cfs currently to 4.82 cfs after development, and peak runoff would rise slightly from 30.77 cfs to 29.01 cfs. The increased runoff occurs because development reduces infiltration by replacing permeable surfaces with impermeable structures and pavement. A hydrograph shows the changes in runoff rate over time before and after
Basin modeling of the Permian Basin in West Texas provides insight into undiscovered hydrocarbon resources through integration of subsurface data. High resolution 3D modeling of local geology yields improved regional understanding of fluid migration pathways. Integrating legacy well data and published structure maps digitally into basin models aids in characterization of tight reservoir systems and identification of previously unseen hydrocarbon traps.
Edoardo Costantini-Impact of climate change and management of soil characteri...Fundación Ramón Areces
El 17 de abril de 2015 la Fundación Ramón Areces se unió a la celebración del Año Internacional de los Suelos con la jornada 'El suelo como registro ambiental y recursos a conservar'. En ella, se abordó desde una perspectiva multidisciplinar su estado de conservación.
Integrated hydro-geological risk for Mallero basin (Alpine Italy) – part 1: g...Alireza Babaee
Presentation of project in the course " Hydro-Geological Risks in Mountain Area (Geological Assessment Part)" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Maryam Izadifar, Alireza Babaee
Submitted to:
Professor Laura Longoni
Integrated hydro-geological risk for Mallero (Alpine Italy) – part 1: geologyMaryam Izadifar
Presentation of project in the course " Hydro-Geological Risks in Mountain Area (Geological Assessment Part)" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Maryam Izadifar, Alireza Babaee
Submitted to:
Professor Laura Longoni
This document discusses concepts related to soil mechanics including:
- Definitions of terms used to describe soil properties such as void ratio, porosity, degree of saturation, specific gravity, and volumetric water content.
- Methods for determining properties like liquid limit and plastic limit that are used in soil classification systems.
- Factors that influence shear strength parameters including drained versus undrained conditions.
- Typical ranges of undrained and drained shear strength parameters.
Distribution and mobility of lead and zinc atmospheric depositions in industr...INFOGAIN PUBLICATION
This document summarizes a study on the distribution and mobility of lead and zinc in soils near an industrial foundry in Tiaret, Algeria. Samples were taken from 35 soil sites within 2 parcels near the foundry. Analysis found lead levels varied from 0-13.7 ppm and zinc from 0-21.96 ppm depending on soil properties. The study found lead and zinc mobility correlated positively with pH, limestone content, and each other, but negatively with cation exchange capacity. Higher pH, limestone, and moisture increased heavy metal solubility by forming complexes while fine particles promoted dispersion. The results indicate soil properties significantly influence heavy metal distribution from atmospheric depositions near industrial areas.
Building Soil Carbon: Benefits, Possibilities, and ModelingCarbon Coalition
Dr Jeff Baldock, from CSIRO Land & Water, is a central figure in soil carbon science in Australia. His views count because they indicate the centre of gravity in official thinking, such is his influence. Jeff is a mentor and a friend of the soil carbon movement.
Revised Universal Soil Loss Equation 2 (RUSLE2) is a computer-based erosion prediction model used to estimate soil erosion rates caused by water on agricultural lands. It is an updated version of the original RUSLE (Revised Universal Soil Loss Equation) developed by the United States Department of Agriculture (USDA) in the 1960s. RUSLE2 was developed to incorporate advancements in technology, data availability, and erosion science, making it a more comprehensive and accurate tool for predicting soil erosion.
Calibration and validation of an USLE model to map soil erosion by water in t...Stankovic G
Maria Fantapié, CREA-AA (Florence, Italy), Eduardo A.C. Costantini and Simone Priori. Global Symposium on Soil Erosion (GSER19), 15 - 17 May 2019 at FAO HQ.
