Diana L. Weigmann, Editor
Virginia Water Resources Research Center
Virginia Polytechnic Institute & State University
(Article starts on page 471.)
THE SCS/ARS/CES PESTICIDE PROPERTIES DATABASE: II
USING IT WITH SOILS DATA IN A SCREENING PROCEDURE
A screening procedure has been developed to evaluate the
relative loss of pesticides from soils. A pesticide database was developed
by the Soil Conservation Service (SCS), Agricultural Research Service (ARS)
and the Cooperative Extension Service (CES) to provide information for this
screening process. Screening results are expressed as an overall potential
for a specific pesticide lost when used on a soil series. Pesticide loss was
estimated from over 40,000 runs of the GLEAMS (2) model using a combination
of soils and pesticides with a wide range of properties. The estimated
pesticide losses were categorized into leaching, adsorbed runoff and
solution runoff. Algorithms using soil properties were developed to group
soil series into three or four loss potentials for the three categories of
loss. In addition, algorithms using pesticide properties were developed to
group pesticides into three or four loss potentials for each category of
loss. The soil and pesticide groupings are combined in a matrix to give an
overall loss potential for each loss category. Statistics of the overall
loss potential indicate that the low loss potential is pure; that is, it
does not contain occurrences that have INTERMEDIATE or high losses. The
INTERMEDIATE loss potential does not contain occurrences of high loss, but
does contain many occurrences of low loss. The high loss potential contains
incidences of INTERMEDIATE and low loss.
The interaction of soils and pesticides has frequently
complicated evaluation of pesticide fate in the environment. Pesticides have
unique properties such as half-life, organic carbon partitioning
coefficient, and solubility that interact with soil properties such as
organic matter content, erosion potential, and hydraulic properties. This
paper explains the development and outlines the use of a procedure that will
assist in screening soil-pesticide interactions. The results are intended to
be a first tier evaluation of pesticide use. The procedure is not intended
for regulation.
A pesticide loss is assumed to have occurred if the
pesticide is leached below the root zone, or leaves the field boundary in
solution or adsorbed on sediment suspended in runoff waters. Thus, the
boundaries are the bottom of the root zone and the edge of the field.
The potential of losing pesticides from a field by
surface water runoff or leaching below the root zone is a combined function
of pesticide, soil, climate and management factors. The pesticide loss
assessments listed in this paper have been developed by using a combination
of soil and pesticide properties.
Only a few basic soil properties were chosen to represent a wide range of
soils. The properties chosen were those that were known to affect pesticide
movement. The key soil factors were:
The hypothetical soils were two layered, 36 inches deep,
with an upper layer thickness of 6", 10" and 14". The texture of each
horizon is presented in Table 1. Table 1 also presents the hydrologic group
selected for each soil based on upper and lower horizon texture and the
effective hydrologic conductivity used in the GLEAMS (2) model.
The organic matter content for horizon one was 0.5%,
1.5%, 2.5% and 4.5%. The organic matter content for horizon two was 0.01%.
The textural properties were estimated from the textural class, and other
physical properties were then estimated. These values are presented in Table
2. Other soil factors were estimated from the above parameters by methods or
values given in CREAMS (1). These values also apply to GLEAMS (2).
TABLE 1.
Effective hydrologic conductivity (in/hr) by soil textural class and
hydrologic group.
|
Texture |
|
Hydrologic |
Group |
|
|
|
Horizon 1 |
Horizon 2 |
A |
B |
C |
D |
|
Sand |
Sand |
0.45 |
|
|
|
| |
Sandy Loam |
0.42 |
0.30 |
|
|
| |
Silt Loam |
|
0.25 |
0.15 |
|
| |
Clay Loam |
|
|
0.10 |
0.03 |
| |
Clay |
|
|
|
0.02 |
|
Sandy Loam |
Sandy Loam |
0.42 |
0.30 |
|
|
| |
Silt Loam |
|
0.25 |
0.15 |
|
| |
Clay Loam |
|
|
0.10 |
0.03 |
| |
Clay |
|
|
|
0.02 |
|
Silt Loam |
Silt Loam |
|
0.25 |
0.15 |
|
| |
Clay Loam |
|
|
0.10 |
0.03 |
| |
Clay |
|
|
|
0.02 |
|
Clay Loam |
Clay Loam |
|
|
0.10 |
0.03 |
| |
Clay |
|
|
|
0.02 |
|
Clay |
Clay |
|
|
|
0.02 |
TABLE 2.
