5篇
您的检索式：作者名="Petr Lukes"
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| 1 | Pulsed electrical discharge in water generated using porous-ceram- ic-coated electrodes显示文摘 | Petr Lukes Member IEEE Martin Clupek | | IEEE Transaction on Plasma Sci- ence0，36，4： | 1 |
| 2 | Assessment of bioavailable fraction of POPS in surface water bodies in Johannesburg City, South Africa, using passive samplers: an initial assessment显示文摘 | Robert Amdany Luke Chimuka Ewa Cukrowska Petr Kuku?ka Ji?í Kohoutek Peter T?lgyessy Branislav Vrana | 2014 | Environmental Monitoring and Assessment2014，，9： | 1 |
| 3 | Presence of different genotypes of Helicobacter pylori in patients with chronic tonsillitis and sleep apnoea syndrome显示文摘 | Eva Nártová Jaroslav Kraus Emil Pavlík Petr Luke? Rami Katra Jan Plzák Libu?e Kolá?ová Ivan ?terzl Jan Betka Jaromír Astl | 2014 | European Archives of Oto-Rhino-Laryngology2014，，： | 1 |
| 4 | Generation of ozone by pulsed corona discharge overwater surface in hybrid gas-liquid electrical discharge reactor显示文摘 | LUKES Petr CLUPEK Martin VACLAV Babicky | 2005 | Journal of Physics D (Applied Physics)2005，38，： | 1 |
| 5 | Influence of environmental predispositions on temperate mountain forest damage at different spatial scales during alternating drought and flood periods:case study in Hruby Jeseník Mts.(Czech Republic)显示文摘Mountain forests are more prone to environmental predispositions(EPs)than submountain ones.While remote sensing of mountain forests enables instantaneous damage mapping,the investigation of the causes requires field data.However,a local field or regionally modeled environmental characteristics influence remote data evaluation differently.This study focused on the evaluation of EPs effects damaging mountain forests between various spatial resolutions during environmental change.The evaluation was divided into managed and natural forests in the Hruby Jeseník Mts.(Czech Republic;240-1491 m a.s.l.;50.082°N,17.231°E).Damage was assessed through the discrimination analysis of the normalised difference vegetation index(NDVI)by MODIS VI during alternating drought and flood periods 2003-2014.The local environmental influence was assessed using the discrimination function(DF)separability of forest damage in the training sets.The regional influence was assessed through map algebra estimated via the DF and a forest decline spatial model based on EPs from differences between risk growth conditions and biomass fuzzy sets.Management,EPs and soil influenced forest NDVI at different levels.The management afflicted the NDVI more than the EPs.The EPs afflicted the NDVI more than the soil groups.Strong winters and droughts had a greater influence on the NDVI than the flood events,with the winter of 2005/2006 inverting the DF direction,and the 2003 drought increasing differences in managed forest biomass and decreasing differences in natural forest biomasses.More than 50% of declining managed forests in the training sets occurred on Leptosols,Podzols and Histosols.On a regional scale,the soil influence was eliminated by multiple predispositions.The EPs influenced 96% of natural forest and 65% of managed forest,though managed forest damage was more evident.The mountain forest NDVI decline was dependent on both management and risk predispositions. | Pavel SAMEC Romana KUDELKOVA Petr LUKES Ales KUCERA Pavel CUDLIN | 2022 | Journal of Mountain Science2022，19，7： | 0 |
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