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Soil Erosion - Science topic

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NEW TRENDS IN SOIL EROSION PREVENTION :
Vermicompost applications in grape growing are gradually increasing. However, the rate of application for cover plants is low. Also, the relationship between the two is very important to prevent soil erosion. I am ready if there is an international study offer on these issues. Shall we make an international project or a joint project involving these issues?
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Vermicompost and cover crops eliminate the chances of soil erosion by manipulating the soil physical conditions and sometimes biological behaviour as fast growing crops with vigorous spreading habits(quick covering soil surface) protect the soil from beating action of rain drops thereby lesser chances of detachment of soil particles (first step, to get soil eroded). Cover crops provide shield and hence avoid the chances of destruction of soil aggregation whereby soil particles get disintegrated and are prone to be transported via either water flow or wind movement or both(wave erosion).. For instance, pulse crops are generally erosion resistant crops while tall crops with less canopy cover are erosion sensitive crops ..On the other hand, vermicompost application leads to the appreciable microbial mass following secretion of polysaccharide and mucilages (aggregates making substances or binding substances), results in good aggregation, reduction in bulk density with lesser chances of detachment of soil particles, resist erosion.....
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I am trying to find the factor K value of some soil samples using soil texture only, but sadly you need to also know the % of soil organic matter. The only data I have is only the % of silt, sand and clay. Is there any way I can do to estimate the organic matter in my soil?
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We can gaze qualitatively (high, medium, low etc.) about the organic matter content in soil according to the soil texture. But we can't quantify the OM content of soil on the basis of soil texture.
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Depending on the wind speed, the soil particles will be defilated. Depending on the wind speed, how much soil defilation will occur? What are the levels of this?
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There are three basic steps by which soil get eroded viz. Detachment; Transportation and Deposition....First step is detachment, which depends on soil physical conditions and aggregation..If soil is of heavy textured (clayey small sized particles) soil would be prone to get detached by wind ... Higher the wind speed, more the detachable soil mass and vice versa... Second step is Transportation which is more if higher wind velocity is prevailing...If soil particles and aggregates are susceptible to detachment, then higher wind velocity will cause severe losses...If soil's aggregation is poor, then higher wind velocity will cause detachment and then transportation... Detachment process again depends on type of vegetation growing; organic matter present in the soil; soil texture; and also soil mechanical impedance...If soil is predominantly collapsed with more fraction of sand, then slow wind speed will not transport the detached mass... Further, in general, higher the wind speed, more the chances of soil detachment following transportation and then deposition of detached transported soil mass to different place...It is well conceptualized that deserts are the result of wind erosion following deposition of the soil mass that is predominant in sandy fractions..m
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some literature considers soil erosion as the source of GHG emissions, particularly, CO2 and N2O while others mention soil erosion as a sink for GHG, so I want to be clear on that issue.
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Have a look at this useful RG link.
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Kind request to receive some templates on interviews, surveys, questionnaires for the fieldwork related to the Impact of land-use changes on soil erosion intensity?
We are planning to use standard methodologies for the assessment of Soil erosion on the field. In addition to that, we will use some photo materials (repeat photography), google maps, google earth...
We are looking for some good examples you implemented earlier for collecting data using interview techniques, questioners, working with Focus Groups.
It is not a problem to include interested parties to be with our team one of the authors, being interested to participate in the preparation of the interview techniques, questioners, working with Focus Groups (online ZOOM with us); including the analysis of the received inputs.
Looking forward to your reply,
Dr. Sc. Velibor SPALEVIC
1, Novaka Miloseva, 81000 Podgorica, Montenegro
Mobile/Viber/WhatsApp: +382 67 201 222
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Dear Dev,
I am happy you are interested. As soon as we collect all the necessary materials, I will call you.
Velibor
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In the method I know the water colected at the end of the plots must be dried and then wheighted for us to obtain the mass.
Is there a route in wich we don't need to dry the samples?
I am aware of LASER, topic/surface and other approaches applied in erosion plot scales, but I'm interested in keep using the samples of water + soil.
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You might get a few ideas from a couple of our papers, Hazel Pistol Erosion Plots and Sediment from a Small Gully (not exact titles) in Researchgate. One must find suitable way to separate sediment from the typically large amount of water. Filtration is one approach, separating coarse sand and larger particles from the fine sediments and taking samples of the suspended mix and filtering and drying is another.
If the samples are taken during the storm hydrograph, such as grab samples, or proportional samples taken when wading the cross section, it can be difficult to get appropriate sampling in fast changing conditions. The filter fabric fences in the small gully article, filters the sediment +water mix, leaving the sediment to be volumetrically sampled, dried and weighed.
For fine sediment concentrations, you might be able to calibrate sample measurements of filtered and dried samples with preprocessed turbidimeter readings. Turbidimeters would not capture particles that settle quickly, and some refraction of light interference from organic particles, etc. If no access to ovens to dry samples in remote field studies, you might try constructing solar oven, or developing procedure of calibrating wet weights of filtered samples with dry weights.
