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Subject
Soil and Water Conservation Engineering
Topic
Soil Loss Estimation By Universal Soil Loss Equation
&
Soil Loss Measurement Techniques
by
Dr. Sanjay Singh Chouhan
Assistant Professor
JNKVV-College of Agriculture
Powarkheda, Hoshangabad 1
Estimation of Soil Loss
2
Estimation of Soil Loss
• The control of erosion is essential to maintain the productivity of soil and to improve or
maintain downstream water quality.
• To estimate soil erosion, empirical and process based models (equations) are used.
• Universal Soil Loss Equation (USLE) is an empirical equation used to estimate annual soil
loss per unit area.
• Estimating soil loss is considerably more difficult than estimating runoff as there are
many variables, both natural such as soil and rainfall and man-made such as
adopted management practices.
• The soil loss considerably depends on the type of erosion. As a result, models, whether
empirical or process-based, are necessarily complex if they are to include the effect of all
the variables.
JNKVV- College of Agriculture, Powarkheda
3
The Universal Soil Loss Equation (USLE)
JNKVV- College of Agriculture, Powarkheda 4
The Universal Soil Loss Equation (USLE)
• The filed soil loss estimation equations development began in 1940 in USA.
• Based on nearly 10,000 plot year runoff plot data, Wischmeier and Smith in 1965
developed the universal soil loss equation, which was later refined with more recent data
from runoff plots, rainfall simulators and field experiences.
• It is the most widely used tool for estimation of soil loss from agricultural watersheds for
planning erosion control practices.
• The USLE is an erosion prediction model for estimating long term averages of soil erosion
from sheet and rill erosions from a specified land under specified conditions.
• It provides an estimate of the long-term average annual soil loss from segments of arable
land under various cropping conditions.
JNKVV- College of Agriculture, Powarkheda
5
• The application of this estimate is to enable farmers and soil conservation advisers to
select combinations of land use, cropping practice, and soil conservation practices, which
will keep the soil loss down to an acceptable level.
• To developed the USLE
➢40 years data was collected and analysed
➢Study plot of length 22.13 m with 9% slop was used.
➢Plot kept in continues fellow condition
➢More then 2,50,000 runoff event at 48 research station in 26 states of USA was
analysed.
JNKVV- College of Agriculture, Powarkheda
6
The equation (USLE) is presented as below.
A = R x K x L x S x C x P
Where,
A = soil loss per unit area in unit time, t ha-1 yr -1.
R = rainfall erosivity factor which is the number of rainfall erosion index units for a particular
location.
K = soil erodibility factor - a number which reflects the susceptibility of a soil type to erosion.
L = slope length factor, a ratio which compares the soil loss with that from a field of specified
length of 22.6 meters.
JNKVV- College of Agriculture, Powarkheda
7
S = slope steepness factor, a ratio which compares the soil loss with that from a field of
specified slope of 9%.
C = cover management factor - a ratio which compares the soil loss with that from a field
under a standard treatment of cultivated bare fallow.
P = support practice factor - a ratio of soil loss with support practice like contouring, strip
cropping or terracing to that with straight row farming up and down the slope.
The factors L, S, C and P are each dimensionless ratios which allow comparison of the
site for which soil loss is being estimated with the standard conditions of the database.
Knowing the values of rainfall erosivity, soil erodibility and slope one can calculate the
effectiveness of various erosion control measures with the purpose of introducing a
cultivation system in an area with soil loss limited to the acceptable value.
JNKVV- College of Agriculture, Powarkheda
8
Factors Associated With The USLE
1. Rainfall Erosivity Factor (R)
• It refers to the rainfall erosion index, which expresses the ability of rainfall to erode the
soil particles from an unprotected field.
• It is a numerical value obtained from the long field experiments that the extent of soil
loss from a barren field is directly proportional to the product of two rainfall
characteristics: kinetic energy of the storm and its 30-minute maximum intensity.
