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Bromacil, diuron, and simazine, photosynthetic inhibitors that block photosystem II, have been used for many years for weed control. All are regularly used on citrus and non-agricultural land for both monocot and dicot weed control. Diuron and simazine are also used on fruit trees, vineyards, alfalfa and cotton. While all of these herbicides are effective on dicots and monocots, simazine is more commonly used to control monocot weeds. The use of these three herbicides was not regulated by state agencies until 1990 because of their relatively short aqueous half-lives. In contrast, Dibromochloropropane (DBCP), widely used in California until 1977 as a soil fumigant for nematode control, was banned in California after discovery of sterility among male workers manufacturing DBCP (Douglis, 1993). Furthermore, studies have shown that DBCP remains in the top soil layer for six to seven years after a single application (Cohen, 1986). Its hydrolysis half-life is about 20 years, although it is more rapidly degraded in aerobic soils (Table I).
The above pesticides are all widely used, are applied directly to the soil, and are water soluble, although solubility varies over three orders of magnitude (Table I). Patterns of contamination and transport among these pesticides illustrate the complexity of predicting their on-site behavior and the difficulty in developing site specific management. These four pesticides have different solubilities, adsorption coefficient, persistence in the soil, and health risks. Chemical retention and effectiveness are affected by the properties of the pesticide, characteristics of the soil, climatic conditions at the site of application, and farm management practices. Although the climate cannot be controlled, the other factors can be managed or altered to some extent in order to minimize potential pesticide contamination.
Previous studies have shown that pesticide contamination of groundwater occurs when normal or heavy applications of pesticides are coupled with poor management practices (Domagalski and Dubrovsky, 1992; Pickett et al., 1992). Proper water management is essential to minimize contamination, but may be difficult to achieve, especially in areas having shallow water tables or episodic high rainfall events. Such conditions are common in Tulare County. In recent years, many statistical and simulation models have been developed to describe and to predict pesticide leaching processes and transport into groundwater (Rao et al., 1985; Jury et al., 1987; Leonard and Knisel, 1988 and 1989; Goss, 1992; Shivkumar and Biksham, 1995). Most of the indices and statistical models were developed based on the soil characteristics and/or chemical properties of the pesticide (Gustafson, 1989).
The major factors contributing to pesticide leaching interact in a complex way within the agricultural landscape. Although much work has been done in assessing pesticide contamination in groundwater, the controlling factors and their interactions in relation to agriculture have not been sufficiently documented at a regional scale. Because of the potential for long distance transport to deep groundwater and the need to understand regional use and distribution patterns, new approaches and methods are needed for assessing pesticide contamination at a regional scale. Geographic Information Systems (GIS) are computer-assisted mapping and map analysis programs (Burrough, 1986) that have been widely used in geography and landscape ecology studies. Early GIS work mainly pertained to spatial mapping, while more recent GIS studies have integrated mapping and modeling (Wilson et al., 1992). A GIS-driven pesticide leaching model, such as the one developed for this study, provides a means to evaluate complex spatial and temporal patterns in pesticide use and transport.
This paper focuses on: (1) identifying the factors that cause pesticide
leaching into groundwater, (2) understanding the relationship between the
chemicals in groundwater as they are affected cropping systems and soil
characteristics, and (3) mapping the potential contamination sites for
given cultural practices and soil properties.
Soil leaching potential and soil-pesticide interaction (Table III) were determined using the Goss model (1992), consisting of (1) soil ratings for potential pesticide leaching and potential surface loss, and (2) pesticide rankings for potential leaching. The soil leaching potential is based on the soil type, depth, and moisture. The leaching potential for soil-pesticide interactions uses the soil leaching potential and modifies it by the specific properties of the pesticide that determine its solubility and adsorption coefficients. Because the leaching process included the pesticide source, pesticide properties, and leachable media, the potential pesticide leaching sites in the county were identified in the GIS from map overlays of these factors. For example, the overall pesticide leaching potential in townships was determined from a derived map that combined overlay maps of pesticide applications, soil-pesticide interactions, and a soil map. The matrix in Table IV shows the possible classes of pesticide leaching potentials, calculated from the product of the classification of soil-pesticide interactions and the pesticide application rate. The definition of class boundaries is arbitrarily set and the product of the classification was used only for scaling the interactions. Therefore, in this case, values of 1 to 3 were classified as a low leaching potential, values of 4 to 6 as medium, values of 8 to 12 as high, and a value of 16 was a very high leaching potential. An examination of these classes shows a reasonable relative ranking in leaching potential for these pesticides and soils as based on the results of Goss (1992).