There are all sorts of potential error in this type work. Recognizing this, it’s best to stick with standard approaches, or at least do some cross checking between standard and method adjustments used, and those variants fully described.
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Hi all,
I assessed soil erosion in a study catchment by using the EPM model, currently, I would like to write a scientific paper that includes a comparison between two models for assessing soil erosion. Which model do you think is suitable with the EPM model and on what basis were you chosen for it.
Thanks in advance.
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Actually , I want to measure soil erosion, soil loss and soil erosivity of a particular region/country.
However, I haven't sound knowledge about this model but i want to learn and work with this model.
Advance thanks.
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We use MMF-Saga module for erosion assessment with Saga Gis in agricultutral watershed near the city of Le Mans in France. We produces all the parameters required by field surveys, bibliography and laboratory. The model gives us results for "Runoff" section with grid of runoff and its deratives wich are consistent with other models we used and local bibliography from close experimental watersheds. However, the "soil loss" section does not run correctly and the grids of "soil loss" is empty wit "#inf" value. All the parameters are in range values or units required by the model and consistent with other examples from bibliography. Someone ever encountered this problem ? We work with Saga Gis 6.0.0 and 7.0.0 and a screenshot of main results are in attachment.
Thanks a lot,
Cordially.
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Dear We have encountered the same problem, I wonder if you have solved it.
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I wanted to know about the details of the present soil erosion problem in croplands within Caraga Region in order to assess the land suitability for reproduction of crops. I was planning on using photogrammetric method on assessing the land elevations, and remote sensing for assessing the soil moisturization.
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İt is not easy to find a data on soil erosion. Instead of, you may calculate erosion using USLE equation. USLE approach may be generic, but can be very useful to understand nature of the erosion.
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What is the opinion of researchers who work with no-tillage?
Do conservation techniques such as No-tillage, Conservation practices, isolated, fight soil erosion?
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Dear Oswaldo,
This is a good question. In my opinion the combination of these two concepts in agriculture can provide a nature-based solution specially for areas with limited agricultural surfaces and increasing populations. But we should always pay attention to the soil attributes and physical structure of the field area, then we make our decision whether this is a good idea to have such combination or not. I hereby attach three recent publications: first about the role of terraced fields in conserving water, soil nutrients and SOC and evaluating the soil erodibility, second importance of no-tillage adoption, third long-term fertilization evaluation on carbon sequestration on terrace soil.
Best, Elaheh
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Soil erosion estimation
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Dear Dawood,
Here is the history of the model:
G2 model has three modules: G2los (for soil loss), G2sed (for sediment yield) and G2met (for heavy metals).
G2 model is a new model for erosion, resulting from the cooperation of the Joint Research Centre/SOIL project and the Lab of Forest Management and Remote Sensing, School of Agriculture, Forestry and Natural Environment of the Aristotle University of Thessaloniki in the framework of  geoland2 project.
The model inherits the experience of R-USLE and EPM and has been developed and revised through five consecutive case studies, with a steady view to serve as an effective decision-making tool based on harmonized datasets and procedures. Indicative examples of harmonized and ready-to-use geospatial datasets, which at the same time meet the requirements of G2, include Rainfall Erosivity Database at European Scale (REDES), Global Rainfall Erosivity Database (GloReDa), Copernicus vegetation layer FCover, CORINE Land Cover, Copernicus High Resolution Layer HRL-Imperviousness, LUCAS topsoil, ASTER-GDEM, EU-DEM, Sentinel 2 imagery, etc.
It was introduced in 2010 (G2los) in the framework of geoland2 project (GMES, now COPERNICUS); later, G2sed and G2met were accomplished.
It adopted equations from R-USLE (Wischmeier & Smith), EPM (Gavrilovic), and PERI (Hakanson).
It gets input from standard big geodatabases (BIOPAR, CORINE, ESDB, LUCAS-Soil, EuroDEM, Sentinel-2), etc.
Regards
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I would like to know whether the observed scour terminology reflects the local scour depth or contraction scour depth or ultimate scour depth?
I would appreciate it if anybody could share academic documents regarding my question.
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Dear Mostafa,
If you are studying the scour downstream of a hydraulic structure or bridge pier, the maximum scour depth is the most important parameter. The maximum scour depth is not necessarily observed at the end of the experiment. If you continue an experiment for a long time (for example 24 hours) and measure the time development of the scour profile, you can see when the scour reaches equilibrium conditions. I think when the scouring reaches equilibrium, the maximum scour depth is achieved.
I have attached a useful manuscript in this area.
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During dry weather or in the semi-arid regions, the minute soil particles are carried away by the wind or water to far-away lands. This degrades the soil and results in desertification. So can we conclude desertification as a type of soil erosion?