Textural and related properties of soils.
| Texture |
Sand |
Silt |
Clay |
Porosity |
Bulk Density |
Field Capacity |
Wilting Point |
| |
% |
% |
% |
cm/cm |
g/cc |
cm/cm |
cm/cm |
| Sand |
80 |
15 |
5 |
0.41 |
1.55 |
0.16 |
0.03 |
| Sandy Loam |
60 |
25 |
15 |
0.41 |
1.55 |
0.22 |
0.04 |
| Silt Loam |
15 |
60 |
25 |
0.51 |
1.28 |
0.32 |
0.07 |
| Clay Loam |
30 |
35 |
35 |
0.45 |
1.45 |
0.35 |
0.10 |
| Clay |
20 |
25 |
55 |
0.48 |
1.38 |
0.39 |
0.33 |
Field Characteristics:
The field was a square, 10 acres in size, and had a 4%
smooth slope. Channel flow and impoundment were not defined. The field was
fallow, disked with 10% mulch cover.
Pesticide Parameters:
The pesticides parameters chosen were solubility, soil
half-life, and the organic carbon partitioning coefficient (Koc). The values
for half-life were 1, 2, 4 and 40 days. The solubility values were 0.1, 1,
10, 1,000, 10,000, and 100,000 ppm. The Koc was 100, 300, 500, 700, 10,000,
and 100,000 ml/g. The pesticide was applied to the surface of a bare soil at
a rate of 4 kg/ha.
Factors Not Included In Pesticide Loss Potential:
The meteorological components used in the rating process
were for evaluating potentials independent of climate and were not intended
to represent any climatic zone. The primary goal was to determine the
capacity of a soil to retain a pesticide at the point of application,
regardless of management or climatic inputs. The meteorological data used in
the model to estimate pesticide losses was artificially generated to produce
the most likely situations for pesticide loss (worst case scenario). A 3.5
inch precipitation event was generated every second day after application
for five events, and then a 1.0 inch event every other day for at least four
times the half-life of the pesticide.
The persistence (half-life) of a pesticide in a soil is
partially dependent on soil moisture and temperature. The degradation of the
pesticide is favored by warm and moist climates. The difference in half-life
rates of the pesticide due to soil moisture and temperature has not been
considered.
The type of crop and the method of pesticide application
was not considered. The soil was assumed to be fallow and the method of
pesticide application was to the soil surface. To consider each crop and
method of application available for a pesticide is beyond the scope of this
screening procedure.
Some soil parameters that are thought to influence
pesticide half-life rates or solubility have not been considered. These
factors include: soil pH, aluminum content, elements toxic to microbes, and
total soil surface area.
PROCEDURE
Almost all possible combinations of the soil and
pesticide parameters listed above were evaluated with GLEAMS (2). The total
number of combinations examined was 40,896.
Development Of The Algorithms
A stepwise regression using SAS was used to select the
soil or pesticide input parameters that weighted most heavily for estimating
each category of pesticide loss from the GLEAMS runs. These parameters were
then used with various algorithms or equations to group pesticide loss.
Mostly a trial and error procedure was tried for setting algorithm break
points to separate each group. Usually, three groups were separated, but for
leaching loss a group fell out conspicuously and was established as a fourth
group. The groups were assigned names. The groups for soil loss potentials
are:
High
Intermediate
Low
Very Low (Leaching only)
The groups for pesticide loss potentials are:
High
Intermediate
Low
Very Low (Leaching only)
Relative pesticide loss values for each category group
were combined into a matrix. The maximum values for each cell in the matrix
were examined to see if they fell below the limits for a pre-established
overall potential. The objective of the matrix was to establish each
category of loss as one that does not contain pesticide loss greater than
the established threshold for that category. The upper limit of loss for a
VERY LOW rating was set at zero. The upper limits for a LOW rating were set
so each category of loss potential did not contain pesticides that are
expected to contaminate that water resource from a non-point source. The
lower limit for the HIGH category was arbitrarily set at about three times
the value of the upper limit of the LOW category.
The group ranking of soils and pesticides do not have an
absolute definition relative to quantity. Pesticide losses from this model
reflect only the relative ability of the soil to retain the pesticide at the
point of application. The interplay of climate determines whether the
leaching or surface loss potentials are reached in a given area. Tables 3
through 8 give the algorithms that resulted.
TABLE 3.
