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The greatest number of pesticides are recorded in the months of May, July,September and November (see Figure 3). These figures derive from measurementsat around 400 monitoring sites (www.bestrijdingsmiddelenatlas.nl). In the wintermonitoring takes place at considerably fewer sites. This varied monitoring intensityis geared to the months in which most crops have their growing season and are thusstill in the field. And this has a direct relation with the months in which pesticide useis highest.In the months of February to August the percentage of compounds exceeding thestandards is often around 10%. In October this percentage peaks further, witharound 15% of the pesticides monitored exceeding the MPC. In this particularmonth about 300 compounds are included in the monitoring programme. The lowestpercentage of exceedances occurs in the winter months of November and December.These colder and often wetter months are obviously outside the growing season formany crops, implying less pesticide use, with the possible exception of soilfumigants used to prepare the soil for the next early growing season. During thisperiod monitoring is often focused more on the larger watercourses into whichmultiple streams flow. It should be noted, though, that there is little variation in thepercentage of compounds exceeding the standards in the course of the year, varyingessentially between 5 and 10% of the compounds. All in all, then, year-roundmonitoring of water quality, even outside the growing season of many crops, is byno means superfluous.Which compounds cause most breaches of MPC standards?Table 1 shows the compounds that exceeded the MPC most frequently in 1998,2004 and 2009, ranked according to degree of exceedance using the followingprocedure. a) Compounds are ranked on the basis of the weighted number ofmonitoring sites at which the MPC for the compound was exceeded, i.e. correctingfor the number of monitoring sites by taking the percentage exceedance of thestandards. b) Compounds monitored at fewer than ten sites have been ignored. c)Allowance has been made for the degree of standards exceedance, weighting theresults according to the following classes: 0 ( MPC and 2x MPC and 5x MPC exceedance). The compounds areAcademyPublish.org - The Impact of Pesticides196
anked on the basis of the degree of exceedance per monitoring site and the numberof sites where the compound in question was monitored.Table 1 Pesticides most frequently exceeding the MPC in 1998, 2004 and 2009,ranked according to the degree of exceedance, as explained in the text.yearcompoundno. ofmonit. sites%exceedanceno. ofwaterboardsno. ofmeasurements%exceedance2009 Captan 38 47 4 194 13Desethylterbuthylazin200963 37 4 299 102009 Imidacloprid 452 44 26 2133 282009 Triflumuron 24 21 2 142 42009 Dicofol 24 17 2 142 32009 Omethoaat 31 16 3 169 32009 Foraat 51 14 3 313 22009 Captafol 15 27 1 29 142009 Fipronil 69 12 6 230 72009 Pyraclostrobin 66 17 5 341 7yearcompoundno. ofmonit. sites%exceedanceno. ofwaterboardsno. ofmeasurements%exceedance2004 Imidacloprid 171 44 14 819 292004 Fenamifos 21 33 4 70 172004 Aldicarbsulfoxide 47 34 6 246 202004 ETU 19 26 2 118 62004 Pirimifos-methyl 161 20 15 899 72004 Chloorpyrifos 153 16 15 847 32004 Abamectine 63 13 9 292 92004 Carbendazim 211 17 19 1040 12yearcompoundno. ofmonit. sites%exceedanceno. ofwaterboardsno. ofmeasurements%exceedance1998 Tetrachloorvinfos 24 71 2 288 141998 Pirimifos-methyl 43 67 4 361 341998 Bromofos-methyl 29 48 3 308 71998 Difenoconazool 20 35 2 189 51998 Aldicarbsulfoxide 38 61 4 246 261998 Propoxur 80 33 10 457 81998 Fenthion 46 43 6 426 261998 DDT, 24 en 44 46 22 7 263 441998 Telodrin 117 21 12 567 22AcademyPublish.org - The Impact of Pesticides197
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The Impactof PesticidesEdited by:Pr
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Other access free resources from Ac
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The Impact of PesticidesPrepared an
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Table of Contentsp.203-p.224 Behavi
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About authorspublished by Elsevier.
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About authorsof medical researchers
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About authorsdifferent spatial scal
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About authorsEducation:Bachelor’s
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About authorsSensors - A Nanotechno
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Section 1HUMAN EXPOSURE TO PESTICID
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ecently explored on preliminary stu
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individuals within 1 day (Jokanovic
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occupational environmental health r
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must be considered, since effective
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Jensen BH, Petersen A, and Christen
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Ragas AMJ, and Huijbregts MAJ (1998
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Weichenthal S, Moase C, and Chan P
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human poisoning, general acute symp
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Management of the cholinergic syndr
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1982; Lotti, 1992; Jokanović et al
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exposed populations, revealed high
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DiazepamBenzodiazepines are CNS dep
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Among the many classes of oximes in
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inhibited by dichlorvos (a dimethox
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Dawson, 1995). It appears that the
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Eddleston M, Eyer P, Worek F, Moham
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Jokanović M, Kosanović M (2010b).
