Evaluation of the levels and sources of trace elements in urban particulate matter

An assessment of air quality of Belgrade, Serbia, was performed by determining the trace element content in airborne daily PM₁₀ and PM_2.5 samples collected from a central urban area. The ambient concentrations of Zn were the highest in PM_2.5 (1,998.0 ng m⁻³). Multivariate receptor modelling (principal component analysis and cluster analysis) has been applied to determine the contribution of different sources of specific metallic components in airborne particles. The obtained results showed that vehicle traffic and fossil fuel combustion in stationary objects were the main sources of trace metals in Belgrade urban aerosols.     

Study on particulate and metallic elements variation at daytime and nighttime period in urban atmosphere

Daily PM_2.5, PM_2.5–10 and TSP have been collected by Universal and PS‐1 sampler simultaneously at a site within Taichung between February and March 1999. The filters were analyzed by atomic absorption spectrophotometry for the elemental analysis of Ca, Fe, Mn, Pb, Cu, Zn and Cr. In general, the concentration of these metallic elements are higher in fine particles than in coarse particles. On average, PM₁₀ accounted for 67% of the TSP at daytime, while at nighttime PM₁₀ accounted for only 44% of the TSP. For PM_2.5, PM₂._5–10 and TSP concentrations, there were no significant differences between day and night period. The averaged concentrations of metallic elements in PM_2.5 at daytime were all higher than that at nighttime. Ca, Fe and Zn have large and variable PM_2.5 concentrations at both daytime and nighttime. For the daytime Zn and Pb account for the largest portion of the heavy metal elements. For the nighttime, Zn and Cr make the largest portion of the heavy metal elements. The concentrations of Mn were higher on fine particulates. The trace metals Cu and Cr in Taichung are probably due to particulates emitted by Taichung Fire Power Plants transported into the sampling area by the prevailing northwesterly wind.     

Study on particulate matter air pollution,source origin,and human health risk based of PM10 metal content in Volos City,Greece

Investigations on the fluctuation in PM₁₀ air pollution in Volos, a medium-sized industrialized port city in the Mediterranean, are presented for the 5-year period between 2009 and 2014. The levels detected have been examined in relation to legislatively set limits, sampling year, and day of the week. A PM₁₀ spring sampling campaign has been performed in 2014 and metals and other elements in the PM₁₀ mass have been quantified. Source origin has been attempted for the latter sampling campaign and human health risk has been assessed. Results show compliance with the mean annual value of 40 μg m^?3 of 2008/50/EC for the city; however, exceedances of the daily quality standard of 50 μg m^?3 were frequently recorded. Shifts in PM₁₀ concentrations and in contributing sources have been recorded; nevertheless, longer duration data series are needed for safe deductions. Element measurements have enabled source identification for early summer of 2014, with Earth's crust minerals and anthropogenic sources being the main factors. Cumulative non-carcinogenic risk may exceed the threshold value of 1. Possible involvement of sea salt aerosol and desert dust long-range transport has also been assessed. These results may furnish databases on PM pollution of Greek cities as well as other Mediterranean urban centers with similar characteristics.     

Determination of total and bioaccessible metals in airborne particulate matter from an urban and a rural area at Sarajevo

Airborne particulate matter of up to 10 µm collected at an urban and a rural area at Sarajevo in 2013 and 2014 was acid digested for determination of total concentrations or extracted with synthetic gastric juice for the bioaccessible fractions of Cd, Cr, Cu, Fe, Mn, Ni, Pb, V, and Zn and determined by graphite furnace and flame atomic absorption spectrometry. The total concentrations of Cr, Cu, Fe, Mn, Pb, and V were higher at the urban site, while those of Cd, Ni, and Zn were virtually equal at both sites. The average bioaccessible fractions exhibited the following trend at both sites: Fe > Zn > Cu > Mn > Pb > Cr > V > Ni > Cd. Enrichment factors and daily intake of metals by inhalation were calculated.     

