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1.
A semi-empirical model called SWAT has been developed to predict concentrations of agriculturally applied pesticides moving to surface waters, an aspect which is not well described by current models for pesticide fate. The model is based upon a direct hydrological link established between soil type and the amount of water moving rapidly to streams in response to rainfall. Attenuation factors describe the decrease in concentrations of pesticide between field application and loss in water moving from the site into surface waters. Evaluation of model predictions against available field data from three sites and four soil types in England shows that SWAT is capable of predicting the transient peak concentrations of a wide range of pesticides during rapid water movement to streams in response to rainfall. Predicted concentrations were too great when rainfall initiated water movement to streams very soon after pesticide application, particularly for the more mobile pesticides, and some predictions for pesticides sorbed very strongly to soil were relatively poor. Almost all of the predicted concentrations were within one order of magnitude of measured values. 相似文献
2.
BACKGROUND: Physically based tier‐II models may serve as possible alternatives to expensive field and laboratory leaching experiments required for pesticide approval and registration. The objective of this study was to predict pesticide fate and transport at five different sites in Hawaii using data from an earlier field leaching experiment and a one‐dimensional tier‐II model. As the predicted concentration profiles of pesticides did not provide close agreement with data, inverse modeling was used to obtain adequate reactive transport parameters. The estimated transport parameters of pesticides were also utilized in a tier‐I model, which is currently used by the state authorities to evaluate the relative leaching potential. RESULTS: Water flow in soil profiles was simulated by the tier‐II model with acceptable accuracy at all experimental sites. The observed concentration profiles and center of mass depths predicted by the tier‐II simulations based on optimized transport parameters provided better agreements than did the non‐optimized parameters. With optimized parameters, the tier‐I model also delivered results consistent with observed pesticide center of mass depths. CONCLUSION: Tier‐II numerical modeling helped to identify relevant transport processes in field leaching of pesticides. The process‐based modeling of water flow and pesticide transport, coupled with the inverse procedure, can contribute significantly to the evaluation of chemical leaching in Hawaii soils. Copyright © 2011 Society of Chemical Industry 相似文献
3.
To evaluate the fate of pesticides in paddy fields, the pesticide paddy field model (PADDY) has been developed for predicting pesticide concentrations in paddy fields and the run-off amount of pesticides to the aquatic environment. This model focused particularly on granule formulation because these formulations have been used widely as herbicides on paddy fields in Japan. The behavior of pesticides in paddy fields was assessed by considering the main processes on the basis of a compartment system and the mass-balance equations of pesticides in the compartments were derived from kinetic data. The mathematical model, PADDY, was constructed by numerical solution techniques. A method for measuring the pesticide parameters for this model was also developed. To validate the model, a field experiment was carried out on a paddy field and the concentration changes of pesticides in water and soil were measured. These were in reasonably good agreement with those predicted by PADDY. © 1999 Society of Chemical Industry 相似文献
4.
农药对健康及环境影响药迹模型的构建与应用 总被引：1，自引：0，他引：1
为了更好地评估农药使用对人类健康和生态环境的综合影响,利用可方便获取的农药有效成分特性数据资源,在综合考虑健康及环境影响评估的定量化、参数的代表性、测试方法的标准化、现有可获取数据的权威性和完整性,以及评估核算过程的便利性等要求基础上,构建了药迹模型及其指标体系。采用所建立的药迹模型可计算得到表征各种农药对健康和环境影响力的药迹指数,再结合农药用量数据,即可对不同时空尺度下农药使用产生的健康和环境影响进行定量化的核算和比较。通过该模型对70种代表性农药进行核算,结果表明,药迹指数为0.002~111.348 PTU/kg,单次用量药迹为0.001~41.412 PTU/hm2,不同农药品种间差距很大。该药迹模型具有广泛的应用前景,如药迹指数可用于农药危害性分类,药迹核算可用于农药减施成效评估,药迹限量可用于农药施用限量标准制定等。 相似文献
5.
