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Risk assessment and prediction of natural fires in the immediate vicinity\nsurface sources of drinking water.
Trnka, Miroslav ; Kudláčková, Lucie ; Čermák, P. ; Balek, Jan ; Novotný, Jan ; Homolová, Lucie ; Semerádová, Daniela ; Brovkina, Olga ; Štěpánek, Petr ; Zahradníček, Pavel ; Skalák, Petr ; Bláhová, Monika ; Benáček, Patrik ; Fischer, Milan ; Sedlák, Pavel ; Janouš, Dalibor ; Žalud, Zdeněk ; Marek, Michal V. ; Možný, M. ; Hájková, L. ; Chuchma, F. ; Knozová, G. ; Beranová, J. ; Zatloukal, V. ; Albert, J. ; Mašková, R. ; Cienciala, E. ; Vizina, A. ; Nesládková, M. ; Melišová, E. ; Hanel, M.
The methodology formulates a procedure for assessing the risks of the occurrence and spread of natural fires in the immediate vicinity of surface sources of drinking water. The methodology\nproposes methods for estimating the consequences of natural fires on surface water quality, forecasting the change in the risk of fires due to climate change and the procedure for determining the risk of secondary pollution of reservoirs due to changes in run off after a natural fire. On this basis, the methodology proposes and diversifies preventíve and operational measures.The measures were designed in connection to modeling results for the Hadce pilot síte near the Švihov reservoir and the experience with the adverse effects of extensive deforestation on the water quality in the Vranov and Vír reservoirs.
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System of natural fire risk indicators (verification of various risk assessment procedures occurrence of natural fires) including instructions for the use of the integrated forecast system
Trnka, Miroslav ; Čermák, Petr ; Kudláčková, Lucie ; Balek, Jan ; Semerádová, Daniela ; Brovkina, Olga ; Zemek, František ; Štěpánek, Petr ; Zahradníček, Pavel ; Skalák, Petr ; Bláhová, Monika ; Jurečka, František ; Janouš, Dalibor ; Žalud, Zdeněk ; Marek, Michal V. ; Cienciala, Emil ; Beranová, J. ; Zatloukal, V. ; Albert, J. ; Tumajer, J. ; Možný, M. ; Hájková, L. ; Chuchma, F.
The presented methodology represents an improvement of the currently used system of wildfire monitoring and forecast. Based on extensive testing, it defines two fire weather indices. The method shows how the combination of both indices can lead to robust fire risk estimates. Both indices were uset to generate a forecast of fire weather, but also to quantify th erelationship between the frequency of favorable conditions for the occurrence of natural fires and their observed numbers, in several time steps (from 1 day to the entire season) The methodology has been implemented within the www. firerisk.cz portal, where it serves as a tool for operational fire risk forecasting. The text of the methodology therefore contains instructions for using the menthodology therefore contains instructions for using the firerick.cz portal. Great attention is paid in the methodology to the aspect of climate change and estimating the impact of this phenomenon on the frequency of wildfires in the Czech republic.
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Recommended adaptation and mitigation measures in risk areas of natural occurrence fires in the light of the changing climate
Trnka, Miroslav ; Čermák, Petr ; Kudláčková, Lucie ; Balek, Jan ; Semerádová, Daniela ; Brovkina, Olga ; Zemek, František ; Štěpánek, Petr ; Zahradníček, Pavel ; Bláhová, Monika ; Cienciala, Emil ; Beranová, J. ; Zatloukal, V. ; Albert, J. ; Tumajer, J. ; Možný, M. ; Hájková, L. ; Chuchma, F.
The methodology formulates graded adaptation and mitigation measures to mitigate fire risk and spread fire in the countryside (forest and agricultural land). To this end, a variant assessment procedure is presented fire risk according to the user's data capabilities. The algorithmization of fire risk in forests is based on forest typology to assess habitats, and adds forest vegetation characteristics. On agricultural Soil agronomic factors include crop type, cover cover, habitat and water characteristics regime. For both territorial categories, the expected impacts of climate change on fire risk are given habitat in the medium term (by 2050). Methodology in conclusion on a case study demonstrates the possibilities of using the model tool FlamMap for the analysis of fire characteristics.
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Clustering a load balancing serveru pro zpracování řeči
Trnka, Miroslav
This paper deals with the possibilities for load balancing and clustering of an existing server for speech processing. The paper analyzes problems of load balancing and clustering. There are also described the concepts of network programming and options for I/O processing. A new design of a load balancer is created, fully customized for the needs of speech processing server. This newly designed load balancer is implemented and thoroughly tested.
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COMPARISON OF ACTUAL EVAPOTRANSPIRATION FROM ALEXI AND SOILCLIM MODELS
Jurečka, František ; Hlavinka, Petr ; Lukas, Vojtěch ; Trnka, Miroslav ; Anderson, M. ; Hain, C. ; Balek, Jan ; Bláhová, Monika ; Žalud, Zdeněk
Actual evapotranspiration (ETa) determined by the Atmosphere-land Exchange Inverse (ALEXI) model and water balance model SoilClim was compared for selected districts of the Czech Republic. The ALEXI model uses the land surface temperature (LST) from remote sensing and provides information on ETa and subsequently the surface moisture status. The SoilClim is a dynamic model of watcr content in soil and represents a model based on water balance approach. The current version of the model is able to estimate the value of ETa, as well as soil moisture content in two layers of the soil profile. Investigated period of ETa comparison were years 2014 and 2015. Especially the year 2015 had a special relevance due to the significant summer drought that occurred in CR. Model performance was compared for the period when changes in vegetation are most significant from April to August. Week sums of ETa from both models were compared at the district level for Vysodina, JihomorayskY and Olomouck, regions. The ETa values were generally higher from ALEXI as compared to SoilClim. ALEXI values were in some cases even two or three time higher. Moreover, the seasonal dynamics showed sometimes opposite trends. As this is a pilot testing of ALEXI based ETa in the conditions of Central Europe and show large differences as compared to well established methods, more detailed testing is required prior drawing any general conclusions.