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Ray DE (1998). Chronic effects of l
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Worek F, Eyer P, Kiderlen D, Thierm
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developing countries is due to suic
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count and morphology, as well as se
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PON1 modulation of genetic damageFe
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elationship between OP exposure and
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Blatter-Garin MC, James RW, Dussoix
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Hung RJ, Hall J, Brennan P, Boffett
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Rojas-García AE., Solís-Heredia M
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Occupational Exposure to Pesticides
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considered as conditions typical of
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observed adverse health outcome. Su
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within cells can oxidize biomolecul
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of the study. A face-to-face questi
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PesticidesFungicideInsecticide-Nema
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Table 4. Mixtures of pesticides use
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In pesticide applicators, Table 7 s
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DISCUSSIONThe agricultural workers
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changes in the antioxidant enzyme C
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Bajpayee, M.; Pandey, A. K.; Parmar
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Environmental health criteria 155.
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Palus, J.; Rydzynski, K.; Dziubalto
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Singh, N.P.; McCoy, M.T.; Tice, R.R
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INTRODUCTIONPopulations may be occu
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exposure scenarios on the basis of
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not present adverse health effects
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greenhouse workers exposed to malat
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Paraoxon is then either metabolized
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cyclohexene-1,2-dicarboximide, CAS
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metabolite of phthalates, such that
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scenarios were simulated, assuming
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Table 2. Biological reference value
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References N a urinarybiomarkeStudi
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Figure 2. Representation of a BRV d
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Figure 4. Conceptual representation
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Figure 6 Conceptual representation
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REFERENCESACGIH, 2011. Documentatio
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Bradway, D.E., Shafik, T.M., 1977.
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EPA, 1999b. Registration Eligibilit
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Hines, C.J., Deddens, J.A., Jaycox,
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McCollister, S.B., Kociba, R.J., Hu
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Verberk, M.M., Brouwer, D.H., Brouw
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important IGFBP for binding IGF-1 i
Page 146 and 147: secretion of IGF-1 (Tannheimer et a
Page 148 and 149: FIGURESFig. 1. An “hormetic” ef
Page 150 and 151: Landi F, Capoluongo E, Russo A, Ond
Page 152 and 153: Smith WJ, Underwood LE, Clemmons DR
Page 154 and 155: Section 2PESTICIDES IN THEENVIRONME
Page 156 and 157: vicinity of subsoil waters and ther
Page 158 and 159: Hieracium pilosella, southernwood -
Page 160 and 161: formed clusters (Figure 3). Ultrast
Page 162 and 163: Fig. 5. Fragment of hepatocyte of t
Page 164 and 165: Szarek, J, Skibniewska, K, Wojtacka
Page 166 and 167: negative effects (ZALUCKI et al., 2
Page 168 and 169: Figure 2. Appropriated sampling pro
Page 170 and 171: Figure 4. Illustration of the conse
Page 172 and 173: (HAILE et al., 1998). Earlier resul
Page 174 and 175: Table 1. Distribution of the applic
Page 176 and 177: Means followed by the same letter i
Page 178 and 179: (involving pests and natural enemie
Page 180 and 181: efore the pest emergence and their
Page 182 and 183: Table 3 (continuation)…AcademyPub
Page 184 and 185: Table 5. Effect of different fungic
Page 186 and 187: Table 6. Magament used including do
Page 188 and 189: adopted by Brazilian soybean grower
Page 190 and 191: Pickle, C.S.; Caviness, C.E. Yield
Page 192 and 193: This chapter reports on Dutch surfa
Page 194 and 195: several different occasions at any
Page 198 and 199: Accumulated ExceedanceIt is useful
Page 200 and 201: For the years 2003-2009 the calcula
Page 202 and 203: Bonzini S, Verro R, Otto S, Lazzaro
Page 204 and 205: atios of the pesticide amounts in t
Page 206 and 207: Table 1. (Cont.) Runoff ratios of p
Page 208 and 209: mefenacet and simetrin were observe
Page 210 and 211: Table 2. (Cont.)Pesticide concentra
Page 212 and 213: Table 2. (Cont.)Pesticide concentra
Page 214 and 215: Fig. 3. Typical weekly variation of
Page 216 and 217: (BAM) in water (Pukkila et al. 2009
Page 218 and 219: Table 5. Concentrations of pesticid
Page 220 and 221: Table 6. Maximum concentrations of
Page 222 and 223: Iwafune, T, Inao, K, Horio, T, Iwas
Page 224 and 225: Suzuki, M, Takemine, S, Yoshida, M,
Page 226 and 227: factor, etc. Levels of pesticides i
Page 228 and 229: factor of 10 above ambient sea wate
Page 230 and 231: weight sample. Minimum were shown f
Page 232 and 233: Figure 3. DDTs in mussel samples fo
Page 234 and 235: Figure 5. HCB in mussel samples for
Page 236 and 237: Figure 8. Methoxychlor in mussel sa
Page 238 and 239: ACKNOWLEDGEMENTAuthors thank UNEP/M
Page 240 and 241: Pesticide Risk Index of Del Azul Wa
Page 242 and 243: on that presented in Swanson et al.
