Different Seasons Of Year Research Articles

Application of Bayesian statistics to model Incidence of Vibrio parahaemolyticus associated with fishery products and their geographical distribution in China

Vibrio parahaemolyticus is a bacterial pathogen commonly detected in fishery products. However, incidences of this pathogen in fishery products reported in previous studies varied dramatically. This study aimed at producing reliable estimates of prevalence and geographical distribution of Vibrio parahaemolyticus in fishery products in China, by the use of hierarchical random effects Bayesian modelling. Results indicated that national incidence of Vibrio parahaemolyticus in fishery products in China was 15.66% (95% CI, 12.88%–18.80%), and remained steady during the period of 2008–2017. Incidences of Vibrio parahaemolyticus in fishery products were generally higher in Southeast compared with the remaining part of China, and varied among different categories of fishery products as well as in different seasons of year. The methods described in this study generated reliable information on the incidence of Vibrio parahaemolyticus associated with fishery products and their geographical distributions in China, and could be used by regulatory authorities and other researchers to quantify prevalence of other food safety hazards associated with specific foods in a given market.

Geochemical characterization of modern aeolian dust over the Northeastern Arabian Sea: Implication for dust transport in the Arabian Sea

The Arabian Sea, one of the most biologically productive oceanic regions, receive significant amount of nutrients through aeolian dust deposition which have potential to modulate surface water biogeochemical processes. Identification of dust sources is important to assess role of dust deposition to surface water biogeochemistry. Here we report geochemical characteristics (major elements and trace metals composition, clay mineralogy and radiogenic isotopes of Sr and Nd) of aeolian dust, derived from dust storms in Middle East and South West Asia, to decipher its sources and possible transport pathways over the Arabian Sea. Twelve bulk aerosol samples were collected, during dusty period, at a coastal station (Goa; 15.4o N, 73.8o E) located in the Northeastern Arabian Sea, spanning over three years in different seasons. A preliminary estimation of sources for dust storms was done using satellite imagery and air mass back trajectory analyses. Major element and trace metal compositions of storm derived dust samples indicate insignificant contribution from anthropogenic sources. Illite and chlorite are major clay minerals found in all dust samples, however, high palygorskite content were observed for dust sourced from the Arabian Peninsula. A more uniform Sr-Nd signature is found for those derived from Arabia, however, highly variable Sr-Nd isotope signatures were observed for those derived from the South West Asia (Iran and Makran coast). The reported comprehensive data set on geochemical characteristics of mineral dust, is the first attempt that provides important information to understand present and past dust emission and deposition over the Arabian Sea.

Картографирование растительных сообществ подзоны темнохвойных лесов юга Сахалина на основе космических съёмок

Research was carried out improve efficiency of thematic mapping based on the recognition of plant communities in the subzone of dark coniferous forests for South of Sakhalin on multi-time satellite images of average resolution Landsat 8. We used reference samples of sites where geobotanical studies were conducted, for improve the quality of recognition during automated decryption. Experiments were conducted decode vegetation on singlechannel, synthesized multi-zone images obtained in different seasons of year. Spectral characteristics allow us identify plant communities in images based on morphological and physiological properties of various plants, which were quantified by reflection of vegetation in the spring image, and an integral indicator of photosynthetic activity of vegetation, which was evaluated by NDVI index calculated from spring and autumn images. Conceptual and methodological aspects of direct expert interpretation of vegetation from Landsat images by classification methods using ESRI ArcGIS raster algebra tools are considered. On example of study of vegetation communities of subzone of dark-coniferous forests of the South of Sakhalin with sufficient level of reliability, dark-coniferous forests, stone birch forest, cedar elfin formation, valley forests, thickets of Kuril bamboo, as well as residential zones, agricultural lands, areas devoid of vegetation as result of gravitational slope processes, wetlands, windfalls and man-made wasteland were identified. Decoding of vegetation cover from Landsat images showed that use of seasonal time series can significantly increase the reliability of the interpretation of most species of plant communities for the South of island. The research area is characterized by significant difference in altitude from 0 to 1100 m, as a result presence of high-altitude zone in the vegetation cover, which must be taken into account when decoding. Mapping is completed by performing automatic vectorization of raster layers and further generalization of vector polygons in accordance with selected map scale.

