9 research outputs found

    Assessment of the EUMETSAT LSA-SAF evapotranspiration product for drought monitoring in Europe

    Get PDF
    tEvapotranspiration is a key parameter for water stress assessment as it is directly related to the moisturestatus of the soil-vegetation system and describes the moisture transfer from the surface to the atmo-sphere. With the launch of the Meteosat Second Generation geostationary satellites and the setup ofthe Satellite Application Facilities, it became possible to operationally produce evapotranspiration datawith high spatial and temporal evolution over the entire continents of Europe and Africa. In the frameof this study we present an evaluation of the potential of the evapotranspiration (ET) product from theEUMETSAT Satellite Application Facility on Land Surface Analysis (LSA-SAF) for drought assessment andmonitoring in Europe.To assess the potential of this product, the LSA-SAF ET was used as input for the ratio of ET to referenceevapotranspiration (ET0), the latter estimated from the ECMWF interim reanalysis. In the analysis twocase studies were considered corresponding to the drought episodes of spring/summer 2007 and 2011.For these case studies, the ratio ET/ET0was compared with meteorological drought indices (SPI, SPEI andSc-PDSI for 2007 and SPI for 2011) as well as with the anomalies of the fraction of absorbed photosyn-thetic active radiation (fAPAR) derived from remote sensing data. The meteorological and remote sensingindicators were taken from the European Drought Observatory (EDO) and the CARPATCLIM climatologicalatlas.Results show the potential of ET/ET0to characterize soil moisture variability, and to give additionalinformation to fAPAR and to precipitation distribution for drought assessment. The main limitations ofthe proposed ratio for drought characterization are discussed, including options to overcome them. Theseoptions include the use of filters to discriminate areas with a low percentage vegetation cover or areasthat are not in their growing period and the use of evapotranspiration without water restriction (ETwwr),obtained as output of the LSA-SAF model instead of ET0. The ET/ETwwrratio was tested by comparingits accumulated values per growing period with the winter wheat yield values per country published byEurostat. The results point to the potential of using the remote sensing based LSA-SAF evapotranspirationand the ET/ETwwrratio for vegetation monitoring at large scale, especially in areas where data is generallylackin

    Assessment of the EUMETSAT LSA-SAF evapotranspiration product for drought monitoring in Europe

    No full text
    Evapotranspiration is a key parameter for water stress assessment as it is directly related to the moisture status of the soil-vegetation system and describes the moisture transfer from the surface to the atmosphere. With the launch of the Meteosat Second Generation geostationary satellites and the setup of the Satellite Application Facilities, it became possible to operationally produce evapotranspiration data with high spatial and temporal evolution over the entire continents of Europe and Africa. In the frame of this study we