Source identification of particulate matter and associated intake of elements through inhalation in an industrial area of Odisha,India

Particulate matter concentrations were measured in an industrial region in the Ganjam district of Odisha. The average levels of suspended particulate matter (SPM) were measured to be 142 ± 8 and PM₁₀ of particulate matter with a size of less than 10 micrometers (PM₁₀) to be 50 ± 15 μg m^?3. Out of the 14 elements determined, Ca, Na, Mg, Fe, and K contributed more than 95% of the total weight. In enrichment factors, the trace elements, i.e., Zn, Pb, Cd, and Hg were observed to be highly enriched in the SPM and PM₁₀. Factor analysis indicates that more than 75% of the variance was due to five component factors, which have eigenvalues greater than 1. Intake of elements through inhalation route to adults has been estimated.     

Characterization and in vitro biological effects of ambient air PM10 from a rural,an industrial and an urban site in Sulaimani City,Iraq

Abstract

High urban atmospheric pollution is caused by economic and industrial growth, especially in developing countries. The objective of this study was to assess possible relationships between in vitro effects on human alveolar epithelial cells of source-related dust types collected at Sulaimani City (Iraq), and to determine their mineralogical and chemical composition. A passive sampler was used to collect dust particles at a rural, an industrial and an urban sampling site during July and August 2014. The samples were size-fractionated by a low-pressure impactor to obtain respirable dust with aerodynamic diameters of less than 10?µm. The dust was mainly composed of quartz and calcite. Chrysotile fibers (white asbestos) were also found at the urban site. Dust from the industrial and urban sites triggered cytotoxic and genotoxic effects in the cells, whereas only minor effects were observed for the sample from the rural site.     

Metal characterization of airborne particulate matters in a coastal region

The concentrations of suspended particulate matter in the air of the Orissa Sand Complex had an average value of 128 ± 10 µg m^?3 in residential areas and 170 ± 8 µg m^?3 in mining areas. PM₁₀ levels in residential areas were found to have an average of 35 ± 10 µg m^?3, in mining areas 45 ± 10 µg m^?3. The distribution of some elements is also discussed here. Inhalation doses were observed to be higher in summer than in winter and the rainy season. The highest dose rate was for the age group of 1 year, and health risks were found to be highest for the same. For adults, inhalation dose and health risk are 1.3 times higher in mining than in residential areas.     

Trace elements in particulate matter of ambient air at petroleum filling stations

Size segregated suspended particulate matter (PM_2.5 and PM_10-2.5) in air at four major petroleum-filling stations in Ile-Ife, Nigeria, were monitored using double staged “Gent” stacked samplers to assess variations in mass loads and elemental concentrations of 25 elements. Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Br, Rb, Sr, Zr, Cs, Ta, W, and Pb were determined in both fractions by external ion beam proton-induced X-ray emission technique. Enrichment factors and pollution indices were calculated and results revealed that most elements were anthropogenic in both fractions with concentrations exceeding the World Health Organization guideline standards.     

铬渣污染土壤PM10和PM2.5组分中六价铬的生物可给性及健康风险评估

为获取土壤细颗粒组分中污染物的浓度及其生物可给性,分析了某铬渣污染场地土壤PM_(10)和PM_(2.5)组分中六价铬的浓度分布特征,并采用统一生物可给性测试方法(Unified Bioaccessibility Method,UBM)和呼吸吸入生物可给性测试方法(Inhalation Bioaccessibility Method,IBM) 2种体外模拟法测试了六价铬在胃、肠及肺中的生物可给性。结果显示:(1)六价铬和总铬在PM_(10)和PM_(2.5)组分中的含量大多明显低于PM_(250)组分,PM_(10)组分中六价铬和总铬的累积因子(accumulation factors,AF)分别为0.080#12.297和0.008#0.261,PM_(2.5)组分中六价铬和总铬的AF分别为0.019#5.721和0.005#0.342,相比于总铬而言,六价铬在细颗粒中的累积程度更高。较低的有机质(organic matter,OM)含量可能导致了六价铬AF的明显增加。不同组分中六价铬占总铬的比例分别为2%#17%(<250μm)、21%#98%(<10μm)和22%#82%(<2.5μm),表明在土壤细颗粒中,铬更多地以六价铬的形式存在;(2)通过UBM获取的PM_(250)组分中六价铬在胃提取阶段的生物可给性因子为0.0301%#0.9483%,平均值为0.4821%;肠阶段可给性因子为0.0018%#0.3934%,平均值为0.1578%,约为胃提取阶段的0.33倍;(3)通过IBM获取的PM_(10)组分中六价铬在肺阶段的生物可给性因子为2.52%#41.50%,平均值14.47%; PM_(2.5)组分中六价铬的生物可给性因子为2.40%#88.12%,平均值为48.86%,约为PM_(10)组分的3.38倍;(4)在考虑生物可给性条件下,六价铬产生的人体总致癌风险水平从2 430.04×10~(-6)下降至125.83×10~(-6),而且,六价铬呼吸途径产生的致癌风险水平极高,是经口摄入的5.04#176.38倍(胃)、10.92#10 198.00倍(肠),表明呼吸吸入是六价铬致癌风险最为关键的暴露途径。因此,通过测定土壤细颗粒组分中六价铬的生物可给性,能够显著提高铬渣污染土壤健康风险评估的可靠性。     

