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Background: 2TThe growing population and increasing needs to agricultural products increased use of pesticides resulting in contamination of the environment, including water. The purpose of this study was to 2Tdetermination2T of 2Tpesticide residues2T in agricultural water resources in Barzok city of Kashan in 2011. Materials and Methods: 2TThis study as a descriptive and cross-sectional study that was conducted at spring season. That totals of 135 samples of the agricultural water resources of Barzok were 2Tcollected2T randomly and mixtures from different stations. After extraction and preparation of samples, the 2Tpesticide residues2T were determined by using the HPTLC (High Performance Thin Layer Chromatography) devices and CATS4 software. Finally, obtained data were analyzed by using ANOVA statistical 2Tmethods2T. Results: 2TThe results of this study showed that maximum amount of diazinon and chlorpyrifos has been 22.43 and 11.79 ppm respectively, and the2T pesticide residues2T have declined gradually overtime of (p<0.001).Furthermore, after a month 95.9% of Chlorpyrifos and 88.8% of diazinon is degraded. Conclusion: 2TAccordingly, the remaining of diazinon and chlorpyrifos after a month of spraying was higher than determined limited standards. Because Chlorpyrifos is broken down rapidly more than diazinon, it is recommended that besides educating farmers on the proper use of pesticides, unnecessary contact with the water resources of this region must stop at least one month after spraying. [ABSTRACT FROM AUTHOR]

This research aims to evaluate the presence and distribution of pesticides in Babolrood River of Mazandaran Province in Iran. Mean diazinon levels in surface water ranged from 77.6 to 101.6 μg L with maximum level of 768.9 μg L and mean malathion levels ranged from 55.7 to 75.9 μg L with maximum level of 506.6 μg L. The residues of malathion and diazinon pesticides in all of the stations, 2 weeks after spraying, were more than allowed limits. [ABSTRACT FROM AUTHOR]

The aim of this study was to investigate the applicability of the adsorption process for the removal of organophosphorus pesticide malathion 57% from water by using multi-walled carbon nanotubes (MWCNTs). The impact of various experimental conditions such as pH, quantity of adsorbent, concentration of pesticides, contact time and temperature was studied and optimized for the maximum removal of malathion. Unlike conventional optimization, a limited number of experiments (26 steps) were performed in a cost-effective manner for different independent variables such as MWCNTs concentration (0.1–0.5 g/L), the malathion (57%) concentration (6 mg/L and 10 mg/L), contact time (2–30 min) and pH (neutral range). Based on the experimental data obtained in a lab-scale batch study, a three-factor response surface modeling (RSM) approach was implemented in order to optimize the conditions for maximum removal of malathion, and compare experimental results with standardized malathion samples. The optimized conditions to achieve the maximum removal of malathion (100%) were determined to be a malathion concentration of 6 mg/L, an initial MWCNTs concentration of 0.5 g/L, and a contact time of 30 min. Findings of this study clearly indicated that 100% of the malathion could be cost-effectively removed by MWCNTs in conditions predicted by the proposed optimization methodology. [ABSTRACT FROM AUTHOR]