2005
DOI: 10.1029/2004wr003497
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Risk‐cost‐benefit analysis of atrazine in drinking water from agricultural activities and policy implications

Abstract: [1] This study provides an improved methodology for investigating the trade-offs between the health risks and economic benefits of using atrazine in the agricultural sector by incorporating public attitude to pesticide management in the analysis. Regression models are developed to predict finished water atrazine concentration in high-risk community water supplies in the United States. The predicted finished water atrazine concentrations are then used in a health risk assessment. The computed health risks are c… Show more

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Cited by 12 publications
(9 citation statements)
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“…The elasticity of contamination for fertilizer (column 4) is from Li et al (2006) and represents the percent increase in nitrogen in tile drainage water for a percent increase in fertilizer application. The elasticity of contamination for chemical expenses refers to the percent increase in atrazine in waterways resulting from a one percent increase in atrazine application as estimated by Tesfamichael et al (2005). Column 5 comes from multiplying column 3 with column 4.…”
Section: Resultsmentioning
confidence: 99%
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“…The elasticity of contamination for fertilizer (column 4) is from Li et al (2006) and represents the percent increase in nitrogen in tile drainage water for a percent increase in fertilizer application. The elasticity of contamination for chemical expenses refers to the percent increase in atrazine in waterways resulting from a one percent increase in atrazine application as estimated by Tesfamichael et al (2005). Column 5 comes from multiplying column 3 with column 4.…”
Section: Resultsmentioning
confidence: 99%
“…Supposing the increase in chemical expenses is associated with a similar increase in quantity of pesticide applied, our estimate multiplied by that of Tesfamichael et al (2005) suggests a 1.1 percent (=2.2 percent x 0.5 percent) increase in the concentration of pesticide in streams.…”
Section: Can We Reject Economically Important Effects?mentioning
confidence: 99%
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“…Because of these characteristics, fuzzy logic may be a more suitable method for diffuse pollution forecasting than the usual regression modeling techniques used by many researchers (e,g. Goolsby and Battaglin (1993); Larson and Gilliom (2001);and Tesfamichael et al (2005) etc.) for estimation of diffuse pollution concentration in streams or other water bodies.…”
Section: Fuzzy Rule Based Systemmentioning
confidence: 99%
“…), amount of agricultural chemicals applied, or percentage of land planted affect agricultural chemical concentration and mass transport in streams. The general form of model that simulates the concentration measurement in a watershed can be represented by (Tesfamichael et al, 2005) …”
Section: Agricultural Diffuse Pollution Concentration Simulation In Smentioning
confidence: 99%