Petr Máca

Czech University of Life Sciences Prague | CULS · Faculty of Environmental Science

This study investigates the performance of two lumped hydrological models, BILAN and GR2M, in simulating runoff across six catchments in the Gambia River Basin (Senegal) over a 30-year period employing a 7-year sliding window under different climatic conditions. The results revealed differences in overall performance and variable sensitivity of the...

Species-specific tree traits substantially impact precipitation partitioning, soil infiltration, retention, and overall water management. With the changing climate, the evidence of drought-induced tree mortality is increasing, indicating the need for a shift to more resilient species. Therefore, the knowledge of tree species’ effect on soil–water m...

Species-specific tree traits substantially impact precipitation partitioning, soil infiltration, retention, and overall water management. With the changing climate, the evidence of drought-induced tree mortality is increasing, indicating the need for a shift to more resilient species. Therefore, the knowledge of tree species' effect on soil-water m...

Compound extreme events, such as flash drought, have received wide attention in recent decades due to their far-reaching effects on the ecosystem. Thus, a new concept of flash drought has begun to spread globally in the scientific community, and it is continuously being developed. This study offers for the first time an overview of the global trend...

Detailed investigations of time series features across climates, continents and variable types can progress our understanding and modelling ability of the Earth’s hydroclimate and its dynamics. They can also improve our comprehension of the climate classification systems appearing in their core. Still, such investigations for seasonal hydroclimatic...

Achieving accurate precipitation estimation at high spatial and temporal resolution is critical in hydrology and meteorology, particularly in regions experiencing water resource degradation. Integrating original products of generally coarse-resolution hydrological parameters from multiple satellites is a promising technology for producing massive r...

Study Region: The Thaya river basin provides multiple water uses in the transboundary region of Lower Austria and Southern Moravia. Due to the low precipitation (P) to reference evapotranspiration (ETo) ratio, the Thaya river basin is among the most sensitive to climate change in the region. Study Focus: The main objective is to understand the cha...

The aridity index, also known as the Budyko index, describes spatiotemporal changes in the hydroclimatic system in the long-term perspective. Defined as the ratio between potential evapotranspiration and precipitation, it can be used to determine wet (humid) and dry (arid) regions. In this study, we evaluated the aridity index estimated in differen...

Detailed feature investigations and comparisons across climates, continents and time series types can progress our understanding and modelling ability of the Earth's hydroclimate and its dynamics. As a step towards these important directions, we here propose and extensively apply a multifaceted and engineering-friendly methodological framework for...

The close relationship between the onset and severity of agricultural and hydrological drought is considered self-evident, yet relatively few studies have addressed the effects of applying agricultural drought adaptation to hydrological drought characteristics. The present study applies a model cascade capable of simultaneously considering the inte...

Runoff is a crucial component of the water cycle that contributes to the water resources to sustain human life. In examining climate change scenarios, historical runoff trends provide vital information on past runoff variability and support design of adaptation measures. Climate data-based hydrological models such as the Budyko model are biased in...

Drought is one of the main threats to food security and ecosystem productivity. During the past decades, Europe has experienced a series of droughts that caused substantial socioeconomic losses and environmental impacts. A key question is whether there are some similar characteristics in these droughts, especially when compared to the droughts that...

Several studies have revealed that rainfall and temperature are highly correlated with malaria spread. There are several studies relating the combined effect of hydrological and meteorological information for the malaria diseases 1-4. In this study, attempts are being made for assessing the combined effect of hydro-meteorological variables on malar...

Modelling of hydrological extremes and drought modelling in particular has received much attention over recent decades. The main aim of this study is to apply a statistical model for drought estimation (in this case deficit volume) using extreme value theory and the index-flood method and to reduce the uncertainties in estimation of drought event r...

An appropriate digital elevation model (DEM) is required for purposes of hydrodynamic modelling of floods. Such a DEM describes a river’s bathymetry (bed topography) as well as its surrounding area. Extensive measurements for creating accurate bathymetry are time-consuming and expensive. Mathematical modelling can provide an alternative way for rep...

