Open access peer-reviewed chapter

Development of a Method for Prediction of Risk of Surface and Groundwater Contamination with Pesticides and Their Dangerous Aspects for Human Health

By Anna Antonenko, Olena Vavrinevych, Maria Korshun and Sergiy Omelchuk

Submitted: July 13th 2018Reviewed: December 17th 2018Published: January 24th 2019

DOI: 10.5772/intechopen.83600

Downloaded: 222


The probability of groundwater contamination is high enough because groundwater has different origins: a majority of them are formed by atmospheric precipitation filtration through soil layer or due to condensation of water vapors directly into the ground. Pesticides could be one of such hazardous groundwater pollutants. We developed two methods for the hazardous effect on human organism while consuming contaminated water prediction: risk acceptance assessment and integral groundwater contamination hazard index (IGCHI) evaluation in points according to special scale.


  • groundwater
  • surface water
  • hazard
  • pesticide
  • leaching
  • health

1. Introduction

Growing of world population, agriculture, and industrial development led to the increase of ecotoxicants in environmental pollution. Among these ecotoxic substances, pesticides have a special place [1, 2]. Migrating through the soil profile, pesticides create the danger of groundwater contamination that requires their constant control and monitoring [1, 2]. Some older and cheap pesticides, whose application is forbidden in developed countries but are still used in a lot of developing countries, can persist in soil, ground, and surface water for years [3].

At the present time, around 65% of European and 70% of Ukrainian rural and urban population have been using ground (shaft wells) and middle water (artesian wells) for drinking.

As groundwater forms in two ways, (1) water from atmosphere precipitations filtrates through soil or (2) condensation of vapors into the ground, the possibility of groundwater chemical contamination is rather high [4].

That is why prediction of the risk of groundwater contamination with different classes of pesticides, as well as hygienic assessment of their impact on public health is very actual nowadays.

2. Prediction of the risk of ground and surface water contamination with pesticides and its danger to human health in areas with irrigation farming

The prediction of migration opportunities in groundwater of pesticides in different soil and climatic conditions could be carried out by a number of indices.

For example, leaching potential index [groundwater ubiquity score (GUS)] [4] is calculated using the below formula:


where τ50—half-life in soil, days; and

Кос—sorption coefficient of organic carbon.

For the assessment of GUS values, we have used net approach: probability of pesticide leaching into groundwater is present (GUS > 2,8); probability of pesticide leaching into groundwater is possible (GUS < 1,8); pesticides possibly not leached into groundwater (GUS = 1,8–2,8) [5].

US Environmental Protection Agency (EPA) has developed SCI-GROW screening method for the determination of maximum pesticide concentration in groundwater [6], and this model is widely used. SCI-GROW index counts the substance’s half-life period in soil, organic carbon sorption coefficient, and pesticide application rate and frequency. The calculation gives the highest possible groundwater concentration of substance in mg/l.

Unfortunately, GUS index has disadvantages. For example, not all significant parameters that can influence the behavior of pesticide in the system “ground-water” are taking into account; run-off to surface water cannot be assessed using this value.

LЕАСН index is better. It determines also the possibility of river contamination and takes into account the maximum number of parameters that can influence the transition of pesticides from soil into other mediums.

The index of potential contamination of groundwater and river water LEACH was calculated according to the below formula [7]:


where Sw—water solubility, mg/l;

DT50 field—half-life period substances in the soil in natural conditions, day; and

Koc—organic carbon (o.c.) sorption coefficient, ml/g o.c.

Evaluation of the index: 0,0–1,0-low risk of pollution (3 class), 1,1–2,0-average (moderate) risk (2 class), and >2,0-high risk (1 class).

But all the above listed indices characterize only the potential of pesticide penetration into groundwater and surface water without the possibility of evaluation of risk for human organism while consumption of contaminated water.

So, method of comprehensive assessment of pesticides leaching into the water possible adverse effects on humans developed by us has been used for the SCI-GROW evaluation [8]. The principle of complex hygienic regulation takes into account the possibility of pesticide intake through inhalation, with drinking water and food and its safe levels, is in the base of this method. Pesticide acceptable daily intake with water (PADIW) compares with pesticide maximum possible daily intake with water (PMDIW), which ways of calculations in 3 steps is given below (Figure 1).

Figure 1.