present an evaluation of the potential of the evapotranspiration (ET) product from the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA-SAF) for drought assessment and monitoring in Europe. To assess the potential of this product, the LSA-SAF ET was used as input for the ratio of ET to reference evapotranspiration (ET0), the latter estimated from the ECMWF interim reanalysis. In the analysis two case studies were considered corresponding to the drought episodes of spring/summer 2007 and 2011. For these case studies, the ratio ET/ET0 was compared with meteorological drought indices (SPI, SPEI and Sc-PDSI for 2007 and SPI for 2011) as well as with the anomalies of the fraction of absorbed photosynthetic active radiation (fAPAR) derived from remote sensing data. The meteorological and remote sensing indicators were taken from the European Drought Observatory (EDO) and the CARPATCLIM climatological atlas. Results show the potential of ET/ET0 to characterize soil moisture variability, and to give additional information to fAPAR and to precipitation distribution for drought assessment. The main limitations of the proposed ratio for drought characterization are discussed, including options to overcome them. These options include the use of filters to discriminate areas with a low percentage vegetation cover or areas that are not in their growing period and the use of evapotranspiration without water restriction (ETwwr), obtained as output of the LSA-SAF model instead of ET0. The ET/ ETwwr ratio was tested by comparing its accumulated values per growing period with the winter wheat yield values per country published by Eurostat. The results point to the potential of using the remote sensing based LSA-SAF evapotranspiration and the ET/ ETwwr ratio for vegetation monitoring at large scale, especially in areas where data is generally lacking.JRC.H.7-Climate Risk Managemen

    Hydrological cycle during droughts: large-scale analyses for process understanding and modelling

    Get PDF
    Droughts strongly affect the environment and human activities with long-term and far-reaching impacts that will increase in the next decades under global changes. Thus, we need an in-depth understanding of drought processes and their robust modelling to cope with drought risk. For hydrologists, recurring challenges include predicting the impacts of precipitation (P) deficits in the form of soil moisture, streamflow (Q), or groundwater deficits. Water stored in catchments and evapotranspiration (ET) regulate drought evolution, that is the propagation of P deficits through the hydrological cycle and the subsequent recovery. Yet, analyses explicitly considering the joint contribution of storage and ET to drought evolution across different hydroclimatic regimes are rare. Furthermore, many hydrological models poorly simulate Q during droughts, but previous studies have rarely assessed model performances during droughts in multi-variable and spatially-distributed evaluations. This PhD thesis aimed to answer two main research questions: (i) do storage changes and ET affect drought evolution across climates and landscapes?; (ii) does a distributed hydrological