Aaldrik Tiktak Anthonius M. A. van der Linden Leo J. T. van der Pas 《Pest management science》1998,52(4):321-336
The Pesticide Transport Assessment model (PESTRAS) is a process-oriented model to simulate the fate and movement of water and pesticides in a cropped field soil. The model was evaluated using field data for bromide, ethoprophos and bentazone, collected from a field experiment in a humic sandy soil near Vredepeel, the Netherlands. Model predictions were generally within the 95% confidence intervals of the observations when site-specific model inputs were used. If generic parameter values were used, the model predictions sometimes deviated strongly from the observed data. This was especially true for pesticide degradation properties. The bromide simulations showed that preferential flow was not an important process for this field soil. A significant fraction of the applied ethoprophos disappeared by surface volatilization. The downward movement of this pesticide was slightly overestimated, due to not considering sorption kinetics. The depth-dependence of pesticide transformation was atypical: an important fraction of the applied bentazone was transformed under micro-aerobic to anaerobic conditions in the subsoil. © 1998 SCI 相似文献
6.
BACKGROUND: For the registration of pesticides in the European Union, model simulations for worst‐case scenarios are used to demonstrate that leaching concentrations to groundwater do not exceed a critical threshold. A worst‐case scenario is a combination of soil and climate properties for which predicted leaching concentrations are higher than a certain percentile of the spatial concentration distribution within a region. The derivation of scenarios is complicated by uncertainty about soil and pesticide fate parameters. As the ranking of climate and soil property combinations according to predicted leaching concentrations is different for different pesticides, the worst‐case scenario for one pesticide may misrepresent the worst case for another pesticide, which leads to ‘scenario uncertainty’. RESULTS: Pesticide fate parameter uncertainty led to higher concentrations in the higher percentiles of spatial concentration distributions, especially for distributions in smaller and more homogeneous regions. The effect of pesticide fate parameter uncertainty on the spatial concentration distribution was small when compared with the uncertainty of local concentration predictions and with the scenario uncertainty. CONCLUSION: Uncertainty in pesticide fate parameters and scenario uncertainty can be accounted for using higher percentiles of spatial concentration distributions and considering a range of pesticides for the scenario selection. Copyright © 2010 Society of Chemical Industry 相似文献
7.
为探明不同类型农药中重金属分布特征及农药被使用后其中重金属在土壤和蔬菜中的累积风险，从市场采集54个常用农药制剂品种并开展田间试验，研究不同农药制剂中重金属的含量分布及其使用安全风险。结果表明:农药制剂中存在一定量的重金属，其中Cr、As、Cd、Hg和Pb的平均含量分别为21.2、3.23、0.78、0.85和3.43 mg/kg；在非Cu/Zn农药制剂中，Cu和Zn的平均含量分别为9.22 和18.1 mg/kg；每种农药中检出重金属元素在3~7种；在Cu制剂中有较高含量的Zn，而在Zn制剂中伴随有较高含量的Cu和Cd。农药制剂中Zn-Cd、Cr-Pb-As、Hg-As的含量显著相关，来源具有同源性。在农药使用当年，土壤中重金属含量增加约5.74 × 10?8~5.46 × 10?5 mg/kg，其中施用杀虫剂后Cr、As、Hg及施用杀菌剂后Cu、Zn、Cd在土壤中的增量相对高于施用其他类型农药，但相比中国国家标准 GB15618 — 2018《土壤环境质量 农用地土壤污染风险管控标准(试行)》，由农药使用带来的土壤中重金属的年累积量可忽略不计；相比未喷施农药的对照，施用噻森铜5次，可使白菜中的Pb含量显著增加，施用丙森锌3次和5次均可使白菜中的Cd含量显著增加，但Cd、Pb均未超过国家标准限量值，最高含量约为限量值的20%和10%，风险较低。 相似文献
8.
