scholarly journals Response of the karst phreatic zone to flood events in a major river (Bohemian Karst, Czech Republic) and its implication for cave genesis

2012 ◽  
Vol 74 (1) ◽  
pp. 65-81 ◽  
Author(s):  
Helena Vysoka ◽  
Jiri Bruthans ◽  
Karel Zak ◽  
Jiri Mls
Author(s):  
Václav Suchý ◽  
Vladimír Machovič ◽  
Ladislav Lapčák ◽  
Lenka Borecká ◽  
Margit Žaloudková ◽  
...  

Biologia ◽  
2007 ◽  
Vol 62 (4) ◽  
Author(s):  
David Svoboda

AbstractThe European method for mapping lichen diversity (LDV) as an indicator of environmental stress/quality in the Czech Republic was evaluated to determine its applicability in this country. A modified Hawksworth & Rose qualitative scale for determining air pollution levels was used for comparative purposes. The study was undertaken in a partially forested and reasonably polluted region of the Bohemian Karst in central Bohemia during 2003. Measurements obtained by the LDV method yielded values in the range 18–65; measurements obtained by the modified Hawksworth & Rose method indicated zones 4–7, with a high correlation with the LDV results. The LDV method proved to be applicable in the region, but its implementation may be limited by the lack of suitable trees and specific landscape ecology.


2019 ◽  
Vol 385 ◽  
pp. 110-125
Author(s):  
Václav Suchý ◽  
Jiří Zachariáš ◽  
Hsien-Chen Tsai ◽  
Tsai-Luen Yu ◽  
Chuan-Chou Shen ◽  
...  

2008 ◽  
Vol 2 (No. 4) ◽  
pp. 156-168 ◽  
Author(s):  
L. Březková ◽  
M. Šálek ◽  
E. Soukalová ◽  
M. Starý

In central Europe, floods are natural disasters causing the greatest economic losses. One way to reduce partly the flood-related damage, especially the loss of lives, is a functional objective forecasting and warning system that incorporates both meteorological and hydrological models. Numerical weather prediction models operate with horizontal spatial resolution of several dozens of kilometres up to several kilometres, nevertheless, the common error in the localisation of the heavy rainfall characteristic maxima is mostly several times as large as the grid size. The distributive hydrological models for the middle sized basins (hundreds to thousands of km<sup>2</sup>) operate with the resolution of hundreds of meters. Therefore, the (in) accuracy of the meteorological forecast can heavily influence the following hydrological forecast. In general, we can say that the shorter is the duration of the given phenomenon and the smaller area it hits, the more difficult is its prediction. The time and spatial distribution of the predicted precipitation is still one of the most difficult tasks of meteorology. Hydrological forecasts are created under the conditions of great uncertainty. This paper deals with the possibilities of the current hydrology and meteorology with regard to the predictability of the flood events. The Czech Hydrometeorological Institute is responsible by law for the forecasting flood service in the Czech Republic. For the precipitation and temperature forecasts, the outputs of the numerical model of atmosphere ALADIN are used. Moreover, the meteorological community has available operational outputs of many weather prediction models, being run in several meteorological centres around the world. For the hydrological forecast, the HYDROG and AQUALOG models are utilised. The paper shows examples of the hydrological flood forecasts from the years 2002&ndash;2006 in the Dyje catchment, attention being paid to floods caused by heavy rainfalls in the summer season. The results show that it is necessary to take into account the predictability of the particular phenomenon, which can be used in the decision making process during an emergency.


2007 ◽  
Vol 2 (3) ◽  
pp. 190-199 ◽  
Author(s):  
Donald Knight ◽  
◽  
Paul Samuels ◽  

Some significant flood events that have occurred in various European countries in the last decade are described. They are used to illustrate the widespread nature of flooding, its economic impact and the resultant loss of life. The underlying hydro-meteorological causes of each flood are outlined, followed by a brief chronology of the flood event and the subsequent consequences. The flood events have been drawn from countries with differing climatic conditions, and from river basins that differ in both size and topography. The selection includes floods from the following countries: the Czech Republic, France, Germany, Hungary, Poland, Switzerland and the UK. The events include examples of both flash floods and slower basin-wide floods. The important lessons that may be drawn from these events are highlighted, as are the economic impacts such floods might have in the future due to climate change.


2021 ◽  
Author(s):  
Hnin Wuit Yee Kyaw ◽  
Alexandra Dudley

&lt;p&gt;Worldwide, floods have major impacts on people, economies, and the environment. In Myanmar, floods are the most frequently occurring hazard and have the highest contribution to average annual loss compared to all other hazards. Although the population has learned to adapt to yearly flooding, climate change exacerbates the frequency and magnitude of flood events to an extent where the population has little capacity to cope. Many factors such as poverty and dependency on agriculture make the Burmese people more vulnerable to major flood events. The need to better understand flood risk and its spatial patterns in Myanmar has become extremely important.&lt;/p&gt;&lt;p&gt;However, the state of the art on flood risk in Myanmar is not well developed. Analysis has mostly focused on flood loss, hazard, mitigation, and resilience, or future vulnerability to flooding. Here we present a comprehensive quantitative indicator-based risk assessment for a major flood event with a 100-year return period at the township level for Myanmar. This analysis will show the spatial distribution of major river flood risk based on the IPCC framing of risk while highlighting factors of vulnerability that contribute to risk. The analysis considered the present-day flood risk to people. Flood extent and population distribution were used to create a hazard/exposure indicator. Then, a systematic literature review was performed to identify relevant vulnerability indicators and drivers for Myanmar. Data for each vulnerability indicator was collected and compiled into one vulnerability index score. Then, we compared two different methods of aggregation of the elements into a risk index: multiplicative arithmetic aggregation and overlay of different quantiles of hazard/exposure and vulnerability. Post hoc analysis was conducted to test the relationship between elements for the multiplicative aggregation method.&lt;/p&gt;&lt;p&gt;The analysis showed that the highly exposed populations and townships are adjacent to rivers, with most flooding in the Ayeyarwady region. Major urban population centers such as Yangon and Mandalay cities have high exposure to flooding. Vulnerability to river flooding is primarily triggered by poverty, inadequate access to healthcare with a limited number of doctors and beds, poor road networks, and a small number of households with boats. Risk is highly concentrated in townships in the Ayeyarwady, Bago, and Rakhine regions in both aggregation methods.&lt;/p&gt;&lt;p&gt;Importantly, there are limitations in this study and future work could focus on addressing these gaps. For example, this assessment focused on a single hazard (flood) and a single exposed element (people) whereas Myanmar has a multi-hazard environment with complex social-ecological systems and high levels of resource dependency. Nevertheless, our study results remain essential for local and national authorities and related organizations in the field of disaster risk reduction as it has a strong conceptual foundation of risk with a clear focus on entry points for vulnerability and risk reduction.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;


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