Environmental Impact mining Jiu RomaniaRemco van Ek
The document summarizes the environmental impacts of mining and energy production in the Jiu river basin in Romania. It describes characteristics of the river basin, impacts from human activities like agriculture, mining and power plants. Mining and power production are important economically but degrade the environment through air, soil, and water pollution. Historic pollution remains an issue. Climate change may exacerbate problems. Protection of soil and water resources is important for future economic development and adaptation.
The CarboZALF-D manipulation experiment – experimental design and SOC patternsAgriculture Journal IJOEAR
This document describes the design and preliminary results of the CarboZALF-D manipulation experiment, which aims to study carbon dynamics and balances under simulated soil erosion conditions. The experiment involves removing topsoil from a moderately eroded plot and adding it to a depositional plot, while replacing the removed topsoil with clay-enriched subsoil material. Soil properties were measured before and after the manipulation to assess changes in bulk density, soil organic carbon content, and carbon stocks. Preliminary results show the manipulation was largely successful in establishing the targeted soil conditions.
This document summarizes a regional hydrogeological study of the Bakken Formation in the Canadian region. It analyzes data on structure, hydraulic head, water chemistry, and pressure to generate maps showing groundwater flow direction, total dissolved solids distribution, and driving forces. It also uses a UVZ method to identify possible sites of hydrocarbon entrapment based on formation density, with light oil likely trapped at more locations than heavier oil. The study provides insight into the groundwater system and potential petroleum accumulations in the Canadian portion of the Bakken Formation.
The document discusses the need for improved field methods to quantify soil erosion and re-deposition. It proposes a new mesh pad method that can be applied at the field scale without obstructing natural runoff. The method involves installing mesh pads marked the soil surface to sample re-deposited soil over time. A field study applying this method found soil re-deposition was far greater than losses, with organic matter and nutrients typically redeposited nearby. The mesh pad method was found to effectively quantify both re-deposition and losses without biases, providing valuable data for soil conservation.
2015 CDA-Frederickhouse Erosion Controlshiqiang Ye
This document summarizes the bank erosion control measures implemented at the Frederickhouse Dam in Ontario. Significant erosion was undercutting the 28m high left bank downstream of the dam due to turbulent discharge. Monitoring after a large landslide identified the need to stabilize the slope. Tests were conducted to determine soil properties, and a Flow-3D model was used to simulate flow patterns and evaluate design options. The final design included a stabilizing berm and armourstone riprap to arrest further erosion and meet safety standards, with construction completed in 2014.
Status of Soil Resources in Lebanon By Roger FrancisFAO
This document summarizes the status of soil resources in Lebanon. It discusses early and more recent soil studies that mapped soils and examined properties like salinity, erosion, pollution, and degradation. Soil information has been updated, but natural factors like steep slopes and human activities like deforestation, improper agriculture, and quarrying continue to degrade soils. Challenges include a lack of policies to protect soils from sealing, salinity, contamination and erosion. Capacity building efforts are needed in soil monitoring, management, and promoting sustainable agricultural practices.
Application of the EUROSEM model in drainage basins in areas of the Valencian...ExternalEvents
The EUROSEM model was applied to three drainage basins in Valencia, Spain to study erosion problems and evaluate soil losses under current and changed conditions. Topography was represented using GIS and a digital elevation model. The basins were divided into homogeneous elements based on slope, geology, soils, and vegetation. Model results showed infiltration, runoff, and erosion/sedimentation values. Applying the model with heavy rain scenarios showed increased erosion risk and soil loss tripling, demonstrating how weather changes can worsen erosion in drainage basins.
This document summarizes a study that examined variations in PM10 (particulate matter smaller than 10 micrometers) fluxes from desert soils in Israel's Negev region due to different surface compositions and topsoil disturbance. Field experiments using a boundary layer wind tunnel measured PM10 emissions from plots with sparse vegetation cover, rock fragments, and a mechanical crust under natural and disturbed soil conditions at different wind speeds. The results showed PM10 fluxes ranging from 9.5 to 524.6 mg/m2/min and higher emissions from disturbed soils. Surface composition and increased wind velocity significantly affected PM10 fluxes. The findings provide insights into dust emissions from complex desert surfaces.
