9 research outputs found
Assessment of the EUMETSAT LSA-SAF evapotranspiration product for drought monitoring in Europe
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
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
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
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
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
Π£ ΠΎΠ²ΠΎΡ ΡΡΡΠ΄ΠΈΡΠΈ ΠΈΡΠΏΠΈΡΠΈΠ²Π°Π½Π° ΡΠ΅ ΠΌΠΎΠ³ΡΡΠ½ΠΎΡΡ ΡΠΏΠΎΡΡΠ΅Π±Π΅ ΡΡΡΠΏΠ΅Π½Π·ΠΈΡΠ΅ ΠΈΠ½ΡΠ»ΠΈΠ½Π° ΠΈ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΊΠ°ΠΎ Π·Π°ΠΌΠ΅Π½Π° Π·Π° ΠΌΠ°ΡΠ½ΠΎ ΡΠΊΠΈΠ²ΠΎ Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΠΈ ΡΠΈΠ½ΠΎ ΡΡΠΈΡΡΠ΅Π½ΠΈΡ
Π±Π°ΡΠ΅Π½ΠΈΡ
ΠΊΠΎΠ±Π°ΡΠΈΡΠ°. ΠΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΎ ΡΠ΅ ΡΠ΅ΡΠΈΡΠΈ Π³ΡΡΠΏΠ΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π°, ΠΎΠ΄ ΠΊΠΎΡΠΈΡ
ΡΠ΅ ΠΏΡΠ²Π° Π±ΠΈΠ»Π° ΠΊΠΎΠ±Π°ΡΠΈΡΠ° ΡΠΎΠ±ΠΈΡΠ°ΡΠ΅Π½ΠΎΠ³ ΡΠ°ΡΡΠ°Π²Π° (ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π° Π³ΡΡΠΏΠ° ΡΠ° 25% ΠΌΠ°ΡΠ½ΠΎΠ³ ΡΠΊΠΈΠ²Π°), Π΄ΡΡΠ³Π° ΠΈ ΡΡΠ΅ΡΠ° (Π ΠΈ Π) Π³ΡΡΠΏΠ° ΡΡ ΠΈΠ·ΡΠ°ΡΠ΅Π½Π΅ ΡΠ° ΡΠΌΠ°ΡΠ΅Π½ΠΈΠΌ ΡΠ΄Π΅Π»ΠΎΠΌ ΠΌΠ°ΡΠ½ΠΎΠ³ ΡΠΊΠΈΠ²Π° (15% ΠΈ7,5%, ΠΏΠΎΡΠ΅Π΄ΠΈΠ½Π°ΡΠ½ΠΎ), Π΄ΠΎΠΊ ΡΠ΅ ΡΠ΅ΡΠ²ΡΡΠ° Π³ΡΡΠΏΠ° (Π¦) ΠΈΠ·ΡΠ°ΡΠ΅Π½Π° Π±Π΅Π· Π΄ΠΎΠ΄Π°ΡΠΊΠ° ΠΌΠ°ΡΠ½ΠΎΠ³ ΡΠΊΠΈΠ²Π°. ΠΠ°ΠΎ Π·Π°ΠΌΠ΅Π½Π° Π·Π° ΠΌΠ°ΡΠ½ΠΎ ΡΠΊΠΈΠ²ΠΎ Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠΌΠ° Π, Π ΠΈ Π¦ ΡΠΏΠΎΡΡΠ΅Π±ΡΠ΅Π½ΠΈ ΡΡ 4% ΠΈΠ½ΡΠ»ΠΈΠ½Π° (ΠΊΠΎΠ΄ ΡΠ²ΠΈΡ