Soil Leaching Potential Algorithm. (SLP)
HIGH:
- ((hydrologic group = A) and ((Organic Matter times Horizon #1 Depth)
<= 30)) or
- ((hydrologic group = B) and ((Organic Matter times Horizon #1 Depth)
<= 9) and (Soil K factor <= 0.48)) or
- ((hydrologic group = B) and ((Organic Matter times Horizon #1 Depth)
<= 15) and (Soil K factor <= 0.26))
LOW:
- ((hydrologic group = B) and ((Organic Matter times Horizon #1 Depth)
>= 35) and (Soil K factor >= 0.40)) or
- ((hydrologic group = B) and ((Organic Matter times Horizon #1 Depth)
>= 45) and (Soil K factor >= 0.20)) or
- ((hydrologic group = C) and (Organic Matter times Horizon #1 Depth)
<= 10) and (Soil K factor >= 0.28)) or
- ((hydrologic group = C) and (Organic Matter times Horizon #1 Depth) >=
10)
VERY LOW:
INTERMEDIATE:
TABLE 4.
Pesticide Leaching Potential Algorithm after Gustafson(3)
(PLP)
HIGH:
- ((log10(Half-Life in days)*(4 - log10(Koc))) >= 2.8)
LOW:
- ((log10(Half-Life in days)*(4 - log10(Koc))) <= 1.8)
VERY LOW:
- ((log10(Half-Life in days)*(4 - log10(Koc))) < 0.0) or
- ((Solubility < 1 ppm) and (Half-Life <= 1 days))
INTERMEDIATE:
TABLE 5.
Soil Adsorbed Runoff Potential Algorithm (SARP)
HIGH:
- ((Hydrologic Group == "C") and (Soil K Factor >= 0.21)) or
- ((Hydrologic Group == "D") and (Soil K Factor >= 0.10))
LOW:
- (Hydrologic Group == "A") or
- ((Hydrologic Group == "B") and (Soil K Factor <= 0.10)) or
- ((Hydrologic Group == "C") and (Soil K Factor <= 0.07)) or
- ((Hydrologic Group == "D") and (Soil K Factor <= 0.02))
Published paper said (Soil K Factor >= 0.05), but Joe knew that
this was wrong. Changed this to (Soil K Factor <= 0.02) --- MSH
6-12-97
INTERMEDIATE:
TABLE 6
Pesticide Adsorbed Runoff Potential Algorithm.(PARP)
HIGH:
- ((Half-Life >= 40 days) and (Koc >= 1000)) or
- ((Half-Life >= 40 days) and (Koc >= 500) and (Solubility <= 0.5 ppm))
LOW:
- (Half-Life <= 1 days) or
- ((Half-Life <= 2 days) and (Koc <= 500)) or
- ((Half-Life <= 4 days) and (Koc <= 900) and (Solubility >= 0.5 ppm))
or
- ((Half-Life <= 40 days) and (Koc <= 500) and (Solubility >= 0.5 ppm))
or
- ((Half-Life <= 40 days) and (Koc <= 900) and (Solubility >= 2 ppm))
INTERMEDIATE::
TABLE 7
Soil Solution Runoff Potential Algorithm. (SSRP)
HIGH:
- ((hydrologic group =C) or (hydrologic group =D))
LOW:
INTERMEDIATE:
TABLE 8
Pesticide Solution Runoff Potential Algorithm. (PSRP)
HIGH:
- ((Solubility >= 1 ppm) and (Half-Life > 35 days) and (Koc < 100000))
or
- ((Solubility >= 10 ppm) and (Solubility < 100 ppm) and (Koc <= 700))
LOW:
- (Koc >= 100000) or
- ((Koc >= 1000) and (Half-Life <= 1 days)) or
- ((Solubility < 0.5 ppm) and (Half-Life < 35 days))
INTERMEDIATE:
Tables 9 through 11 give the statistical parameters
maximum, minimum, mean, and standard deviation for each overall potential
within each category of loss. The purity of the groupings can be determined
by comparing the statistical tables with the overall potential given in
tables 12 through 14. An example would be comparing Table 9 with Table 12.
These comparisons indicate the zero loss potential (VERY LOW -- Potential 4)
is pure. That is, the VERY LOW category does not contain losses that are
over 2. The LOW loss potential (Potential 3) does not contain occurrences of
INTERMEDIATE or HIGH losses. The INTERMEDIATE loss potential does not
contain occurrences of HIGH loss, but does contain many occurrences of LOW
loss. The HIGH loss potential contains incidences of INTERMEDIATE and LOW
loss.
Definition of Algorithms
Leaching algorithms:
The soil algorithm for grouping soils for potential loss
to leaching are given in Table 3. The pesticide algorithm for grouping soils
for potential loss to leaching are given in Table 4. The procedure used to
establish the algorithms resulted in an algorithm very similar to the
Groundwater Ubiquity Score (GUS) by Gustafson (3). The GUS was chosen as the
algorithm to use since that work contained additional verification not
planned for this procedure.