The Root Zone Water Quality Model (RZWQM) is a comprehensive, integrated physical, biological and chemical process model that simulates plant growth and movement of water, nutrients and pesticides in a representative area of an agricultural system. We tested the ability of RZWQM to predict surface runoff losses of atrazine, alachlor, fenamiphos and two fenamiphos oxidative degradates against results from a 2-year mesoplot rainfall simulation experiment. Model inputs included site-specific soil properties and weather, but default values were used for most other parameters, including pesticide properties. No attempts were made to calibrate the model except for soil crust/seal hydraulic conductivity and an adjustment of pesticide persistence in near-surface soil. Approximately 2.5 (+/- 0.9), 3.0 (+/- 0.8) and 0.3 (+/- 0.2)% of the applied alachlor, atrazine and fenamiphos were lost in surface water runoff, respectively. Runoff losses in the 'critical' events--those occurring 24 h after pesticide application--were respectively 91 (+/- 5), 86 (+/- 6) and 96 (+/- 3)% of total runoff losses for these pesticides. RZWQM adequately predicted runoff water volumes, giving a predicted/observed ratio of 1.2 (+/- 0.5) for all events. Predicted pesticide concentrations and loads from the 'critical' events were generally within a factor of 2, but atrazine losses from these events were underestimated, which was probably a formulation effect, and fenamiphos losses were overestimated due to rapid oxidation. The ratios of predicted to measured pesticide concentrations in all runoff events varied between 0.2 and 147, with an average of 7. Large over-predictions of pesticide runoff occurred in runoff events later in the season when both loads and concentrations were small. The normalized root mean square error for pesticide runoff concentration predictions varied between 42 and 122%, with an average of 84%. Pesticide runoff loads were predicted with a similar accuracy. These results indicate that the soil-water mixing model used in RZWQM is a robust predictor of pesticide entrainment and runoff. 相似文献
9.
三种新烟碱类杀虫剂在土壤中的残留降解及影响因子 总被引：1，自引：0，他引：1
建立了吡虫啉、啶虫脒和噻虫嗪在土壤中的高效液相色谱-串联质谱（HPLC-MS/MS）检测方法。样品经乙腈提取和QuEChERS法净化后,采用HPLC-MS/MS检测,外标法定量,在0.01~1.0 mg/kg添加水平下,3种新烟碱类杀虫剂在土壤中的回收率在89%~103%之间,相对标准偏差（RSD）在1.3%~10.3%之间,定量限均为0.01 mg/kg。采用建立的方法,在室内模拟条件下,研究了土壤微生物、温度、土壤含水量及农药初始浓度对土壤中吡虫啉、啶虫脒和噻虫嗪降解的影响。结果表明:土壤微生物是影响农药残留降解的首要因素,灭菌处理土壤中农药残留降解速率明显低于非灭菌土壤。此外,环境温度、土壤含水量、初始浓度等因素也会对农药残留降解产生不同影响,土壤含水量为最大持水量的60%左右时降解最快,半衰期分别为15.6、7.2和25.8 d;农药初始浓度越高,降解速度越慢;在5~35℃范围内,随着温度的升高,降解速度加快。 相似文献
10.
The Root Zone Water Quality Model (RZWQM) is a one-dimensional, numerical model for simulating water movement and chemical transport under a variety of management and weather scenarios at the field scale. The pesticide module of RZWQM includes detailed algorithms that describe the complex interactions between pesticides and the environment. We have simulated a range of situations with RZWQM, including foliar interception and washoff of a multiply applied insecticide (chlorpyrifos) to growing corn, and herbicides (alachlor, atrazine, flumetsulam) with pH-dependent soil sorption, to examine whether the model appears to generate reasonable results. The model was also tested using chlorpyrifos and flumetsulam for the sensitivity of its predictions of chemical fate and water and pesticide runoff to various input parameters. The model appears to generate reasonable representations of the fate and partitioning of surface- and foliar-applied chemicals, and the sorption of weakly acidic or basic pesticides, processes that are becoming increasingly important for describing adequately the environmental behavior of newer pesticides. However, the kinetic sorption algorithms for charged pesticides appear to be faulty. Of the 29 parameters and variables analyzed, chlorpyrifos half-life, the Freundlich adsorption exponent, the fraction of kinetic sorption sites, air temperature, soil bulk density, soil-water content at 33 kPa suction head and rainfall were most sensitive for predictions of chlorpyrifos residues in soil. The latter three inputs and the saturated hydraulic conductivity of the soil and surface crusts were most sensitive for predictions of surface water runoff and water-phase loss of chlorpyrifos. In addition, predictions of flumetsulam (a weak acid) runoff and dynamics in soil were sensitive to the Freundlich equilibrium adsorption constant, soil pH and its dissociation coefficient. 相似文献
11.