) ΠΈ 0,7%, 1,2% ΠΈ 1,65% ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΏΠΎΡΠ΅Π΄ΠΈΠ½Π°ΡΠ½ΠΎ, ΡΠ· ΠΏΡΠΎΠΏΠΎΡΡΠΈΠΎΠ½Π°Π»Π½ΠΎ ΠΏΠΎΠ²Π΅ΡΠ°ΡΠ΅ ΡΠ΄Π΅Π»Π° Π²ΠΎΠ΄Π΅ (Π»Π΅Π΄Π°) Ρ Π½Π°Π΄Π΅Π²Ρ. Π Π΅Π·ΡΠ»ΡΠ°ΡΠΈ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ° ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π° ΡΠ΅ ΠΌΠΎΠ³ΡΡΠ° ΠΏΠΎΡΠΏΡΠ½Π° Π·Π°ΠΌΠ΅Π½Π° ΠΌΠ°ΡΠ½ΠΎΠ³ ΡΠΊΠΈΠ²Π° Π½Π°Π²Π΅Π΄Π΅Π½ΠΈΠΌ ΡΠ°ΡΡΠΎΡΡΠΈΠΌΠ°, ΡΠΈΠΌΠ΅ ΡΠ΅ Π΄ΠΎΠ±ΠΈΡΠ° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ (Π¦), ΠΊΠΎΡΠΈ ΡΠ°Π΄ΡΠΆΠΈ Ρ ΠΏΡΠΎΡΠ΅ΠΊΡ 0,85% ΠΌΠ°ΡΡΠΈ, ΠΈΠΌΠ° ΠΌΠ°ΡΠΈ ΡΠ΄Π΅ΠΎ Ρ
ΠΎΠ»Π΅ΡΡΠ΅ΡΠΎΠ»Π° (46,23 mg/100 g) ΠΈ Π²Π΅ΡΠΈ ΡΠ°Π΄ΡΠΆΠ°Ρ ΡΠ»ΠΎΠΆΠ΅Π½ΠΈΡ
ΡΠ³Π΅ΡΠ½ΠΈΡ
Ρ
ΠΈΠ΄ΡΠ°ΡΠ° β ΠΏΡΠ΅Π±ΠΈΠΎΡΠΈΠΊΠ° (7,46%) Π½Π΅Π³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Π° (25,48%, 55,87 mg/100 g, 0,91%, ΠΏΠΎΡΠ΅Π΄ΠΈΠ½Π°ΡΠ½ΠΎ). Π£ ΠΎΠ΄Π½ΠΎΡΡ Π½Π°
ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Ρ Π³ΡΡΠΏΡ, ΠΊΠΎΠ΄ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈΠ· Π³ΡΡΠΏΠ΅ Π¦ ΠΎΡΡΠ²Π°ΡΠ΅Π½Π° ΡΠ΅ ΡΠ΅Π΄ΡΠΊΡΠΈΡΠ° ΡΠ°Π΄ΡΠΆΠ°ΡΠ° ΠΌΠ°ΡΡΠΈ ΠΎΠ΄ 97%.
Π‘Π°Π΄ΡΠΆΠ°Ρ ΠΏΡΠΎΡΠ΅ΠΈΠ½Π° ΠΌΠ΅ΡΠ° ΡΠ΅ Π±ΠΈΠΎ ΡΡΠ΅Π΄Π½Π°ΡΠ΅Π½ ΠΊΠΎΠ΄ ΡΠ²ΠΈΡ
Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»Π½ΠΈΡ
Π³ΡΡΠΏΠ° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈ
ΠΈΠ·Π½ΠΎΡΠΈΠΎ ΠΎΠ΄ 11,75% ΠΊΠΎΠ΄ ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ Π³ΡΡΠΏΠ΅, Π΄ΠΎ 12,34% ΠΊΠΎΠ΄ Π³ΡΡΠΏΠ΅ Π. Π£Π΄Π΅ΠΎ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° Ρ ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠΌΠ°
ΠΌΠ΅ΡΠ° Π±ΠΈΠΎ ΡΠ΅ Π·Π½Π°ΡΠ°ΡΠ½ΠΎ Π²Π΅ΡΠΈ ΠΊΠΎΠ΄ ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠΎ Π²Π°Π½ΠΈΡ
