Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure

Morselli, Melissa; Vitale, Chiara Maria; Ippolito, Alessio; Villa, Sara; Giacchini, Roberto; Vighi, Marco; Guardo, Antonio Di

doi:10.1016/j.scitotenv.2017.09.287

Cited by 40 publications

(15 citation statements)

References 53 publications

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“…Ultimately, acetone/ DCM (1/2, containing 0.1% formic acid) was chosen as the extraction solvent. LC-C18, PSA and ENVI-Carb SPE cartridges are the commonly used clean-up materials for analysing pesticide residues, especially for eliminating pigment matters [4,[25][26][27]. The recoveries of pesticides (100 ng/g dw) eluted from the ENVI-Carb SPE cartridge (6 cc, 500 mg, Supelco) ranged 10-30%.…”

Section: Optimizing Extraction and Clean-up Proceduresmentioning

confidence: 99%

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Detection of Frequently Used Pesticides in Apple Orchard Soil in China by High Resolution Mass Spectrometry

Shi

Chen

et al. 2020

Pol. J. Environ. Stud.

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In this study, 10 frequently used pesticides in apple orchards from the major apple production area of China were identified through 150 questionnaires. Based on Orbitrap high-resolution mass spectrometry, a method for detecting these pesticides in soils was developed. Typically, these compounds can be extracted from dry soil samples using dichloromethane: acetone (2:1, v:v) and purified by dispersive solid-phase extraction (PSA and C18). The qualitative and quantitative analyses can be undertaken by monitoring the MS1 precursor ions under full scan mode within a mass error of <5 ppm (resolution 120000). The recoveries ranged from 68.4% to 102.4% (SD<10.5%), the matrix effects induced signal fluctuation was less than 10%, and the intra-and inter-day precisions were all below 5%. For 14 surface soil samples randomly collected from an apple orchard in China, most pesticides presented the highest detection frequencies (100%), with imidacloprid and tebuconazole showing the highest residue levels (4.1-39.1 and 9.8-350.2 ng/g dry weight, respectively). Compared with previous methods for analyzing individual or several pesticides, the proposed method represents a promising means of investigating these frequently used pesticide residues in apple orchards in China.

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Section: Optimizing Extraction and Clean-up Proceduresmentioning

confidence: 99%

“…For example, high levels of difenoconazole residue have been detected in apples and the corresponding soils (0.002-0.052 and 0.002-0.298 mg/kg, respectively) [3]. Meanwhile, pesticide use in apple orchards could also affect nearby surface runoff, especially for mountain streams [4].…”

Section: Introductionmentioning

confidence: 99%

Detection of Frequently Used Pesticides in Apple Orchard Soil in China by High Resolution Mass Spectrometry

Shi

Chen

et al. 2020

Pol. J. Environ. Stud.

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“…If a model can reproduce eld data (collected under conditions that correspond to the assumptions and settings in the model), this strongly increases the credibility of the model and demonstrates that the model is suitable for the chemical and environmental system considered. Results from fate and exposure models have oen been found to agree well with eld data; this includes at the global level, 63,[106][107][108][109][110][111] and at the continental level [112][113][114][115] for selected persistent organic pollutants, and also in local and regional systems, such as the cases of diuron in a small, highly dynamic tropical catchment, 116 plant protection products in agricultural catchments at different scales, [117][118][119][120][121] PBDEs in a Swiss lake, 122 and PCBs in the Adriatic Sea. 123…”

Section: Model Evaluation By Comparison To Eld Datamentioning

confidence: 53%

“…Similarly to the diuron case, an integrated compartmental model (DynaPlus) was recently developed and used to predict the surface water contamination by pesticides used in an intensive orchard cultivation in a mountain region in Italy. 121 Mountainous regions are characterized by rapid land response to precipitation, resulting in quick runoff chemical peaks and consequent potentially high peak exposure concentrations in aquatic ecosystems receiving such runoff. The model consisted of a dynamic water network model (built upon the Dyna model 136 ) and a spatially explicit terrestrial multimedia model 81,120 parametrized using specic scenario and emission data provided by the local authorities.…”