model properly represent Q, ET, and storage during droughts? I performed a large-sample data-based analysis of Q, ET, and changes in the subsurface storage (in soil and groundwater) over the period 2010-2019 for 102 Italian catchments to answer the first question. To address the second question, I evaluated Q, ET, and storage simulations from the process-based distributed hydrological model Continuum over the Po river basin (northern Italy) during recent droughts, including the severe 2022 event. From the large-sample data-based analysis, I found that annual subsurface storage changes represented on average 11% of annual P across the study catchments, and mostly buffered Q deficits during drought years and their recovery. ET, instead, both buffered and aggravated Q deficits, and it had a decoupled response to P. These results revealed the prominent role of subsurface storage in driving the evolution of annual droughts. From model evaluation, I showed worse model performances in simulating Q for severe than for moderate droughts (mean KGE across the 38 study sub-catchments = 0.55Β±0.25 during moderate droughts and 0.18Β±0.69 in 2022) and I linked them to a degraded simulation of ET, rather than storage, especially in the human-affected croplands (mean r = -0.03 and nRMSE = 1.8 across the croplands in 2022). By calibrating the model during a moderate drought, I showed similar model performances during the severe event (mean KGE = 0.18Β±0.63), which further point to specific human-water processes during this event. Therefore, I delineated possible ways forward for model improvement during severe droughts, such as an enhanced consideration of human interference, especially in ET. The findings of the thesis provided a consistent picture of the different role ET and storage have in drought evolution and in our modelling capabilities, coherently with recent literature, also on multi-year droughts. Moreover, these results emphasized the need for a holistic approach across the hydrological cycle for process understanding and model evaluation during droughts, with the ultimate goal of improving drought modelling for water resources management, disaster risk reduction, and climate change impact assessments

    Meteorological Droughts in Europe: Events and Impacts - Past Trends and Future Projections

    Get PDF
    Observational records from 1950 onwards and climate projections for the 21st century provide evidence that droughts are a recurrent climate feature in large parts of Europe, especially in the Mediterranean, but also in western, south-eastern and central Europe. Trends over the past 60 years show an increasing frequency, duration and intensity of droughts in these regions, while a negative trend has been observed in north-eastern Europe. With a changing climate, this tendency is likely to be reinforced during the 21st century, affecting a wide range of socioeconomic sectors. The report provides a detailed description of the characteristics of drought events (i.e. their frequency, duration, intensity, severity) across Europe, and their evolution over the period 1950 to 2012, as well as projections until the end of the 21st century. A