Surface algorithm:
The algorithms for surface losses are not as definite as
the algorithms for leaching. The number of factors which correlate to
surface losses were much greater than those to leaching losses. The stepwise
regression procedure showed little difference in the weighting of the first
five to seven parameters. Table 5 through 8 present the adsorbed and
solution runoff algorithms for soils and pesticides.
TABLE 9
Potential Pesticide Loss To Leaching, Using GUS.
| |
Pesticide Leaching Potential
(g/ha) |
|
| Soil Leaching Potential |
HIGH |
INTERMEDIATE |
LOW |
VERY LOW |
Statistic |
| HIGH |
3469 |
3159 |
1508 |
29 |
MAX |
| |
132 |
14 |
0 |
0 |
MIN |
| |
2018 |
1012 |
74 |
0.4 |
MEAN |
| |
898 |
732 |
162 |
1.9 |
STD. DEV. |
| INTERMEDIATE |
2266 |
1185 |
319 |
2 |
MAX |
| |
29 |
0 |
0 |
0 |
MIN |
| |
1054 |
227 |
9 |
0 |
MEAN |
| |
578 |
228 |
30 |
0.2 |
STD. DEV. |
| LOW |
877 |
589 |
47 |
0.1 |
MAX |
| |
0 |
0 |
0 |
0 |
MIN |
| |
189 |
35 |
0.2 |
0 |
MEAN |
| |
227 |
70 |
1.6 |
0 |
STD. DEV. |
| VERY LOW |
83 |
39 |
0 |
0 |
MAX |
| |
0 |
0 |
0 |
0 |
MIN |
| |
7 |
1 |
0 |
0 |
MEAN |
| |
15 |
4 |
0 |
0 |
STD. DEV. |
Table 10
Potential Pesticide Adsorbed Loss To Runoff.
| |
Pesticide Adsorbed Loss
Potential (g/ha) |
|
| Soil Sediment Loss Potential |
HIGH |
INTERMEDIATE |
LOW |
Statistic |
| HIGH |
3045 |
2387 |
1079 |
MAX |
| |
672 |
2 |
0 |
MIN |
| |
2286 |
1119 |
275 |
MEAN |
| |
566 |
377 |
272 |
STD. DEV. |
| INTERMEDIATE |
2166 |
1295 |
628 |
MAX |
| |
206 |
0 |
0 |
MIN |
| |
1331 |
601 |
115 |
MEAN |
| |
519 |
314 |
152 |
STD. DEV. |
| LOW |
1187 |
790 |
345 |
MAX |
| |
9 |
0 |
0 |
MIN |
| |
596 |
261 |
51 |
MEAN |
| |
311 |
165 |
69 |
STD. DEV. |
Table 11
Potential Pesticide In Solution Loss To Runoff
| |
Pesticide Solution Loss
Potential (g/ha) |
|
Soil Solution Loss Potential |
HIGH |
INTERMEDIATE |
LOW |
Statistic |
| HIGH |
2916 |
1984 |
805 |
MAX |
| |
19 |
19 |
11 |
MIN |
| |
1191 |
871 |
176 |
MEAN |
| |
566 |
406 |
145 |
STD. DEV. |
| INTERMEDIATE |
1621 |
1051 |
491 |
MAX |
| |
2 |
2 |
3 |
MIN |
| |
509 |
382 |
111 |
MEAN |
| |
338 |
210 |
91 |
STD. DEV. |
| LOW |
632 |
420 |
217 |
MAX |
| |
0 |
0 |
0 |
MIN |
| |
184 |
136 |
53 |
MEAN |
| |
150 |
94 |
44 |
STD. DEV. |
TABLE 12
Potential Pesticide Loss To Leaching Screening Matrix (ILP)
| |
Pesticide Leaching Potential |
| Soil Leaching Potential |
HIGH |
INTERMEDIATE |
LOW |
VERY LOW |
| HIGH |
HIGH |
HIGH |
INTERMEDIATE |
LOW |
| INTERMEDIATE |
HIGH |
INTERMEDIATE |
LOW |
VERY LOW |
| LOW |
INTERMEDIATE |
LOW |
LOW |
VERY LOW |
| VERY LOW |
LOW |
LOW |
VERY LOW |
VERY LOW |
TABLE 13
Potential Pesticide Adsorbed Loss To Runoff Loss
To Runoff Screening Matrix (IARP)
| |
Pesticide Adsorbed Loss
Potential |
| Soil Adsorbed Loss Potential |
HIGH |
INTERMEDIATE |
LOW |
| HIGH |
HIGH |
HIGH |
INTERMEDIATE |
| INTERMEDIATE |
HIGH |
INTERMEDIATE |
LOW |
| LOW |
INTERMEDIATE |
LOW |
LOW |
TABLE 14
Potential Pesticide In Solution Loss To Runoff
Screening Matrix (ISRP)
| |
Pesticide Solution Loss
Potential |
| Soil Solution Loss Potential |
HIGH |
INTERMEDIATE |
LOW |
| HIGH |
HIGH |
HIGH |
INTERMEDIATE |
| INTERMEDIATE |
HIGH |
INTERMEDIATE |
LOW |
| LOW |
INTERMEDIATE |
LOW |
LOW |
Definition of loss potential.