七种农药在3种不同类型土壤中的吸附及淋溶特性 总被引：5，自引：3，他引：2
采用振荡平衡法和土柱淋溶法研究了2,4-滴酸、丁噻隆、毒草胺、炔草酸、氟环唑、甲基磺草酮和烯啶虫胺7种农药在江西红壤、太湖水稻土及东北黑土3种不同理化性质土壤中的吸附及淋溶特性,探讨了农药性质及土壤理化性质对供试农药在土壤中吸附、淋溶行为的影响。结果表明:农药的水溶性越大,其在土壤中的吸附性越弱,淋溶性越强;农药在土壤中的吸附性与土壤pH值、有机质含量以及阳离子交换量之间有较好的相关性。土壤pH值、有机质含量以及农药性质是影响农药在土壤中淋溶及迁移的主要因素。 相似文献
12.
Richard H. Bromilow Avis A. Evans Peter H. Nicholls Alan D. Todd Geoffrey G. Briggs 《Pest management science》1996,48(1):63-72
Concern has been expressed that repeated use of pesticides may be leading to accumulation of residues in soil and to damaging effects on the environment. A long-term experiment, known as the Chemical Reference Plots, was started in 1974 on a silty clay loam soil at Rothamsted in which plots received applications of up to five pesticides (aldicarb, benomyl, chlorfenvinphos, glyphosate and chlorotoluron or triadimefon), each plot receiving the same treatment annually for up to 20 years. Spring barley was grown each year, and its yield was taken as an indicator of soil fertility. The glyphosate and triadimefon were applied to the autumn stubble prior to ploughing from growing seasons 1980 and 1982 respectively, chlorotoluron was sprayed pre-emergence (1974 and 1976 only) and the other compounds were incorporated into the soil in spring immediately before sowing (1974–1993 inclusive). No deleterious effects on crop productivity were observed from these pesticide applications, and no differences could be found in microbial processes in soils sampled in April 1992 save for a small increase in the amount of microbial-biomass carbon in plots receiving aldicarb. No pesticide residues could be detected in soil taken in August 1994, 17 months after the last experimental treatment. In laboratory incubations using these same soil samples, the degradation of aldicarb residues was greatly enhanced in plots that had received aldicarb for 20 years, whereas degradation rates of benomyl, chlorfenvinphos and triadimefon residues were not influenced by the treatment history. 相似文献
13.
J. J. T. I. Boesten 《Pest management science》1991,31(3):375-388
The sensitivity of pesticide leaching to pesticide/soil properties and to meteorological conditions was assessed by calculations with an existing convection—dispersion model. The model assumes equilibrium sorption (Freundlich equation), first-order transformation kinetics and passive plant uptake. The extent of pesticide leaching was characterized by the percentage of the dose leached below 1 m depth. The calculations were carried out for a humic sand soil cropped with maize and exposed to Dutch weather conditions. In general, the percentage leached was found to be very sensitive to the sorption coefficient, the Freundlich exponent (describing the curvature of the isotherm) and the transformation rate. The percentage leached was moderately sensitive to weather conditions (wet/dry years), long-term sorption equilibration and the relationship between transformation rate and temperature. Sensitivity to the extent of plant uptake was only significant for pesticides with low sorption coefficients. Sensitivity to soil hydraulic properties was small. The effect of application in autumn instead of in spring was found to be very large for non-sorbing pesticides with short half-lives. The sensitivity to spatial variability in sorption coefficient and transformation rate was found to be substantial at low percentages leached. 相似文献
14.