pan-European database of meteorological drought events for the period 1950-2012 and of their related sectorial impacts was built and a framework developed that links drought severity to expected damages under present and future climate.Fil: Spinoni, Jonathan. European Commission Joint Research Centre; ItaliaFil: Naumann, Gustavo. European Commission Joint Research Centre; Italia. Consejo Nacional de Investigaciones CientΓ­ficas y TΓ©cnicas; ArgentinaFil: Vogt, JΓΌrgen. European Commission Joint Research Centre; ItaliaFil: Barbosa, Paulo. European Commission Joint Research Centre; Itali

    Chapter 5: Food Security

    Get PDF
    The current food system (production, transport, processing, packaging, storage, retail, consumption, loss and waste) feeds the great majority of world population and supports the livelihoods of over 1 billion people. Since 1961, food supply per capita has increased more than 30%, accompanied by greater use of nitrogen fertilisers (increase of about 800%) and water resources for irrigation (increase of more than 100%). However, an estimated 821 million people are currently undernourished, 151 million children under five are stunted, 613 million women and girls aged 15 to 49 suffer from iron deficiency, and 2 billion adults are overweight or obese. The food system is under pressure from non-climate stressors (e.g., population and income growth, demand for animal-sourced products), and from climate change. These climate and non-climate stresses are impacting the four pillars of food security (availability, access, utilisation, and stability)

    The use of inulin-collagen suspension for the replacement of pork back fat in production of cooked-emulsified sausages

    No full text
    Π£ овој ΡΡ‚ΡƒΠ΄ΠΈΡ˜ΠΈ испитивана јС могућност ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Π΅ ΡΡƒΡΠΏΠ΅Π½Π·ΠΈΡ˜Π΅ ΠΈΠ½ΡƒΠ»ΠΈΠ½Π° ΠΈ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΊΠ°ΠΎ Π·Π°ΠΌΠ΅Π½Π° Π·Π° масно Ρ‚ΠΊΠΈΠ²ΠΎ Ρƒ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΡšΠΈ Ρ„ΠΈΠ½ΠΎ ΡƒΡΠΈΡ‚ΡšΠ΅Π½ΠΈΡ… Π±Π°Ρ€Π΅Π½ΠΈΡ… кобасица. ΠŸΡ€ΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΎ јС Ρ‡Π΅Ρ‚ΠΈΡ€ΠΈ Π³Ρ€ΡƒΠΏΠ΅ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π°, ΠΎΠ΄ ΠΊΠΎΡ˜ΠΈΡ… јС ΠΏΡ€Π²Π° Π±ΠΈΠ»Π° кобасица ΡƒΠΎΠ±ΠΈΡ‡Π°Ρ˜Π΅Π½ΠΎΠ³ састава (ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π° Π³Ρ€ΡƒΠΏΠ° са 25% масног Ρ‚ΠΊΠΈΠ²Π°), Π΄Ρ€ΡƒΠ³Π° ΠΈ Ρ‚Ρ€Π΅Ρ›Π° (А ΠΈ Π‘) Π³Ρ€ΡƒΠΏΠ° су ΠΈΠ·Ρ€Π°Ρ’Π΅Π½Π΅ са смањСним ΡƒΠ΄Π΅Π»ΠΎΠΌ масног Ρ‚ΠΊΠΈΠ²Π° (15% ΠΈ7,5%, ΠΏΠΎΡ˜Π΅Π΄ΠΈΠ½Π°Ρ‡Π½ΠΎ), Π΄ΠΎΠΊ јС Ρ‡Π΅Ρ‚Π²Ρ€Ρ‚Π° Π³Ρ€ΡƒΠΏΠ° (Π¦) ΠΈΠ·Ρ€Π°Ρ’Π΅Π½Π° Π±Π΅Π· Π΄ΠΎΠ΄Π°Ρ‚ΠΊΠ° масног Ρ‚ΠΊΠΈΠ²Π°. Као Π·Π°ΠΌΠ΅Π½Π° Π·Π° масно Ρ‚ΠΊΠΈΠ²ΠΎ Ρƒ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠΌΠ° А, Π‘ ΠΈ Π¦ ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Ρ™Π΅Π½ΠΈ су 4% ΠΈΠ½ΡƒΠ»ΠΈΠ½Π° (ΠΊΠΎΠ΄ свих) ΠΈ 0,7%, 1,2% ΠΈ 1,65% ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΏΠΎΡ˜Π΅Π΄ΠΈΠ½Π°Ρ‡Π½ΠΎ, ΡƒΠ· ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΎΠ½Π°Π»Π½ΠΎ ΠΏΠΎΠ²Π΅Ρ›Π°ΡšΠ΅ ΡƒΠ΄Π΅Π»Π° Π²ΠΎΠ΄Π΅ (Π»Π΅Π΄Π°) Ρƒ Π½Π°Π΄Π΅Π²Ρƒ. Π Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ΠΈ ΠΈΡΡ‚Ρ€Π°ΠΆΠΈΠ²Π°ΡšΠ° су ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π° јС ΠΌΠΎΠ³ΡƒΡ›Π° ΠΏΠΎΡ‚ΠΏΡƒΠ½Π° Π·Π°ΠΌΠ΅Π½Π° масног Ρ‚ΠΊΠΈΠ²Π° Π½Π°Π²Π΅Π΄Π΅Π½ΠΈΠΌ ΡΠ°ΡΡ‚ΠΎΡ˜Ρ†ΠΈΠΌΠ°, Ρ‡ΠΈΠΌΠ΅ сС добија ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ (Π¦), који садрТи Ρƒ просСку 0,85% масти, ΠΈΠΌΠ° мањи ΡƒΠ΄Π΅ΠΎ холСстСрола (46,23 mg/100 g) ΠΈ Π²Π΅Ρ›ΠΈ ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜ слоТСних ΡƒΠ³Π΅Ρ™Π½ΠΈΡ… Ρ…ΠΈΠ΄Ρ€Π°Ρ‚Π° – ΠΏΡ€Π΅Π±ΠΈΠΎΡ‚ΠΈΠΊΠ° (7,46%) Π½Π΅Π³ΠΎ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π° (25,48%, 55,87 mg/100 g, 0,91%, ΠΏΠΎΡ˜Π΅Π΄ΠΈΠ½Π°Ρ‡Π½ΠΎ). Π£ односу Π½Π° ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Ρƒ Π³Ρ€ΡƒΠΏΡƒ, ΠΊΠΎΠ΄ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈΠ· Π³Ρ€ΡƒΠΏΠ΅ Π¦ остварСна јС Ρ€Π΅Π΄ΡƒΠΊΡ†ΠΈΡ˜Π° ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜Π° масти ΠΎΠ΄ 97%. Π‘Π°Π΄Ρ€ΠΆΠ°Ρ˜ ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½Π° мСса јС Π±ΠΈΠΎ ΡƒΡ˜Π΅Π΄Π½Π°Ρ‡Π΅Π½ ΠΊΠΎΠ΄ свих СкспСримСнталних Π³Ρ€ΡƒΠΏΠ° ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈ износио ΠΎΠ΄ 11,75% ΠΊΠΎΠ΄ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ Π³Ρ€ΡƒΠΏΠ΅, Π΄ΠΎ 12,34% ΠΊΠΎΠ΄ Π³Ρ€ΡƒΠΏΠ΅ Π‘. Π£Π΄Π΅ΠΎ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° Ρƒ ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ΠΈΠΌΠ° мСса Π±ΠΈΠΎ јС Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ Π²Π΅Ρ›ΠΈ ΠΊΠΎΠ΄ ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠΎ Π²Π°Π½ΠΈΡ… ΠΊΠΎ Π± Π° сица (ΠΎΠ΄ 6,24% ΠΊΠΎΠ΄ А Π³Ρ€ΡƒΠΏΠ΅ Π΄ΠΎ 10,26% ΠΊΠΎΠ΄ Π¦ Π³Ρ€ΡƒΠΏΠ΅) Π½Π΅Π³ΠΎ ΠΊΠΎΠ΄ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ Π³Ρ€ΡƒΠΏΠ΅ (3,68%) 3,68%), Π°Π»ΠΈ јС ΠΊΠΎΠ΄ свих СкспСримСнталних ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° Π±ΠΈΠΎ Ρƒ ΠΎΠΊΠ²ΠΈΡ€Ρƒ Π΄ΠΎΠ·Π²ΠΎΡ™Π΅Π½ΠΈΡ… Π³Ρ€Π°Π½ΠΈΡ†Π° Π΄Π΅Ρ„ΠΈΠ½ ΠΈ саних прописима Π—Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ Π²Π΅Ρ›ΠΈ ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜ Π²ΠΎΠ΄Π΅ ΡƒΡ‚Π²Ρ€Ρ’Π΅Π½ јС ΠΊΠΎΠ΄ свих ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠΎΠ²Π°Π½ΠΈΡ… ΠΊΠΎΠ± асица ( Π³Ρ€ΡƒΠΏΠ° А 64,89%, Π³Ρ€ΡƒΠΏΠ° Π‘ 71,53% ΠΈ Π³Ρ€ΡƒΠΏΠ° Π¦ 77,34%) Π½Π΅Π³ΠΎ ΠΊΠΎΠ΄ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ Π³Ρ€ΡƒΠΏΠ΅ (60 69%), ΠΌΠ΅Ρ’ΡƒΡ‚ΠΈΠΌ Ρ‚ΠΎ нијС ΡƒΡ‚ΠΈΡ†Π°Π»ΠΎ Π½Π° активност Π²ΠΎΠ΄Π΅ Π½ΠΈ Π½Π° рН врСдност, који су ΠΊΠΎΠ΄ свих Π³Ρ€ΡƒΠΏΠ° ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° Π±ΠΈΠ»Π° ΡƒΡ˜Π΅Π΄Π½Π°Ρ‡Π΅Π½ΠΈ Π£ ΠΏΠΎΠ³Π»Π΅Π΄Ρƒ ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜Π° масних кисСлина Ρƒ Π»ΠΈΠΏΠΈΠ΄Π½ΠΎΠΌ Скстрак Ρ‚Ρƒ (Ρ€Π΅Π»Π°Ρ‚ΠΈΠ²Π°Π½ ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜ масних кисСлина), кобасицС ΠΈΠ· Π³Ρ€ΡƒΠΏΠ΅ Π¦ ΠΈΠΌΠ°Π»Π΅ су Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ Π½ΠΈΠΆΠΈ Ρ€Π΅Π»Π°Ρ‚ΠΈΠ²Π½ΠΈ ΡƒΠ΄Π΅ΠΎ n 3 масних кисСлина ΠΈ полинСзасићСних масних кисСлина, Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ Π²Π΅Ρ›ΠΈ ΡƒΠ΄Π΅ΠΎ мононСзасићСних ΠΊΠ°ΠΎ ΠΈ ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ°Π½ ΡƒΠ΄Π΅ΠΎ засићСних масних кисСлина ΠΈ n 6/ n 3 однос Ρƒ ΠΏΠΎΡ€ Π΅Ρ’Π΅ΡšΡƒ са ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½ΠΈΠΌ кобасицама, ΠΈ кобасицама ΠΈΠ· Π³Ρ€ΡƒΠΏΠ° А ΠΈ Π‘. ΠœΠ΅Ρ’ΡƒΡ‚ΠΈΠΌ, Ρƒ ΠΏΠΎΠ³Π»Π΅Π΄Ρƒ ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜Π° масних кисСлина Ρƒ Ρ†Π΅Π»ΠΎΠΌ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Ρƒ (апсолутни ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜ масних кисСлина), ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ кобасицС су садрТалС Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ Π²Π΅Ρ›Ρƒ ΠΊΠΎΠ»ΠΈΡ‡ΠΈΠ½Ρƒ засићСних (8,95 %) ΠΈ n 6 масних кисСлина (4 ,16 %) ΠΎΠ΄ ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠΎΠ²Π°Π½ΠΈΡ… кобасица којС су садрТалС засићСнС ΠΌΠ° снС кисСлинС Ρƒ ΠΊΠΎΠ»ΠΈΡ‡ΠΈΠ½ΠΈ ΠΎΠ΄ 0,31% (Π³Ρ€ΡƒΠΏΠ° Π¦) Π΄ΠΎ 4,29 % (Π³Ρ€ΡƒΠΏΠ° А), односно n 6 масних кисСл ΠΈΠ½Π° ΠΎΠ΄ 0,07% (Π³Ρ€ΡƒΠΏΠ° Π¦) Π΄ΠΎ 1,39 % (Π³Ρ€ΡƒΠΏΠ° А), Π½Π° основу Ρ‡Π΅Π³Π° су ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠΎΠ²Π°Π½Π΅ коабсицС Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ ΠΏΠΎΠ²ΠΎΡ™Π½ΠΈΡ˜Π΅ са Π½ΡƒΡ‚Ρ€ ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ аспСкта. Код свих СкспСримСнталних Π³Ρ€ΡƒΠΏΠ° ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΡƒΡ‚Π²Ρ€Ρ’Π΅Π½ јС Π½ΠΈΠ·Π°ΠΊ стСпСн Ρ…ΠΈΠ΄Ρ€ΠΎΠ»ΠΈΡ‚ΠΈΡ‡ΠΊΠΈΡ… ΠΈ оксида Ρ‚ΠΈΠ²Π½ΠΈΡ… ΠΏΡ€ΠΎΠΌΠ΅Π½Π° Π½Π° мастима. ΠœΠΈΠΊΡ€ΠΎΠ±ΠΈΠΎΠ»ΠΎΡˆΠΊΠ° ΠΈΡΠΏΠΈΡ‚ΠΈΠ²Π°ΡšΠ° су ΠΏΠΎΠΊΠ°Π·Π°Π»Π° Π΄Π° Π½ΠΈ Ρƒ јСдном испитиваном ΡƒΠ·ΠΎΡ€ΠΊΡƒ нијС ΡƒΡ‚Π²Ρ€Ρ’Π΅Π½ΠΎ присуство салмонСла ΠΈ Π»ΠΈΡ‚ΡΡ‚Π΅Ρ€ΠΈΡ˜Π°, Π° Π±Ρ€ΠΎ ј Π΅Π½Ρ‚Π΅Ρ€ΠΎΠΊΠΎΠΊΠ° ΠΈ ΡΡƒΠ»Ρ„ΠΈΡ‚ΠΎΡ€Π΅Π΄ΡƒΠΊΡƒΡ˜ΡƒΡ›ΠΈΡ… ΠΊΠ»ΠΎΡΡ‚Ρ€ΠΈΠ΄ΠΈΡ˜Π° јС Π±ΠΈΠΎ испод Π»ΠΈΠΌΠΈΡ‚Π° Π΄Π΅Ρ‚Π΅ΠΊΡ†ΠΈΡ˜Π΅. Π‘Π°ΠΊΡ‚Π΅Ρ€ΠΈΡ˜Π΅ ΠΌΠ»Π΅Ρ‡Π½Π΅ кисСлин Π΅ су Π΄Π΅Ρ‚Π΅ΠΊΡ‚ΠΎΠ²Π°Π½Π΅ Π½Π° ΠΊΡ€Π°Ρ˜Ρƒ ΡΠΊΠ»Π°Π΄ΠΈΡˆΡ‚Π΅ΡšΠ° само ΠΊΠΎΠ΄ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ Π³Ρ€ΡƒΠΏΠ΅ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π°, Π° њи Ρ…ΠΎΠ² Π±Ρ€ΠΎΡ˜ јС Π±ΠΈΠΎ Ρƒ ΠΎΠΊΠ²ΠΈΡ€Ρƒ Π΄ΠΎΠ·Π²ΠΎΡ™Π΅Π½ΠΈΡ… Π³Ρ€Π°Π½ΠΈΡ†Π°. Π£ ΠΏΠΎΠ³Π»Π΅Π΄Ρƒ инструмСнталних ΠΏΠ°Ρ€Π°ΠΌΠ΅ Ρ‚Π°Ρ€Π° бојС, кобасицС ΠΈΠ· Π³Ρ€ΡƒΠΏΠ΅ Π¦ Π±ΠΈΠ»Π΅ су Π½Π°Ρ˜Ρ‚Π°ΠΌΠ½ΠΈΡ˜Π΅ ΠΈ са најмањим ΡƒΠ΄Π΅Π»ΠΎΠΌ Ρ†Ρ€Π²Π΅Π½Π΅ бојС. ΠΠ°Ρ˜ΡΠ²Π΅Ρ‚Π»ΠΈΡ˜Π΅ су Π±ΠΈΠ»Π΅ кобасицС ΠΈΠ· Π³Ρ€ΡƒΠΏΠ΅ А, Π° Π½Π°Ρ˜ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΠ²Π½ΠΈΡ˜ΠΈ ΡƒΠ΄Π΅ΠΎ Ρ†Ρ€Π²Π΅Π½Π΅ бојС ΠΈΠΌΠ°Π»Π΅ су ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ кобасицС. Π£Π΄Π΅ΠΎ ΠΆΡƒΡ‚Π΅ бојС Π±ΠΈΠΎ јС ΡƒΡ˜Π΅Π΄Π½Π°Ρ‡Π΅Π½ ΠΊΠΎΠ΄ свих СкспСримСнталних Π³Ρ€ΡƒΠΏΠ°. Ин струмСнталним ΠΈΡΠΏΠΈΡ‚ΠΈΠ²Π°ΡšΠ΅ΠΌ тСкстурС ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° нису ΡƒΡ‚Π²Ρ€Ρ’Π΅Π½Π΅ Π·Π½Π°Ρ‡Π°Ρ˜Π½Π΅ Ρ€Π°Π·Π»ΠΈΠΊΠ΅ Ρƒ чврстоћи, адхСзивности, Сластичности ΠΈ Твакљивости ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈΠ· ΠΌ Π΅Ρ’Ρƒ СкспСримСнтланих Π³Ρ€ΡƒΠΏΠ°. ΠšΠΎΡ…Π΅Π·ΠΈΠ²Π½ΠΎΡΡ‚ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ Π³Ρ€ΡƒΠΏΠ΅ ΠΈ кобасица ΠΈΠ· Π³Ρ€ΡƒΠΏΠ΅ Π¦ Π±ΠΈΠ»Π° јС ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ½Π° ΠΈ Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ мања Π½Π΅ Π³ΠΎ ΠΊΠΎΠ΄ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈΠ· Π³Ρ€ Ρƒ ΠΏΠ΅ А ΠΈ Π‘. Π£ΠΊΡƒΠΏΠ½Π° сСнзорна ΠΎΡ†Π΅Π½Π° Π±ΠΈΠ»Π° јС Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ Π²Π΅Ρ›Π° ΠΊΠΎΠ΄ кобасица ΠΈΠ· Π³Ρ€ΡƒΠΏΠ° Π‘ (4,21) ΠΈ Π¦ (4,02) Ρƒ ΠΏΠΎΡ€Π΅Ρ’Π΅ΡšΡƒ са ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠΌΠ° ΠΈΠ· ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ Π³Ρ€ΡƒΠΏΠ΅ (3,23) ΠΈ Π³Ρ€ΡƒΠΏΠ΅ А (3,58) Π½Π° ΠΏΠΎΡ‡Π΅Ρ‚ΠΊΡƒ, ΠΊΠ°ΠΎ ΠΈ Π½Π° ΠΊΡ€Π°Ρ˜Ρƒ ΡΠΊΠ»Π°Π΄ΠΈΡˆΡ‚Π΅ΡšΠ°.