The potential pesticide loss is relative, and explains no more than a
relative expectation of pesticide loss. The HIGH Category has a higher
expectation of contaminating the respective water source than INTERMEDIATE,
which has a higher expectation than LOW. The VERY LOW category for leaching
has essentially a zero expectation of having the pesticide leach below the
root zone. Because HIGH and INTERMEDIATE contain occurrences of loss that
are low, further examination of that soil-pesticide combination may be
required. Possibly the GLEAMS (2) model should be run using the real
pesticide-soil-crop-climate combinations to develop better estimates of the
pesticide loss potentials. The screening procedure establishes an
expectation of loss, not an absolute estimate of loss.
IMPLEMENTATION
The soil-pesticide interaction ratings are designed as
screening tools. The ratings reflect current technology on a national scope.
They are relative to each other and do not have absolute units of loss.
Background Soil And Pesticide Information
Pesticide Database:
The Pesticide Database (6) was primarily developed to
provide data for development of this screening procedure. However, the
database has found popularity for use by others in similar projects. A peer
review group consisting of twenty-two NACA, ARS, SCS, Extension Service
(ES), Environmental Protection Agency, Forest Service and industry members
was formed to approve the screening procedure and pesticide database. The
current screening procedure and pesticide database has been reviewed by this
peer group. The pesticide database is being presented in another paper in
this proceeding (6). This database is repeated in Table 17 and contains the
estimated loss potentials using the algorithms developed in this paper.
Table 17
Pesticide Database
<Removed. Refer to WINPST for this data. --- MSH 6-4-98>
Soil Database:
Pesticide leaching and surface loss potentials for soils
have been estimated using the algorithms developed in this paper. The
potentials are available through queries of the Soil Interpretations Record
(SCS-SOI-5) data set at Ames, Iowa. The soil ratings can be obtained for a
state or for a survey area. If this service is not available, the local or
state SCS Office may be of assistance in obtaining the soil potentials. The
algorithms may also be used to estimate the soil potentials if the required
soil information is available.
Adjusting soil leaching and surface loss potentials.
When evaluating the soil potentials, several factors
should be considered that may cause an adjustment in the soil rating. Field
soil scientists should review the soil leaching and surface loss potentials.
Relative comparisons of potentials should be made to determine if they fall
in logical ranks, and if the potential is in agreement with the soil
scientist's information of soil series or map unit behavior. Soil scientists
have the information about the hydrology of a particular soil series or map
unit that is required to verify the calculated ratings. Table 15 lists
factors that should be examined when a soil surface loss or leaching
potential is suspect.
TABLE 15
Factors to consider when evaluating soil surface loss or leaching
potentials:
- Slope Greater Than 15%.
- Surface Organic Matter Layers.
- Shallow and Perched Water Tables.
- Questionable Hydrologic Soil Group.
- Lithic Soil Subgroups
The potentials should always be checked if the potential
has been calculated for slopes greater than 15 percent, organic soils, soils
that have an organic surface layer, or water tables less than 6 feet from
the surface. If the ratings are obtained from Ames or the SCS, these soils
are flagged. The flags are:
- * -- Slopes > 15 percent.
- # -- Organic soils and soils that have an organic surface layer.
- & -- Water table less than 6 feet from the surface.
Slope greater than 15%:
Slopes greater than fifteen percent may have more
pesticide surface loss than indicated by the ratings. This loss is due to
higher erosion than estimated by the slope parameter used in GLEAMS. The
surface adsorbed loss potentials should be adjusted upward one group.
Surface Organic Matter Layers:
Organic soils will rarely have pesticide loss from
surface runoff or leaching. Pesticides with a Koc over 300 ml/g are strongly
adsorbed to the organic matter (OM). Particles moved from these soils by
wind or water would carry pesticides with them. Occasionally a map unit or
soil series that has OM data for cultivation may be in range or forest land.