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This is one of the causes of desertification
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Recently, I have studied the impact of land surface temperature (LST) on an important soil erosion factor the cover management factor (C factor). My study was on the winter season. It shows a negative relationship between LST and the C factor.
What do you think?
article link-
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There is different factors are acting on soil erosion: USLE equation: A = R K (LS) C P. In the case of relationship between LST and C factors, there is indirect relation each other.
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I have worked on RUSLE model and collected all the required data from flied survey and lab analysis.
But now I am stuck in Data validation process.
Please suggest the procedure to do it.
Thank you
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Hydrologist, agricultural scientist, Geographer
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How to calculate Kinetic energy using monthy cummulative rainfall data
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Increased runoff under the influence of hydrophobia.
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This is a good question.
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I need information about success stories and effectiveness of these two nuclear/ isotopic techniques i.e. Fallout radio-nucloids (FRNs) and CSSI in soil erosion monitoring and source identification.
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This is a good question.
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We think to test this hypothesis in Morocco within our research project, but we wonder if the error in the absolute altitude could prevent from using these data to this goal.
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Dear Linh
are you interested in using radar data for soil erosion survey?
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I would be grateful if you could help me find out one or few case studies in the Pacific region where soil erosion in pineapple fields is efficiently managed.  As part of a regional project (www.spc.int/resccue) dedicated to integrated coastal zone management  in the Pacific region, I would like to identify few case studies where soil erosion in pineapple fields is correctly managed in order to organize a technical exchange between pineapple producers in French Polynesia and producers in other places of the Pacific region.
Many thanks for your answer.
Do not hesitate to contact me if you need further information.
Best,
Mr CHARLES mahe / RESCCUE project coordinator in French Polynesia
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This is a good question.
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Here I given 2 fromula for soil erodibility K factor.
Which formula is in metric units?
K = 2.1 x 10-6 x M1.14 (12-a) + 0.0325 (b-2) + 0.025 (c-3)
K = 2.8 x 10-6 x M1.14 (12-a) + 0.043 (b-2) + 0.033 (c-3)
Kindly guide me.
Thanking you
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This is a good question.
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The work entails tracing erosion in the last 100 years. It is testing the stability of the ecosystem as soil is deposited in various sites in the catchment. What statistical components do I need to look at and what is the most fit model that I can use so that I can analyse my data well?
This work is still at formative stages hence yet to be done. The purpose of the question is to find out from other experts in this area if and how statistics can be used to improve it.
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That is a good question.
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It has been noted in many researches that gully headcuts are main drivers of gully erosion and upstream migration. Most commonly used definitions describe gully headcut as near-vertical step at which most intense erosion occurs, e.g.:
Rengers and Tucker, 2014. - Headcuts are near‐vertical steps that erode the valley network by migrating upstream over time (Bull and Kirkby , 2002) and add mobile sediment to gully channels downstream (Tucker et al. , 2006).
Vanmaercke et al., 2016. - A gully headcut is a natural, nearly vertical drop in gully channel-bed elevation (Poesen et al., 2003).
Since these are predominately descriptive definitions, I would like to know is it possible to delineate quantifiable definition of a gully headut ?
Such definition would be based on measurements that could be extracted from high-resolution DEM (e.g. required slope angle; headcut horizontal length; headcut height…), rather than on the descriptive, non-quantifiable information.
I understand that such definition would vary depending on local terrain characteristics and characteristics of local gully erosion predisposing factors. But even general quantifiable definition would be very helpful for detection of gully headcuts.
In the attachment is large gully headcut from my research study area, located at Pag Island, Croatia. Within Pag Island large number of small headcuts can be found, that are less distinguishable then the one in this picture.
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That is a good question.
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Dear Researchers,
I am working on entitled "surface soil erosion and sediment yield of the watershed with the hydrologic modeling system (HEC HMS)".  And using a method MUSLE to determine sediment yield.  Can you please provide any quick note with detailed descriptions and or tutorials for HEC HMS typically application on surface soil sediment and sediment yield?
Thank you for your swift assistance!
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That is a good question.
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This is especially in context of poverty struck and agricultural dependent regions/population
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Yes. Very Much, and without a doubt!
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Laboratory experiment on soil erosion by frainfall simulator.
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The kinetic energy of raindrops for different fall heights (0.5-2.5 m) in simulated rainfall tests. You can see the effects of the fall heights of raindrops.
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Dear Colleagues,
Kindly guide
Suppose we want to calculate the monetary costs of the sediment retention services provided by natural vegetation for providing the clean drinking water supply to people, how to do that?
Regards
Gowhar Meraj
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Thank you very much for this sharing this essential piece of information.'
Sincerely yours
Gowhar Meraj
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Is there a scientific paper/document that classifies and correlates soil erosion using the SPT/CPT?
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Dear Mostafa,
I am a soil biologist, but I could find an interesting recently published paper about correlation between SPT and PMT for silly soils. I hope it can help you achieve the goals of your request.