Similar to Resilience of red ferralitic soils in the Karst regions of Mayabeque province, Cuba (20)
The ICRAF Soil-Plant Spectral Diagnostics Laboratory in Kenya operates 1 spectral reference laboratory and provides technical support to 30 labs in 17 countries. It has helped build capacities for private mobile testing services and is working on developing handheld near-infrared spectrometers. The lab specializes in customized solutions, standard operating procedures, project planning, soil and plant health monitoring, and spectral technology support and training. It aims to improve end-to-end spectral advisory software and develop low-cost handheld devices. Through GLOSOLAN, the lab hopes to standardize dry spectroscopy methods, protocols, and data analysis globally.
The National Soil Testing Center (NSTC) in Ethiopia has 18 soil analysis laboratories in various government ministries. The presenter, Fikre Mekuria, notes that the NSTC's strengths are its analytical service delivery, training, and research on soil microbiology and fertility. Areas for improvement include capacity building, sample exchange/quality control, and accreditation to international standards. The presenter's expectations for the meeting and GLOSOLAN network are to develop competency in soil/plant/water/fertilizer analysis, have periodic country member meetings, and share experiences.
Standard operating procedures (SOPs) are important to have in writing to ensure quality and consistency. Quality assurance (QA) policies aim to prevent errors and ensure standards, while quality control (QC) checks that standards are being met. This poster exercise divides participants into groups to discuss why SOPs are important, what quality assurance entails, whether an organization has a QA policy and how it is implemented, and how quality control is performed.
This document provides an overview of the status of soil laboratories in AFRILAB based on information received from various sources, including ZimLabs, AgLabs, the University of Zimbabwe lab, University of Nottingham, British Geological Survey, Chemistry and Soil Research Institute RS-DFID, WEPAL-ISE, WEPAL-IPE, University of Texas A&M, AgriLASA, BIPEA, CORESTA, University of Texas A&M (who provided testimony of satisfaction), and TUNAC (who provided accreditation). The document thanks the reader for their attention.
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SOIL ATLAS OF ASIA
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2. RESILIENCE OF RED FERRALITIC SOILS IN THE
KARST REGIONS OF MAYABEQUE PROVINCE, CUBA
2
José Manuel Febles González
University of Havana
febles@rect.uh.cu
3. 3
This work has as background the publication of the following articles
1. Application of the CORINE methodology and the MMF model in karst and
heights environments.
4. Future scenarios of the degradation of Red Ferralitic soils by erosion.
3. Pollution of Red Ferralitic soils..
2. Relation among the processes of erosion – sedimentation - pollution in
soilsof Cuba.
5. Good soils in extinction: The degradation of Red Ferralitic soils In Western
Cuba
6. Resilience of Red Ferralitic soils in the karst regions of Mayabeque
Province, Cuba.
4. 4
Erosion
categories
Area en
Km2
% of the
territory
national
Strong erosion 29 671.95 27,64
Medium erosion 20 243.56 18,63
Mild erosion 26 803.80 24,96
76 719.31
71,23
(All the mechanisms … )
CUBA MAP OF SOIL EROSION
13. Filling with 20 trucks of
6 ton of soils each (2003)
DYNAMIC PROCESS EROSION - SEDIMENTATION -
POLLUTION - SOILS AND WATER
14. 0
30
53
0
28
40
0
30
40
(Without apparent erosion)
(Slightly eroded)
(Slightly eroded)
Tipic yellowish leached
(Hernández, 1999)
Ponor
PAROXYSMAL PHASE OF THE KARSTIC - EROSIVE PROCESS
Erosion by areal and
linear runoff
φ = 1,8 %
H =112,05 m
φ = 4,40 %
H =11O,15 m
φ = 6,7 %
H= 105 m
C2
C1
NW SE
SURFACE EROSION = RAIN + RUNOFF
Subsuperficial erosion
Vertical erosion = leaching + washed
EROSION PROCESS - SEDIMENTATION - SOILS AND WATER
POLLUTION
Eutric Red Ferralitic soil
15. 15
Doline
No.