ΠΊΠΎ Π± Π° ΡΠΈΡΠ° (ΠΎΠ΄ 6,24% ΠΊΠΎΠ΄ Π Π³ΡΡΠΏΠ΅ Π΄ΠΎ 10,26% ΠΊΠΎΠ΄
Π¦ Π³ΡΡΠΏΠ΅) Π½Π΅Π³ΠΎ ΠΊΠΎΠ΄ ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ Π³ΡΡΠΏΠ΅ (3,68%) 3,68%), Π°Π»ΠΈ ΡΠ΅ ΠΊΠΎΠ΄ ΡΠ²ΠΈΡ
Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»Π½ΠΈΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° Π±ΠΈΠΎ
Ρ ΠΎΠΊΠ²ΠΈΡΡ Π΄ΠΎΠ·Π²ΠΎΡΠ΅Π½ΠΈΡ
Π³ΡΠ°Π½ΠΈΡΠ° Π΄Π΅ΡΠΈΠ½ ΠΈ ΡΠ°Π½ΠΈΡ
ΠΏΡΠΎΠΏΠΈΡΠΈΠΌΠ° ΠΠ½Π°ΡΠ°ΡΠ½ΠΎ Π²Π΅ΡΠΈ ΡΠ°Π΄ΡΠΆΠ°Ρ Π²ΠΎΠ΄Π΅ ΡΡΠ²ΡΡΠ΅Π½
ΡΠ΅ ΠΊΠΎΠ΄ ΡΠ²ΠΈΡ
ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠΎΠ²Π°Π½ΠΈΡ
ΠΊΠΎΠ± Π°ΡΠΈΡΠ° ( Π³ΡΡΠΏΠ° Π 64,89%, Π³ΡΡΠΏΠ° Π 71,53% ΠΈ Π³ΡΡΠΏΠ° Π¦ 77,34%) Π½Π΅Π³ΠΎ
ΠΊΠΎΠ΄ ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ Π³ΡΡΠΏΠ΅ (60 69%), ΠΌΠ΅ΡΡΡΠΈΠΌ ΡΠΎ Π½ΠΈΡΠ΅ ΡΡΠΈΡΠ°Π»ΠΎ Π½Π° Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡ Π²ΠΎΠ΄Π΅ Π½ΠΈ Π½Π° ΡΠ
Π²ΡΠ΅Π΄Π½ΠΎΡΡ, ΠΊΠΎΡΠΈ ΡΡ ΠΊΠΎΠ΄ ΡΠ²ΠΈΡ
Π³ΡΡΠΏΠ° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° Π±ΠΈΠ»Π° ΡΡΠ΅Π΄Π½Π°ΡΠ΅Π½ΠΈ Π£ ΠΏΠΎΠ³Π»Π΅Π΄Ρ ΡΠ°Π΄ΡΠΆΠ°ΡΠ° ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π° Ρ Π»ΠΈΠΏΠΈΠ΄Π½ΠΎΠΌ Π΅ΠΊΡΡΡΠ°ΠΊ ΡΡ (ΡΠ΅Π»Π°ΡΠΈΠ²Π°Π½ ΡΠ°Π΄ΡΠΆΠ°Ρ ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π°), ΠΊΠΎΠ±Π°ΡΠΈΡΠ΅ ΠΈΠ· Π³ΡΡΠΏΠ΅ Π¦
ΠΈΠΌΠ°Π»Π΅ ΡΡ Π·Π½Π°ΡΠ°ΡΠ½ΠΎ Π½ΠΈΠΆΠΈ ΡΠ΅Π»Π°ΡΠΈΠ²Π½ΠΈ ΡΠ΄Π΅ΠΎ n 3 ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π° ΠΈ ΠΏΠΎΠ»ΠΈΠ½Π΅Π·Π°ΡΠΈΡΠ΅Π½ΠΈΡ
ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π°, Π·Π½Π°ΡΠ°ΡΠ½ΠΎ Π²Π΅ΡΠΈ ΡΠ΄Π΅ΠΎ ΠΌΠΎΠ½ΠΎΠ½Π΅Π·Π°ΡΠΈΡΠ΅Π½ΠΈΡ
ΠΊΠ°ΠΎ ΠΈ ΠΏΡΠΈΠ±Π»ΠΈΠΆΠ°Π½ ΡΠ΄Π΅ΠΎ Π·Π°ΡΠΈΡΠ΅Π½ΠΈΡ
ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π° ΠΈ n 6/ n 3 ΠΎΠ΄Π½ΠΎΡ Ρ ΠΏΠΎΡ Π΅ΡΠ΅ΡΡ ΡΠ° ΠΊΠΎΠ½ΡΡΠΎΠ»Π½ΠΈΠΌ ΠΊΠΎΠ±Π°ΡΠΈΡΠ°ΠΌΠ°, ΠΈ ΠΊΠΎΠ±Π°ΡΠΈΡΠ°ΠΌΠ° ΠΈΠ· Π³ΡΡΠΏΠ° Π ΠΈ
Π. ΠΠ΅ΡΡΡΠΈΠΌ, Ρ ΠΏΠΎΠ³Π»Π΅Π΄Ρ ΡΠ°Π΄ΡΠΆΠ°ΡΠ° ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π° Ρ ΡΠ΅Π»ΠΎΠΌ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Ρ (Π°ΠΏΡΠΎΠ»ΡΡΠ½ΠΈ ΡΠ°Π΄ΡΠΆΠ°Ρ
ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π°), ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ ΠΊΠΎΠ±Π°ΡΠΈΡΠ΅ ΡΡ ΡΠ°Π΄ΡΠΆΠ°Π»Π΅ Π·Π½Π°ΡΠ°ΡΠ½ΠΎ Π²Π΅ΡΡ ΠΊΠΎΠ»ΠΈΡΠΈΠ½Ρ Π·Π°ΡΠΈΡΠ΅Π½ΠΈΡ
(8,95 %) ΠΈ n 6 ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π° (4 ,16 %) ΠΎΠ΄ ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠΎΠ²Π°Π½ΠΈΡ
ΠΊΠΎΠ±Π°ΡΠΈΡΠ° ΠΊΠΎΡΠ΅ ΡΡ ΡΠ°Π΄ΡΠΆΠ°Π»Π΅
Π·Π°ΡΠΈΡΠ΅Π½Π΅ ΠΌΠ° ΡΠ½Π΅ ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π΅ Ρ ΠΊΠΎΠ»ΠΈΡΠΈΠ½ΠΈ ΠΎΠ΄ 0,31% (Π³ΡΡΠΏΠ° Π¦) Π΄ΠΎ 4,29 % (Π³ΡΡΠΏΠ° Π), ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ n 6
ΠΌΠ°ΡΠ½ΠΈΡ
ΠΊΠΈΡΠ΅Π» ΠΈΠ½Π° ΠΎΠ΄ 0,07% (Π³ΡΡΠΏΠ° Π¦) Π΄ΠΎ 1,39 % (Π³ΡΡΠΏΠ° Π), Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ ΡΠ΅Π³Π° ΡΡ ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠΎΠ²Π°Π½Π΅
ΠΊΠΎΠ°Π±ΡΠΈΡΠ΅ Π·Π½Π°ΡΠ°ΡΠ½ΠΎ ΠΏΠΎΠ²ΠΎΡΠ½ΠΈΡΠ΅ ΡΠ° Π½ΡΡΡ ΠΈΡΠΈΠ²Π½ΠΎΠ³ Π°ΡΠΏΠ΅ΠΊΡΠ°. ΠΠΎΠ΄ ΡΠ²ΠΈΡ
Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»Π½ΠΈΡ
Π³ΡΡΠΏΠ°
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΡΡΠ²ΡΡΠ΅Π½ ΡΠ΅ Π½ΠΈΠ·Π°ΠΊ ΡΡΠ΅ΠΏΠ΅Π½ Ρ
ΠΈΠ΄ΡΠΎΠ»ΠΈΡΠΈΡΠΊΠΈΡ
ΠΈ ΠΎΠΊΡΠΈΠ΄Π° ΡΠΈΠ²Π½ΠΈΡ
ΠΏΡΠΎΠΌΠ΅Π½Π° Π½Π° ΠΌΠ°ΡΡΠΈΠΌΠ°.
ΠΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΡΠΊΠ° ΠΈΡΠΏΠΈΡΠΈΠ²Π°ΡΠ° ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Π»Π° Π΄Π° Π½ΠΈ Ρ ΡΠ΅Π΄Π½ΠΎΠΌ ΠΈΡΠΏΠΈΡΠΈΠ²Π°Π½ΠΎΠΌ ΡΠ·ΠΎΡΠΊΡ Π½ΠΈΡΠ΅ ΡΡΠ²ΡΡΠ΅Π½ΠΎ
ΠΏΡΠΈΡΡΡΡΠ²ΠΎ ΡΠ°Π»ΠΌΠΎΠ½Π΅Π»Π° ΠΈ Π»ΠΈΡΡΡΠ΅ΡΠΈΡΠ°, Π° Π±ΡΠΎ Ρ Π΅Π½ΡΠ΅ΡΠΎΠΊΠΎΠΊΠ° ΠΈ ΡΡΠ»ΡΠΈΡΠΎΡΠ΅Π΄ΡΠΊΡΡΡΡΠΈΡ
ΠΊΠ»ΠΎΡΡΡΠΈΠ΄ΠΈΡΠ° ΡΠ΅
Π±ΠΈΠΎ ΠΈΡΠΏΠΎΠ΄ Π»ΠΈΠΌΠΈΡΠ° Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠ΅. ΠΠ°ΠΊΡΠ΅ΡΠΈΡΠ΅ ΠΌΠ»Π΅ΡΠ½Π΅ ΠΊΠΈΡΠ΅Π»ΠΈΠ½ Π΅ ΡΡ Π΄Π΅ΡΠ΅ΠΊΡΠΎΠ²Π°Π½Π΅ Π½Π° ΠΊΡΠ°ΡΡ
ΡΠΊΠ»Π°Π΄ΠΈΡΡΠ΅ΡΠ° ΡΠ°ΠΌΠΎ ΠΊΠΎΠ΄ ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ Π³ΡΡΠΏΠ΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π°, Π° ΡΠΈ Ρ
ΠΎΠ² Π±ΡΠΎΡ ΡΠ΅ Π±ΠΈΠΎ Ρ ΠΎΠΊΠ²ΠΈΡΡ Π΄ΠΎΠ·Π²ΠΎΡΠ΅Π½ΠΈΡ
Π³ΡΠ°Π½ΠΈΡΠ°. Π£ ΠΏΠΎΠ³Π»Π΅Π΄Ρ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»Π½ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ ΡΠ°ΡΠ° Π±ΠΎΡΠ΅, ΠΊΠΎΠ±Π°ΡΠΈΡΠ΅ ΠΈΠ· Π³ΡΡΠΏΠ΅ Π¦ Π±ΠΈΠ»Π΅ ΡΡ
Π½Π°ΡΡΠ°ΠΌΠ½ΠΈΡΠ΅ ΠΈ ΡΠ° Π½Π°ΡΠΌΠ°ΡΠΈΠΌ ΡΠ΄Π΅Π»ΠΎΠΌ ΡΡΠ²Π΅Π½Π΅ Π±ΠΎΡΠ΅. ΠΠ°ΡΡΠ²Π΅ΡΠ»ΠΈΡΠ΅ ΡΡ Π±ΠΈΠ»Π΅ ΠΊΠΎΠ±Π°ΡΠΈΡΠ΅ ΠΈΠ· Π³ΡΡΠΏΠ΅ Π, Π°
Π½Π°ΡΠΈΠ½ΡΠ΅Π½Π·ΠΈΠ²Π½ΠΈΡΠΈ ΡΠ΄Π΅ΠΎ ΡΡΠ²Π΅Π½Π΅ Π±ΠΎΡΠ΅ ΠΈΠΌΠ°Π»Π΅ ΡΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ ΠΊΠΎΠ±Π°ΡΠΈΡΠ΅. Π£Π΄Π΅ΠΎ ΠΆΡΡΠ΅ Π±ΠΎΡΠ΅ Π±ΠΈΠΎ ΡΠ΅
ΡΡΠ΅Π΄Π½Π°ΡΠ΅Π½ ΠΊΠΎΠ΄ ΡΠ²ΠΈΡ
Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»Π½ΠΈΡ