JNKVV- College of Agriculture, Powarkheda
9
2. Soil Erodibility Factor (K)
• The soil erodibility factor (K) in the USLE relates to the rate at which different soils erode.
• Under the conditions of equal slope, rainfall, vegetative cover and soil management
practices, some soils may erode more easily than others due to inherent soil characteristics.
• The direct measurement of K on unit runoff plots reflect the combined effects of all
variables that significantly influence the ease with which a soil is eroded or the particular
slope other than 9% slope.
• Some of the soil properties which affect the soil loss to a large extent are the soil
permeability, infiltration rate, soil texture, size and stability of soil structure, organic content
and soil depth.
JNKVV- College of Agriculture, Powarkheda
10
Table.
Values of K for Several
Stations (Source: K.
Subramanya, 2008)
Based on runoff plot studies,
the values of erodibility factor
K have been determined for
use in USLE for different soils
of India as reported by Singh et
al. (1981). Values of K for
several stations are given in
Table.
JNKVV- College of Agriculture, Powarkheda 11
Station Soil Type
Computed
Values of K
Agra Loamy sand, alluvial 0.07
Dehradun Dhulkot silt, loam 0.15
Hyderabad Red chalka sandy loam 0.08
Kharagpur Soils from laterite rock 0.04
Kota Kota clay loam 0.11
Ootakamund Laterite 0.04
Rehmankhera Loam, alluvial 0.17
Vasad Sandy loam, alluvial 0.06
Topographic Factor (LS)
• Slope length factor (L) is the ratio of soil loss from the field slope length under
consideration to that from the 22.13 m length plots under identical conditions. The slope
length has a direct relation with the soil loss
• Steepness of land slope factor (S) is the ratio of soil loss from the field slope gradient to
that from the 9% slope under otherwise identical conditions.
• The increase in steepness of slope results in the increase in soil erosion as the velocity of
runoff increases with the increase in field slope allowing more soil to be detached and
transported along with surface flow.
• The two factors L and S are usually combined into one factor LS called topographic
factor.
JNKVV- College of Agriculture, Powarkheda
12
• This topographic factor is defined as the ratio of soil loss from a field having
specific steepness and length of slope (i.e., 9% slope and 22.13 m length) to
the soil loss from a continuous fallow land. The value of LS can be calculated
by using the formula given by Wischmeier and Smith (1962):
JNKVV- College of Agriculture, Powarkheda 13
Where,
L = field slope length in feet and
S = percent land slope.
Crop Management Factor (C)
• The crop management factor C may be defined as the expected ratio of soil loss from a
cropped land under specific crop to the soil loss from a continuous fallow land, provided
that the soil type, slope and rainfall conditions are identical.
• The soil erosion is affected in many ways according to the crops and cropping practices,
such as the kind of crop, quality of cover, root growth, water use by plants etc.
• The variation in rainfall distribution within the year also affects the crop management
factor, which affects the soil loss.
• This factor reflects the combined effect of various crop management practices.
JNKVV- College of Agriculture, Powarkheda
14
Table: Values of Crop Management Factors for Different Stations in India (Source: K Subramanya, 2008)
JNKVV- College of Agriculture, Powarkheda
15
Station Crop Soil Loss, t ha -1y -1 Value of C
Agra Cultivated fallow 3.80 1.0
Bajra 2.34 0.61
Dichanhium annualtu 0.53 0.13
Dehradun Cultivated fallow 33.42 1.0
Cymbopogon grass 4.51 0.13
Strawberry 8.89 0.27
Hyderabad Cultivated fallow 5.00 1.0
Bajra 2.00 0.40
Support Practice Factor (P)
• This factor is the ratio of soil loss with a support practice to that with straight row farming
up and down the slope.
• The conservation practice consists of mainly contouring, terracing and strip cropping.
• The soil loss varies due to different practices followed.
• Factor P for different support practices for some locations of India is presented in Table.