Best regards, Elaheh
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Good day Sir/Ma'am, I am one of the researchers and here's is our research study for our thesis: "Spur dike installation against soil erosion along mandulog river". And we are currently having a hard time looking for what software will be the fit in our research study and we would like to ask for your advice on where to get the software or what other softwares can we use to analyze the data in our study. Any suggestion will be greatly appreciated. Thank you and have a great day.
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Dear all, I want to measure soil erosion of a nature reserve using RUSLE model and GIS. In the K factor (erodibility factor), I have information for the soil texture, OM and permeability, but I do not have information for the soil structure. Can soil structure be find out from any other parameter/equation ?
Also, I need understand the P factor (support practice factor) in a context of a nature reserve with more natural forest and pasture cover and limited agriculture land area. Can the P factor measured by using GIS or any other technique/tool?
Your suggestions/comments and expert opinions will highly be appreciated 
Thank you and regards, 
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What is the difference between Particulate Organic Matter (POM) and Soil Organic Matter (SOM) determination method?
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SE=RK (LS) CP (1)
SE= Soil erosion (t ha-1year-1)
R = Rainfall erosivity factor (MJ mm ha-1h-1year-1)
K = Soil erodibility factor (t ha h ha-1 MJ-1 mm-1)
LS = Slope steepness factor [dimensionless]
C = Cover management factor [dimensionless]
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Are there any equations that show the role of shear stress in the scour depth prediction?
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Please see the attachment of Kiprotich Kiptum.
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Dear my collegues and my professors,
My first question : I would like to simulate Soil Erosion by using EPM Model, what do you think about it or in other words what are its strengths and weaknesses?
My second question : WEAP, SWAT, EPM, USLE, RUSLE,MUSLE are models to simulate Soil Erosion so on what basis we choose the model type from the previous models?
Thanks in advance.
Brahim.
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We're happy to announce a new feature of WEAP: erosion modeling!
FutureWater, with support from SEI, has developed a plugin that enables to assess erosion rates. The manual and the plugin can be found here:
Please use and feedback is appreciated.
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Which plant species do you think to have better performance in controlling the speed of raindrops and preventing splash erosion? Grass? Forb? bushes, shrubs, or trees?
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I think vegetation density and percentage play a more effective role than plant species in controlling erosion.
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Hi I am doing soil erosion modelling applying RUSLE equation. But I was searching for the most appropriate and latest method to determine K-factor for a large area like India or Brazil or Australia? Please suggest. Thank you in advance for your time and effort.
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The K factor is determined by soil series or type. At the scales suggested, there are typically many soil series, and thus many or at least several K factors to consider. These could be mapped in GIS by soil type, and then weighted average determined for country by unit area of each soil series.
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Unfortunately, in my country, Iran, there is one of the highest soil erosion rates. The government and relevant organizations are not effective in controlling this process, in fact, it has not developed a comprehensive plan to control soil erosion.
My purpose in asking this question is to get information and get acquainted with the applications that have been implemented in other countries in soil erosion control.
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Thank you. The article you introduced is very informative and useful
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Dear Researchers,
I run multiple times my SWAT-CUP SUFI2 but it is contineously giving this problem as attached in picture. Please let me know your expert opinion why I am facing this error and how to fix it.
Thanks in Anticipation.
Kind Regards
Naveed
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how to solve the SWAT_CUP error dispalyed in figure below.
with regards
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Because I see that to estimate soil loss throught USLE, RUSLE models, some researchers use models that are not compatible with the study region?
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If referring directly or indirectly to the USLE R factor, sometimes called the rainfall runoff factor, it is developed from the frequency and intensity of rainfall events, on average, for specific areas. The US has a map developed for this. The rainfall intensity is one of the driving energy factors or forces that is accumulated into an energy R factor from long term rainfall records. Rainfall rates exceeding 3 inches per hour are apparently the maximum rainfall intensity applied as either the amount sufficient to dislodge soil particles, or perhaps that rate on agricultural soils often leads to puddling, which absorbs any added energy from more intense events. Soil loss estimates through USLE and associated equations do not include any erosion associated with channelized flow, it is basically what one might call sheet erosion and sheet flow. The USLE estimates the dislodgement, entrainment of soil particles in this surface flow and movement and deposited to another area or delivered to a channel network. Since rainfall is the driving force for particle dislodgement, it seems that soil loss models would have to consider local or regional rainfall information. Wind blown soil is another force consideration that is not evaluated in rainfall or runoff with USLE soil loss estimate.
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I am writing a master's thesis and would appreciate any contributions on the articles on "the state of irrigated agricultural lands", "agro-production grouping of lands" "structural and water-stable aggregates of cultivated lands" in English, Russian.
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There are innumerable examples available on this aspect. In fact, dams are constructed for irrigation of agricultural lands and you may please examples from India in this regard.