In such cases, an organic layer may develop at the surface. If the organic
layer is greater than one-half inch thick, considerable pesticide may be
adsorbed in this layer, and not susceptible to leaching. These soils should
have the soil surface loss and leaching potential estimated with the
additional OM incorporated into the surface horizon.
Shallow And Perched Water Tables:
Soils that have water tables less than six feet below the
surface and perched water tables are difficult to rate. These soils usually
have a dual hydrologic soil group rating. The SCS uses dual hydrologic
groups when water movement is impeded by water tables (for example A/D). The
first group represents hydrologic characteristics after drainage, and the
second group represents hydrologic characteristics before drainage.
The shallow water table has a greater expectation of
contamination than deeper water tables, particularly if it occasionally
rises into the root zone.
Perched water tables may flow into local surface waters
rather than infiltrating to an aquifer. Pesticides leaching to perched water
tables may have a greater potential to contaminate surface waters than
solution pesticide in surface runoff. Use the greater loss potential between
drained leaching potential and not drained soil solution runoff potential.
Shallow water tables that represent ground water levels
in an aquifer, or perched water tables that leak to an aquifer, require
special concern. These areas are typically not suitable for pesticide
application. When evaluating these conditions the soil leaching loss
potential should be used for the hydrologic soil group with the highest
infiltration.
Questionable Hydrologic Soil Group:
The National Soils Handbook (5), pages (603-49) to
(603-51), explains hydrologic soil groups and suggestions for rating soils
into hydrologic soil groups. (This information is now found on pages
(618-20) to (618-21) in section (618-35) of the NSSH Volume 1, 1996. – MSH
6-5-98) The hydrologic soil group assigned to a soil series may adequately
express runoff potentials but not reflect infiltration as it affects
leaching. This most commonly occurs for hydrologic soil group B soils. If
the hydrologic soil group does not reflect infiltration, then the estimated
leaching loss potential is incorrect. A lower leaching potential may be
estimated using a hydrologic soil group indicating lower infiltration rates.
Relative comparison between mapping units of soil
leaching and surface loss potentials is a good method to determine if the
rank of each soil or mapping units is logical. This can be misleading when
two soils have a HIGH leaching loss potential, but you intuitively know one
soil should be considerably less than the other. This is usually not an
inaccurate rank. The modeling technique to rank the soil loss potentials
selected a certain loss potential level to divide the HIGH and INTERMEDIATE
ranks. A coarse sand may have an effective saturated hydraulic conductivity
of 4.0 in/hr although a sandy loam may have a value of 0.4 in/hr. The
pesticide lost from the coarse sand would be several times that of the sandy
loam, but the amount lost from the sandy loam was sufficient to rank it as
HIGH. Table 16 lists the range of minimum infiltration rates of soils by
hydrologic group. The modeling technique equated minimum infiltration rates
to effective saturated conductivity. These values may assist in placing
soils into hydrologic groups.
TABLE 16
Ranges of minimum infiltration rates of soils by hydrologic group (Musgrave,
(4)).
|
Hydrologic Group |
Conductivity (in/hr) |
|
A |
> 0.30 |
|
B |
0.15 - 0.30 |
|
C |
0.05 - 0.15 |
|
D |
< 0.05 |
Lithic soil subgroups:
Lithic soil subgroups are also difficult to rate. In the
soil classification system a lithic subgroup is used to indicate coherent
material between 7 in. and 20 in. The problems here are similar to shallow
water tables. According to SCS procedures a lithic subgroup should have a
soil hydrologic group of C or D. A soil that would be rated soil hydrologic
group A or B without the lithic contact may have significant water
infiltration and movement along the lithic contact. This water may be
discharged into and contaminate surface waters. Use the greater loss
potential between the hydrologic group without lithic contact leaching
potential and hydrologic group with lithic contact solution surface loss
potential for the solution surface loss potential.
The lithic material should be examined for potential
leakage to the aquifer. Rapid percolation to the aquifer may occur if the
lithic material is fractured. If fracturing exists the soil leaching
potential should be calculated from tables for soil leaching potentials
using the more permeable hydrologic soil group.