JNKVV- College of Agriculture, Powarkheda
16
Table: Different Values of
Support Practice Factor (P) for
Some Indian Locations.
JNKVV- College of Agriculture, Powarkheda 17
Station Practice Factor P
Dehradun Contour cultivation of maize 0.74
Up and down cultivation 1.00
Contour farming 0.68
Terracing and bunding in
agricultural watershed
0.03
Kanpur
Up and down cultivation of
Jowar
1.00
Contour cultivation of Jowar 0.39
Ootacamund Potato up and down 1.00
Potato on contour 0.51
Use of USLE
There are three important applications of the universal soil loss
equation. They are as follows:
1. It predicts the soil loss.
2. It helps in identification and selection of agricultural practices.
3. It provides the recommendations on crop management
practices to be used.
JNKVV- College of Agriculture, Powarkheda 18
Various Erosion Classes In India
Based on 21 observation points and 64
estimated erosion values of soil loss
obtained by the use of USLE at locations
spread over different regions of the
country, soil erosion rates have been
classified into 6 categories.
Areas falling under different classes of
erosion are shown in Table.
19
Range
(Tones/ha/year)
Erosion Class Area (km2)
0-5 Slight 801,350
5-10 Moderate 1,405,640
10-20 High 805,030
20-40 Very high 160,050
40-80 Severe 83,300
>80 Very severe 31,895
Limitations of Universal Soil Loss Equation
The equation involves the procedure for assigning the values of different associated factors
on the basis of practical concept. Therefore, there is possibility to introduce some errors in
selection of the appropriate values, particularly those based on crop concept.
The following are some of the limitations of the USLE:
Empirical
• The USLE is totally empirical equation. Mathematically, it does not illustrate the actual
soil erosion process. The possibility to introduce predictive errors in the calculation is
overcome by using empirical coefficients.
JNKVV- College of Agriculture, Powarkheda
20
Prediction of Average Annual Soil Loss
• This equation was developed mainly on the basis of average annual soil loss data; hence its
applicability is limited for estimation of only average annual soil loss of the given area. This
equation computes less value than the measured, especially when the rainfall occurs at high
intensity.
Non-computation of Gully Erosion
• This equation is employed for assessing the sheet and rill erosions only but can not be used for
the prediction of gully erosion. The gully erosion caused by concentrated water flow is not
accounted by the equation and yet it can cause greater amount of soil erosion.
Non-computation of Sediment Deposition
• The equation estimates only soil loss, but not the soil deposition. The deposition of sediment at
the bottom of the channel is less than the total soil loss taking place from the entire watershed.
JNKVV- College of Agriculture, Powarkheda
21
Soil Erosion Measurement
JNKVV- College of Agriculture, Powarkheda 22
JNKVV- College of Agriculture, Powarkheda 23
Soil loss Measurements Techniques
Measurement of Soil Loss By
1. Multi-Slot Divisor (MSD)
2. Coshocton Wheel Sampler (CWS)
Multi-Slot
Divisor
JNKVV- College of Agriculture, Powarkheda 24
Multi slot divisor assembles
following components:
1. Runoff collector or
Runoff tank
2. Stilling tank
3. Divisor box (Slot Divisor)
4. Collecting tank.
JNKVV- College of Agriculture, Powarkheda
25
Measurement of Soil Loss By Multi-Slot Divisor (MSD)
• The multi-slot divisors Was developed by R.V. Geig for measuring runoff and soil loss from
runoff plots or small areas.
• It is an integral component of runoff plot. Its constructional feature consists of several
slots of same dimension.
• The slots are fitted at the end of divisor box.
• The water flow from runoff plot leads towards the divisor.
• The divisor divides the entire water flow into different parts.
• The uniformity in flow division depends on uniformity of flow velocity. As for as possible
the flow velocity should be uniform in divisor box.