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For my upcoming master dissertation work, working on Remote sensing and GIS in analysis of soil erosion. Got confused on USLE and RUSLE. Is there any difference between these two equations or both are same. Please help me.
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Dear
The Revised Universal Soil Loss Equation (RUSLE) is an upgrade of USLE that is land use independent. It can be used on cropland, disturbed forestland, rangeland, construction sites, mined land, reclaimed land, military training grounds, landfills, waste disposal sites, and other lands where rainfall and its associated overland flow cause soil erosion. RUSLE was first introduced in the USDA Soil and Water Conservation Service in 1993. RUSLE maintains the same empirically based equation as USLE to compute sheet and rill erosion as follows: A=RKLSCP where A is computed soil loss, R is the rainfall-runoff erosivity factor, K is a soil erodibility factor, L is the slope length factor, S is the slope steepness factor, C is a cover management factor, and P is a supporting practices factor.
The major changes compared to USLE are in the values given for erosion as modified by vegetative cover and better calculations of the slope (LS) factors, as well as more advanced computerization.RUSLE gives more credit to the ability of surface residues to reduce erosion, as well as residues incorporated in the soil near the soil surface. Where USLE assumed that runoff was uniform over the catchment, RUSLE takes better into account that some runoff is channeled into rills and gullies. RUSLE also captures better than USLE that long rains can saturate the soil, leading to reduced intake and greater erosional runoff. In contrast with USLE, RUSLE can handle converging and diverging terrain and considers areas with net sedimentation.
An additional change incorporated in the RUSLE is to account for rock fragments on and in the soil. Rock fragments on the soil surface are treated like mulch in the C-factor, while K is adjusted for rock in the soil profile to account for rock effects on permeability and, in turn, runoff.
these are some notes from :
you can also have a look to official site of USDA:
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Which software do you suggest for doing the numerical modeling of scour depth estimation in the cohesive soils?
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If simulation of water surface is essential, you can apply the FLUENT or FLOW-3D models, however, if you do not want to construct the water surface, you can use the SSIIM2 model.
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Dear All
I am working on the Government-funded project to understand the hydrological and soil behavior of the Gaya district and Bihar state in order to understand the slope stabilities and soil erosion protection.
In this regard, I have collected the infiltration data of nearly 30 blocks and carrying out the rainfall-runoff experiments. Now looking to evaluate the slope stablity on the basis of soil properties and infiltration rate.
Can you please also share the suitable articles to refer for more to do analysis for sustainable development of the region, as the region is known for the agriculture and facing the water scarcity?
Looking for your advice, comments and information.
Regards
Vikram Kumar
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Dragi Vikram,
Za podatke o vodonosnicima i litoloških karakteristika - opšte stanje na tlu, možete naći na Googlu i predlog gospodina Abdelrazek Elnashar, koji predlaže sledeće izvore na programu Google Earth Engine, Podaci o tlu: https://developers.google.com/s/results/earth-engine/datasets?q=OpenLandMap; LULC: https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global
Ima dosta podataka o eroziji tla i u mojoj knjizi (Geološki procesi u Zemljinoj kori i na površini - Academia.edu) ali i drugih autora. Na Vama je to malo proučiti i inkorporirati i prilagoditi sa u Vašim problemom in situ!
Srdačan pozdrav!
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I'm working in a research project whose objective is to predict annual soil erosion using the Revised Universal Soil Loss Equation (RUSLE). I have calculated all the factors of RUSLE model except K-factor with the data provided by the respective department. Now it seems much challenging to calculate the K-factor as I only have the soil data related to soil texture classes. But according to the equation below the proportions of different soil particles (%silt, %fine sand, %clay )are of course needed to calculate the K-factor
K-factor formula: К = 2.77 10-7 M 1.14 (12 – a) + 0.0043 (b – 2) + 0.0033 (4 – c) 
where: M = {%(silt + fine sand)} . {100 - %clay}, a is %OM, b is the soil structure class and c is the soil profile permeability class)
Does anyone have any suggestions on how I can calculate the K- factor?
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interested
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After applying RUSLE and doing all calculations for soil erosion assessment we get to know that there is no actual sediment data available, collected by authorities or any other researcher for the watershed. How can I validate my results ?
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I would also like to add that the application of the model in a specific place/site/ watershed should be done with the measured data in long term, here are 6 factors, and it should also be noted that the results of the RUSLE model are an estimate of the actual data based on the accuracy of the model , up to 75% can be different from real data. This means that in most cases you can not do any validation with statistical methods .
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I need a method to determine statistical correlation between two GIS based raster maps.
Eg. Correlation between Soil Erosion rate map (Raster) and spatial distribution map of any groundwater quality parameter (Raster)
Also, need to know wheter I can determine statistical correlation between a raster map and a polygon map?
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Go to the Google earth engine (GEE) than upload your both raster files and run this code
// correlation
var image3 = ee.Algorithms.CrossCorrelation(image1,image2,2,5,0)
print(image3)
Hope it will help. Other wise you can contact me at mdmasroor1994@gmail.com.
