| Literature DB >> 26581345 |
Auria M C Barbosa1, Marize de L M Solano2, Gisela de A Umbuzeiro2.
Abstract
Brazil is the world largest pesticide consumer; therefore, it is important to monitor the levels of these chemicals in the water used by population. The Ministry of Health coordinates the National Drinking Water Quality Surveillance Program (Vigiagua) with the objective to monitor water quality. Water quality data are introduced in the program by state and municipal health secretariats using a database called Sisagua (Information System of Water Quality Monitoring). Brazilian drinking water norm (Ordinance 2914/2011 from Ministry of Health) includes 27 pesticide active ingredients that need to be monitored every 6 months. This number represents <10% of current active ingredients approved for use in the country. In this work, we analyzed data compiled in Sisagua database in a qualitative and quantitative way. From 2007 to 2010, approximately 169,000 pesticide analytical results were prepared and evaluated, although approximately 980,000 would be expected if all municipalities registered their analyses. This shows that only 9-17% of municipalities registered their data in Sisagua. In this dataset, we observed non-compliance with the minimum sampling number required by the norm, lack of information about detection and quantification limits, insufficient standardization in expression of results, and several inconsistencies, leading to low credibility of pesticide data provided by the system. Therefore, it is not possible to evaluate exposure of total Brazilian population to pesticides via drinking water using the current national database system Sisagua. Lessons learned from this study could provide insights into the monitoring and reporting of pesticide residues in drinking water worldwide.Entities:
Keywords: Sisagua; Vigiagua; drinking water criteria; drinking water standards; pesticide risk
Year: 2015 PMID: 26581345 PMCID: PMC4631936 DOI: 10.3389/fpubh.2015.00246
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Pesticides regulated by Brazilian Ordinance MH No. 2914/2011 and their maximum allowed concentrations (MAC) (.
| Pesticide (active ingredient) | CAS registry number | MAC ( | Pesticide (active ingredient) | CAS registry number | MAC ( |
|---|---|---|---|---|---|
| 2,4-D + 2,4,5 T | 94-75-7 | 30 | Lindane (γ HCH) | 58-89-9 | 2 |
| 93-76-5 | |||||
| Alachlor | 15972-60-8 | 20 | Mancozeb | 8018-01-7 | 180 |
| Aldicarb + aldicarbsulfone + aldicarbsulfoxide | 116-06-3 | 10 | Methamidophos | 10265-92-6 | 12 |
| 1646-88-4 | |||||
| 1646-87-3 | |||||
| Aldrin + dieldrin | 309-00-2 | 0.03 | Metolachlor | 51218-45-2 | 10 |
| 60-57-1 | |||||
| Atrazine | 1912-24-9 | 2 | Molinate | 2212-67-1 | 6 |
| Carbendazim + benomil | 10605-21-7 | 120 | Parathion-methyl | 298-00-0 | 9 |
| 17804-35-2 | |||||
| Carbofuran | 1563-66-2 | 7 | Pendimethalin | 40487-42-1 | 20 |
| Chlordane | 5103-74-2 | 0.2 | Permethrin | 52645-53-1 | 20 |
| Chlorpyrifos + chlorpyrifos − oxon | 2921-88-2 | 30 | Profenophos | 41198-08-7 | 60 |
| 5598-15-2 | |||||
| DDT + DDD + DDE | 50-29-3 | 1 | Simazine | 122-34-9 | 2 |
| 72-54-8 | |||||
| 72-55-9 | |||||
| Diuron | 330-54-1 | 90 | Tebuconazole | 107534-96-3 | 180 |
| Endosulfan (α, β, and salt) | 115-29-7 | 20 | Terbuphos | 13071-79-9 | 1.2 |
| 959-98-8 | |||||
| 33213-65-9 | |||||
| 1031-07-8 | |||||
| Endrin | 72-20-8 | 0.6 | Trifluralin | 1582-09-8 | 20 |
| Glyphosate + AMPA | 1071-83-6 | 500 | |||
| 1066-51-9 |
The highest volume pesticide active ingredients in Brazil from 2009 to 2012 (above 1,000 tons/year).