Π³ΡΡΠΏΠ°. ΠΠ½ ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»Π½ΠΈΠΌ ΠΈΡΠΏΠΈΡΠΈΠ²Π°ΡΠ΅ΠΌ ΡΠ΅ΠΊΡΡΡΡΠ΅
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° Π½ΠΈΡΡ ΡΡΠ²ΡΡΠ΅Π½Π΅ Π·Π½Π°ΡΠ°ΡΠ½Π΅ ΡΠ°Π·Π»ΠΈΠΊΠ΅ Ρ ΡΠ²ΡΡΡΠΎΡΠΈ, Π°Π΄Ρ
Π΅Π·ΠΈΠ²Π½ΠΎΡΡΠΈ, Π΅Π»Π°ΡΡΠΈΡΠ½ΠΎΡΡΠΈ ΠΈ
ΠΆΠ²Π°ΠΊΡΠΈΠ²ΠΎΡΡΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈΠ· ΠΌ Π΅ΡΡ Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ»Π°Π½ΠΈΡ
Π³ΡΡΠΏΠ°. ΠΠΎΡ
Π΅Π·ΠΈΠ²Π½ΠΎΡΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ Π³ΡΡΠΏΠ΅ ΠΈ
ΠΊΠΎΠ±Π°ΡΠΈΡΠ° ΠΈΠ· Π³ΡΡΠΏΠ΅ Π¦ Π±ΠΈΠ»Π° ΡΠ΅ ΠΏΡΠΈΠ±Π»ΠΈΠΆΠ½Π° ΠΈ Π·Π½Π°ΡΠ°ΡΠ½ΠΎ ΠΌΠ°ΡΠ° Π½Π΅ Π³ΠΎ ΠΊΠΎΠ΄ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π° ΠΈΠ· Π³Ρ Ρ ΠΏΠ΅ Π ΠΈ Π.
Π£ΠΊΡΠΏΠ½Π° ΡΠ΅Π½Π·ΠΎΡΠ½Π° ΠΎΡΠ΅Π½Π° Π±ΠΈΠ»Π° ΡΠ΅ Π·Π½Π°ΡΠ°ΡΠ½ΠΎ Π²Π΅ΡΠ° ΠΊΠΎΠ΄ ΠΊΠΎΠ±Π°ΡΠΈΡΠ° ΠΈΠ· Π³ΡΡΠΏΠ° Π (4,21) ΠΈ Π¦ (4,02) Ρ
ΠΏΠΎΡΠ΅ΡΠ΅ΡΡ ΡΠ° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠΌΠ° ΠΈΠ· ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ Π³ΡΡΠΏΠ΅ (3,23) ΠΈ Π³ΡΡΠΏΠ΅ Π (3,58) Π½Π° ΠΏΠΎΡΠ΅ΡΠΊΡ, ΠΊΠ°ΠΎ ΠΈ Π½Π°
ΠΊΡΠ°ΡΡ ΡΠΊΠ»Π°Π΄ΠΈΡΡΠ΅ΡΠ°.ΠΊΡΠ°ΡΡ ΡΠΊΠ»Π°Π΄ΠΈΡΡΠ΅ΡΠ°. Π£ ΠΏΠΎΡΠ΅ΡΠ΅ΡΡ ΡΠ° ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠΎΠ²Π°Π½ΠΈΠΌ ΠΊΠΎΠ±Π°ΡΠΈΡΠ°ΠΌΠ°, ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π΅ ΠΊΠΎΠ±Π°ΡΠΈΡΠ΅ ΡΡ Π±ΠΈΠ»Π΅
Π·Π½Π°ΡΠ°ΡΠ½ΠΎ ΡΠ»Π°Π±ΠΈΡΠ΅ ΠΎΡΠ΅ΡΠ΅Π½Π΅