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Regional yield forecasting for improved decision making in the plant production
Trnka, Miroslav ; Hlavinka, Petr ; Kudláčková, Lucie ; Balek, Jan ; Meitner, Jan ; Možný, Martin ; Štěpánek, Petr ; Bartošová, Lenka ; Semerádová, Daniela ; Bláhová, Monika ; Lukas, Vojtěch ; Žalud, Zdeněk
The methodology describes how to predict yields of key crops, and at the same time addresses reliability of the predictions and how these can be used. The ability to predict yield levels more than 2 months prior the harvest on the level of regions (NUTS3¨) and districts (LAU1) brings also new opportunities to mitigate impacts of adverse conditions. The methodology shows that the yield forecasts and yield anomalies in particular are consistent and usable in practices. In this methodology, the results of 2018 yield forecasts are presented as an example. The yield forecasting system for the Czech Republic is fully functional and is and will be available through www.vynosy-plodin.cz.
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Using growth models to evaluate field crops management practices and influence on soil processes
Hlavinka, Petr ; Trnka, Miroslav ; Balek, Jan ; Dubrovský, Martin ; Pohanková, Eva ; Wimmerová, Markéta ; Žalud, Zdeněk
The publication describes the application of growth model for evaluation of different farming methods in the cultivation of selected field crops and their influence on selected soil processes and conditions. This publication focuses on complex simulations in the soil-plant-atmosphere-farmer interaction system using the HERMES model. The ability to simulate processes in crop rotation scheme continuously and uninterruptedly (e.g. over a period of more than 100 years) gives the opportunity to assess the long-term trends in soil processes, both due to different approaches to farming and combined with selected location and soil conditions. It is possible also for selected scenarios of climate change in future. This material presents both the outputs for weather conditions without any considered climate change and conditions reflecting the shift in climatic conditions during the 21st century based on 6 selected climatic scenarios. The expected impacts on the growth and yields of the target field crops are also quantified for the selected combination of conditions.
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Foliar application of zinc reduces the risk of drought stress on poppy (Papaver somniferum L.)
Škarpa, P. ; Richter, R. ; Hlavinka, Petr ; Trnka, Miroslav
Especially in arid regions, drought stress is considered as one of the main reasons for yield reduction of plant. Zinc, as one of the essential microelements in crop plant, plays a crucial role in resistance to drought stress. The objective of the vegetation experiment established in 2011-2015 on locality Zaboice was to explore the effect of the foliar zinc application on the yield of poppy in interactions with weather conditions observed years. Effect of zinc foliar application was significantly dependent on the average daily air temperature (r =-0.936). Foliar application of zinc increases production of poppy seed, in the range from 6.9 to 25.5 % and the efficiency of zinc foliar fertilization increases with a widening deficit rainfall calculated as the difference between the precipitation sum and reference evapotranspiration of poppy growing season (r =-0.9072). In general, the results of the present study indicate that usage of zinc foliar application reduces the harmful effects of water deficit stress and increases resistance to drought stress in poppy plant.
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Evaluating drought risk for permanent grasslands under present and future climate conditions
Trnka, Miroslav ; Schaumberger, A. ; Formayer, H. ; Eitzinger, Josef ; Hlavinka, Petr ; Semerádová, Daniela ; Dubrovský, Martin ; Možný, M. ; Thaler, S. ; Žalud, Zdeněk
Over the past years, the changing climate has affected parts of Czech Republic and Austria by drought spells of the intensity and extend that was unprecedented in previous decades. These events had a significant impact on agricultural areas, especially on the grasslands. The idea behind the GIS monitoring relies on hypothesis that the effect of weather and climate conditions on the grassland production can be estimated by models that describe certain natural processes in a simplified manner and in spatialized form.
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System for monitoring and forecast of impacts of agricultural drought
Trnka, Miroslav ; Štěpánek, Petr ; Chuchma, F. ; Možný, M. ; Bartošová, Lenka ; Hlavinka, Petr ; Balek, Jan ; Zahradníček, Pavel ; Skalák, Petr ; Farda, Aleš ; Semerádová, Daniela ; Meitner, Jan ; Bláhová, M. ; Fiala, R. ; Žalud, Zdeněk
The methodology describes how to predict soil moisture and drought intensity, and at the same time addresses reliability of the predictions and how these can be used. The ability to predict soil moisture values over a period of up to 9 days is presented through using ensemble of models for numerical weather forecasts. This method brings also new opportunities to mitigate impacts during drought events by farmers using such forecasting tools. With regard to the relatively high predictability of soil moisture and drought intensity, the methodology introduces the basic procedures and provides necessary information for the users. In this methodology, the results of 2017 drought event are presented as an example. The drought forecasting system for the Czech Republic is fully functional and is and will be available through www.intersucho.cz.
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