Modelling concentrations of airborne primary and secondary PM10 and PM2.5 with the BelEUROS-model in Belgium

The Eulerian Chemistry-Transport Model BelEUROS was used to calculate the concentrations of airborne PM₁₀ and PM_2.5 over Europe. Both primary as well as secondary particulate matter in the respirable size-range was taken into account. Especially PM_2.5 aerosols are often formed in the atmosphere from gaseous precursor compounds. Comprehensive computer codes for the calculation of gas phase chemical reactions and thermodynamic equilibria between compounds in the gas-phase and the particulate phase had been implemented into the BelEUROS-model. Calculated concentrations of PM₁₀ and PM_2.5 are compared to observations, including both the spatial and daily, temporal distribution of particulate matter in Belgium for certain monitoring locations and periods. The concentrations of the secondary compounds ammonium, nitrate and sulfate have also been compared to observed values. BelEUROS was found to reproduce the observed concentrations rather well. The model was applied to assess the contribution of emissions derived from the sector agriculture in Flanders, the northern part of Belgium, to PM₁₀- and PM_2.5-concentrations. The results demonstrate the importance of ammonia emissions in the formation of secondary particulate matter. Hence, future European emission abatement policy should consider more the role of ammonia in the formation of secondary particles.     

山东重点城市空气质量及其与气象要素的关系

利用山东省济南、青岛2001—2010年以及其他7个重点城市2005—2010年逐日空气污染指数（API）和同期的常规气象资料,运用统计方法,分析了各市空气质量年、季变化特征,并利用SPSS软件进一步分析探讨了API指数与风速、气温、降水、湿度、日照时数等气象因子的相关关系。结果表明：济南由于受能源结构、地形、气象条件等因素的影响,API指数累年平均值最大达到91.2,沿海城市空气质量明显好于内陆城市,日照 API 指数最小仅为56.5;从年际变化来看,济南由于加强对空气污染的治理,空气质量明显改善,API指数呈逐年下降趋势,其他城市有不同程度的增加或减小。空气质量具有明显的季节变化,各城市均是夏季空气质量最好,优良率天数频率最多,冬季最差,济南冬季发生轻微污染以上天数的频率最大占39.8%;各城市均以 PM10为首要污染物出现的频率为最多,出现以 NO2、SO2为首要污染物频率最多的城市分别是枣庄、潍坊,出现空气质量为优频率最多的城市是日照;各城市4季 API 指数与同期常规气象要素密切相关,4季API指数与降水均呈负相关,除济南春季外,与风速基本呈负相关,春、夏、秋3个季节API指数与相对湿度基本均成负相关,冬季API指数与日照时数成负相关、与气温、相对湿度成正相关。     

Source apportionment studies for particulates (PM10) in Kozhikode,South Western India using a combined receptor model

In the present work, source apportionment studies were carried out for particulate matter – one among the significant pollutants as addressed by The National Ambient Air Quality Standards. Advantages and disadvantages of each receptor model were addressed using a combined receptor model which integrates Factor Analysis (FA), Positive Matrix Factorisation (PMF) and Chemical Mass Balance (CMB). Verification of the approach was done using sets of synthetic data as well as field data from Kozhikode. Sampling was carried out in National Institute of Technology, Calicut for a period of over 26 days with 24-hour sampling. The sampling gave an average PM concentration value in the range of 29.174–129.176 µg m^?3. Studies using field data revealed five dominant sources and their contributions obtained from CMB and PMF were compared. Soil dust (contribution from CMB: 18%; contribution from PMF: 16%), marine aerosol (17%; 25%), construction and aggregate processing (46%; 11%), garden waste combustion (18%; 45%), and vehicular exhaust (1%; 3%) were major contributors in the site under study. The outcomes of the study integrated with the support of local authorities and by the acceptance of residents can definitely curb the pollution levels in the site under the study.     