USING SOIL-PESTICIDE INFORMATION
Determining the Potential
Figure 1 is an example Soil-Pesticide Work Sheet for
evaluating pesticide use in a specific environment. The parameters needed
are soil map unit or soil series, crop, target pest, and the recommended
pesticides. The recommended pesticide is obtained from the Cooperative
Extension Service (CES), a pesticide bulletin provided by the CES, or a
state agency responsible for pesticide recommendations. The pesticide
adsorbed or solution surface loss or leaching potential is obtained from
Table 17 or calculated from algorithms. The soil adsorbed surface, solution
surface or leaching loss potentials are obtained from the SCS database in
Ames, Iowa, local or state SCS offices, or calculated from algorithms. The
soil potentials should be adjusted as previously discussed. The soil and
pesticide ratings are combined in a matrix to obtain the overall pesticide
loss potential. Table 12 is a matrix for potential leaching loss. Table 13
is a matrix for potential surface adsorbed loss. Table 14 is a matrix for
potential surface solution loss.
Several pesticides from the Pesticide Database in Table
17 have estimated or guessed values for these parameters. The estimated
values are flagged with an 'E'. The guessed values are flagged with a 'G'.
These flags should be carried through the screening procedure.
FIGURE 1
PESTICIDE WORKSHEET
| |
|
|
|
LOSS POTENTIAL |
| |
|
|
|
PESTICIDE |
SOIL |
SOIL / PESTICIDE INTERACTION |
| CROP |
TARGET PEST |
SOIL |
RECOMMENDED PESTICIDE |
PLP |
PSRP |
PARP |
SLP |
SSRP |
SARP |
ILP |
ISRP |
IARP |
| Corn |
Green and Yellow Foxtail, Lambsquarters,
and Pigweed |
Barnes L; 9" surface depth; HYDRO B; KFACT
0.28; 3.5% OM |
Atrazine |
H |
H |
I |
I |
I |
I |
H |
H |
I |
| |
|
|
Cyanazine |
I |
I |
L |
I |
I |
I |
I |
I |
L |
| |
|
|
EPTC |
L |
I |
L |
I |
I |
I |
L |
I |
L |
| |
|
|
Metolachlor |
H |
H |
I |
I |
I |
I |
H |
H |
I |
| Alfalfa |
Foxtail |
Salida SL; 8" surface depth; HYDRO A; KFACT
0.10; 0.5% OM |
Propyzamide |
H |
H |
I |
H |
L |
L |
H |
I |
L |
| |
|
|
Sethoxydim |
L |
I |
L |
H |
L |
L |
I |
L |
L |
| Corn |
Corn Rootworm |
Barnes L; 9" surface depth; HYDRO B; KFACT
0.28; 3.5% OM |
Terbufos |
L |
I |
L |
I |
I |
I |
L |
I |
L |
| |
|
|
Fonofos |
L |
H |
L |
I |
I |
I |
L |
H |
L |
| |
|
|
Chlorpyrifos |
L |
L |
I |
I |
I |
I |
L |
L |
I |
| |
|
|
Carbofuran |
H |
H |
I |
I |
I |
I |
H |
H |
I |
| |
|
|
Phorate |
L |
H |
H |
I |
I |
I |
L |
H |
H |
Rating Classes:
- H – HIGH
- I – INTERMEDIATE
- L – LOW
- V – VERY LOW (Leaching only)
Ratings:
- SLP – Soil Leaching Potential
- The vulnerability of a soil, based on it’s physical properties, to
pesticide leaching below the rootzone.
- SSRP – Soil Solution Runoff Potential
- The vulnerability of a soil to pesticide loss as pesticide dissolved
in surface water that leaves the edge of the field.
- SARP – Soil Adsorbed Runoff Potential
- The vulnerability of a soil to pesticide loss adsorbed to sediment
and organic matter that leaves the edge of the field.
- PLP – Pesticide Leaching Potential
- The predicted movement potential of a pesticide to move below the
rootzone in leachate.
- PSRP – Pesticide Solution Runoff Potential
- The movement potential of pesticide dissolved in surface water that
leaves the edge of the field.
- PARP – Pesticide Adsorbed Runoff Potential
- The movement potential of pesticide adsorbed to sediment and organic
matter that leaves the edge of the field.
- ILP – Soil/Pesticide Interaction Leaching Potential
- The leaching potential based on consideration of the SLP and PLP.
- ISRP – Soil/Pesticide Interaction Solution Runoff Potential
- The Solution Runoff Potential based on consideration of the SSRP and
PSRP.
- IARP – Soil/Pesticide Interaction Adsorbed Runoff Potential
- The adsorbed runoff potential based on consideration of the SARP and
the PARP.
Interpreting the Potential
General considerations:
The method of application should be considered when
interpreting the potential. Keep in mind that:
- Foliar applications can result in only a small portion of a pesticide
reaching the soil surface where it can be subject to loss.
- Pesticides applied in a band below the surface or incorporated into
the soil may have a lower loss potential for surface runoff, but a higher
loss potential for leaching than estimated by this technique.
