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| CICEET Progress Report for the period 8/01/03 through 2/01/04 Project Title: Atmospheric Deposition of Currently Used Pesticides to the St. Jones River Reserve and Upper Delmarva Peninsula
Accomplishments
Progress on Tasks
Task 2 has been attempted for one sitepesticide combination i.e., metolachlor for Horn Point. Progress on Task 3 is being made. A GC has been adapted and columns manufactured to perform vapor-particle partitioning determinations. We are in the process of calibrating the experimental setup. Additionally to the above mentioned tasks, in November 2003 we also conducted a seminar/workshop at Lewis were all our collaborators and researchers from the 3 different sites were present. We discussed the next steps on data analysis so it would be useful to on-site researchers, information transfer, and we intent to have another workshop sometime next fall in Delaware.
Difficulties Encountered
Anticipated Success in Meeting Project Objectives in Scheduled Project Period
Preliminary Results
The herbicides were generally not detected in precipitation after September. However, pendimethalin was detected in two samples in October 2001 and metolachlor in a few samples in October 2002. The herbicides were frequently detected in the samples from March, 2002 which suggests that either the herbicides are being applied earlier than believed or influence from sources further south. Metolachlor and atrazine were the most frequently detected herbicides. Overall, in all of the 193 samples collected from April-mid September over 4 years, metolachlor was the most frequently detected herbicide (in 70% samples) followed by atrazine (47%), alachlor (26%) and acetochlor (18%) (See Figure 1). In order to estimate the amount of pesticides being deposited to the region by wet deposition, the fluxes of pesticides in rainfall were computed as the mass of pesticide falling per unit area from April- mid September. Figure 2 gives an overview of the herbicide flux in different months over the four years. Trifluralin has not been analyzed thus far for samples from 2003. It is seen that the most herbicide fluxes are confined to the months of April to July. Metolachlor and atrazine dominate the fluxes. 2001 and 2002 had much smaller herbicide fluxes than 2000 and 2003. Assuming that application patterns and amounts applied are more or less constant over the years; wet deposition appears to be strong function of rainfall amount. That is to say, the more it rains, the higher the wet deposition of the pesticide will be. The total herbicide fluxes also follow the sequence of number of rain events from April-September in a given year: 2003 > 2000 > 2002 > 2001. Comparison of metolachlor wet deposition flux to the estimated usage in the Maryland counties on the eastern shore reveals a high correlation (See Figure 3). This suggests that the source of the herbicide in wet deposition is mainly local.
Pesticides in air over the Peninsula
For most pesticides currently in use (atrazine, endosulfans etc.) the concentrations peak during the application periods and are considerably lower during the rest of the year. The concentration pattern suggests that temperature is not the only factor governing the atmospheric concentrations. There is considerable non-linearity and scatter in the Clausius Clapeyron plot for a-endosulfan (see Figure 4) and temperature only explains about 40 % variation in the concentration. As has been suggested (Cortes et al., 1999) the atmospheric concentration for pesticides currently in use is highly dependent on the agricultural cycle. We are in the process of determininng the half-lives of the pesticides frequently detected in the air the Peninsula, taking into account the agricultural usage in the region using the model developed by Cortes et al. (1999) in order to determine the atmospheric half-lives is the first step in quantifying the effect that agricultural usage has on atmospheric concentrations.
Tasks and activities for next reporting period
The other objective is to further analyze the air concentration data so as to obtain useful information about the fate of pesticides in the atmosphere of the Delmarva Peninsula. The air concentration data will be used to determine the vapor-particle partitioning of select pesticides under field conditions and compare them to the predictions of the Junge-Pankow model (Junge, 1977; Pankow, 1987). This will involve the use of both filter PUF concentration data (Bidleman and Harner, 2000). The gaseous air concentration data from Horn Point shall be used to determine the influence of local usage on aerial concentrations of currently used pesticides and the half-lives of pesticides no longer in use. To achieve this objective the air concentration data of pesticides will be analyzed as per the approach developed by Cortes et al. (1998, 1999) to link the observed aerial concentration to temperature, time and agricultural pesticide application cycle. The vapor-particle partitioning experiments shall be conducted to elucidate the influence of temperature and relative humidity on vapor-particle partitioning.
Work plan to accomplish tasks
Cortes et al. (1998, 1999) have developed a method to analyze the gas-phase partial pressures of semivolatile organic compounds (SVOCs) which involves modifying the basic Clausius Clapeyron equation to account for temperature, decay and agricultural cycle. The agricultural cycle is approximated by a Laurentzian function. The data for the Horn Point site for select pesticides shall be analyzed by the techniques developed by these authors. For the determination of field partitioning coefficients, the data form Horn Point for 2002 and 2003 shall be used and analyzed as per the technique suggested by Bidleman and Harner (2000). The experimental set up for the laboratory experiments on vapor-particle partitioning shall be completed and the experiments will be conducted for select pesticides as per the approach developed by Goss (1992, 1993).
Concerns or difficulties
Expenditures
References
Cortes, D.R., Basu, I., Sweet, C.W., Brice, K.A., Hoff, R.M. and Hites, R.A. Environ. Sci. Technol., 1998, 32(13), 1920-1927. Cortes, D.R.; Hoff, R.M.; Brice, K.A. and Hites, R. A. Environ. Sci. Technol., 1999, 33(13), 2145-2150. Goss, K.-U. Environ. Sci. Technol. 1992, 26, 2287-2294. Goss, K.-U. Environ. Sci. Technol. 1993, 27(10), 2127-2132. Junge, C.E. In Fate of pollutants in the air and water environments: Part 1. Mechanisms of interactions between environments and mathematical modeling and the physical fate of pollutants”, ed. Suffet, I.H., 1977, Wiley, New York, pp 7-25. Pankow, J.F. Atmos. Environ. 1987, 21(11), 2275-2283. |
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