Pumping test is a fundamental method to determinate aquifer hydraulic parameters. The main evaluated hydraulic parameters are the transmissivity and the aquifer storage coefficient. For estimation of these parameters a semi-logarithmic straight line method is commonly used, which is based on the assumptions of the Theis mathematical model. Neverthe...

Pumping test is a fundamental method to determinate aquifer hydraulic parameters. The main evaluated hydraulic parameters are the transmissivity and the aquifer storage coefficient. For estimation of these parameters a semi-logarithmic straight line method is commonly used, which is based on the assumptions of the Theis mathematical model. Neverthe...

Early 21st-century droughts in Europe have been broadly regarded as exceptionally severe, substantially affecting a wide range of socio-economic sectors. These extreme events were linked mainly to increases in temperature and record-breaking heatwaves that have been influencing Europe since 2000, in combination with a lack of precipitation during t...

In recent years, there has been growing concern about the effect of global warming on water resources, especially at regional and continental scales. The last IPCC report on extremes states that there is medium confidence about an increase on European drought frequency during twentieth century. Here we use the Old World Drought Atlas palaeoclimatic...

Long-term persistence (LTP) of annual river runoff is a topic of ongoing hydrological research, due to its implications to water resources management. Here, we estimate its strength, measured by the Hurst coefficient H, in 696 annual, globally distributed, streamflow records with at least 80 years of data. We use three estimation methods (maximum l...

Characteristics of rainfall events in an ensemble of 23 regional climate model (RCM) simulations are evaluated against observed data in the Czech Republic for the period 1981–2000. Individual rainfall events are identified using the concept of minimum inter-event time (MIT) and only heavy events (15 % of events with the largest event depths) during...

Projected changes of warm season (May–September) rainfall events in an ensemble of 30 regional climate model (RCM) simulations are assessed for the Czech Republic. Individual rainfall events are identified using the concept of minimum inter-event time and only heavy events are considered. The changes of rainfall event characteristics are evaluated...

In the present paper, the rainfall erosivity factor (R factor) for the area of the Czech Republic is assessed. Based on 10 min data for 96 stations and corresponding R factor estimates, a number of spatial interpolation methods are applied and cross-validated. These methods include inverse distance weighting, standard, ordinary, and regression krig...

When evaluating pumping tests on wells, we mostly use methods based on the assumption of an ideal drill hole, i.e. without considering the additional resistors in the well and its surroundings and also neglecting the influence of volume of water in the well (the radius of the borehole is considered to be negligibly small). Additional resistors and...

Characteristics of rainfall events in an ensemble of 23 regional climate model (RCM) simulations are evaluated against observed data in the Czech Republic for the period 1981–2000. Individual rainfall events are identified using the concept of minimum inter-event time (MIT) and only heavy events during the warm season (May–September) are considered...

In the present paper, the rainfall erosivity factor (R-factor) for the area of the Czech Republic is assessed. Based on 10-minute data for 96 stations and corresponding R-factor estimates, a number of spatial interpolation methods are applied and cross-validated. These methods include inverse distance weighting, standard, ordinary and regression kr...

The presented paper compares forecast of drought indices based on two different models of artificial neural networks. The first model is based on feedforward multilayer perceptron, sANN, and the second one is the integrated neural network model, hANN. The analyzed drought indices are the standardized precipitation index (SPI) and the standardized p...

The presented paper provides the analysis of selected versions of the particle swarm optimization (PSO) algorithm. The tested versions of the PSO were combined with the shuffling mechanism, which splits the model population into complexes and performs distributed PSO optimization. One of them is a new proposed PSO modification, APartW, which enhanc...

There are many small water reservoirs (ponds) in the Czech Republic. It is essential to know their real water accumulations which are often affected by various types of sedimentation. There are relatively new techniques how to measure bathymetry. In this study a multi-beam echosounder was used and compared with a telescopic pipe. Both devices were...