- Application rates may be near or below health advisory limits.
Consult locally developed guidelines or the manufacturer when these
conditions exist
The probability of rainfall soon after pesticide
application should be considered in most climates. The loss estimates used
in this procedure assume considerable precipitation immediately after
application. If little or no precipitation occurs, a significant loss may
not occur. Considerations in this area depend largely on the half-life of
the pesticide. After the elapse of one half-life, half of the original
pesticide concentration has been degraded, thus one-half remains. A
pesticide with a half-life of four days will be at 25% of the original
concentration in 8 days (two half-life periods). Thus, if a rainfall event
is not expected for a time equal or greater to three times the half-life of
the pesticide, little pesticide loss would be expected.
The purpose of this method is a first tier screening
procedure. If a HIGH or INTERMEDIATE potential is the result of the
screening procedure, do not reject the use of that chemical on that soil.
Further evaluation is warranted. However, if a LOW or VERY LOW Potential is
the result, the use of that chemical can be considered safe.
Potential 1, HIGH:
This potential has a high probability of being lost from
the field. Before deciding to use HIGH Potential pesticides, they should be
evaluated for their health hazard to humans, animals, and plants. If a
pesticide is a potential danger to health, an alternative pesticide, or
other pest management techniques should be considered. A second tier
evaluation may prove this combination not a hazard.
Potential 2, INTERMEDIATE:
This potential is a gray area. INTERMEDIATE guidelines
differ from HIGH in that:
- The Pesticide Solution Runoff Potential (PSRP not ISRP) may be
reduced one rank (HIGH to INTERMEDIATE) if the pesticide is foliarly
applied, soil incorporated, or banded under the surface.
- The pesticide leaching potential (PLP) could be reduced
one rank if foliarly applied.
- The use of this pesticide on this soil could be considered
LOW if rainfall probability is low.
Potential 3, LOW:
This pesticide applied on this soil has very low
probability of being lost to surface runoff or leaching. This pesticide
could be used according to the label with little hazard to the respective
water resource.
Potential 4, VERY LOW:
This potential is used only for leaching. The probability
of leaching loss is essentially zero unless the soil contains cracks or
macropores to depths greater than 30 inches.
Example --
The Pesticide Work Sheet (Fig. 1) is an example from
Minnesota. The corn rootworm example provides some interesting comparisons.
For the soil/pesticide interaction leaching loss
potential (ILP) four pesticides have a LOW rating, and one has a HIGH rating
(the most likely to be lost). If ground water is a potential contamination
hazard, the pesticides with a LOW rating would be an environmental "best
choice" without further evaluation.
For the soil/pesticide interaction adsorbed to sediment
or organic matter loss potential (IARP), one pesticide has a HIGH rating
(the most likely to be in runoff), two have an INTERMEDIATE rating, and two
have a LOW rating (the least likely). For the soil/pesticide interaction
solution runoff potential, one pesticide has a HIGH rating and four have a
LOW rating. If surface water is a potential contamination hazard the
pesticides Terbufos, or Chlorpyrifos would be an environmental "best choice"
without further evaluation. If conservation practices could be employed that
reduced sediment loss then Chlorpyrifos would be the environmental "best
choice" since the influence of the adsorbed pesticide loss would be reduced.
REFERENCES
(1) CREAMS A Field Scale Model for Chemicals, Runoff,
and Erosion from Agricultural Management Systems. Conservation Research
Report Number 26. U.S. Department of Agriculture, Science and Education
Administration.
(2) GLEAMS: Ground Water Loading Effects of
Agricultural Management Systems by R. A. Leonard, W. G. Knisel, D. A.
Still. Transactions of the ASAE Vol 30 No 5, pg l4O3-1418, 1987.
(3) Gustafson, D.I. 1989. Groundwater ubiquity score:
A simple method for assessing pesticide leachability. Environmental
Toxicology and Chemistry 8:339-357.
(4) Musgrave, G. W., "How much of the Rain Enters the
Soil?" in Water, Yearbook of Agriculture, U.S. Department of
Agriculture, 1955, p 151-159.
(5) U.S. Department of Agriculture, Soil Conservation
Service National Soils Handbook.
(6) Wauchope, R. Don, Hornsby, Arthur G., Goss, Don W. and Burt,
John, P. "The SCS/ARS/CES pesticide properties database: 1, a set of
parameter values for first-tier comparative water pollution risk
analysis." in ‘Pesticides in the Next Decade: The Challenges Ahead’,
Virginia Water Resources Research Center, Blacksburg, VA, 1990.