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I had done some research in the field of rainfall simulation on sandy slopes, I did some tests on Laboratory and I did some modeling via Plaxis's Plaxflow module, I wanted to know if there is any possible way to do it in Python, Thanks
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Rainfall on a sandy soil or slope is entirely different from the normal surfaces as the percolation rate is pretty fast in a sandy soil and a quick run off on a slope although both are dependent on the hydrologic process depending upon the geology of the area. Rainfall-runoff process (RRP) as it is popularly referred to can be executed either is situ or through simulation. However, it always better to opt for the former in order to achieve desired results that can be applicable in different periods of rainfall (Natural). Understandably, intensity plays a major role in both logarithmic and quadratic functions. Depending upon a specific example, one may have to consider relationship between runoff co-efficient, slopes, rainfall duration, and as well as soil moisture and vegetation cover wherever applicable.
Soil Moisture Accounting and Routing for Transport (SMART) in Python abbreviated as SMARTpy demands rainfall and potential evapotranspiration inputs. I am unfortunately not competent to suggest any other parameters that may be required by the model. Therefore, one can apply this model ascertaining the other parameters in this exercise.
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We are trying to determine rate of annual soil loss from watersheds, and we were planning to RUSLE model for the process but while going through literature, we found SWAT, EPIC,etc. models have also been used to assess the erosion.
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Hi,
please keep in mind that (R)ULSE type models (USLE/RUSLE basically the same, and terms are used synonymously nowadays) only estimate long-term annual soil loss from a certain location and do not account for soil deposition in your catchment.
Also keep in mind that the USLE is highly empirical and the estimates can be prone to large errors (e.g. see our recent article in HESS: https://hess.copernicus.org/articles/24/4463/2020/).
You may also consider, that many more complex models (e.g. SWAT) also employ derivatives of the USLE model (SWAT uses the MUSLE). Although SWAT also accounts for deposition on the land surface as well as in-stream deposition the estimates must be validated by using observation data.
Cheers
Christoph
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I am looking for some good datasets related to land use and agricultural practices such as conventional and conservation agriculture and their contribution to soil erosion and health on global scale. Any help would be greatly appreciated. Thank you.
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The use of terracing agrotechnology in the foothills prevents irrigation erosion.
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  1. Soil erosion models that have been found superior in literature, sometimes becomes inferior, if experiment is based steep slopes (>12%).
  2. In natural conditions, sometimes it become very difficult to choose the model which is superior than the others in terms of data requirement and performance.
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I uploaded a couple of studies that might be of interest in my list on Researchgate. Hazel Pistol Erosion Plot Study and Sediment from a Small Ephemeral Gully. In the latter study, I used the methods described by Dissmeyer reference, but on small gully catchment. I have used the cloth filter fence methods on both hill slopes and the small catchments. In most cases, the hillslopes did not produce enough sediment to effectively measure the sediment loss. One might add a separate layer of sediment cloth to capture the sediment and physically remove it for weighing. In areas with substantial hillslope erosion, you might try ground based LiDAR to help measure the surface adjustments through time.
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Methods to model a river bankline erosion and the main parameters to be considered in doing so?
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Ecological services provided reclamation of wasteland is an important issue to get more benefits. The benefits with respect to oxygen emission for human beings along with other parameters viz, soil repair, soil erosion loss, nutrient inputs, visit by wild animals and so on.
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follow
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I'm looking for some experiences on using riprap or other types of mechanical protection methods on soft soil and specially saturated marly slope. Is there any special consideration for using this type of protection on marl?
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In the case of protecting with Riprap, you must take care to place layers of sand and gravel filter in the contact between the marl and the bedrock, to avoid washing and dissolution, reduce the hydraulic gradient of the possible filtration flow and separate the surface runoff.
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There are different methods of harvesting rice either manually or by using machines. It has been seen that in some methods of harvesting rice is harvested by cutting at the base and in some areas by cutting in the middle porting of the stalk. The porting of stalk present in the field is decomposed naturally enriching the soil which is very important for sustainability.
In parts of Arunachal Pradesh, India in hill areas it has been observed that some farmers harvest only the panicle part of the rice crop at maturity particularly in highly sloppy hills. It helps in easy transportation, increase profit and also less labour consuming, it helps to reduce soil erosion. At the same time it is also been observed that the stalk portion is allowed to decompose naturally to build up the soil fertility.
Is there any research done for similar practice on its favourable effect on soil fertility, may kindly be shared.
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It is obvious that residue will increase the fertility of land but it will be little complicated to farmer since they will have difficult both in harvesting due to the remaining stalk of rice on field and another it will generate tidioiosness even in ploughing and for the livestock rearer to it is one supplement in lean period...But a lot there is a lot of research supporting soil structure due to the residue.....