ΠΊΡ€Π°Ρ˜Ρƒ ΡΠΊΠ»Π°Π΄ΠΈΡˆΡ‚Π΅ΡšΠ°. Π£ ΠΏΠΎΡ€Π΅Ρ’Π΅ΡšΡƒ са ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠΎΠ²Π°Π½ΠΈΠΌ кобасицама, ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π½Π΅ кобасицС су Π±ΠΈΠ»Π΅ Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ слабијС ΠΎΡ†Π΅ΡšΠ΅Π½Π΅ Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ слабијС ΠΎΡ†Π΅ΡšΠ΅Π½Π΅ Ρƒ ΠΏΠΎΠ³Π»Π΅Π΄Ρƒ Ρƒ ΠΏΠΎΠ³Π»Π΅Π΄Ρƒ мириса ΠΈ укусамириса ΠΈ укуса. . Π Π΅Π·ΡƒΡ‚Π°Ρ‚ΠΈ ΠΈΡΠΏΠΈΡ‚ΠΈΠ²Π°ΡšΠ° су ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π° Π Π΅Π·ΡƒΡ‚Π°Ρ‚ΠΈ ΠΈΡΠΏΠΈΡ‚ΠΈΠ²Π°ΡšΠ° су ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π° ΡΡƒΡΠΏΠ΅Π½Π·ΠΈΡ˜Π° ΠΈΠ½ΡƒΠ»ΠΈΠ½Π° ΠΈ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΌΠΎΠΆΠ΅ Ρƒ потпуности Π΄Π° Π·Π°ΠΌΠ΅Π½ΠΈ масно Ρ‚ΠΊΠΈΠ²ΠΎ Ρƒ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΡšΠΈ Ρ„ΠΈΠ½ΠΎ ΡΡƒΡΠΏΠ΅Π½Π·ΠΈΡ˜Π° ΠΈΠ½ΡƒΠ»ΠΈΠ½Π° ΠΈ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΌΠΎΠΆΠ΅ Ρƒ потпуности Π΄Π° Π·Π°ΠΌΠ΅Π½ΠΈ масно Ρ‚ΠΊΠΈΠ²ΠΎ Ρƒ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΡšΠΈ Ρ„ΠΈΠ½ΠΎ ΡƒΡΠΈΡ‚ΡšΠ΅Π½ΠΈΡ… Π±Π°Ρ€Π΅Π½ΠΈΡ… кобасица, ΠΏΡ€ΠΈ Ρ‡Π΅ΠΌΡƒ сС Π΄ΠΎΠ±ΡƒΡΠΈΡ‚ΡšΠ΅Π½ΠΈΡ… Π±Π°Ρ€Π΅Π½ΠΈΡ… кобасица, ΠΏΡ€ΠΈ Ρ‡Π΅ΠΌΡƒ сС Π΄ΠΎΠ±ΠΈΡ˜Π°Ρ˜Ρƒ Π±Π΅Π·Π±Π΅Π΄Π½ΠΈ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈ високог ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚Π° ΠΈ ΠΈΡ˜Π°Ρ˜Ρƒ Π±Π΅Π·Π±Π΅Π΄Π½ΠΈ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈ високог ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚Π° ΠΈ Π΄ΠΎΠ±Ρ€Π΅ одрТивости.Π΄ΠΎΠ±Ρ€Π΅ одрТивости.This study investigates the possibilities of use of inuline-collagen suspension for the total replacementpork backfat in production of cooked-emulsified sausages. Four product types were manufactured; sausage of standard composition (control group with 25% of pork backfat), the second and third groups (А and B) were produced with lower share of pork backfat(15% and 7,5%, respectively), while fourth group (C) did not contain added pork backfat. To each experimental group (A, B and C) 4% of inuline was added together with various amounts of collagen (0,7%, 1,2% and 1,65% respectively), as a replacement for pork backfat, together with proportional increase of added water in the stuffing. The results obtained in the study demonstrated the possibility of complete substitution of pork backfat with used ingredients resulting in a product (group C) with 0.85% of average fat content, decreased cholesterol content (46,23 mg/100 g) and increased content of complex carbohydrates – prebiotics (7,46%) compared to the control group (25,48%, 55,87 mg/100 g, 0,91%, respectively). Compared to the control group, the products from group C achieved a 97% reduction in fat content. Protein content was leveled in all experimental groups amounting from 11,75% (control group) to 12,34% (group B). Share of collagen in meat proteins was significantly higher in modified sausages (from 6,24 % group A, to 10,26% group C ) compared to control group (3,68 %)%), however, collagen content did