A method for assessing the risk of adverse effects of pesticides on human health when consuming contaminated water. Notes: SCI-GROW—screening concentrations of pesticides in groundwater, μg/l; V—daily intake of water by human, l (3 l—in temperate climate, 5–10 l—in hot climate); ADI—acceptable daily intake of pesticide, mg/kg; М—average weight of person (60 kg); 1000—factor for conversion in micrograms.

Initially, one needs to calculate the SCI-GROW using computer program from EPA official Website. This indicator is based on the actual results of field studies; therefore, it gives the most realistic values. In order to obtain the maximum possible value of pesticide intake with water (PMDIW) by humans, SCI-GROW index is multiplied by the average daily consumption of water (for persons living in temperate climate-3 L, for those living in hot climate-5 to 10 L).

To evaluate the obtained indicator, it is necessary to calculate the permissible level of pesticide intake with water (PADIW). For this, firstly, the allowable daily dose (ADI) must be multiplied by the average weight of a person (M) (60 kg for nonprofessional contingents and 70 kg for professionals). Based on the principles of complex hygienic regulation, the amount of pesticide that entered the human body with water should not exceed 20% of the permissible daily intake. Therefore, the indicator obtained earlier is multiplied by 0.2.

Finally, the values of PMDIW and PADIW should be compared (R). If the R value is ≤1, risk is considered to be acceptable; and if R > 1, risk is not acceptable.

Also, we recommend integrated assessment of the potential hazard of pesticide exposure on the human organism when consuming contaminated drinking water to use the scale with four gradations (Figure 2). The scale includes three indices: LEACН, τ50 in water, and acceptable daily intake (ADI) [9, 10].

Figure 2.

Method of hazard prediction of contaminated water by pesticide water effect on human body. Note. Evaluation of the LЕАСН index: 0,0–1,0—low risk of pollution (3 class), 1,1–2,0—average (moderate) risk (2 class), and >2,0—high risk (1 class).

These three indicators mostly reflect the danger of a pesticide, when ingested with water. LЕАСН displays the maximum possible risk of contamination of water supply sources, both underground and surface, taking into account, the physical properties of the main pesticide and stability in soil. τ50 displays the possibility and duration of the presence of the pesticide in the potentially drinking water. ADI, the main and integral pesticide toxicity index, shows the possibility of the realization of the toxic effects of a substance, when it is present in water for a long period.

For testing proposed by us, methods of risk assessment of pesticide-contaminated drinking water, we have studied widely used in agriculture representatives of the most perspective chemical classes of herbicides, fungicides, and insecticides (Tables 13). The main physical and chemical properties of studied compounds are given in Table 13.

Trade nameChemical name (IUPAC)lg KowSolubility in water, mg/lКос
Difenocona-zole3-chloro-4-[(2RS.4RS;2RS.4SR)-4-methyl-2-(1H-1.2.4-triazol-1-ylmethyl)-1.3-dioxolan-2-yl]phenyl 4-chlorophenyl ether4.215.03760
Pyraclostrobinmethyl {2-[1-(4-chlorophenyl)pyrazol-3-yloxymethyl]phenyl}(methoxy)carbamate3.991.99304
Azoxystrobinmethyl (E)-2-{2-[6-(2-cyanophenoxy)pyrimidin-4-yloxy]phenyl}-3-methoxyacrylate2.56.7589
Trifloxystrobinmethyl (E)-methoxyimino-{(E)-α-[1-(α.α.α-trifluoro-m-tolyl)ethylideneaminooxy]-o-tolyl}acetate4.50.612377
Metiramzinc ammoniate ethylenebis(dithiocarbamate) - poly(ethylenethiuram disulfide)1.762.0998
Mancozebmanganese ethylenebis(dithiocarbamate) (polymeric) complex with zinc salt1.336.2500,000
Valifenalemethyl N-(isopropoxycarbonyl)-L-valyl-(3RS)-3-(4-chlorophenyl)-β-alaninate3.1124.11686
Isopyrazammixture of 2 isomers 3-(difluoromethyl)-1-methyl-N-[(1RS.4SR.9RS)-]pyrazole-4-carboxamide and 2 isomers 3-(difluoromethyl)-1-methyl-N-[(1RS.4SR.9SR)-]pyrazole-4-carboxamide4.250.552416
Sedaxanemix of: trans-isomers 2′-[(1RS.2SR)-1.1′-bicycloprop-2-yl]-3-(difluoromethyl)-1-methyl-1H-pyrazole-4-carboxanilide and 2 cis-isomers 2′-[(1RS.2RS)-1.1′-bicycloprop-2-yl]-3-(difluoromethyl)-1-methyl-1H-pyrazole-4-carboxanilide3.314.0534
Benalaxyl-Mmethyl N-(phenylacetyl)-N-(2.6-xylyl)-D-alaninate3.6733.07175

Table 1.