Changes in DNA Contents of Mantle, Hepatopancreas, Gonad and Foot Tissues of Freshwater Bivalve, Corbicula regularis From Girna Dam during Different Seasons in Year 2016-17 (Maharashtra) India

Changes in DNA Contents of Mantle, Hepatopancreas, Gonad and Foot Tissues of Freshwater Bivalve, Corbicula regularis From Girna Dam during Different Seasons in Year 2016-17 (Maharashtra) India

Diurnal patterns of N-nitrosodimethylamine and formaldehyde behaviors in different seasons in surface water influenced by effluent from sewage treatment plants

N-nitrosodimethylamine (NDMA) and formaldehyde (FAH) are probable carcinogenic disinfection by-products and have been found to occur in areas of the Yodo River basin that are influenced by treated wastewater. The diurnal patterns of them were examined with water samples collected over 4 years in different seasons at five outlets of four sewage treatment plants (STPs), seven main stream sites, and five tributary sites in the basin. Based on mass flux calculations, STPs were shown to be the main sources of the downstream for NDMA and FAH loads in the study area. Moreover, results revealed that photo degradable NDMA and non-photo degradable FAH showed different fates during the river transportation. For NDMA, in addition to direct photolysis, water temperature was identified as an important factor in NDMA attenuation in surface waters. NDMA attenuated significantly in the daytime and even during summer nights but persisted during winter nights, while attenuation of FAH was found to mainly be influenced by water temperature, and persisted during winter. Their behaviors were compared in an artificial river channel and whole study area, clearly demonstrating the importance of monitoring them in the water environment during periods of low UV intensity and water temperature, especially winter nights.

Production, Post-Harvest and Marketing of Kaffir Lime (Citrus hystrix DC) In Tulungagung, Indonesia

Kaffir lime (Citrus hystrix DC) is one of the Citrus species that is popular as food spices in Indonesia. This study was aimed at describing the production system, post-harvest handling, marketing and evaluating the product variation of kaffir lime cultivated in the Tulungagung district, East Java Province, Indonesia. Data was collected through a survey by interviewing kaffir lime farmers, distributors and customers in June 2018. Kaffir lime is cultivated by local farmers using traditional and conventional agriculture practices. The farmer used good quality seedlings as planting materials and applies animal manure or compost to the trees. Kaffir lime is grown on rain-fed land; fertilizers and pesticides are applied sparingly. The kaffir lime leaves could be harvested twice a year in different seasons. Better leaf quality can be obtained during the rainy seasons. The leaf production per tree is estimated at about 100 gram per plant per season. Post-harvest handling involved sorting, packing and marketing without any cooling treatment. The standard gate price of kaffir lime leaf in June 2019 was IDR 6,000-7,000, IDR 9,000-10,000 at the collector level, IDR 11,000-12,000 at wholesaler, and IDR 14,000-16,000 at small retailers. Leaves were distributed to traditional market in Tulungagung, neighbouring districts such as Kediri, Trenggalek and Blitar, and also to capital cities such Jakarta. The main product of kaffir lime is the fresh leaf for food seasoning and as a raw material to produce essential oil and dry leaf powder. The stems have been used for fuel in home industries. The fruits of kaffir lime are rarely found in the market and have great potentials for essential oil production and recently, a promising commodity for export.

Seroprevalence of Trypanosoma evansi Infection in Equines of North and North Western States of India

Trypanosomosis caused by Trypanosoma evansi, commonly known as “surra,” is a wasting disease affecting equids, camels, cattle, as well as several other domestic and wild animals. No systematic information is available on disease pattern in equines for development of control and treatment strategies in endemic areas in India. The present study was undertaken with a comprehensive plan to screen large population of equines using indirect enzyme-linked immunosorbent assay to obtain epidemiological information on “surra” in different agro-climatic zones of India. A total of 6455 serum samples were tested, of them 338 (5.24%) were found positive for T. evansi antibodies during the years 2011–2012 to 2014–2015. The highest prevalence (9.75%) was recorded from Gangetic plains of Uttarakhand and Uttar Pradesh, while western dry region (Rajasthan) recorded the lowest (2.85%) prevalence rate. This study showed serological evidence of T. evansi infection in equines at a low prevalence rate, but the highest prevalence rate during the study was witnessed during 2011–2012. The disease was found prevalent throughout the year in different seasons with sporadic outbreaks in equines. However, higher prevalence was observed in postmonsoon season (September to November) and the lowest during winter season (December to February). Furthermore, no significant difference in disease prevalence was observed sex and species wise.