JNKVV- College of Agriculture, Powarkheda
26
• Variations in flow velocity also cause unequal distribution of sediment concentration in
divided water flow, as result there is introduction of error in measurement.
• In operation, the water flow is allowed to pass through the device; and flow from one of
the slots is directed into the collecting tank; and water from the remaining slots is allowed
to drain out.
• The water samples are taken from the collected water in the collecting tank for analysis
purposes.
JNKVV- College of Agriculture, Powarkheda
27
Collection of Water Sample From
Centre Slot of A Multi-slot Divisor
for Lab Analysis.
JNKVV- College of Agriculture, Powarkheda 28
Coshocton Wheel Sampler
JNKVV- College of Agriculture, Powarkheda 30
Coshocton Wheel Sampler
Measurement of Soil Loss By Coshocton Wheel Sampler (CWS)
• The Coshocton wheel silt sampler (developed at an experimental station at a place
known as Coshocton in USA) can be used for collecting water samples from the runoff
passing through a multi-slot divisor or directly through a measuring device like the H-
flume.
• The device consists of a wheel made of thin circular plate to which eight vanes are
attached. A sampling head with a narrow opening called slot is mounted radially on this
wheel. The slot is kept raised sloping down towards the outside of the wheel.
• Water discharge from the channel falls on a- water wheel, which is inclined slightly
therefore causing the wheel to rotate. An elevated sampling slot mounted on the wheel
extracts a sample of water-sediment mixture with the representative proportion.
JNKVV- College of Agriculture, Powarkheda
31
• With each revolution of the wheel, the slot cuts across the jet from the flume and
extracts a small portion of the flow. The extracted portion is collected in the storage tank
through the conduit.
• The H-Flume and the Coshocton sampler in combination are used for runoff and
sediment estimation from small agricultural watersheds.
JNKVV- College of Agriculture, Powarkheda
32
Coshocton
Wheel
Sampler
JNKVV- College of Agriculture, Powarkheda 33
JNKVV- College of Agriculture, Powarkheda 34
Thanks for listening…..
JNKVV- College of Agriculture, Powarkheda 35

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Universal soil loss equation ; soil loss measurement

  • 1. Subject Soil and Water Conservation Engineering Topic Soil Loss Estimation By Universal Soil Loss Equation & Soil Loss Measurement Techniques by Dr. Sanjay Singh Chouhan Assistant Professor JNKVV-College of Agriculture Powarkheda, Hoshangabad 1
  • 3. Estimation of Soil Loss • The control of erosion is essential to maintain the productivity of soil and to improve or maintain downstream water quality. • To estimate soil erosion, empirical and process based models (equations) are used. • Universal Soil Loss Equation (USLE) is an empirical equation used to estimate annual soil loss per unit area. • Estimating soil loss is considerably more difficult than estimating runoff as there are many variables, both natural such as soil and rainfall and man-made such as adopted management practices. • The soil loss considerably depends on the type of erosion. As a result, models, whether empirical or process-based, are necessarily complex if they are to include the effect of all the variables. JNKVV- College of Agriculture, Powarkheda 3
  • 4. The Universal Soil Loss Equation (USLE) JNKVV- College of Agriculture, Powarkheda 4
  • 5. The Universal Soil Loss Equation (USLE) • The filed soil loss estimation equations development began in 1940 in USA. • Based on nearly 10,000 plot year runoff plot data, Wischmeier and Smith in 1965 developed the universal soil loss equation, which was later refined with more recent data from runoff plots, rainfall simulators and field experiences. • It is the most widely used tool for estimation of soil loss from agricultural watersheds for planning erosion control practices. • The USLE is an erosion prediction model for estimating long term averages of soil erosion from sheet and rill erosions from a specified land under specified conditions. • It provides an estimate of the long-term average annual soil loss from segments of arable land under various cropping conditions. JNKVV- College of Agriculture, Powarkheda 5
  • 6. • The application of this estimate is to enable farmers and soil conservation advisers to select combinations of land use, cropping practice, and soil conservation practices, which will keep the soil loss down to an acceptable level. • To developed the USLE ➢40 years data was collected and analysed ➢Study plot of length 22.13 m with 9% slop was used. ➢Plot kept in continues fellow condition ➢More then 2,50,000 runoff event at 48 research station in 26 states of USA was analysed. JNKVV- College of Agriculture, Powarkheda 6
