Selection of priority properties to assess environmental hazard of pesticides

Halfon, Efraim; Galassi, S.; Brüggemann, Rainer; Provini, A.

doi:10.1016/0045-6535(96)00274-3

Cited by 96 publications

(49 citation statements)

References 21 publications

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“…Low pH soils increase the adsorption of weakly acidic pesticides (Boivin et al, 2005;Carrizosa et al, 2000;Halfon et al, 1996,). Desorption of endosulfan was higher at both acidic and alkaline pH ranges compared to neutral pH (Kumar & Philip, 2006).…”

Section: Phmentioning

confidence: 91%

Factors Affecting Performance of Soil Termiticides

Wiltz¹

2012

Insecticides - Basic and Other Applications

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Section: Phmentioning

confidence: 91%

Factors Affecting Performance of Soil Termiticides

Wiltz¹

2012

Insecticides - Basic and Other Applications

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“…Yet, observational data cast doubts on the degree of applicability of these parameters as descriptors of contamination risk. While some studies have shown a correlation between pesticide detections and compound W s in both surface water and groundwater (Halfon et al, 1996;Kolpin et al, 1998;Kreuger and Tornqvist, 1998), Worrall and Kolpin (2004) did not manage to find such a relationship in their study of pesticide occurrence in groundwater in the mid-west United States. Furthermore, whereas Kreuger and Tornqvist (1998) found log P ow to be a predictive variable for pesticide contamination of surface water, its potential as a measure of risk of groundwater contamination as suggested by observational data remains to be assessed.…”

Section: Objective Motivation and Hypothesesmentioning

confidence: 99%

“…Furthermore, whereas Kreuger and Tornqvist (1998) found log P ow to be a predictive variable for pesticide contamination of surface water, its potential as a measure of risk of groundwater contamination as suggested by observational data remains to be assessed. Altenburger et al (1993) and Halfon et al (1996) both demonstrated a negative correlation between pesticide detections and compound V p . However, both studies were conducted on surface water data and the explanatory ability in terms of groundwater contamination risk remains to be studied.…”

Section: Objective Motivation and Hypothesesmentioning

confidence: 99%

“…All three are chemical property-parameters commonly used for environmental pesticide risk assessment-purposes (e.g. Carsel et al, 1985;Guerbet and Jouany, 2002;Gutsche and Rossberg, 1997) and have, as noted, shown to exhibit a descriptive ability in terms of pesticide contamination of surface (V p : Altenburger et al, 1993;Halfon et al, 1996) and groundwater (W s , K oc : e.g. Kolpin et al, 1998).…”

Section: Pesticide Parametersmentioning

confidence: 99%

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Statistical screening for descriptive parameters for pesticide occurrence in a shallow groundwater catchment

Åkesson¹,

Sparrenbom²,

Carlsson³

et al. 2013

Journal of Hydrology

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. We have assessed the ability of a range of pesticide, site and climate parameters to discriminate between detected and non-detected pesticides as observed by long-term monitoring data of pesticide use and groundwater occurrence in a small catchment in southern Sweden. Of seventeen investigated parameters, six demonstrated such an ability: dosage applied, the Henry's Law Constant (HLC), the octanolwater partitioning coefficient (log P ow ), the amount of precipitation the week before application, the amount of precipitation the month after application, and the substance degradation potential (DT 50 ). The apparent influence of the investigated parameters on pesticide occurrence in groundwater, and their apparent suitability as descriptive parameters in terms of assessment of related risks, is accordingly discussed. We conclude that knowledge of actual pesticide use appear fundamental for risk assessment of groundwater contamination potential. We further suggest that chemical property-parameters of specific pesticides, although clearly valuable, should be applied in groundwater contamination risk assessments with care. If site-specific values are unattainable, tabular values of log P ow , HLC and water solubility (W s ) are demonstrated to exhibit a superior explanatory ability than those of substance adsorption potential (K oc ) and DT 50 which, in the latter case, is shown to be able to lead to misleading conclusions on actual risks.The demonstrated explanatory ability of precipitation both before and after application suggests that relatively greater precipitation amounts occur in relation to application of non-detected substances. Increased dilution and run-off as well as decreased soil matrix retainment and decreased top-soil cracking are potential explanations although higher-resolution monitoring records are needed in order to confirm these hypotheses.