Acute toxicity of the synthetic pyrethroid pesticide fenvalerate to some air breathing fishes

Lethal concentrations (LC₅₀) of a synthetic pyrethroid pesticide, fenvalerate, for three species of air breathing fish Clarias batrachus, Channa punctatus and Heteropneustes fossilis were determined under water and acetone soluble condition in the laboratory using the static bioassay procedure of the American Public Health Association (APHA,1995). Acetone soluble fenvalerate was found more toxic than the water-soluble fenvalerate irrespective of species and exposure periods. The LC₅₀ value upon 96 days exposure to acetone soluble fenvalerate for C. batrachus, Channa C. punctatus and Heteropneustes H. fossilis were 1.35, 1.0 and 0.65?µg?L^?1, respectively. It is concluded from the present study that fenvalerate is highly toxic even to the hardy air breathing fishes and the pesticide, when dissolved in water, remains photostable and active to render toxicity for long duration.     

Morphological and chemical characteristics of atmospheric particles in the Metropolitan Zone of Toluca Valley (Mexico)

Scanning electron microscopy with energy-dispersive spectroscopy has been used for both morphological and elemental chemistry analyses of atmospheric particles. This technique allows the in situ observation of individual aerosol particles in the sample chamber. Aerotransported particles were analysed from seven monitoring stations located in the Metropolitan Zone of Toluca Valley (MZTV). Several different morphologies were identified: aggregates, porous spheres, rough and smooth compact material. The elemental composition included C, Na, Mg, Al, Si, S, Cl, K, Mn, Ca, Ti, V, Cr, Fe, Ni, Cu, Zn and Ce. These are semiquantitative analyses considering the bulk sample or individual particles. It was possible to correlate or confirm some chemical associations such as C–S, Ca–S–O and Si–Al–O, probably due to the presence of compounds derived from incomplete combustion, building tailing materials and aluminosilicates of cortical origin. Bioaerosols such as pollen, spores, brochosomes and diatoms were identified in the zone; all these types of particles have a natural origin too. Several types of suspended particles were identified in the MZTV, they were from different sources (natural and anthropogenic) to which the population can be potentially exposed, and may cause harm in the short- and long-term, according to their chemical element composition and size.     

黄、渤海滨海带大气颗粒物时空分布与来源特征

PM10作为大气污染物监测的主要指标之一,探究大气PM10浓度对大气环境质量和人体健康评价具有重要意义。黄、渤海滨海带包括京、津和辽、冀、鲁、苏等工、农业大省,区域大气PM10污染的时空分布和来源特征具有复杂性和典型性。在锦州、北京、天津、烟台、青岛、连云港和盐城7个城市布设10个采样点,含7个城市点和3个农村点,开展为期一年的大气颗粒物的采样;同时,于冬季1月和夏季7月在锦州、天津和烟台进行合计60 d的加密采样,藉以确定研究区域大气PM10的时空分布和来源特征。结果表明,黄、渤海滨海带大气年均PM10总浓度为(129’18)"g·m~(-3),单月最低值出现在2015年7月盐城农村样点15"g·m~(-3),最高值为2015年3月北京城市点307"g·m~(-3)。盐城大气PM10浓度(城市点(85’27)"g·m~(-3)和农村点(66’35)"g·m~(-3))显著低于其他样点大气PM10浓度。渤海滨海带中西部的京(140’68"g·m~(-3))、津(169’60"g·m~(-3))两市大气PM10年均浓度显著高于东部的锦州(125’41"g·m~(-3))和烟台(109’31"g·m~(-3));而且黄海滨海带大气PM10年均浓度(114"g·m~(-3))显著低于渤海滨海带年均浓度(136"g·m~(-3)),总体上表现出西高东低、北高南低的特征。黄、渤海滨海带城市点和农村点年均浓度分别为(129’18)"g·m~(-3)和(112’30)"g·m~(-3);农村点春冬季大气PM10浓度和城市点浓度相当,无显著差异,夏秋季大气PM10浓度略低于城市浓度,表明农村地区大气颗粒物污染情况也较为严重,需受到关注。区域内PM10浓度季节变化整体表现为春冬高、夏秋低。利用多元回归分析初步判断黄、渤海滨海带PM10属于复合来源,大气PM10浓度约30%的变化与降水、人均能耗和沙尘天气相关。黄、渤海滨海带大气PM10浓度的昼夜变化不大,大气PM10浓度与气温呈现正相关,与风速和降水呈现负相关,表现为受各种气象因素综合作用的影响。     