Section: Models For Small Spatial Scales and Dynamic Scenariosmentioning

confidence: 99%

Environmental fate and exposure models: advances and challenges in 21^st century chemical risk assessment

Guardo

Gouin

MacLeod

et al. 2018

Environ. Sci.: Processes Impacts

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Environmental fate and exposure models are a powerful means to integrate information on chemicals, their partitioning and degradation behaviour, the environmental scenario and the emissions in order to compile a picture of chemical distribution and fluxes in the multimedia environment. A 1995 pioneering book, resulting from a series of workshops among model developers and users, reported the main advantages and identified needs for research in the field of multimedia fate models. Considerable efforts were devoted to their improvement in the past 25 years and many aspects were refined; notably the inclusion of nanomaterials among the modelled substances, the development of models at different spatial and temporal scales, the estimation of chemical properties and emission data, the incorporation of additional environmental media and processes, the integration of sensitivity and uncertainty analysis in the simulations. However, some challenging issues remain and require research efforts and attention: the need of methods to estimate partition coefficients for polar and ionizable chemical in the environment, a better description of bioavailability in different environments as well as the requirement of injecting more ecological realism in exposure predictions to account for the diversity of ecosystem structures and functions in risk assessment. Finally, to transfer new scientific developments into the realm of regulatory risk assessment, we propose the formation of expert groups that compare, discuss and recommend model modifications and updates and help develop practical tools for risk assessment.

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“…Meanwhile, the agricultural logistics is improved by introducing technologies, like Wireless Sensor Networks (WSN) and Radio Frequency Identification (RFID) [ 28 ]. Forecasting of agricultural products and farming lands are also taken into account [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

Zhai

Ortega

Martínez

et al. 2018

Sensors

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As the demand for food grows continuously, intelligent agriculture has drawn much attention due to its capability of producing great quantities of food efficiently. The main purpose of intelligent agriculture is to plan agricultural missions properly and use limited resources reasonably with minor human intervention. This paper proposes a Precision Farming System (PFS) as a Multi-Agent System (MAS). Components of PFS are treated as agents with different functionalities. These agents could form several coalitions to complete the complex agricultural missions cooperatively. In PFS, mission planning should consider several criteria, like expected benefit, energy consumption or equipment loss. Hence, mission planning could be treated as a Multi-objective Optimization Problem (MOP). In order to solve MOP, an improved algorithm, MP-PSOGA, is proposed, taking advantages of the Genetic Algorithms and Particle Swarm Optimization. A simulation, called precise pesticide spraying mission, is performed to verify the feasibility of the proposed approach. Simulation results illustrate that the proposed approach works properly. This approach enables the PFS to plan missions and allocate scarce resources efficiently. The theoretical analysis and simulation is a good foundation for the future study. Once the proposed approach is applied to a real scenario, it is expected to bring significant economic improvement.

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Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure

Cited by 40 publications

References 53 publications

Detection of Frequently Used Pesticides in Apple Orchard Soil in China by High Resolution Mass Spectrometry

Detection of Frequently Used Pesticides in Apple Orchard Soil in China by High Resolution Mass Spectrometry

Environmental fate and exposure models: advances and challenges in 21^st century chemical risk assessment

A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

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Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure

Cited by 40 publications

References 53 publications

Detection of Frequently Used Pesticides in Apple Orchard Soil in China by High Resolution Mass Spectrometry

Detection of Frequently Used Pesticides in Apple Orchard Soil in China by High Resolution Mass Spectrometry

Environmental fate and exposure models: advances and challenges in 21st century chemical risk assessment

A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

Contact Info

Product

Resources

About

Environmental fate and exposure models: advances and challenges in 21^st century chemical risk assessment