A Pesticide Contamination Index (PCI) was developed to compare the magnitude
and degree of contamination among pesticides throughout the county. The
PCI was defined as the weighted average residue concentrations (ppb) divided
by the Health Advisory Level (HAL, ppb), i.e.,
Land use maps and soil type maps were digitized in ARC/INFO GIS (ESRI,
1990). All other data were stored in the GIS database. The ARC/INFO was
used for data storage, spatial analysis, and illustrations, and SAS (SAS
Inc., Cary, NC) was used for statistical analysis. Indices describing crops
and soils are described more completely in Zhang (1993) and included crop
diversity, crop water demand, and soil water-holding capacity. Crop diversity
refers to the relative number of crops in a township, i.e.
Correlation analysis was used to examine the spatial relationship between
pesticide leaching, crop patterns and soil types.
The Goss model used attributes from the soil database including soil texture, depth, and soil water-holding capacity. Spatial variation in soil moisture capacity is shown in Figure 4(a). Generally, soils having highest leaching potentials have lowest water-holding capacities. Results of the Goss model showed that bromacil, diuron, DBCP and simazine all have high leaching potentials (Table III), primarily because they are water-soluble compounds. The soil types having medium to highest leaching potentials (Figure 4(b)) as estimated from the Goss model, were found in the townships of the extreme northwest and from the center of the county toward the foothills of the southeast. Very low soil leaching potentials were found only for the soils in the townships of the extreme southwest, in the center, and along the northern edge of the county. Because of soil variability, potential pesticide leaching patterns are complex. The most immediate observation is that many areas having medium and high potential for leaching are not the townships having the highest pesticide application rates, as shown in Figures 3(a)-(c). Because all the pesticides in the study were classified into the highest potential leaching class, similar spatial patterns were found between soil water-holding capacity, soil leaching potential maps and the soil-pesticide interaction maps (Figure 4(c)) except that there were no areas with very low leaching potentials. Nonetheless, one could not directly infer locations of high potential soil-pesticide interaction directly from soil properties.
Considering the average bromacil application rates and the potential for soil-pesticide interactions, the area most susceptible to high and moderate bromacil leaching potentials (Figure 5(a)) were found along the foothills and the townships of the northwest and were mainly associated with citrus and orchard crops. Clearly it would be possible to develop a monitoring and mitigation plan at the sub-township level if pesticide information at the resolution of the soil data were gathered at a larger number of wells. Almost all agricultural land in the county was classified as having moderate and/or high leaching potentials for diuron (Figure 5(b)), except for two townships at the southwest and northeast corners. For simazine, only four townships were classified as having the highest leaching potentials (Figure 5(c)).
For both bromacil and simazine, the areas having high leaching potentials
generally are citrus or orchards, while areas of lower leaching potentials
were those planted with cotton and alfalfa crops (Figure
1). By comparing the differences in leaching potential among these
pesticides it is clear that their spatial distributions in the soil are
distinct despite similarities in their herbicide targets, crop types, and
solubilities. The complexity of these spatial patterns are not apparent
in the application maps shown in Figures 3(a)-(c)),
despite general similarities.
Because the monitoring program of the California Department of Pesticide Regulation was not fully established until 1985, and diuron and bromacil were not detected until 1986, the average pesticide residues in groundwater were calculated for two time intervals: before 1985 and after 1985 (Table V). Before 1985, the monitoring data showed that 88% of the wells contained detectable levels of DBCP residues. The average DBCP concentration was 0.727 ppb with a standard deviation of 1.323 from 432 wells sampled. This concentration was more than 36 times the HAL advisory index for DBCP. Simazine was only detected in 6% of the wells, and the average concentration was 2.75 ppb with a standard deviation of 1.06 from 34 wells, a contamination about three times the HAL advisory level. On comparing the PCI values shown in Table V, we see that DBCP had the largest PCI value (55.10), followed by Simazine (2.75). Because PCI incorporated the average concentration of the chemical and its health advisory level from U.S. E.P.A standards, the value of the PCI should represent the composite contamination level Therefore, one concludes that DBCP was the most significant contaminant when compared to the other pesticides. After 1985, the average concentration for DBCP residues in groundwater decreased to 0.626 ppb with a standard deviation of 0.569. Eleven years after the pesticide was first detected in Tulare County, the residues remained 30 times the HAL advisory level. The PCI had decreased to 23.75 by this time. The residues of bromacil and diuron appeared in groundwater with average concentrations of 0.337 and 0.282 ppb, respectively, much lower than the HAL advisory levels (Tables I, V). Therefore, on comparing the PCI values, we conclude that DBCP was still the most significant contaminant in groundwater (23.75); followed by simazine (0.20), diuron (0.0333) and bromacil (0.0033). Simazine residues were detected with a high frequency (84%) throughout the county, while bromacil was detected least often (58%) among the sampled wells.