PM_(2.5)和甲醛联合暴露致小鼠肺损伤及其分子机制的研究

我国城市当前普遍存在室外大气PM_(2.5)与室内甲醛(FA)联合污染状况,二者均被报道在单独暴露下可以导致肺损伤并诱导和诱发哮喘的急性发作,但其联合污染的具体效应,以及分子机制目前尚不清楚。为探究PM_(2.5)和/或甲醛暴露对小鼠的肺损伤及其可能的机制,分别将雄性Balb/c小鼠分为以下6组:对照组,AZD8055组,PM_(2.5)组,FA组,PM_(2.5)+FA组,PM_(2.5)+FA+AZD8055组。染毒结束后,观察肺组织病理学变化;检测肺组织氧化损伤,活性氧(reactive oxygen species,ROS),还原型谷胱甘肽(glutathione,GSH)和丙二醛(malondialdehyde,MDA)的含量,DNA损伤,DNA-蛋白质交联(DNA-protein crosslink,DPC)系数和8羟基脱氧鸟苷(8-OH-d G)的含量,以及细胞凋亡、半胱氨酸天冬氨酸蛋白酶-3(Caspase-3)的含量。结果表明,当吸入气态甲醛浓度为3 mg·m-3,气道滴注PM_(2.5)浓度为2.5 mg·m L-1时,肺组织出现不同程度的支气管重塑和炎症细胞浸润。ROS显著上升,GSH显著下降,DPC、8-OH-d G以及Caspase-3都显著上升。添加AZD8055后,肺组织损伤效应更加显著。PM_(2.5)复合甲醛的暴露导致小鼠肺损伤具有协同作用,氧化应激及其下游的DNA损伤可能是甲醛联合PM_(2.5)致小鼠肺损伤的一种重要机制。     

Fish as an indicator of aquatic environment: Multielemental neutron activation analysis of nutrient and pollutant elements in fish from Indian coastal areas

Fish is the main food in coastal areas and its analysis for toxic metals has been used as an indicator of the pollution status of the aquatic environment. Several different fish species from the three Indian coasts, Visakhapatnam in the east, Mumbai in the west and Mangalore in the south west and also inland freshwater fish from Nagpur in the central region for comparison were analyzed for up to 20 elements (As, Au, Ba, Br, Cl, Co, Cr, Cu, Fe, Hg, K, Mn, Na, P, Rb, Sb, Sc, Se, Sr, Zn) by instrumental neutron activation analysis (INAA). Dried fish samples in powdered form were irradiated with thermal neutrons in a nuclear reactor followed by high resolution gamma ray spectrometry at different intervals. Several Reference Materials (RMs) of biological origin were analyzed for quality assurance and data validation. Elemental contents in different fish species vary in a wide range depending on the species, its size, location, and aquatic environment. Fish from Mangalore showed highest mean contents of Cr (14.8?±?29.9?µg?g^?1), Cu (1005?±?643?µg?g^?1) and Sb (849?±?888?ng?g^?1) whereas those from Mumbai exhibited highest Hg (2066?±?2146?ng?g^?1) and P (20.3?±?4.63?µg?g^?1) but lowest Cu (6.30?±?3.10?µg?g^?1) contents. Fish from all the regions showed significant amounts of nutrient elements such as Na, K, P, Mn, Fe, Se and Zn as well as some pollutant elements (Br, Cr, Sb, Hg). No regularity in variation of elemental contents with the size was observed. Prawn (Panaeus latisulcatus), a popular fish species from four different regions showed wide variation in elemental contents of Cr, Mn, Fe, Zn, Se, P including toxic pollutants, Sb and Hg. An attempt has been made to calculate daily dietary intake (DDI) for some nutrient elements from Indian fish. Elemental data for Cr, Cu, Fe, Hg, Se, and Zn have been compared with those from other fish exporting countries.     