The presented paper deals with the comparison of selected random updating strategies of inertia weight in particle swarm optimisation. Six versions of particle swarm optimization were analysed on 28 benchmark functions, prepared for the Special Session on Real-Parameter Single Objective Optimisation at CEC2013. The random components of tested inert...

The presented paper aims to analyze the influence of the selection of transfer function and training algorithms on neural network flood runoff forecast. Nine of the most significant flood events, caused by the extreme rainfall, were selected from 10 years of measurement on small headwater catchment in the Czech Republic, and flood runoff forecast w...

The spatial correlation structure of monthly rainfall was analysed using data from 38 rain gauges located in north-eastern Bohemia. Three different inter-station correlation measures-Pearson's correlation coefficient, Spearman's rank-order correlation coefficient and Kendall's tau rank correlation coefficient-were estimated using monthly rainfall r...

We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysis evaluated nine basic PSO types, which differ according to the swarm evolution as controlled by various inertia weights and constriction factor. Each of the basic PSO modifications was analyzed using three different distributed strategies. In the fi...

An ensemble of fifteen regional climate model (RCM) simulations has been used to estimate the climate change impacts on runoff and several drought characteristics for 250 basins in the Czech Republic. The scenario series of precipitation and temperature have been derived with four simple statistical downscaling methods (SDMs): the delta change and...

This paper focuses on improving rainfall-runoff forecasts by a combination of genetic programming (GP) and basic hydrological modelling concepts. GP is a general optimisation technique for making an automated search of a computer program that solves some particular problem. The SORD! program was developed for the purposes of this study (in the R pr...

Rain event characteristics are assessed in a 10-year (1991–2000) record for 122 stations in the Czech Republic. Individual rain events are identified using the minimum interevent time (mit) concept. For each station, the optimal mit value is estimated by examining the distribution of interevent times. In addition, various mit values are considered...

This paper deals with ways of simulating rain-on-snow events caused by high-intensity, short-duration precipitation. A low-cost rainfall simulator was developed for the purposes of this experiment. This device enables rainfall of varying intensity and duration to be simulated, and automatically monitors some components of the mass and energy balanc...

A Multi-Model Assessment of Climate Change Impact on Hydrological Regime in the Czech Republic In present paper we assess the climate change impact on mean runoff between the periods 1961-1990 (control period) and 2070-2099 (scenario period) in the Czech Republic. Hydrological balance is modelled with a conceptual hydrological model BILAN at 250 ca...

The purpose of presented poster is to introduce the PONS2train developed for runoff prediction via multilayer perceptron - MLP. The software application enables the implementation of 12 different MLP's transfer functions, comparison of 9 local training algorithms and finally the evaluation the MLP performance via 17 selected model evaluation metric...

The rainfall input is one of the main factors influencing the magnitude of the runoff response during a flood event. Its temporal and spatial distribution significantly contributes to the formation of hydrograph shape, peak discharge and flood volume. A novel approach to the evaluation of the role of the temporal rainfall pattern of hydrograph is p...

This contribution deals with neural network approach for short term forecast on small catchments. The applied methodology is based on theory of multilayer perceptron (MLP), feed forward neural network with back propagation optimization procedure was tested in order to explore the possibilities to transfer parameters between different catchments. Su...

After bark beetle calamity in National park Šumava were established three experimental catchments with different forest cover (dead forest, clearing and healthy forest). In these catchments were, in period without snow cover, measured components of rainfall-runoff events. The aim of the research was to estimate a correlation of chosen characteristi...

Precipitation is important input into the hydrological system. With its time and space distribution significantly influences outflow from the catchment. This contribution deals with movement of rainfall events in Prague area. Velocities and directions of storm movement have been estimated on the basis of two years measurement from PVS a.s. rain-gau...

Vyd. 1. Nad názvem: Česká zemědělská univerzita v Praze 100 výt.

170 výt. Na obálce nad názvem: joint conference of APLU and ICA

Název z disku Nad názvem: VÚMOP, ČZU-KVHEM

Vyd. 1. 300 výt. část I. Základní koncepty jednotkového hydrogramu -- část II. Modely jednotkových hydrogramů