Boesten 《Weed Research》2000,40(1):123-138
Modelling is an economic way of assessing pesticide behaviour under field conditions; it is cheaper and faster than field experiments. Modelling attempts to generalize knowledge of pesticide field behaviour through identification of the most important pesticide/soil properties that can be measured in the laboratory. The technology to simulate volatilization of volatile pesticides that are incorporated or injected into the soil is well developed. However, modelling of volatilization rates from plant and soil surfaces before the first significant rainfall event after application is barely possible with current knowledge. The technology to simulate pesticide persistence in the plough layer is well developed; the PERSIST model has been tested at least 178 times, usually resulting in a slightly faster decline in the field than was simulated. In general, available pesticide leaching models are reliable enough to assess the leaching of the bulk of the dose (leaching levels above 1%). The EU drinking water limit of 0.1 μg L?1 implies leaching of less than 0.1% of a dose of 1 kg ha?1. At such a low leaching level, the validation status of the models is still low, mainly because preferential flow processes in both structured and unstructured soils and the factors controlling the transformation rate in subsoil are not well enough understood. 相似文献
15.
Garrido Frenich A González Rodríguez MJ Martínez Vidal JL Arrebola FJ Hernández Torres ME 《Pest management science》2005,61(5):458-466
A simple method for multi-residue analysis of pesticides by low-pressure gas chromatography-tandem mass spectrometry (LP-GC-MS-MS) has been validated in compost samples. The pesticide residues were extracted from the lyophilised samples with organic solvent by stirring. No sample clean-up was required prior to the analysis. The method was applied to determine the fate of two organochlorine pesticides (lindane and endosulfan) and two organophosphates (malathion and chlorpyrifos-methyl) during the composting process in the reactor of a pilot plant. Malathion, chlorpyrifos-methyl and lindane residues almost fully disappeared after 8 days of maturation in the reactor, while endosulfan residues were only partially degraded. Alongside this, a study of natural disappearance of the pesticides was carried out in the laboratory and a characteristic time profile was traced for each pesticide class. 相似文献
16.
Nolan BT Dubus IG Surdyk N Fowler HJ Burton A Hollis JM Reichenberger S Jarvis NJ 《Pest management science》2008,64(9):933-944
BACKGROUND: Key climatic factors influencing the transport of pesticides to drains and to depth were identified. Climatic characteristics such as the timing of rainfall in relation to pesticide application may be more critical than average annual temperature and rainfall. The fate of three pesticides was simulated in nine contrasting soil types for two seasons, five application dates and six synthetic weather data series using the MACRO model, and predicted cumulative pesticide loads were analysed using statistical methods. RESULTS: Classification trees and Pearson correlations indicated that simulated losses in excess of 75th percentile values (0.046 mg m(-2) for leaching, 0.042 mg m(-2) for drainage) generally occurred with large rainfall events following autumn application on clay soils, for both leaching and drainage scenarios. The amount and timing of winter rainfall were important factors, whatever the application period, and these interacted strongly with soil texture and pesticide mobility and persistence. Winter rainfall primarily influenced losses of less mobile and more persistent compounds, while short-term rainfall and temperature controlled leaching of the more mobile pesticides. CONCLUSIONS: Numerous climatic characteristics influenced pesticide loss, including the amount of precipitation as well as the timing of rainfall and extreme events in relation to application date. Information regarding the relative influence of the climatic characteristics evaluated here can support the development of a climatic zonation for European-scale risk assessment for pesticide fate. 相似文献
17.
叶菜上农药原始沉积行为受作物形态、农药种类及其剂型、施用方式等多种因素的影响,是评估农药残留的重要指标。以吡虫啉和啶虫脒为目标农药,以菠菜和生菜作为靶标作物,通过农药施用后的原始沉积行为,以及兑水量、叶面积指数和农药剂型对农药沉积的影响,初步揭示了农药原始沉积规律。结果表明：施药后0.5～8 h内其沉积量无显著差异,综合考虑,选择施药后2 h时测定其原始沉积量;两种农药在菠菜和生菜中主要沉积在叶片表面,沉积量占比均在87%以上,在根和土壤中的沉积量较少;农药施药剂量相同而兑水量不同,则原始沉积量存在显著差异,随着兑水量的增加,沉积量逐渐减少;菠菜和生菜中农药沉积量与叶面积指数呈负相关;原始沉积量与剂型也有相关性,在施药剂量相同时,吡虫啉在菠菜、生菜中原始沉积量最高均为可湿性粉剂,沉积量分别为0.66和0.77 mg/kg;啶虫脒在菠菜中原始沉积量最高为乳油和可湿性粉剂,沉积量均为0.65 mg/kg,生菜中原始沉积量最高为可湿性粉剂,沉积量为0.37 mg/kg。研究结果认为,农药剂型、兑水量和叶面积指数均会影响叶菜表面农药原始沉积量,该结果可为叶菜中农药合理安全施用和农药残留管控提供... 相似文献
18.