| Pesticide (active ingredient) | 2009 | 2010 | 2011 | 2012 |
|---|---|---|---|---|
| 12,116.12 | 19,450.29 | 23,116.97 | 32,163.99 | |
| 5,204.89 | 5,233.44 | 8,124.83 | 13,080.63 | |
| Ametryn | 1,624.09 | 2,858.40 | 3,441.88 | 4,705.76 |
| 10,133.80 | 12,811.48 | 18,580.93 | 27,139.56 | |
| Azoxystrobin | – | – | – | 1,634.41 |
| Bentazone | 1,017.28 | 1,064.48 | – | – |
| 6,712.59 | 7,629.82 | 12,216.92 | 7,999.80 | |
| Carbofuran | – | 2,178.80 | – | – |
| Chlorothalonil | 1,964.75 | 2,488.77 | 3,001.41 | 2,987.65 |
| 2,966.39 | 3,191.78 | 4,288.36 | 6,218.35 | |
| Cipermetrine | – | – | 3,219.22 | – |
| Ciproconazol | – | 1,707.27 | 1,653.27 | 1,090.87 |
| Clomazone | 2,712.01 | 5,255.42 | 6,171.87 | 4,731.45 |
| Copper hydroxide | 1,047.75 | 2,355.71 | 2,571.59 | 2,566.66 |
| Copper oxychloride | 3,152.99 | 3,364.24 | 3,706.01 | 3,854.88 |
| Cymoxanil | 1,189.55 | – | – | – |
| 2,147.97 | 6,123.86 | 6,978.62 | 8,502.78 | |
| Endosulfan | 2,980.42 | 6,083.34 | 3,631.37 | – |
| Etefom | – | – | 1,244.48 | 1,554.26 |
| Fipronil | – | – | – | 1,068.60 |
| Fluazinam | – | 1,028.86 | – | |
| Flutriafol | – | – | – | 1,044.19 |
| 118,484.57 | 127,585.92 | 128,514.31 | 186,483.39 | |
| Glyphosate, isopropylamine salt | – | 6,531.37 | 3,383.68 | 1,293.79 |
| Hexazinone | – | 1,155.16 | 1,560.75 | 2,009.96 |
| 1,399.15 | 2,441.11 | 5,074.00 | 5,476.11 | |
| Malathion | 1,057.67 | 1,464.41 | 2,334.28 | 4,147.18 |
| 3,590.35 | 6,917.62 | 7,290.18 | 7,134.82 | |
| Methamidophos | 10,774.80 | 17,661.77 | 12,838.84 | – |
| – | 3,350.53 | 4,247.09 | 6,376.02 | |
| Mineral oil | 32,634.09 | 40,967.83 | 44,561.90 | 36,962.20 |
| MSMA – monosodium methyl arsenate | 1,399.88 | 1,672.78 | 1,515.11 | 1,778.80 |
| 1,977.19 | 3,113.24 | 4,275.38 | 5,249.54 | |
| Parathion-methyl | 2,691.33 | 1,743.90 | 1,225.79 | 1,763.44 |
| Picloram | – | – | 1,485.90 | 1,625.86 |
| Serricornim | – | – | – | 3,612.38 |
| Simazine | – | – | 1,025.82 | – |
| Sulfur | 11,514.80 | 12,343.12 | 14,133.51 | 9,678.46 |
| Tebuconazole | 2,676.88 | 2,066.78 | 1,441.43 | 1,430.00 |
| Tebuthiuron | – | 2,041.97 | 3,195.36 | 3,650.86 |
| Thiophanate methyl | 3,754.32 | 4,472.94 | 4,947.79 | 4,800.58 |
| Trifluralin | – | 1,380.68 | 1,824.04 | 1,467.41 |
| Vegetal oil | 13,422.60 | 8,488.43 | 7,758.19 | 7,770.64 |
| Total | 260,348.23 (86.7%) | 327,196.66 (85.1%) | 355,609.94 (84.2%) | 413,055.28 (86.4%) |
| Other active ingredients | 40,001.47 | 57,304.62 | 66,632.32 | 64,737.16 |
| Total of sales | 300,349.70 | 384,501.28 | 422,242.26 | 477,792.44 |
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Geo-economic characteristics of Brazilian states by region.