Physical and chemical properties of the studied fungicides [11, 12].

Trade nameChemical name (IUPAC)lg KowSolubility in water, mg/lКос
ChlorpyrifosO.O-diethyl O-3.5.6-trichloro-2-pyridyl phosphorothioate4.71.058151
Bifenthrin2-methyl-3-phenylbenzyl (1RS)-cis-3-(2-chloro-3.3.3-trifluoroprop-1-enyl)-2.2-dimethylcyclopropanecarboxylate6.60.001236,610
Cyperme-thrin(RS)-α-cyano-3-phenoxybenzyl (1RS.3RS;1RS.3SR)-3-(2.2-dichlorovinyl)-2.2-dimethylcyclopropanecarboxylate5.30.009156,250
Alpha-cyperme-thrinRacemate comprising (R)-α-cyano-3-phenoxybenzyl (1S)-cis-3-(2.2-dichlorovinyl)-2.2-dimethylcyclopropanecarboxylate and (S)-α-cyano-3-phenoxybenzyl (1R)-cis-3-(2.2-dichlorovinyl)-2.2-dimethylcyclopropanecarboxylate6.940.00457,889
Lambda-cyhalothrin(R)-a-cyano-3-phenoxybenzyl (1S)-cis-3-[(Z)-2-chloro-3.3.3-trifluoropropenyl]-2.2-dimethylcyclopropanecarboxylate and (S)-a-cyano-3-phenoxybenzyl (1R)-cis-3-[(Z)-2-chloro-3.3.3-trifluoropropenyl]-2.2-dimethylcyclopropanecarboxylate5.50.005283,707

Table 2.

Physical and chemical properties of the studied insecticides [11].

Trade nameChemical name (IUPAC)lg KowSolubility in water, mg/lКос
S-metolachlorMix of: (aRS.1S)-2-chloro-6′-ethyl-N-(2-methoxy-1-methylethyl)acet-o-toluidide and (aRS.1R)-2-chloro-6′-ethyl-N-(2-methoxy-1-methylethyl)acet-o-toluidide3.05480226.1
Thiencarbazon-methylMethyl 4-[(4.5-dihydro-3-methoxy-4-methyl-5-oxo-1H-1.2.4-triazol-1-yl)carbonylsulfamoyl]-5-methylthiophene-3-carboxylate−1.98436100
Iodsulfurone methyl-sodiumSodium ({[5-iodo-2-(methoxycarbonyl)phenyl]sulfonyl} carbamoyl) (4-methoxy-6-methyl-1.3.5-triazin-2-yl)azanide1.5925,00045
Sulfonylurea with triazine heterrocycle
Metsulfuron-methylMethyl 2-(4-methoxy-6-methyl-1.3.5-triazin-2-ylcarbamoylsulfamoyl)benzoate−1.87279012.0
Tribenuron-methylMethyl 2-[4-methoxy-6-methyl-1.3.5-triazin-2-yl(methyl)carbamoylsulfamoyl]benzoate0.38248335
Sulfonylurea with pyrimidine heterocycle
Chlorimuron-ethylEthyl 2-(4-chloro-6-methoxypyrimidin-2-ylcarbamoylsulfamoyl)benzoate0.111200106
Imazapyr2-[(RS)-4-isopropyl-4-methyl-5-oxo-2-imidazolin-2-yl]nicotinic acid0.119740125
Imazamox2-[(RS)-4-isopropyl-4-methyl-5-oxo-2-imidazolin-2-yl]-5-methoxymethylnicotinic acid5.36626,00011.6
Imazethapyr5-ethyl-2-[(RS)-4-isopropyl-4-methyl-5-oxo-2-imidazolin-2-yl]nicotinic acid1.49140052
Pyrimidinyl carboxy compound
Bispyribac-sodiumSodium 2.6-bis(4.6-dimethoxypyrimidin-2-yloxy)benzoate−1.0364,000302
Diflufenzopyr2-{(EZ)-1-[4-(3.5-difluorophenyl)semicarbazono]ethyl}nicotinic acid1.09585087

Table 3.

Physical and chemical properties of the studied herbicides [11].