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Rainfall erosivity
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According our results for the Czech Republic conditions the relationship is not statistically significant. This should be always verified for local conditions. Strong statistical significance exhibits for example longitude for the Czech Republic conditions.
Best Regards.
Jiri
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I want to measure the soil erosion of a watershed. Is there any instrument which will help me to measure the soil erosion?
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You can go for Rainfall Simulator or can use USLE, Universal Soil Loss Equation,for soil loss estimation
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I have known some physical-based models and emperical models, i.e., the original Stefan model (mainly used in permafrost regions) and its modified modes. However, I consider there would be some better methods to quantify the dynamics of frost depth in seasonal frozen soil region.
Due to the characteristics of two-way melting of the soil during the thawing period in seasonal frozen soil regions, the prediction of the frost depth during the thawing period becomes more complicated and difficult. Are there any good methods to quantify the dynamics of frost depth during thawing period?
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Thank you for sharing your latest related research, I will read it carefully!@Yijian Zeng
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In your opinion, what will be the attitude of human to the natural resources management (environment, water resources, soil resources, etc.) after the COVID-19 era?
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Our priority should be on the preservation and conservation of soil/land and environmental resources in relation to each ecological zone. The focus should be on the development of those resources in our environment based on comparative advantage. In view of what has happened globally and Africa in particular, we should focus seriously on development of our local resources using local content with sound and vigorous research instead of depending on mono economy through crude oil exploration without alternative source(s) of income/IGR/GDP. Our emphasis in Africa now is to develop large scale agriculture with full sense of environmental conservation to avoid future economic recession.
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I am looking for the papers that are linking calculations of costs of production of crops (potato and/or cabbage and/or beans and/or onion in EUR/or USD per km2) with soil erosion intensity (expressed in m3/km2/year)? The idea is to find some papers that we will use as a template/guide to do some modest research in our study areas in SEE.
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Nice contribution Boukary Kassogué
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Can soil erosion via satellite be evaluated in other words, remote sensing?
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Soil erosion can be estimated using readily available remote sensing observations upon using popular existing methods like USLE, MUSLE, and RUSLE. However, the accuracy is quite a higher case of RUSLE. Apart from that, many conventional models like the MMF model which is based on the soil hydraulic characteristics gives comparable result. You can use some readily available tools like WEPP model and SWAT to estimate the erosion directly with minimal model inputs.
You may find the below article useful which identifies the critical locations based on erosion and flood using the SWAT model:
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It is intended to determine the possible maximum loss of natural carbon in the upper soil. In this condition, the carbon should be stable. But researches in Germany showed, the amount of carbon is decreasing on farmland. The highest losses are observed on areas with pure corn production where the soil is exposed to sun, water, and wind.
The loss has in my opinion two main factors: erosion and oxidation.
I'm quite familiar with erosion but I need some input about the chemical component.
What triggers the oxidation of carbon and what soil related catalysts are possible? (UV-light, ions from artificial fertilizers, water, higher temperatures from sun radiation)
Thank you for your collaboration!
Steffen
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Excellent answer given by Paul Reed Hepperly.
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Land degradation like soil erosion,biological degradation,physical degradation,etc
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Please go through the following PDF attachment.
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Raindrops falling on the soil
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Dear Mourad,
I do not think that this material exists in one of the research laboratories in Algeria. Maybe you have to look at the meteorological office. It may be equipped with such a device.
Regards
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considering particle size is the way if yes.
should it be just as a, for example, some particle size which we bring in the code for that area or it is as a factor which involves in soil type data? if not what is the solution for that.
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RUSLE (Revised Universal Soil Loss Equation - USLE)
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I need mathematical/ statistical methods used to examine the impact of soil erosion on agricultural production based the data collected from local community .
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Statisticaly the impact measure by using regression analysis by considere the data from soil as independent variables and amount of prodicts of agriculture as dependnt variable
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Particle size distribution (PSD) aka soil texture is a major feature to understand soils.
Sand, silt and clay classes of mineral particles are so commonly used that they become part of the everyday landscape of agronomists, farmers and others.
However,
Why such size limits have been placed between these categories?
Is there a reason?
In addition, different countries may have different PSD classes (eg., 50 µm or 63 µm between silts and sands).
On which scientific basis has this been made?
To follow up on that,
Don't you think that a more modern approach to soil texture characterisation would be more helpful by measuring soil PSd on a continuous scale? rather than splitting between sand, silt and clays.
Indeed, two soil with the same PSD (lets say 30% sand, 30% silt and 40% clay) could be very different.
Within sands, particles could all be towards th coarse side, or conversely towards the fine side.
Same reasoning for the other classes.
Without solid reasons (physical perhaps?) to set the boundaries between sands, silts and clays, that system seems a bit arbitrary and old-fashioned, isn't it?
Shouldn't it be more useful to represent the frequency distribution of particles on a continuous scale to give a more precise picture of the actual texture of a soil.