Observed spatial-temporal changes in the autumn navigability of the Arctic Northeast Route from 2010 to 2017

Recently, the Arctic Northeast Route (ANR), an important shipping route connecting Asia and Europe, has become more and more navigable because of the accelerating melt of sea ice in the Arctic. The exploitation of the ANR could shorten the navigational distances from North Asia to Northwestern Europe by 40% (about 2500 nautical miles) and reduce one-third (about 10 days) of the time required for maritime transport by the Royal Road, which can help to save lots of transport costs and bring large environmental benefits. It’s very important and urgent to accurately understand the changes in the navigability of the ANR for the development of the route. However, due to the lack of high-quality observed dataset, there are very few observation-based studies. Some model-based studies cannot effectively reflect the real changes in the navigability of the ANR, due to the varying degrees of the data quality issues. In this study, we applied the daily sea ice concentration product provided by the NSIDC and the reconstructed daily SMOS sea ice thickness product into the Arctic Transportation Accessibility Model (ATAM) from the Arctic Ice Regime Shipping System (AIRSS) to assess and map the daily navigation risks for open water vessels in the ANR from 2010–2017 and further analyze the spatial and temporal changes of the Autumn navigability of the route during the eight years. Assuming the navigability of a specific ice regime is affected by the sea ice conditions and the ice-breaking ability of the vessels, the ATAM model can quantify the navigability of a specific ice regime for seven different vessel types. Since the SMOS ice thickness product is more reliable in thin ice area (lower than 0.5 m), we only focus on the navigability changes of the ANR for open water vessels in this study. We found that, although the end of shipping season for open water vessels across the ANR has extended to the day of 297±4 (October 24th) since 2010 (excluding 2013), there is no significant trend in the navigability of the ANR for open water vessels in the last 8 years. Further analysis of the spatial distribution map of the navigation risk for open water vessels at the end of shipping season in different years shows that the navigability of the ANR mainly affected by the ice regime around the Eastern Siberian Sea, the Novosibirsk Islands and the Severnaya Zemlya Islands. In most years, it’s the earlier frozen ice over the three regions leading to the end of the entire ANR, in the case that most other areas are still safely navigable. We also performed detailed analysis and found that there are significant differences in the navigability changes in the three key straits for open water vessels over the ANR. The Long strait shows great inter-annual variations in the navigability, but has limit impact on the navigability of the entire route because of its late ending of the shipping season. The Sannikov Strait shows the fastest decline, but small inter-annual variations in the navigability. It is also the earliest one that ending the shipping season, and therefore has a great impact on the long-term trend of the navigability of the ANR. The intra- and inter-annual changes in the navigability of the Vlikitsky Strait are very complex. It always fluctuates dramatically, and thus has great impact on the short-term navigability of the entire ANR. In view of the complexity of the change in the ANR navigability, observed high-quality, near real-time sea ice datasets are very important for the quantification of navigation risk in the ASR.

Comparative Analysis of Household Hazardous Waste in Different Seasons of Year(Case Study)

Comparative Analysis of Household Hazardous Waste in Different Seasons of Year(Case Study)

Deployment and Use of Mobile Technology to Control Malaria

Malaria is a significant public health problem and impediment to socio-economic development in the developing countries. According to World Health Organization (WHO) report, the number of malaria cases increased to 219 million in 2018, two million higher than the number that was reported in 2016. Information on the number of malaria cases is therefore very critical for the design and implementation of malaria control programmes. Malaria surveillance systems can provide important information on the trends in malaria, which varies widely across different seasons of year and socio-economic status. In this study malaria surveillance was conducted year-round in Rusinga Island, Western Kenya using rapid diagnostic test and individuals who tested positive were treated for malaria. The database system comprised of data on house structure and other risk factors relevant to predict malaria. Statistical analysis was conducted to establish the most significant malaria risk factors.