Active ingredient (a.i.)Maximum application rate of a.i., kg/ha50 soil, day50 water, dayAcute oral LD50 (mg/kg) (rat)ADI, mg/kgPDI, mg/day
Difenoconazole0.25085 (20–265)3.014530.010.6
Tebconazole0.17547.1 (25.8–91.6)42.617000.031.8
Penconazole0.16090 (22–115)2.0>20000.031.8
Pyraclostrobin0.10032 (8–55)2.0>50000.031.8
Azoxystrobin0.200180.7 (120.9–261.9)6.1>50000.2012.0
Trifloxystrobin0.1757 (2–12)1.1>50000.106.0
Metiram1.7507 (∼7)0.7>50000.031.8
Mancozeb1.62518 (1)0.2>50000.053.0
Fludioxonil0.25020.5 (8–43)2.0>50000.3722.2
Cyprodinil0.37545 (11–98)12.5>20000.031.8
Pyrimethanil0.48029.5 (23–54)16.541500.1710.2
Valifenale0.3061.9–12.0 hours5.0>50000.074.2
Fluxapyroxad0.126151 (53–424)4.4>20000.021.2
Isopyrazam0.45072 (9.11–173)2.320000.030.6
Penthiopyrad0.39047 (0.8–33.3)9.9>20000.106.0
Sedaxane0.025170 (54.6–188.0)17.3>20000.106.0
Benalaxyl-M0.40044 (36–124)38.0>20000.042.4
Boscalid0.668118 (28–208)9.0>50000.042.4
Acetochlore2.70012.1 (7.0–17.0)40.519290.00360.220
Dimetachlor1.2003.2 (2.3–15.6)10.016000.16.000
Propizochlor2.1607.63 (10.0–15.0)8.522900.0251.500
S-metolachlor1.92021.0 (11.0–31.0)9.025770.16.000
Metasachlor1.2506.8 (26.0–114.0)216.034800.084.800
Thiencarbazone-methyl0.04517.0 (14.0–45.0)118>20000.2313.80
Topramezone0.07526.1 (10.8–69.3)30>20000.0010.060
Isoxaflutole0.11251.3 (0.5–2.4)11>50000.021.200
Mesotrione0.1105.0 (3.0–7.0)>30>50000.010.600
Foramsulfurone0.0455.5 (12.0–15.0)10>50000.2530.00
Iodsulfurone methyl-sodium0.00153.2 (0.8–10.3)3124480.031.800
Glyphosate1.665423.79 (5.7–40.9)2.5>20000.318.00
Tritosulfuron0.050012 (3–21)20.0>50000.159.0
Prosulfuron0.015011.9 (3.8–38.9)173.05460.021.2
Metsulfuron-methyl0.006013.3 (7.3–37.1)224.3>50000.2213.2
Triasulfuron0.006238.5 (16.1–92.4)217.0>50000.010.6
Tribenuron-methyl0.018810 (5–20)139.0>50000.010.6
Rimsulfuron0.012510.8 (5.6–17.7)6.0>50000.16.0
Nicosulfuron0.060019.3 (8.9–63.3)65.0>50002.0120.0
Chlorimuron-ethyl0.009428 (14–42)21.0>41020.021.2
Imazapyr0.055011 (5.9–16.5)30.0>20002.5**156.0
Imazamox0.040016.7 (8.1–14.0)233>50009.0540.0
Imazethapyr0.120051.0 (14.0–290.0)520>50000.4426.4
Bispyribac-sodium0.04506.3 (2.1–7.6)35.326350.010.6
Diflufenzopyr0.06804.5 (8.0–18.0)24.0>50000.2615.6
Chlorpyrifos0.72027.6 (0.32–88.9)36.5660.0010.060
Dimethoate0.6007.2 (4.6–9.8)15.52450.0010.060
Bifenthrin0.06086.8 (5.4–267.0)
Cypermethrin0.07521.9 (14.0–199.0)17.02870.053.000
Alpha-cypermethrin0.03042.6 (14.0–112.0)21.0400.0150.090
Lambda-cyhalothrin0.042426.9 (10.1–47.5)15.1560.00250.150
Thiamethoxam0.15039.0 (7.0–72.0)40.0>15630.0261.560
Imidacloprid0.060174 (104.0–228.0)129.01310.063.600
Tebufenpyrad0.1604.5 (0.05–22.4)90.0>2020.010.600
Chlorantraniliprole0.050204.0 (123.0–561.0)170.0>50001.5693.60
Novaluron0.06096.5 (33.0–160.0)17.5>50000.010.600

Table 4.