| Region | Area (km2) | % of national territory | Population | % of population | GDP US$ thousands (2012) |
|---|---|---|---|---|---|
| North | 3,869,638 | 45.2 | 17,231,027 | 8.50 | 115,691,500 |
| Northeast | 1,556,001 | 18.2 | 56,186,190 | 27.71 | 297,691,000 |
| South | 600,316 | 6.8 | 29,016,114 | 14.31 | 350,177,339 |
| Southeast | 927,286 | 10.9 | 85,115,623 | 41.9 | 1,194,091,133 |
| Midwest | 1,612,077 | 18.86 | 15,219,608 | 7.51 | 215,231,500 |
Data from IBGE – (Brazilian Institute of Geography and Statistics) (2014) (.
Number of Brazilian municipalities by state and region and the number that recorded data in Sisagua (2007–2010).
| Region | State | Number of municipalities | Number of municipalities with results in Sisagua | |||
|---|---|---|---|---|---|---|
| 2007 | 2008 | 2009 | 2010 | |||
| Midwest | Distrito Federal | 1 | – | – | 1 | – |
| Goiás | 246 | 1 | 31 | 15 | 77 | |
| Mato Grosso do Sul | 78 | 8 | 26 | 24 | 29 | |
| Mato Grosso | 141 | 1 | 7 | 14 | 20 | |
| Subtotal | 466 | 10 | 64 | 54 | 126 | |
| Northeast | Alagoas | 102 | – | – | – | – |
| Bahia | 417 | – | 24 | 15 | 6 | |
| Ceará | 184 | – | 47 | 4 | 1 | |
| Maranhão | 217 | – | – | – | – | |
| Paraíba | 223 | – | – | – | – | |
| Pernambuco | 185 | – | – | – | 1 | |
| Piauí | 224 | – | 1 | – | – | |
| Rio Grande do Norte | 167 | 1 | – | – | 1 | |
| Sergipe | 75 | – | 2 | 3 | 3 | |
| Subtotal | 1,794 | 1 | 74 | 22 | 12 | |
| North | Acre | 22 | – | – | – | – |
| Amazonas | 62 | – | 1 | – | – | |
| Amapá | 16 | – | – | – | – | |
| Pará | 143 | – | – | – | – | |
| Rondônia | 52 | – | – | – | – | |
| Roraima | 15 | – | – | – | – | |
| Tocantins | 139 | – | 1 | 3 | 12 | |
| Subtotal | 449 | – | 2 | 3 | 12 | |
| Southeast | Espírito Santo | 78 | 2 | 6 | 5 | 4 |
| Minas Gerais | 853 | 72 | 245 | 181 | 246 | |
| Rio de Janeiro | 92 | – | 7 | 4 | 9 | |
| São Paulo | 645 | 31 | 42 | 32 | 201 | |
| Subtotal | 1,668 | 105 | 300 | 222 | 460 | |
| South | Paraná | 399 | 347 | 352 | 270 | 252 |
| Rio Grande do Sul | 496 | 61 | 83 | 42 | 4 | |
| Santa Catarina | 293 | 3 | 39 | 31 | 73 | |
| Subtotal | 1,188 | 411 | 474 | 343 | 329 | |
| Total | 5,565 | 527 | 914 | 644 | 939 | |
Figure 1The expected and actual number of pesticides analyses informed by each Brazilian region in Sisagua from 2007 to 2010.
Number of pesticides analysis results after Sisagua data selection for the period (2007–2010).
| Number of records in Sisagua | 2007 | 2008 | 2009 | 2010 | Total |
|---|---|---|---|---|---|
| Reported | 34,900 | 52,561 | 30,818 | 50,801 | 169,080 |
| Reported as not detected | 2,727 | 7,742 | 5,249 | 10,183 | 25,901 |
| Considered as non-valid | 9,757 | 7,324 | 3,186 | 5,954 | 26,221 |
| Considered as valid | 25,143 | 45,237 | 27,632 | 44,847 | 142,859 |
See text for clarification of categories.