Page 244 and 245: eference value for that substance.
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predict the aquatic toxicity of a s
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Calculation Model of Aggravating Fa
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To estimate the values of Human Hea
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water in comparison with the durati
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Cypermethrin (95 th percentile (P 9
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Table 8 shows the results of the De
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are many ranking systems of dangero
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REFERENCESAres J. (2004). “Estima
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Mackay D. and Paterson S. (1991).
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Long-term Monitoring of Pesticides
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Sampling sites of the survey in 200
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than those in Lake Biwa and Seta Ri
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Fig. 7 Detection of fungicides in R
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Fig. 11 Detection of herbicides in
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Monitoring of pesticides in Yanamun
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A measured volume (1000 mL) of the
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SimetrynePretilachlorConcentration
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Fig. 18 Maximum concentrations of t
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Ecological risk assessmentFig. 20 Y
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REFERENCESAgradi E, Baga R, Cillo F
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Time Trend Variation of Selected Pe
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Table 1. Physical and chemical prop
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marketed under variety of trade nam
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Figure 3. Long-term trends of globa
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laboratory animals fed or injected
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fed for a lifespan at 5-1,600 mg/kg
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Soil samplingSoil sampling was foll
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Figure 5. Map showing sampling area
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concentration (MAC) in surface soil
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Table 7. Concentrations of HCH isom
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Shanghai and Guanting Reservoir (Ch
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Contrary to the results of ΣDDT, t
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DDT metabolites, the ratio of (p,p
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2001). Therefore, the predominance
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Mean concentration (ng g -1 dw)3002
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CONCLUSIONSAn evaluation of selecte
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Hung, D.Q., Thiemann, W., (2002),
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Viet, P.H., Hoai, P.M., Minh, N.H.,
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found in tissues or fluids samples
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Study area and SamplingThis study w
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the liver, mainly to p,p'-DDE and p
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33,370 ha, whilst that of woody cro
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Increase in crops area (x1000)Ha)25
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Table 1. Blood concentrations of or
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Council Directive 90/533/EEC of 15
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Konstantinou, IK, Goutner, V, Alban
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Smith, AG (2004). “Toxicology of
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Pesticides are used in order to pro
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EXPERIMENTALMaterialsIsoproturon wa
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RESULTS AND DISCUSIONEquilibrium is
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As seen in Table 4, as the concentr
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Fig.4. Breakthrough curves of isopr
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Fig.6. Breakthrough curves of isopr
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Fig.8. Experimental and theoretical
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Section 3PESTICIDE ANALYSISAcademyP
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scandal’ are familiar to the gene
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ecoveries (>70%) for certain pH-dep
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Due the versatility of the QuEChERS
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of application, with some still sca
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The main supercritical solvent used
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extracting the pesticides from the
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would be appropriate for the routin
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chromatography with negative-ion el
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GPC was applied as a nondestructive
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Charlton A.J.A., Stuckey, V. (2009)
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Lehotay, S.J., Mastvoska, K. & Yun,
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Rodrigues, F. M., Mesquita, P. R. R
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Analytical methods to assess the im
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acetylcholine, a neurotransmitter t
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1.3 to 22.3% for all pesticides. Li
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Malathion, parathion, fenitrothion,
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Fuller, BH and Berger, GMB (1990).
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Table 1. Largest exporters of coffe
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Fig. 1: Structures of (a) Phosphate
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ELECTROCHEMICAL BIOSENSORBiosensors
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inorganic and organic species a lar
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surface area and be easily modified
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Acetylcholine + H 2 O AChE Choline
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Wang, 2010) and tetracyanoquinodime
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PDDA/AChE/PDDA/CNT/GCAChE-Au-PPy/GC
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ng/mL and good precision (RSD ) 5.3
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FUTURE PERSPECTIVESThe detection of
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Du, D; Wang, M; Cai, J; Qin, Y; Zha
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Martorell, D; Cespedes, F; Fabreaga
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The Pesticide Action Network (PAN).
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About EditorMilan JokanovićProfess
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THE IMPACT OF PESTICIDESPesticides
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