The conditions of studied pesticides’ application and stability [9, 10, 11, 13, 14].

Note. PDI: permissible daily intake of pesticide.

**The table gives the initial data for the evaluation and shows the results of calculations of the index proposed by us (testing the method).

The conditions of studied pesticides application and stability are given in Table 4.

International IUPAC classification [15] was used to assess the literature data about the stability and mobility of substances in the soil. The first includes three classes: 1-highly persistent (with DT50 more than 100 days), 2-moderately persistent (30–100 days), and 3-low persistent (less than 30 days).

According to IUPAC classification [15], most of fungicides and insecticides by persistence in soil may be attributed to moderately persistent (2 class); all herbicides, to low persistent (3 class). Exceptions are highly persistent insecticides, imidacloprid and chlorantraniliprole; fungicides, sedaxane, boscalid, fluxapyroxad, and azoxystrobin; and moderately persistent herbicides, triasulfurone and imazethapyr (Table 3). It should be noted that these literature data are very average. For example, in the soil and climatic conditions of the southern and southeastern European countries, including Ukraine, the transformation of the studied substances occurs much faster due to microbiological degradation (typical for these regions, black soils are rich in microflora) [8].

Half of the studied herbicides and insecticides are resistant or highly resistant in water, as they are poorly decomposed by photolysis and hydrolysis. Fungicides are much less resistant (Table 3).

It was found that according to GUS index, there is no risk of leaching into groundwater for most of the studied herbicides; for the rest, it is low. Only for one fungicide (topramezone) and most of insecticides, the risk of groundwater leaching is high (Table 5). It could be explained by their high toxicity (very low ADI values) and relatively high persistency in soil and water (Table 4).

Active ingredientGUSSCI-GROW (μg/l)LeachIGCHI
Difenoconazole0.91.79 × 10−23.391 × 10−1363
Tebconazole2.02.77 × 10−11.9599 × 10+0272
Penconazole1.363.38 × 10−22.9796 × 10+0134
Pyraclostrobin0.055.52 × 10−36.500 × 10−3353
Azoxystrobin2.601.98 × 10−12.0555 × 10+0144
Trifloxystrobin0.531.43 × 10−51.800 × 10−3353
Metiram0.005.35 × 10−31.40 × 10−2353
Mancozeb−1.002.84 × 10−62.000 × 10−4353
Fludioxonil−2.485.35 × 10−33.000 × 10−4353
Cyprodinil1.012.33 × 10−22.569 × 10−1372
Pyrimethanil2.651.90 × 10−11.19 × 10−2372
Valifenale−0.681.97 × 10−50.0071 × 10−3363
Fluxapyroxad2.571.85 × 10−17.135 × 10−1363
Isopyrazam1.474.01 × 10−21.64 × 10−2353
Penthiopyrad2.331.31× 10−11.57 × 10−2363
Sedaxane2.591.85 × 10−44.46 × 10+0182
Benalaxyl-M0.419.34 × 10−32.024 × 10−1382
Boscalid2.562.10 × 10−17.031 × 10−1363
Acetochlore1.582.58 × 10−23.073 × 10+1182
Dimetachlor1.768.68 × 10−35.20 × 10+2144
Propizochlor1.361.26 × 10−24.68 × 10+0144
S-metolachlor1.914.85 × 10−26.581 × 10+1144
Metasachlor2.174.73 × 10−29.50 × 10+2163
Thiencarbazone-methyl2.461.03 × 10−11.962 × 10+2163
Topramezone5.060.567 × 10−12.336 × 10+4182
Isoxaflutole0.591.28 × 10−39.244 × 10+2163
Mesotrione1.474.13 × 10−31.400 × 10+1172
Foramsulfurone1.564.63 × 10−36.333 × 10+2144
Iodsulfurone methyl-sodium0.711.64 × 10−35722 × 10+3163
Glyphosate−0.365.35 × 10−31.979 × 10+1134
Tritosulfuron2.812.43 × 10−14.00 × 10−2372
Prosulfuron5.114.17 × 10+03.61 × 10+0172
Metsulfuron-methyl3.996.89 × 10−18.626 × 10+3163
Triasulfuron5.124.13 × 10+01.255 × 10+3172
Tribenuron-methyl2.404.17 × 10−21.419 × 10+3172
Rimsulfuron3.233.17 × 10−12.569 × 10+3144
Nicosulfuron3.252.38 × 10−11.583 × 10+4163
Chlorimuron-ethyl3.163.55 × 10−14.755 × 10+2163
Imazapyr1.984.02 × 10−21.286 × 10+3153
Imazamox6.763.92 × 10+12.026 × 10+2163
Imazethapyr6.192.59 × 10+17.808 × 10+3163
Bispyribac-sodium1.683.41 × 10−21.611 × 10+3172
Diflufenzopyr2.367.85 × 10−21.210 × 10+3153
Chlorpyrifos0.176.45 × 10−31.15 × 10−23111A
Dimethoate1.062.36 × 10−31.38 × 10+4182
Bifenthrin−2.765.35 × 10 − 31.13 × 10−6391B
Cypermethrin−2.195.35 × 10−31.15 × 10−5372
Alpha-cypermethrin−1.535.35 × 10 − 37.74 × 10−6382
Lambda-cyhalothrin−3.285.35 × 10 − 38.37 × 10−7391B
Thiamethoxam4.693.14 × 10+05.25 × 10+3163
Imidacloprid3.749.29 × 10 − 16.18 × 10+2163
Tebufenpyrad0.581.11 × 10−28.93 × 10−3391B
Chlorantraniliprole4.221.86 × 10+01.36 × 10+0272
Novaluron0.025.20 × 10−35.00 × 10−5382

