MACRO—DB: a decision-support tool for assessing pesticide fate and mobility in soils

Jarvis, Nicholas; Hollis, J. M.; Nicholls, P. H.; Mayr, Thomas; Evans, Samuel P.

doi:10.1016/s1364-8152(97)00147-3

Cited by 74 publications

(50 citation statements)

References 21 publications

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“…S1). The rapid initial adsorption of TCC and TCS is likely a surface phenomenon where the vacant sites in the solid matrices were filled rapidly followed by a slower phase representing migration and diffusion of the compounds into the organic matter matrix [5,27,28]. The data showed that sorption of TCC and TCS in soils is extensive in the initial phase, and the portion of compounds participating in the longer-term adsorption is negligible, compared to that participating in the initial phase.…”

Section: Kinetics Of Tcc and Tcs Adsorptionmentioning

confidence: 94%

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Retention‐release characteristics of triclocarban and triclosan in biosolids, soils, and biosolids‐amended soils

Agyin‐Birikorang¹,

Miller²,

O’Connor³

2010

Enviro Toxic and Chemistry

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Transport models that incorporate retention/release characteristics of organic compounds in soils and sediments typically assume that organic-carbon normalized partition coefficients (K(OC)) apply to all solid matrices and that the partitioning process is completely reversible. Partition coefficients (K(d)) (from which the K(OC) was calculated), and retention/release characteristics of triclocarban (TCC) and triclosan (TCS) in biosolids, soils, and biosolids-amended soils were determined. Four soils of different physicochemical properties amended with biosolids at 10 g/kg, together with unamended soils, and several biosolids were separately spiked with either [(14)C]TCC or [(14)C]TCS for the various determinations. The hysteresis coefficient values of the two compounds were consistently <1 in all three solid matrices, suggesting strong hysteresis. Multiple desorption steps (24 h each) over several days revealed incomplete desorption of the two compounds from all three solid matrices. The K(d) values determined in biosolids (log K(d) 3.34 +/- 0.13 for TCC and 3.76 +/- 0.39 for TCS) were greater than those determined in soils (log K(d) 1.71 +/- 0.09 for TCC and 2.25 +/- 0.26 for TCS) and biosolids-amended soils (log K(d)1.90 +/- 0.16 for TCC and 2.31 +/- 0.19 for TCS), however, the K(OC) values of all three solid matrices were similar (log K(OC) of 3.82 +/- 0.16 for TCC and 4.26 +/- 0.31 for TCS). Thus, it was concluded that a single or a narrow range of K(OC) values for TCC and TCS may be appropriate to describe retention of the compounds in soils and sediments. However, models that assume complete reversibility of the retention/release processes of the compounds in soils and sediments may not adequately describe the retention/release characteristics of the compounds in soils and sediments, especially when the chemicals are biosolids borne.

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Section: Kinetics Of Tcc and Tcs Adsorptionmentioning

confidence: 94%

“…Leaching/transport models have been used to predict adsorption/desorption characteristics and mobility of several compounds in soils and sediments [5][6][7][8][9][10][11]. Such models assume that K OC value of a particular compound applies to all solid matrices, and that adsorption-desorption is completely reversible.…”

Section: Introductionmentioning

confidence: 99%

Retention‐release characteristics of triclocarban and triclosan in biosolids, soils, and biosolids‐amended soils

Agyin‐Birikorang¹,

Miller²,

O’Connor³

2010

Enviro Toxic and Chemistry

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“…Algorithms from the wide set of pedotransfer functions made available in literature have often been suggested or implemented as estimation tools in modelling software packages (Jarvis et al, 1997;Smith et al, 1995;Savabi and Williams, 1995;Acutis and Donatelli, 2003), although the level of reliability of any given PTF is strictly related to the specific composition of the calibration data set, which in turn may reflect the geographic origin of the data set and the relevance of the different pedogenic processes in a given area. For these reasons, the extrapolation of PTFs beyond their statistical training limits and their geographical training area should always be preceded by a careful evaluation of their applicability to specific data sets.…”

Section: Introductionmentioning

confidence: 99%

Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padano–Veneta region of North Italy: water retention properties

2005

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“…The MACRO-DB [15] is a decision-support tool for predicting pesticide fate and mobility in soils. It consists of soil, pesticide, climate and crop databases linked to parameter estimation routines and a simulation model (MACRO, Version 4.1).…”

Section: Macro-db Modelmentioning

confidence: 99%

“…A further simulation for maize was performed by adding atrazine in pre-emergence and the results were used as a reference for risk. Pesticide properties for the simulations were taken from the PETE database, which is included in the MACRO-DB model [15,18]. Characteristics of the herbicides used in different crops are reported in Table VIII.…”

Section: Herbicidesmentioning

confidence: 99%

Modelling herbicide treatment impact on groundwater quality in a central Italy area

2001

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-A simulation study, using the MACRO-DB pesticide leaching model, was carried out to determine the impact of different weed control strategies on groundwater quality in a Central Italy area (Umbria) where the drinking water wells for the city of Perugia are located. The simulations considered nine representative soil profiles and two different crop rotations. Weather conditions were those of ten years. Thirty herbicides and twenty-two weed control strategies were tested for their groundwater concentrations. Two maps reporting the risk of groundwater contamination were made from simulations of the two crop rotations applying the strategy with the least groundwater pollution risk for each crop. As even the less polluting strategy in the four-crop rotation exceeds the EU Directive 414/91 limit for drinking water, only the three-crop rotation is recommended. The present findings testify that crop selection is an effective way to minimise groundwater pollution risk.groundwater / pollution / simulation model / herbicide / soil type Résumé -Simulation de l'impact de plusieurs traitements herbicides sur la qualité des eaux souterraines dans une zone de l'Italie centrale. Sur la base du modèle MACRO-DB pour la prévision du lessivage des produits phytosanitaires le long des profils du sol, on a effectué une simulation en vue de déterminer l'impact environnemental provoqué par différentes stratégies de désherbage sur les eaux de nappe dans une zone de l'Italie centrale (Ombrie) où se trouvent les puits pour l'approvisionnement en eau de la ville de Pérouse. Les simulations ont pris en considération neuf profils de sol représentatifs de la zone examinée et deux assolements différents. Les conditions climatiques prises en considération sont celles couvrant dix années. On a calculé au niveau de la nappe les concentrations de trente herbicides et vingt-deux stratégies de désherbage. On a réalisé deux cartes qui reportent le risque de contamination, en simulant deux rotations culturales et en appliquant à chaque culture la stratégie comportant le plus bas risque de pollution de la nappe. Étant donné que la stratégie la moins polluante dans la rotation prévoyant quatre cultures dépasse encore la limite prévue par la Directive EU 414/91 pour les eaux potables, il s'impose de préférer l'assolement à trois cultures, la sélection culturale s'avérant être une méthode valable pour réduire le risque de pollution des eaux de nappe. nappe / pollution / modèle prévisionnel / herbicide / type de sol

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MACRO—DB: a decision-support tool for assessing pesticide fate and mobility in soils

Cited by 74 publications

References 21 publications

Retention‐release characteristics of triclocarban and triclosan in biosolids, soils, and biosolids‐amended soils

Retention‐release characteristics of triclocarban and triclosan in biosolids, soils, and biosolids‐amended soils

Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padano–Veneta region of North Italy: water retention properties

Modelling herbicide treatment impact on groundwater quality in a central Italy area

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