  • 7. The equation (USLE) is presented as below. A = R x K x L x S x C x P Where, A = soil loss per unit area in unit time, t ha-1 yr -1. R = rainfall erosivity factor which is the number of rainfall erosion index units for a particular location. K = soil erodibility factor - a number which reflects the susceptibility of a soil type to erosion. L = slope length factor, a ratio which compares the soil loss with that from a field of specified length of 22.6 meters. JNKVV- College of Agriculture, Powarkheda 7
  • 8. S = slope steepness factor, a ratio which compares the soil loss with that from a field of specified slope of 9%. C = cover management factor - a ratio which compares the soil loss with that from a field under a standard treatment of cultivated bare fallow. P = support practice factor - a ratio of soil loss with support practice like contouring, strip cropping or terracing to that with straight row farming up and down the slope. The factors L, S, C and P are each dimensionless ratios which allow comparison of the site for which soil loss is being estimated with the standard conditions of the database. Knowing the values of rainfall erosivity, soil erodibility and slope one can calculate the effectiveness of various erosion control measures with the purpose of introducing a cultivation system in an area with soil loss limited to the acceptable value. JNKVV- College of Agriculture, Powarkheda 8
  • 9. Factors Associated With The USLE 1. Rainfall Erosivity Factor (R) • It refers to the rainfall erosion index, which expresses the ability of rainfall to erode the soil particles from an unprotected field. • It is a numerical value obtained from the long field experiments that the extent of soil loss from a barren field is directly proportional to the product of two rainfall characteristics: kinetic energy of the storm and its 30-minute maximum intensity. JNKVV- College of Agriculture, Powarkheda 9
  • 10. 2. Soil Erodibility Factor (K) • The soil erodibility factor (K) in the USLE relates to the rate at which different soils erode. • Under the conditions of equal slope, rainfall, vegetative cover and soil management practices, some soils may erode more easily than others due to inherent soil characteristics. • The direct measurement of K on unit runoff plots reflect the combined effects of all variables that significantly influence the ease with which a soil is eroded or the particular slope other than 9% slope. • Some of the soil properties which affect the soil loss to a large extent are the soil permeability, infiltration rate, soil texture, size and stability of soil structure, organic content and soil depth. JNKVV- College of Agriculture, Powarkheda 10
  • 11. Table. Values of K for Several Stations (Source: K. Subramanya, 2008) Based on runoff plot studies, the values of erodibility factor K have been determined for use in USLE for different soils of India as reported by Singh et al. (1981). Values of K for several stations are given in Table. JNKVV- College of Agriculture, Powarkheda 11 Station Soil Type Computed Values of K Agra Loamy sand, alluvial 0.07 Dehradun Dhulkot silt, loam 0.15 Hyderabad Red chalka sandy loam 0.08 Kharagpur Soils from laterite rock 0.04 Kota Kota clay loam 0.11 Ootakamund Laterite 0.04 Rehmankhera Loam, alluvial 0.17 Vasad Sandy loam, alluvial 0.06
  • 12. Topographic Factor (LS) • Slope length factor (L) is the ratio of soil loss from the field slope length under consideration to that from the 22.13 m length plots under identical conditions. The slope length has a direct relation with the soil loss • Steepness of land slope factor (S) is the ratio of soil loss from the field slope gradient to that from the 9% slope under otherwise identical conditions. • The increase in steepness of slope results in the increase in soil erosion as the velocity of runoff increases with the increase in field slope allowing more soil to be detached and transported along with surface flow. • The two factors L and S are usually combined into one factor LS called topographic factor. JNKVV- College of Agriculture, Powarkheda 12
  • 13. • This topographic factor is defined as the ratio of soil loss from a field having specific steepness and length of slope (i.e., 9% slope and 22.13 m length) to the soil loss from a continuous fallow land. The value of LS can be calculated by using the formula given by Wischmeier and Smith (1962): JNKVV- College of Agriculture, Powarkheda 13 Where, L = field slope length in feet and S = percent land slope.