Table 5.

Ground and surface water migration parameters of studied pesticides [8, 9, 10, 13, 14].

The calculated maximum possible concentrations of the studied fungicides, herbicides, and insecticides SCI-GROW in groundwater indicate that the risk to humans when consuming such water is acceptable (Table 5). SCI-GROW values exceed 1 μg/l only for triasulfurone, imazamox, imazethapyr, and chlorantraniliprole. But the high risk will not be realized as shown in Table 5; IGHI values for these pesticides are 7, 6, 6, and 7, respectively.

According to IGCHI index, fungicides, penconazole and azoxystrobin; herbicides, dimetachlor, propizochlor, s-metolachlor, foramsulfurone, glyphosate, and rimsulfuron are less hazardous for human organism in case of consuming contaminated water. Fungicides, difenoconazole, pyraclostrobin, trifloxystrobin, metiram, mancozeb, fludioxonil, valifenale, fluxapyroxad, isopyrazam, penthiopyrad, and boscalid; herbicides, metazachlor, thiencarbazone-methyl, isoxaflutole, iodsulfuron methyl-sodium, metsulfuron-methyl, nicosulfuron, chlorimuron-ethyl, imazapyr, imazamox, imazethapyr, and diflufenzopyr; insecticides, thiamethoxam and imidacloprid are moderately hazardous (Table 5). Only insecticides, chlorpyrifos, bifenthrin, lambda-cyhalothrin, and tebufenpyrad are highly and extremely hazardous because of their high toxicity and water pollution possibility. Rest of the studied compounds is hazardous (2 class) to human organism.

The estimate presented is approximate. In each particular case, it is necessary to assess the risk of a pesticide when it enters the human body with water separately, taking into account the soil and climatic conditions of the application area, the norms of application, the groundwater depth, and other background factors.

3. Conclusions

  1. It was determined that according to IUPAC classification, most of the pesticides pertain to low or moderate in soil, but for some of them, there is a risk of groundwater contamination.

  2. Two methods for hazardous effect on human organism while consuming contaminated water prediction were developed by us. For integrated assessment of the potential hazard of pesticide exposure on the human organism when it enters ground and surface waters, we developed integral groundwater contamination hazard index (IGCHI), which includes assessment of three indices: LEACН, τ50 in water, and allowable daily intake (ADI) on a scale, which provides four gradations. For the evaluation of the parameters of SCI-GRW, a method of comprehensive assessment including establishment of the maximum possible daily intake of pesticide with water (PMDIW) and subsequently compared with acceptable daily intake of pesticide with water (PADIW) developed by us was used.

  3. It was shown that when the human body reaches the majority of investigated compounds, when evaluated using first method, the risk is acceptable. According to the second method, only insecticides were highly or extremely dangerous for the human body while drinking contaminated water. The rest of the compounds are low or moderately hazardous.

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Anna Antonenko, Olena Vavrinevych, Maria Korshun and Sergiy Omelchuk (January 24th 2019). Development of a Method for Prediction of Risk of Surface and Groundwater Contamination with Pesticides and Their Dangerous Aspects for Human Health, Groundwater - Resource Characterisation and Management Aspects, Modreck Gomo, IntechOpen, DOI: 10.5772/intechopen.83600. Available from:

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