The average pesticide residues after 1985 were used for illustrating the spatial contamination patterns and correlation analysis because of the availability of representative data. Bromacil contamination (Figure 7(a)) was found in the townships of T17S to T20S and ranges of R26E and R27E, and the township of T16S R24E. A diuron contamination (Figure 7(b)) band was mainly associated with citrus production areas in the county. The spatial patterns of simazine (Figure 7(c)) m groundwater were similar to that of diuron. DBCP residues (Figure 7(d)) were detected from the north to south, and in the central portions of the county, where this compound was associated with tree fruit and grape production.
Groundwater contamination was statistically related to the characteristics of the cropping system and soil types (Table VI). The distribution of major crops in Tulare County in 1985 is shown in Figure 1. Although the annual crops may change from year to year, fruit and vine crops represent a long-term commitment, and the distribution of these crops remains stable for a number of years. Thus, the map provides a realistic representation of agriculture in the county during the measurement period. Bromacil concentrations in groundwater (PC, ppb were significantly related to the relative number of crops in a township (R). Correlation analysis shows that as crop diversity increases in a township, higher bromacil concentrations are found in groundwater (Table VI). The number of wells sampled (N) for bromacil was strongly related to the relative number of crops and the crop water demand (TWD). DBCP concentration in groundwater and PCI were significantly related to the average area of crops grown in the county (MHA). The number of wells sampled was not correlated with any crop or soil indices.
Diuron concentration in groundwater, the number of wells sampled, and
PCI were positively correlated to the relative number of crops, crop water
demand, and groundwater elevations at the end of the summer growing season.
The PCI was negatively correlated to soil water holding capacity (SAWT)
and average crop area in the county. The number of wells sampled for Simazine
and Simazine PCI were positively correlated to the relative number of crops,
crop water demand and groundwater elevation, and negatively related to
soil water holding capacity. Average Simazine concentration in groundwater
did not correlate to the crop diversity, crop area, or to the soil indices.
Domagalski and Dubrovsky (1992) and Pickett et al. (1992) have pointed out that pesticide contamination of groundwater mostly occurs from normal or large applications when coupled with poor management practices. This suggests that significant reductions in contamination and pesticide residue transport could be obtained by altering farm management practices, especially pesticide application and water management.
The first factor to be considered is the soil potential for pesticide transport. Tulare County has diverse soil types including 30% having clay and clay loams and 28% having sandy loam or other sandy soils and generally low organic matter contents (U. California Cooperative Extension). Soil texture obviously affects pesticide movement, and soil permeability and credibility affects loss by leaching and erosion. Soils with a high proportion of organic matter and clay absorb soluble pesticides better than soil that does not contain much organic matter (Bollag et al., 1992; Shaw et al., 1992). Fine textured soils with high organic matter contents will bind pesticides and limit off-site transport (Senesi, 1992). The pesticides in this study are highly soluble, and are likely to be leached or transported with eroded sediments. However, the specific soil-pesticide interactions and the chemical properties of the selected pesticides caused patterns of soil-pesticide leaching potentials to conform to the distribution of soil types (Figure 4(a),(b)).
Pesticide applications in low leaching potential soils have the least capacity for contributing to contaminant transport. For example, bromacil and simazine had low leaching potentials on the west side of Tulare county where heavy clay soils prevail. In contrast, application of highly soluble pesticides to coarse-textured soils are significantly more likely to result in leaching. The townships along the eastern foothills and the northwest corner of Tulare County that have high to moderate leaching potentials for bromacil, diuron, and simazine also have sandy soils (Figures 3(a)-(c)). This sensitivity to the soil medium provides a basis for a mitigation strategy if lower value crops or those that demand less investment in pesticides can be planted on sandy soils. The reduced crop economic benefit may be partially offset by lower management costs and lower risk of financial responsibility for off-site contamination.
Although we have discussed the source and media for potential pesticide leaching, farm water management and environmental factors such as rainfall and temperature influence both the speed of leaching and processes related to the rates of pesticide degradation. Water management is more important than temperature in central California because of the Mediterranean climate and the low topographic relief. Tulare County has hot, dry summers and cool, wet winters, therefore summer irrigation practices are critical in mitigating transport. The correlation analysis indicated that diuron contamination decreased as the average pesticide application and average crop acreage increased. In reality, a large amount of the measured pesticide may have come from previous applications because of persistence in the soil, and may represent a contamination problem that existed decades before the sampling. Diuron has been regularly used in the county since the 1960s, and residues from previous applications may still persist. Therefore, it is necessary to carefully interpret correlations between applications and contamination.