2008-2014年新疆艾比湖流域土壤水分时空分布特征

PDF HTML阅读 XML下载 导出引用 引用提醒 2008-2014年新疆艾比湖流域土壤水分时空分布特征 DOI: 10.5846/stxb201709021586 作者: 作者单位: 新疆大学 生态学科博士后科研流动站,新疆大学,新疆大学 资源与环境科学学院;新疆大学 资源与环境科学学院,新疆大学 资源与环境科学学院;新疆大学 资源与环境科学学院 作者简介: 通讯作者: 中图分类号: 基金项目: 自治区青年基金（2018D01C067） Temporal-spatial dynamic change characteristics of soil moisture in Ebinur Lake Basin from 2008-2014 Author: Affiliation: xinjiang university,xinjiang university,, Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:传统的土壤水分模拟研究难以从土壤水分变化的时空双向出发表达其连续演变的过程，存在时空尺度效应问题。借助SWAT模型模拟的长时间序列优势，结合高分辨率卫星影像和遥感技术，力图在时空尺度效应问题上取得突破。并利用长时间序列的模拟结果分析流域土壤水分的空间格局和不同维度时空异质性。结果表明：（1）2008-2014年间艾比湖流域土壤水分主要受气温、降水及人类活动影响，呈波动变化，总体偏低且具有逐年减小趋势。（2）受降水、地形及土地覆被影响，土壤水分分布呈现出由山区向两侧平原减少的特点，且林地 > 农用地 > 草地 > 稀疏植被。（3）近10年间土壤水分低值区由原来的北部山区及平原向东部、东南部平原区及南部山区迁移，东部减少最为明显。（4）流域四季土壤水分变化差异显著。其中，春季主要受融雪影响；夏季、秋季主要受降雨量和气温影响；冬季主要受固态降雪和气温影响；且不同年份、相同季节、相同子流域土壤水分变化趋势表现一致。 Abstract:It is difficult to express the true soil moisture temporal and spatial variation in traditional methods, because it always reflects a certain spatial resolution or discrete temporal pattern, which is not a continuous process. In this paper, we use SWAT (Soil and Water Assessment Tool)model and multi-source remote sensing data to solve the problems caused by the effects of spatial and temporal scales of soil moisture monitoring. Explore the scientific regional scale and long-time-series soil moisture simulation method, and use the simulation results analysis soil moisture in different time and space in study area. The results showed the following:(1) soil moisture over the entire region was continued decline from 2008-2014. The major factors affecting this trend are temperature, precipitation, and human activities. (2) The distribution of soil moisture is affected by precipitation, temperature, and land cover. The distribution of soil moisture is characterized by decreasing from the mountainous area to the plains, and in the following order:woodland > agricultural land > grassland > sparse vegetation. (3) In the past 10 years, the area with low soil moisture shifted from the northern mountainous plains to the eastern part, southeastern plains, and southern mountains, one of the most obvious change was eastern part. (4) The variation in soil moisture in the four seasons was significant. Soil moisture in spring and autumn were affected by rainfall and temperature, and that in winter was affected by the snow melt and temperature. The sub-basin soil moisture change were consistent in same season in different years. 参考文献 相似文献 引证文献

ОСОБЕННОСТИ СЕЗОННОГО РАСПРЕДЕЛЕНИЯ ВЗВЕСИ И ОРГАНИЧЕСКОГО УГЛЕРОДА ПО ДАННЫМ ОБСЕРВАТОРИИ «МАРГИНАЛЬНЫЙ ФИЛЬТР РЕКИ СЕВЕРНАЯ ДВИНА»

The results of the first three years of work in the frames of the project «Observatory –the Marginal Filter of Severnaya Dvina River» are presented. The main aim of this project is the regular investigations of sedimentological, geochemical and biological processes in the Severnaya Dvina River lower flow. The samples of surface water were taken every month during three years in two points in the Arkhangelsk city (Yacht-club) and in the port Economya. On the basis of collected by authors of the materials concentration of a suspended matter (SPM), the particulate organic carbon (POC) and the dissolved organic carbon (DOC) during different seasons of year. It is shown that the maximal concentration of a suspended matter on the period of a spring flood and reach 46 mg/l, and minimum are characteristic of the period of a winter low water – to 1,5 mg/l that corresponds to the maximal and minimum river drain. Average concentration of a suspended matter for the three-year period made 7,8 mg/l. Distribution of concentration of POC expressed in mg/l within a year repeats distribution of a suspended matter, and in three years averages 0,82 mg/l. The maintenance of POC expressed in % in three years averaged 8,5% the Seasonal maximum is noted during the spring and summer period when it reached 24,7%. The maintenance of DOC varies in the range of 5,2 – 29,2 mg/l, averaging 15,3 mg/l in three years that by 3 times exceeds mean global value – 5,75 mg/l.