Scenario 1986 – 2009 C1(no apparent erosion)
Horizon A(0 – 490 mm)
Soil loss (t ha-1
year-1
)
1986 1997 2009 Media C.V. (%)
1 15,957 17,820 17,649 17,227 5,97
2 17,631 16,917 20,208 18,460 9,37
3 21,357 22,128 23,613 22,554 5,08
4 14,847 14,244 14,262 14,442 2,37
5 10,011 8,355 11,910 10,345 17,19
6 9,390 9,729 10,425 9,876 5,34
7 10,686 17,142 12,042 13,894 24,50
8 12,024 10,029 12,381 11,566 10,95
9 9,012 10,143 10,668 10,142 8,34
10 10,725 11,514 12,306 11,580 6,82
11 16,068 20,226 19,419 18,885 11,67
12 13,038 13,077 14,319 13,548 5,38
13 16,653 18,120 18,816 17,970 6,14
14 10,275 11,628 13,038 11,814 11,69
15 --- --- 14,073 --- ---
16 --- --- 36,897 --- ---
MeanMean 12,32912,329 13,29213,292 13,70713,707 --- ---
Soil loss in dolines applying the MMF model (Morgan et al. 1984;
Morgan, 2001) at “Rosafé Signet” and “Aljibe”
Note: The numbers in red exceed the limits of torability of 12,5 t ha-1
year-1
16. 16
CHARACTERISTIC
Formation rates
(mm yr-1
)
equivalent to k
REFERENCES
Under normal agricultural practices. 0.25 Pimentel et al. (1995)
- Age of limestone eluviums in the South Plain of the Mayabeque and Artemisa provinces
-
Derived from rocks with 10% impurities it
takes a million years to reach 15 m depth.
Derivatives of limestones with 1%
impurities, it would take about two million
years to reach two meters deep.
0.05
0.01
Iturralde (1972)
Camacho (1980) y
Ortega (1984)
Values selected for soil formation speed k
17. 17
The equation by Kay et al. (1994) was used to calculate resilience as follows:
S(t) = S0
+ DSmax(1 − exp−k (t –t1)
)
Where S0
(mm) is the value of S when a new use of the soil starts,
t = starting time,
DSmax is the maximum change predicted in S,
k (mm yr-1
) is the rate constant
t1 is the time since introduction of the new soil use during the measurement
period (t = 0).
20. 20
Years
S(t)(mm)
Pimentel et al (1995)
K = 0.25
Iturralde(1972)
K = 0.05
Camacho (1980) y Ortega (1984)
K = 0.01
1 109,47 24,98 5,95
10 450,87 193,89 47,71
50 490,00 450,87 193,89
100 --- 487,80 310,83
150 --- --- 381,76
300 --- --- 466,70
600 -- --- 489,88
As result, the calculation of the resilience (S(t)) of Red Ferralitic
soils with different formation speed constants (k)
22. 22
Resilience of Red Ferralitic soils in the Rosafé Signet
and Aljibe localities, Mayabeque Province, Cuba
S(t)
= (1,078 + 490,02 (1 - exp(k*years)
))/490,2)∙100
23. 23
Conclusions
The resilience of Red Ferralitic soils is the result of a multifactorial
process conditioned not only by intrinsic properties of the soil
cover, but depending on geological-geomorphological and use
conditions with a unidirectional evolution of the karstic
morphogenesis practically unpublished in the pedological
literature.
The Red Ferralitic soil under normal agricultural practices would
take about 50 years to return to its original condition and
depending on the amount of limestone impurities, this period could
last from 100 to 600 years.