Π·Π½Π°ΡΠ°ΡΠ½ΠΎ ΡΠ»Π°Π±ΠΈΡΠ΅ ΠΎΡΠ΅ΡΠ΅Π½Π΅ Ρ ΠΏΠΎΠ³Π»Π΅Π΄Ρ Ρ ΠΏΠΎΠ³Π»Π΅Π΄Ρ ΠΌΠΈΡΠΈΡΠ° ΠΈ ΡΠΊΡΡΠ°ΠΌΠΈΡΠΈΡΠ° ΠΈ ΡΠΊΡΡΠ°. . Π Π΅Π·ΡΡΠ°ΡΠΈ ΠΈΡΠΏΠΈΡΠΈΠ²Π°ΡΠ° ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π° Π Π΅Π·ΡΡΠ°ΡΠΈ ΠΈΡΠΏΠΈΡΠΈΠ²Π°ΡΠ° ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π° ΡΡΡΠΏΠ΅Π½Π·ΠΈΡΠ° ΠΈΠ½ΡΠ»ΠΈΠ½Π° ΠΈ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΌΠΎΠΆΠ΅ Ρ ΠΏΠΎΡΠΏΡΠ½ΠΎΡΡΠΈ Π΄Π° Π·Π°ΠΌΠ΅Π½ΠΈ ΠΌΠ°ΡΠ½ΠΎ ΡΠΊΠΈΠ²ΠΎ Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΠΈ ΡΠΈΠ½ΠΎ ΡΡΡΠΏΠ΅Π½Π·ΠΈΡΠ° ΠΈΠ½ΡΠ»ΠΈΠ½Π° ΠΈ ΠΊΠΎΠ»Π°Π³Π΅Π½Π° ΠΌΠΎΠΆΠ΅ Ρ ΠΏΠΎΡΠΏΡΠ½ΠΎΡΡΠΈ Π΄Π° Π·Π°ΠΌΠ΅Π½ΠΈ ΠΌΠ°ΡΠ½ΠΎ ΡΠΊΠΈΠ²ΠΎ Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΠΈ ΡΠΈΠ½ΠΎ ΡΡΠΈΡΡΠ΅Π½ΠΈΡ
Π±Π°ΡΠ΅Π½ΠΈΡ
ΠΊΠΎΠ±Π°ΡΠΈΡΠ°, ΠΏΡΠΈ ΡΠ΅ΠΌΡ ΡΠ΅ Π΄ΠΎΠ±ΡΡΠΈΡΡΠ΅Π½ΠΈΡ
Π±Π°ΡΠ΅Π½ΠΈΡ
ΠΊΠΎΠ±Π°ΡΠΈΡΠ°, ΠΏΡΠΈ ΡΠ΅ΠΌΡ ΡΠ΅ Π΄ΠΎΠ±ΠΈΡΠ°ΡΡ Π±Π΅Π·Π±Π΅Π΄Π½ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈ Π²ΠΈΡΠΎΠΊΠΎΠ³ ΠΊΠ²Π°Π»ΠΈΡΠ΅ΡΠ° ΠΈ ΠΈΡΠ°ΡΡ Π±Π΅Π·Π±Π΅Π΄Π½ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈ Π²ΠΈΡΠΎΠΊΠΎΠ³ ΠΊΠ²Π°Π»ΠΈΡΠ΅ΡΠ° ΠΈ Π΄ΠΎΠ±ΡΠ΅ ΠΎΠ΄ΡΠΆΠΈΠ²ΠΎΡΡΠΈ.Π΄ΠΎΠ±ΡΠ΅ ΠΎΠ΄ΡΠΆΠΈΠ²ΠΎΡΡΠΈ.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 (Π 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 β 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 Π (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.
Master of Science in Hydrology. University of KwaZulu-Natal. Pietermaritzburg, 2017.Abstract available in PDF file