New techniques such as laser diffraction seem to be useful to this end, and could give a more representative image of the distribution of the size of soil's mineral particles.
Futhermore, current method to determine soil PSD using sieving and sedimentation is extremely long and prone to errors in measurements.
Any thoughts on this?
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The % of sand, silt and clay in the soil established the nature or texture of soil. Hence, first we have to determine the % of these components of soil.
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Hello everyone! I am looking for a soil erosion model, which I'm going to employ several times over the same area to compare the soil loss post event. Long story short - I have a constant study area (~160 km2) and events occurring there (in various frequency) and the overall goal is to asses whether the event endangers the landscape, soil erosion assessment needs to be undertaken, i.e. estimation prior and post event. There are couple of past events, and also model will be implemented for the future events. I have following available data:
- Precipitation measurements from 6 neighbouring weather stations, which enables me to interpolate the rainfall over the study area; with hourly or daily info; --> variable
- digital soil map with type, texture and percentual fraction information (between slit/clay/sand) according to the figures from Bodenkudlich Kartieranleitung - see attached; --> constant
- land cover map derived from imagery classification (RGB+NIR 3 m) derived separately pre and post event --> variable
- DEM derived from LiDAR campaign (1 m) --> constant
- random stratified data from field measurements containing LC/LU info as well as other descriptors (water flow/rills/gullies) --> variable
My first choice was RUSLE or MUSLE, but as far as I understood during my research, they model the annual soil loss and rather should not be employed in single events (here comparison of two dates referring to pre/post event) modelling. I also came across the EROSION 3D (developed I think at Uni Sachsen in the 90'ties), but it requires the soil moisture, which I could only derive I think from the soil map, therefore it would be a constant, so not really useful.
In general I am trying to design a protocol, that would point out the areas (soil) damaged during the event with the above described data.
Any ideas? I would be grateful for any tips regarding real-life application of such models. Thank you!
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Yes.
Single rainfall data can be used for estimating the soil loss during that particular rainfall event.
All other parameters will be the same but C and P factor must be prepared for that specific event
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Natural hazards risk
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Matchew,
Yes, that's exactly what it is. The impacts of these disasters on infrastructure and agricultural land. Many of the indicators are used (Social Vulnerability Index: SoVI). So I would like to have an idea about suitable indicators in a mountainous area like the island of Idjwi.
The objective is to assess the socio-economic vulnerability of Idjwi populations to the risks of water erosion and landslides. This is where I have to have a vulnerability map drawn up, since the susceptibility map has already been done.
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I have calculated soil erosion by RUSLE model,
but now I want to calculate the SDR rate
please suggest !
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The impact of soil erosion on water quality/chemistry appears to be well-known. However, the impact of water chemistry on soil erosion seems not to be well-known.
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Well,
Mainly TDS, which including all dissolve ions(Cations and Anions)and trace elements.
Regards
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I am looking for a study about on how to deal with soil erosion. This is to help us prevent occurring soil erosion in particular town. You may view the attached picture for recommendation.
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Useful books:
1. SCHIECHTL, H. M.; STERN, R. Water bioengineering techniques for water course, bank and shoreline protection. Blackwell Science Publications, Oxford, 1997. 186 p.
2. GRAY, D. H.; SOTIR, R. B. Biotechnical and Soil Bioengineering Slope Stabilization: A practical guide for erosion control. John Wiley and Sons, Inc., New York, 1996. 400 p.
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I am currently analysing the processes and sources of sediment in East-African rivers, lakes and floodplains using sediment tracing techniques. However, in all the soil plot samples and floodplain cores, we find a very distinct distribution of Cerium. My study site is located closely to the active carbonatite volcano 'Ol doinyo Lengai'. We are exploring the possibility of the redistribution of Cerium by the volcano, where besides traditional weathering processes (bottom-up from the mother material), the element is periodically infused from the atmosphere following volcanic eruptions giving rise to its peculiar surface distribution and floodplain peaks.
Is there anyone who has observed this behaviour of Cerium (or other elements) in East-Africa or other parts of the world? It would be a great help to me if you could share some of these findings.
With kind regards,
Maarten
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There are many carbonatites and alkaline igneous rocks which gave host to REE mineralization, e.g. Kangankunde. One of the major host of cerium is monazite (CePO4). The heavy mineral may be concentrated in rivers and floodplains and is quite common in the weathering zone and soils within the clastic apron of the afore-mentioned magmatic rocks.
H.G.Dill
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I am in course of estimation of soil erosion in a river of Nepal. The catchment (Area of 4994 sq. km) constitutes very few (3) rain gauge stations with 30 years monthly data. I need to have annual rainfall map over the region. What could be the best way to prepare such map in QGIS?
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I think you can use interpolate the rainfall for whole watershed. Among other interpolation techniques like Kriging or Spline, IDW has been found to be more reliable in an study done in Sydney
Not sure about the accuracy of the interpolation in the Himalayan Region.
Cheers.