Comparison of sensitivity analysis techniques: A case study with the rice model WARM

The considerable complexity often included in biophysical models leads to the need of specifying a large number of parameters and inputs, which are available with various levels of uncertainty. Also, models may behave counter-intuitively, particularly when there are nonlinearities in multiple input-output relationships. Quantitative knowledge of the sensitivity of models to changes in their parameters is hence a prerequisite for operational use of models. This can be achieved using sensitivity analysis (SA) via methods which differ for specific characteristics, including computational resources required to perform the analysis. Running SA on biophysical models across several contexts requires flexible and computationally efficient SA approaches, which must be able to account also for possible interactions among parameters. A number of SA experiments were performed on a crop model for the simulation of rice growth (Water Accounting Rice Model, WARM) in Northern Italy. SAs were carried out using the Morris method, three regression-based methods (Latin hypercube sampling, random and Quasi-Random, LpTau), and two methods based on variance decomposition: Extended Fourier Amplitude Sensitivity Test (E-FAST) and Sobol’, with the latter adopted as benchmark. Aboveground biomass at physiological maturity was selected as reference output to facilitate the comparison of alternative SA methods. Rankings of crop parameters (from the most to the least relevant) were generated according to sensitivity experiments using different SA methods and alternate parameterizations for each method, and calculating the top-down coefficient of concordance (TDCC) as measure of agreement between rankings. With few exceptions, significant TDCC values were obtained both for different parameterizations within each method and for the comparison of each method to the Sobol’ one. The substantial stability observed in the rankings seem to indicate that, for a crop model of average complexity such as WARM, resource intensive SA methods could not be needed to identify most relevant parameters. In fact, the simplest among the SA methods used (i.e., Morris method) produced results comparable to those obtained by methods more computationally expensive.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

Identifying key life-traits for the dynamics and gene flow in a weedy crop relative: Sensitivity analysis of the GeneSys simulation model for weed beet (Beta vulgaris ssp. vulgaris)

The benefits of genetically modified herbicide-tolerant (GMHT) sugar beet (Beta vulgaris) varieties stem from their presumed ability to improve weed control and reduce its cost, particularly targeting weed beet, a harmful annual weedy form of the genus Beta (i.e. B. vulgaris ssp. vulgaris) frequent in sugar beet fields. As weed beet is totally interfertile with sugar beet, it is thus likely to inherit the herbicide-tolerance transgene through pollen-mediated gene flow. Hence, the foreseeable advent of HT weed beet populations is a serious threat to the sustainability of GM sugar beet cropping systems. For studying and quantifying the long-term effects of cropping system components (crop succession and cultivation techniques) on weed beet population dynamics and gene flow, we developed a biophysical process-based model called GeneSys-Beet in a previous study. In the present paper, the model was employed to identify and rank the weed life-traits as function of their effect on weed beet densities and genotypes, using a global sensitivity analysis to model parameters. Monte Carlo simulations with simultaneous randomization of all life-trait parameters were carried out in three cropping systems contrasting for their risk for infestation by HT weed beets. Simulated weed plants and bolters (i.e. beet plants with flowering and seed-producing stems) were then analysed with regression models as a function of model parameters to rank processes and life-traits and quantify their effects. Key parameters were those determining the timing and success of growth, development, seed maturation and the physiological end of seed production. Timing parameters were usually more important than success parameters, showing for instance that optimal timing of weed management operations is more important than its exact efficacy. The ranking of life-traits though depended on the cropping system and, to a lesser extent, on the target variable (i.e. GM weeds vs. total weed population). For instance, post-emergence parameters were crucial in rotations with frequent sugar beet crops whereas pre-emergence parameters were most important when sugar beet was rare. In the rotations with frequent sugar beet and insufficient weed control, interactions between traits were small, indicating diverse populations with contrasted traits could prosper. Conversely, when sugar beet was rare and weed control optimal, traits had little impact individually, indicating that a small number of optimal combinations of traits would be successful. Based on the analysis of sugar beet parameters and genetic traits, advice for the future selection of sugar beet varieties was also given. In climatic conditions similar to those used here, the priority should be given to limiting the presence of hybrid seeds in seed lots rather than decreasing varietal sensitivity to vernalization.