Using eOceans diver data to describe contemporary patterns of marine animal populations: A case study of sharks in Thailand

Many marine animals around the world are threatened by a variety of anthropogenic activities, yet there is often a paucity of data to monitor patterns in abundance and distribution or to evaluate human interventions. The new citizen science program eOceans helps to fill this gap by gathering observations of various marine animals from worldwide ocean explorers. In 2012, a dedicated Thailand-wide census of sharks, and other animals, began as a collaboration between eOceans scientists and the dive tourism industry. Using the observations from 9524 dives (9357 h underwater) logged by 169 divers on 153 sites, we describe the spatial and temporal patterns of sharks in coastal Thailand. A total of 12 shark species were encountered, most commonly (67%) as individuals, and were observed on 11% of all dives, on 59% of sites, in all months and years. The two most frequently encountered species were blacktip reef (Carcharhinus melanopterus) and leopard sharks (Stegostoma fasciatum). Many species had peak encounter rates in summer, but aggregated in various seasons in different years. Mating events and nursery sites were rarely observed, and only for blacktip reef and whitetip reef (Triaenodon obesus) sharks. These results could be of value to species- or region-specific biologists, ecologists and fisheries scientists, as well as to managers and policy makers that could use the findings to monitor future trends and prioritize conservation strategies. Moreover, this study highlights the value that collaborative citizen science projects could have in support of marine science, management and conservation efforts worldwide.

Landsat-based vegetation abundance and surface temperature for surface urban heat island studies: the tale of Greater Amman Municipality

ABSTRACTThis study aimed at characterizing the spatial and temporal characteristics of vegetation abundance (represented by At-Sensor Normalized Difference Vegetation Index (ASNDVI) and/or Land Surface Normalized Difference Vegetation Index (LSNDVI)) and surface temperature (represented by At-Sensor Brightness Temperature (ASBT) and/or Land Surface Temperature (LST)) and investigating the types of the relationships between these variables in different seasons in different years using Landsat data in Greater Amman Municipality in Jordan. Correlation analysis using Pearson’s correlation coefficient showed that using either ASNDVI or LSNDVI and either ASBT or LST should lead to the same results. Change analysis from 1987–2016 using map algebra showed that the majority of the municipality was subjected to both no change and small increase in vegetation abundance in summer and winter and both no change and small increase in surface temperature in summer and both no change and small decrease in surface temperature in winter. Vegetation abundance variability reflected partly the land cover characteristics of the municipality while surface temperature variability indicated the potential of the presence of an inverted surface urban heat island pattern. Correlation analysis using contingency tables showed the presence of negative relationship in summer and positive relationship in winter between vegetation abundance and surface temperature.

Growth of escarole in different seasons of year, RS, Brazil

The lack of research about escarole cultivars adapted to each region, as well as technical information on plant growth have been some of the factors related to low yields. Therefore, the aim of this work was to evaluate the growth of escarole crop in four seasons of year in Santa Maria, RS. The experiment was conducted in a randomized complete block design, 1 x 4, being a escarole (cultivar Escorola Lisa®) evaluated in four seasons of year (summer, autumn, winter and spring), in six replications. The evaluations were performed in a destructive manner every seven days, from date of transplant to harvest point. The following components were analyzed: number of leaves, number of residues, dry mass of leaves, dry mass of leaves, stem and residue. Thus, it was determined the parameters for growth analysis. With the data obtained, we performed a variance analysis, and presented significant results, and the means of each season of the year submitted to the Tukey test at 5% of error probability. The air temperature and global radiation influence crop cycle. Lower temperatures and lower incidence of radiation result in cycle extended, as observed in autumn. The escarole growth is influenced by seasons of year in Rio Grande do Sul (RS), and summer and spring finish the cycle in advance to others, presenting a larger leaf area. Summer and spring are most indicated season to escarole crop in RS, Brazil.

Levels and distribution of cobalt and nickel in the aquatic macrophytes found in Skadar Lake, Montenegro.

Macrophytes react to changes in the quality of the environment in which they live (water/sediment), and they are good bioindicators of surface water conditions. In the present study, the content of the metals cobalt (Co) and nickel (Ni) was determined in the sediment, the water, and different organs of macrophytes from six localities around Lake Skadar, across four different seasons of year. The aquatic macrophytes that have been used as bioindicator species in this study are Phragmites australis (an emerged species), Ceratophyllum demersum (a submerged species), and Lemna minor (a floating species). The aim of this study was to determine the distribution of metals in macrophyte tissues and also to discover the degree of bioaccumulation of the investigated metals, depending both on the location and on the season. The content of Co and Ni in the examined parts of the macrophytes was in the range of 0.04-8.78 and 0.30-28.5ppm, respectively. The greatest content of the investigated metal in the organs of P. australis and C. demersum was recorded at the beginning of and during the growing season. Greater concentrations of metals in the tissue of L. minor were observed at the end of the growing season.