not exceed regulatory limit in neither of the investigated groups.Signif icantly higher water content was established in all modified sausages group A 64,89%, group B 71,53 % and group C 77,34%) compared to control group (60.69%), however, this had no influence on water activity or pH which were leveled in all sausage groups . R egarding the content of fatty acids in the lipid extract (r elative content of fatty acids) acids), sausages from group C showed significantly lower relative share of n 3 fatty acids and polyunsaturated fatty acids significantly higher share of monounsaturated fat ty acids and approximate share of saturated fatty acids and n 6/ n 3 ratio compared to control group and sausages from groups A and B . However, regarding the fatty acid content ΠΈΠ½ the whole product (absolute fatty acid content), the control sausages contained a significantly higher amount of saturated (8.95 %) and n 6 fatty acids (4.16 %) than the modified sausages that contained saturated fatty acids in the amount of 0.31% (group C) to 4.29% (group A), i.e. n 6 fatty acids from 0.07% (group C) to 1.39% (group A), based on of which modified sausages were significantly more favorable from a nutritional point of view. A low degree of hydrolytic and oxidative changes in fats was found in all experimental groups of products. Microbiological examination showed absen ce of Salmonella spp . and Listeriaspp. in all tested samples while Enterococcus and sulfite reducing Clostridiaecound was below limit of detection. Lactic acid bacteria were found at the end of the storage period only in control group; the count was within permitted levels . Instrumental determinartion of color showed that sausages from group C were the darkest and with lowest share of red. Sausages from group A were of the lightest color, while the most intensive red was observed in sausages from the control group. Yellow share was equal in all experimental groups. Instrumental texture investigation did not reveal significant differences in firmness, adhesiveness, elasticity and chewability between investigated groups. Cohesion recorded in control group and g roup C was approximate between these groups and significantly lower compared to sausages from groups A and B. Sensoric score was significantly higher in groups B (4,21) and C (4,02) compared with sausages from the control group (3,23) and group А (3,58), b oth at the beginning and at the end of the storage period . Control group was graded significantly lower in respect to odor and taste compared to modified sausages. The research results showed that the suspension of inulin and collagen can completely repla ce the fatty tissue in the production of fatty tissue in the production of cookedcooked--emulsifiedemulsified sausages, whereby safe products of high quality sausages, whereby safe products of high quality and good sustainability are obtained.and good sustainability are obtained

    The estimation and evaluation of a satellite-based drought index using rainfall and evapotranspiration.

    Get PDF
    Master of Science in Hydrology. University of KwaZulu-Natal. Pietermaritzburg, 2017.Abstract available in PDF file
    corecore