Troiano and Segawa (1987) found that the type of irrigation system used was strongly related to the pesticide residue and the movement through the soil profile Drip systems are considered best at minimizing pesticide residues in groundwater while furrow and border irrigation are the worst systems. Pickett et al. (1992) have shown that frost protection from winter sprinkler irrigation in citrus is positively correlated with pesticide residues in groundwater. Therefore, winter farm practices can also contribute to mitigation strategies, by limiting pesticide leaching during frost protection activities when high groundwater table conditions exist. This suggests that leaching from citrus in the sandy northwest soils may be highly sensitive to winter irrigation practices. For this reason, the California Citrus Association has recommended adopting drip and sprinkler irrigation systems instead of surface irrigation methods.
Our results showed that soil contamination and transport is a combined function of many factors. Contamination usually occurred where high source loads were present (i.e. high rates or amounts of pesticide applications) and where efficient pathways were available (i.e. sandy soils with high water availability). Therefore high concentrations of bromacil residue in groundwater were predicted at sites with crops having high water demand. Bromacil is highly soluble (929 ppm solubility in water) and has a low adsorption coefficient (17 cm3/g Koc). Hence, the residue concentrations of bromacil were not related to soil water-holding capacity. It is not clear from this work whether a high percentage of clay in soils will affect bromacil leaching potentials because its short hydrolysis half-life (30 days), should lead to rapid degradation. However, it should be noted that the health advisory level for bromacil is higher (90 ppb) than for the other pesticides, so its fate is of less concern.
DBCP also has a small adsorption coefficient (40 cm3/g Koc), and residues in groundwater are not affected by soil water-holding capacity. Residues were not related to crop type, crop diversity, or crop water demand because of its persistence and widespread usage as a soil fumigant. DBCP residue concentrations and PCI value corresponded to the average area of active cultivation and increased with the percent of crop area.
Diuron has the largest soil adsorption coefficient (499 cm3/g Koc) among these pesticides and is persistent in soils (Table I). In clay soils, diuron is largely adsorped after each application, minimizing leaching potential. Because diuron is commonly used for weed control, residues in groundwater have been frequently detected since 1986 when it was found for the first time in groundwater. Its widespread use may explain why diuron PC, N. and PCI were all significantly correlated to crop diversity, crop water demand, and to the height of the groundwater table.
Simazine, like diuron, has a high adsorption coefficient (340 cm3/g Koc), but has a low hydrolysis half-life (28 days). However, simazine has low water solubility (6 ppm) relative to the other pesticides (Table I). It is likely that simazine is adsorbed to soils after application. Increasing percentages of clay m the soil and higher water-holding capacity lowers the leaching potential for simazine.
More crops and greater demand for evapotranspiration requires more irrigation,
so it is clear that irrigation is a major factor in determining pesticide
leaching into groundwater. The question is how to apply irrigation properly
such that the leaching potential can be minimized while agricultural production
is optimized. The identified leaching potential maps for bromacil, diuron
and simazine should provide information needed by farmers to apply these
pesticides selectively.
The frequency of well sampling for each pesticide was related to the concentrations of each pesticide residue measured in the wells. Sites sampled most frequently were found to have high herbicide residues. Thus, well information alone, because of sampling bias, is insufficient to evaluate leaching and contamination patterns on a regional basis. Furthermore, application rates and quantity of the selected chemicals varied spatially and temporally and required a GIS approach to evaluate county-wide patterns. The frequency of pesticide application was found to be linearly related to the economic value of crops. Application patterns did not coincide with well site information.
The modeled GIS estimates of pesticide concentration in groundwater and the identified areas of potential leaching provide a direct view of the degree of dispersion and spatial patterns of pesticide groundwater contamination in Tulare County. This type of information enhances public awareness of the potential for soil contamination and is of direct benefit to farmers, researchers, public officials for environmental planning, health and safety efforts, and mitigation activities. These maps also provide an improved understanding of the nature of the spatial interrelationships between pesticide contamination, cropping systems, soil characteristics and groundwater depth. These results can be used by regulatory agencies and health services to improve the efficiency of pesticide use and to suggest guidelines for management alternatives in sustainable agriculture.
Based on this research, we recommend that pesticide application procedures
be revised to consider the potential for contamination and off-site transport.
GIS appears to be a feasible method to track the spatial and temporal patterns
of the many variables involved, to monitor and evaluate current conditions,
and to model future trends. Furthermore, environmental protection, sustainable
agriculture and timely guidance to farmers can be optimized through well
designed monitoring programs that sample the potential pollutants regularly
enough to permit accurate inferences from spatial statistical analysis.
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