  • 14. Crop Management Factor (C) • The crop management factor C may be defined as the expected ratio of soil loss from a cropped land under specific crop to the soil loss from a continuous fallow land, provided that the soil type, slope and rainfall conditions are identical. • The soil erosion is affected in many ways according to the crops and cropping practices, such as the kind of crop, quality of cover, root growth, water use by plants etc. • The variation in rainfall distribution within the year also affects the crop management factor, which affects the soil loss. • This factor reflects the combined effect of various crop management practices. JNKVV- College of Agriculture, Powarkheda 14
  • 15. Table: Values of Crop Management Factors for Different Stations in India (Source: K Subramanya, 2008) JNKVV- College of Agriculture, Powarkheda 15 Station Crop Soil Loss, t ha -1y -1 Value of C Agra Cultivated fallow 3.80 1.0 Bajra 2.34 0.61 Dichanhium annualtu 0.53 0.13 Dehradun Cultivated fallow 33.42 1.0 Cymbopogon grass 4.51 0.13 Strawberry 8.89 0.27 Hyderabad Cultivated fallow 5.00 1.0 Bajra 2.00 0.40
  • 16. Support Practice Factor (P) • This factor is the ratio of soil loss with a support practice to that with straight row farming up and down the slope. • The conservation practice consists of mainly contouring, terracing and strip cropping. • The soil loss varies due to different practices followed. • Factor P for different support practices for some locations of India is presented in Table. JNKVV- College of Agriculture, Powarkheda 16
  • 17. Table: Different Values of Support Practice Factor (P) for Some Indian Locations. JNKVV- College of Agriculture, Powarkheda 17 Station Practice Factor P Dehradun Contour cultivation of maize 0.74 Up and down cultivation 1.00 Contour farming 0.68 Terracing and bunding in agricultural watershed 0.03 Kanpur Up and down cultivation of Jowar 1.00 Contour cultivation of Jowar 0.39 Ootacamund Potato up and down 1.00 Potato on contour 0.51
  • 18. Use of USLE There are three important applications of the universal soil loss equation. They are as follows: 1. It predicts the soil loss. 2. It helps in identification and selection of agricultural practices. 3. It provides the recommendations on crop management practices to be used. JNKVV- College of Agriculture, Powarkheda 18
  • 19. Various Erosion Classes In India Based on 21 observation points and 64 estimated erosion values of soil loss obtained by the use of USLE at locations spread over different regions of the country, soil erosion rates have been classified into 6 categories. Areas falling under different classes of erosion are shown in Table. 19 Range (Tones/ha/year) Erosion Class Area (km2) 0-5 Slight 801,350 5-10 Moderate 1,405,640 10-20 High 805,030 20-40 Very high 160,050 40-80 Severe 83,300 >80 Very severe 31,895
  • 20. Limitations of Universal Soil Loss Equation The equation involves the procedure for assigning the values of different associated factors on the basis of practical concept. Therefore, there is possibility to introduce some errors in selection of the appropriate values, particularly those based on crop concept. The following are some of the limitations of the USLE: Empirical • The USLE is totally empirical equation. Mathematically, it does not illustrate the actual soil erosion process. The possibility to introduce predictive errors in the calculation is overcome by using empirical coefficients. JNKVV- College of Agriculture, Powarkheda 20