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“…Two mathematical/statistical tools (Hasse and CART), until now only used , Wenzel et al 1997 Priofactor Ecotoxicity and human toxicity LCIA (Larsen et al 1999b and1999a) CPM-method; qualitative part Ecotoxicity LCIA (Eriksson 1999) CPM-method; quantitative part a Ecotoxicity LCIA (Eriksson 1999) EURAM Ecotoxicity and human toxicity Risk Assessment (Hansen el al. 1999) WMPT (adopted also in P2P) Ecotoxicity and human toxicity Hazard Assessment (US EPA 1997, Pennington et al 2002) (and LCIA) Hasse diagram technique Ecotoxicity and human toxicity b (Risk Assessment) (Halfon et al 1996(Halfon et al , S~rensen et al 1998 CART Ecotoxicity and human toxicity b (Risk assessment) (Bennett et al 1999(Bennett et al , 2000(Bennett et al and 2001 a Simple characterisation method b Can be used for both to a limited degree within risk assessment, are also included because they are considered to represent promising alternative approaches for the selection of chemicals. In the table, the typical use is given, and it is indicated whether the method includes the evaluation of ecotoxic effects, of human toxic effects, or both.…”

Section: Existing Sms and Other Crs Methodsmentioning

confidence: 99%

Evaluation of selection methods for toxicological impacts in LCA recommendations for OMNIITOX

et al. 2004

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Goal, Scope and Background. The aim of this study has been to come up with recommendations on how to develop a selection method (SM) within the method development research of the OMNIITOX project. An SM is a method for prioritization of chemical emissions to be included in a Life Cycle Impact Assessment (LCIA) characterisation, in particular for (eco)toxicological impacts. It is therefore designed for pre-screening to support a characterisation method. The main reason why SMs are needed in the context of LCIA is the high number of chemical emissions that potentially contribute to the impacts on ecosystems and human health. It will often not be feasible to cover all emissions with characterisation factors and, therefore, there exists a need to focus the effort on the most significant chemical emissions in the characterisation step. Until now not all LCA studies include toxicity-related impact categories, and when they do there are typically many gaps. This study covers the only existing methods explicitly designed as SMs (EDIP-selection, Priofactor and CPMselection), the dominating Chemical Ranking and Scoring (CRS) method in Europe (EURAM) and in the USA (WMPT) that can be adapted for this purpose, as well as methods presenting novel approaches which could be valuable in the development of improved SMs (CART analysis and Hasse diagram technique). Methods. The included methods are described. General guidance principles established for CRS systems are applied to SMs and a set of criteria for good performance of SMs is developed. The included methods are finally evaluated against these criteria. Results and Discussion. Two of the most important performance criteria include providing consistent results relative to the more detailed, associated characterisation methods and the degree of data availability to ensure broader chemical coverage. Applicability to different chemical groups, user friendliness, and transparency are also listed amongst the important criteria. None of the evaluated methods currently fulfil all of the proposed criteria to a degree that excludes the need for development of improved selection methods. Conclusion and Recommendations. For the development of SMsit is recommended that the general principles for CRS systems are taken into account. Furthermore, special attention should be paid to some specific issues, i.e. the emitted amount should be included, data availability should enable broad chemical coverage, and when identifying priority chemicals for the characterisation, the developed SM should generate few false positives (chemical emissions classified wrongly as being of high concern) and no (significant) false negatives (classified wrongly as being of low concern) as compared to the associated characterisation method. These recommendations are not only relevant for a stand alone SM, but also valuable when dealing with simple characterisation methods associated with a more detailed characterisation method. Outlook. There are several questions that need to be answered before an optim...

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Selection of priority properties to assess environmental hazard of pesticides

Cited by 96 publications

References 21 publications

Factors Affecting Performance of Soil Termiticides

Factors Affecting Performance of Soil Termiticides

Statistical screening for descriptive parameters for pesticide occurrence in a shallow groundwater catchment

Evaluation of selection methods for toxicological impacts in LCA recommendations for OMNIITOX

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