为了有效地应对入世后出口蔬菜面临的种种技术壁垒挑战．2002年11月份起从出口蔬菜基地灌溉水和土壤农药残留普查、蔬菜农药残留量检测、基地所用农药有效成分分析、日本官方未登记农药监控4个方面,实施对宁波出口蔬菜基地农药残留量的监控工作。结果表明,基地灌溉水和土壤农药残留污染轻微,土壤农药残留量达到我国土壤环境质量一级与二级标准;蔬菜农药残留量控制良好,农药残留量均未超过输入国规定的限量要求：农药有效成分经分析与标识一致：重点监控了日本官方未登记或登记已失效而在宁波地区个别农民可能使用的农药,确保蔬菜的卫生质量。 相似文献
19.
BACKGROUND
Degradation kinetics of pesticides in plants are crucial for modeling mechanism-based pesticide residual concentrations. However, due to complex open-field conditions that involve multiple pesticide plant uptake and elimination processes, it is difficult to directly measure degradation kinetics of pesticides in plants. To address this limitation, we proposed a modeling approach for estimating degradation rate constants of pesticides in plants, using potato as a model crop. An operational tool was developed to backward-estimate degradation rate constants, and three pesticides were selected to perform example simulations.RESULTS
The simulation results of thiamethoxam indicated that the growth dynamics of the potato had a significant impact on the degradation kinetic estimates when the pesticide was applied during the early growth stage, as the size of the potato determined the uptake and elimination kinetics via diffusion. Using mepiquat, we demonstrated that geographical variations in weather conditions and soil properties led to significant differences in the dissipation kinetics in both potato plants and soil, which propagated the variability of the degradation rate constant. Simulation results of chlorpyrifos differed between two reported field studies, which is due to the effect of the vertical distribution of the residue concentration in the soil, which is not considered in the majority of recent studies.CONCLUSIONS
Our proposed approach is adaptable to plant growth dynamics, preharvest intervals, and multiple pesticide application events. In future research, it is expected that the proposed method will enable region-specific inputs to improve the estimation of the degradation kinetics of pesticides in plants. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. 相似文献20.
西北春小麦和麦田土壤中15种常用农药残留的检测 总被引：1，自引：0，他引：1
为掌握西北春小麦和麦田土壤的农药残留污染状况,在调研和总结分析了西北春小麦的病、虫、草害发生和防治措施基础上,采集了我国西北地区甘肃、青海、宁夏的9个春小麦产区的小麦籽粒和麦田土壤样品。针对春小麦病虫草害防治中常用的农药,使用HPLC-MS/MS和GC-MS方法,测定了吡虫啉、高效氯氰菊酯、辛硫磷、毒死蜱等4种杀虫剂,三唑酮及其代谢物三唑醇、戊唑醇、多菌灵、三环唑、苯醚甲环唑等6种杀菌剂,精噁唑禾草灵、苯磺隆、2,4-滴丁酯、炔草酯及其代谢物炔草酸等5种除草剂,共15种农药及代谢物在小麦籽粒和麦田土壤中的残留量。通过与小麦中农药残留限量相比较,评价了西北春小麦的食品安全。结果显示,仅在采自甘肃金昌的小麦籽粒样品中检出了戊唑醇,且未超过最大残留限量,在其他样品中均未检出15种农药的残留,表明西北春小麦和麦田土壤的农药安全性均较高。本研究为掌握小麦籽粒的农药残留和麦田土壤的农药污染情况提供了研究数据,为进一步指导西北春小麦的绿色无公害病虫害防治提供了参考。 相似文献