  • 21. Prediction of Average Annual Soil Loss • This equation was developed mainly on the basis of average annual soil loss data; hence its applicability is limited for estimation of only average annual soil loss of the given area. This equation computes less value than the measured, especially when the rainfall occurs at high intensity. Non-computation of Gully Erosion • This equation is employed for assessing the sheet and rill erosions only but can not be used for the prediction of gully erosion. The gully erosion caused by concentrated water flow is not accounted by the equation and yet it can cause greater amount of soil erosion. Non-computation of Sediment Deposition • The equation estimates only soil loss, but not the soil deposition. The deposition of sediment at the bottom of the channel is less than the total soil loss taking place from the entire watershed. JNKVV- College of Agriculture, Powarkheda 21
  • 22. Soil Erosion Measurement JNKVV- College of Agriculture, Powarkheda 22
  • 23. JNKVV- College of Agriculture, Powarkheda 23 Soil loss Measurements Techniques Measurement of Soil Loss By 1. Multi-Slot Divisor (MSD) 2. Coshocton Wheel Sampler (CWS)
  • 24. Multi-Slot Divisor JNKVV- College of Agriculture, Powarkheda 24
  • 25. Multi slot divisor assembles following components: 1. Runoff collector or Runoff tank 2. Stilling tank 3. Divisor box (Slot Divisor) 4. Collecting tank. JNKVV- College of Agriculture, Powarkheda 25
  • 26. Measurement of Soil Loss By Multi-Slot Divisor (MSD) • The multi-slot divisors Was developed by R.V. Geig for measuring runoff and soil loss from runoff plots or small areas. • It is an integral component of runoff plot. Its constructional feature consists of several slots of same dimension. • The slots are fitted at the end of divisor box. • The water flow from runoff plot leads towards the divisor. • The divisor divides the entire water flow into different parts. • The uniformity in flow division depends on uniformity of flow velocity. As for as possible the flow velocity should be uniform in divisor box. JNKVV- College of Agriculture, Powarkheda 26
  • 27. • Variations in flow velocity also cause unequal distribution of sediment concentration in divided water flow, as result there is introduction of error in measurement. • In operation, the water flow is allowed to pass through the device; and flow from one of the slots is directed into the collecting tank; and water from the remaining slots is allowed to drain out. • The water samples are taken from the collected water in the collecting tank for analysis purposes. JNKVV- College of Agriculture, Powarkheda 27
  • 28. Collection of Water Sample From Centre Slot of A Multi-slot Divisor for Lab Analysis. JNKVV- College of Agriculture, Powarkheda 28
  • 30. JNKVV- College of Agriculture, Powarkheda 30 Coshocton Wheel Sampler
  • 31. Measurement of Soil Loss By Coshocton Wheel Sampler (CWS) • The Coshocton wheel silt sampler (developed at an experimental station at a place known as Coshocton in USA) can be used for collecting water samples from the runoff passing through a multi-slot divisor or directly through a measuring device like the H- flume. • The device consists of a wheel made of thin circular plate to which eight vanes are attached. A sampling head with a narrow opening called slot is mounted radially on this wheel. The slot is kept raised sloping down towards the outside of the wheel. • Water discharge from the channel falls on a- water wheel, which is inclined slightly therefore causing the wheel to rotate. An elevated sampling slot mounted on the wheel extracts a sample of water-sediment mixture with the representative proportion. JNKVV- College of Agriculture, Powarkheda 31
  • 32. • With each revolution of the wheel, the slot cuts across the jet from the flume and extracts a small portion of the flow. The extracted portion is collected in the storage tank through the conduit. • The H-Flume and the Coshocton sampler in combination are used for runoff and sediment estimation from small agricultural watersheds. JNKVV- College of Agriculture, Powarkheda 32
  • 33. Coshocton Wheel Sampler JNKVV- College of Agriculture, Powarkheda 33
  • 34. JNKVV- College of Agriculture, Powarkheda 34
  • 35. Thanks for listening….. JNKVV- College of Agriculture, Powarkheda 35