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

ABSTRACTLakes are important for ensuring the development of the regional economy and ecological security. Based on MODIS and Landsat TM/OLI remote sensing images captured in 2005-2015 and a Combined Water Index (CWI), this paper extracted information on changes in the temporal and spatial characteristics and driving forces for lake areas in Xinjiang during past 11 years in different seasons (April, July and September). The results showed that over this time period, the area of the lakes exhibited an increasing trend. The largest surface area usually occurred in April, and the lowest value was measured in September. The lake shrinkage area in Xinjiang occurred mainly in Northern Xinjiang and the northeastern region of Southern Xinjiang, whereas the lake expansion area was concentrated in Eastern Xinjiang. Seasonal changes in Manas, Kanas, Barkol, Arkatag, Arik and Ebinur Lakes showed higher trends. Extracted the lake area based on the MODIS and TM/OLI image were analyzed, and both had a good corresponding relationship. The minimum R2 was 0.548, and maximum RMSE was 44.1km2. Therefore, it was feasible to use MODIS to extract lake area. These changes in lake area resulted from both natural factors and human activities, and coupled effects greatly accelerated local environmental changes.

Environmental impact of exhaust emissions by Arctic shipping

Since 2005, a dramatic decline of the Arctic sea-ice extent is observed which results in an increase of shipping activities. Even though this provides commercial and social development opportunities, the resulting environmental impacts need to be investigated and monitored. In order to understand the impact of shipping in arctic areas, the method described in this paper determines the travel time, fuel consumption and resulting exhaust emissions of ships navigating in arctic waters. The investigated case studies are considering ship particulars as well as environmental conditions with special focus on ice scenarios. Travel time, fuel consumption and exhaust gas emission were investigated for three different vessels, using different passages of the Northern Sea Route (NSR) in different seasons of years 1960, 2000 and 2040. The presented results show the sensitivity of vessel performance and amount of exhaust emissions to optimize arctic traffic with respect to efficiency, safety and environmental impact.

COMPLEX POWER GENERATING NODE IN UNIFIED POWER SYSTEM

The state of development of solar and wind power plants in Ukraine and their impact on the unified power system are analysed. Feasibility of combination of solar and wind power plants in integrated power generating node to reduce the impact of weather conditions on the amount of generated energy is studied. There are is proposed mathematical models of the nodes power plants that take into account the change of meteorological factors and their influence on its generation graph. According to the simulation results obtained ratio of installed capacity of solar and wind power plants to the maximum load, that providing daily energy balance taking into account the climatic conditions of Ukraine in different seasons of year. For ensuring instant power balance in node it is offered to use energy accumulation, the algorithm of a storage control system functioning is developed. The expediency of using pumped storage power plant for energy accumulation in a power node is shown.

Aflatoxin M1 in processed milk: Occurrence and seasonal variation with an emphasis on risk assessment of human exposure in Serbia

The objectives of this study were to assess aflatoxin M1 (AFM1) contamination in processed milk and dairy products, and to estimate the mean daily exposure of the adult Serbian population to AFM1 due to milk consumption. A total of 1734 samples, comprising heat treated cow’s milk (n=1233), infant formulae (n=349), milk powder (n=94) and dairy drink (n=58), were analyzed for AFM1 presence using an Enzyme-Linked Immunosorbent Assay (ELISA) commercial kit. Samples were collected from different regions of Serbia during four seasons each year during 2015 and 2016. The incidences of AFM1 contamination were 77.8% with a mean level of 0.027±0.03 μg/L (range of <0.005-0.278 μg/L) in samples collected in 2015, and 98.4% with a mean level of 0.039±0.02 μg/L (range of <0.005-0.28 μg/L) in samples collected in 2016. The highest AFM1 levels were measured in October 2015 (0.278 μg/L) and September 2016 (0.279 μg/L). Based on EU regulation, 214 (17.3%) milk samples exceeded the maximum residue limit (0.05 μg/L). The estimated daily intake (EDI) of AFM1 during different seasons of year for males and females was in the range of 0.022-0.330 (mean 0.20) ng/kg/bw/day and 0.022-0.30 (mean 0.18) ng/kg/bw/day, respectively. The calculated EDI indicate a public health concern due to the carcinogenic effects of AFM1.