Providing information on the impacts of climate change on hydrological processes is becoming ever more critical. Modelling and evaluating the expected changes of the water resources over different spatial and time scales can be useful in several fields, e.g. agriculture, forestry and water management. Previously a Budyko-type spatially distributed long-term climate-runoff model was developed for Hungary. This research includes the validation of the model using historical precipitation and streamflow measurements for three nested sub-catchments of the Zala River Basin (Hungary), an essential runoff contributing region to Lake Balaton (the largest shallow lake in Central Europe). The differences between the calculated (from water balance) and the estimated (by the model) mean annual evapotranspiration varied between 0.4% and 3.6% in the validation periods in the sub-catchments examined. Predictions of the main components of the water balance (evapotranspiration and runoff) for the Zala Basin are also presented in this study using precipitation and temperature results of 12 regional climate model simulations (A1B scenario) as input data. According to the projections, the mean annual temperature will be higher from period to period (2011–2040, 2041–2070, 2071–2100), while the change of the annual precipitation sum is not significant. The mean annual evapotranspiration rate is expected to increase slightly during the 21st century, while for runoff a substantial decrease can be anticipated which may exceed 40% by 2071–2100 relative to the reference period (1981–2010). As a result of this predicted reduction, the runoff from the Zala Basin may not be enough to balance the increased evaporation rate of Lake Balaton, transforming it into a closed lake without outflow.
Measuring evaporation and transpiration at the field scale is complicated due to the heterogeneity of the environment, with point measurements requiring upscaling and field measurements such as eddy covariance measuring only the evapotranspiration. During the summer of 2014 an eddy covariance device was used to measure the evapotranspiration of a growing maize field at the HOAL catchment. The stable isotope technique and a Lagrangian near field theory (LNF) were then utilized to partition the evapotranspiration into evaporation and transpiration, using the concentration and isotopic ratio of water vapour within the canopy. The stable isotope estimates of the daily averages of the fraction of evapotranspiration (Ft) ranged from 43.0–88.5%, with an average value of 67.5%, while with the LNF method, Ft was found to range from 52.3–91.5% with an average value of 73.5%. Two different parameterizations for the turbulent statistics were used, with both giving similar R2 values, 0.65 and 0.63 for the Raupach and Leuning parameterizations, with the Raupach version performing slightly better. The stable isotope method demonstrated itself to be a more robust method, returning larger amounts of useable data, however this is limited by the requirement of much more additional data.
Deposition of solid particles in the stormwater sewers reduces the discharging capacity, causing inundation. A sediment invert trap (SIT) is an option that can be installed at the bottom of the stormwater sewer drain to intercept the flowing solid particles. In the present study performance of rectangular SIT were analyzed experimentally and computationally. Variation of particle trapping efficiency of rectangular SIT fitted at the bottom of the open channel flume has been studied under the interpretation of invert trap depth, flow depth, particle size, particle shape, and slot width. To predict the flow field and trap efficiency of a rectangular invert trap, 2D-VOF-DPM-CFD modelling has been carried out using ANSYS Fluent 2020 R1 software. For velocity field determination, the volume of fluid (VOF) model was used along with realizable k-є turbulence model. To predict particle trap efficiency, stochastic discrete phase model (DPM) was utilized. From experimental study and CFD modeling, it has been found that the particle trap efficiency of rectangular invert trap varied with change in the depth of invert trap, sediment size, shape factor, depth of flow and slot width. Consideration of particle shape in terms of shape factor in the modeling of solid-phase through DPM validated the CFD predicted results with those obtained experimentally with mean absolute percent error (MAPE) of 2.68%, 3.99% and 6.6% for sewer solid size ranges SS1, SS2, and SS3 respectively at all flow depths for both slot widths considered in this study.
Detailed data on the long-term performance of bioretention cells (BC) for stormwater management are sparse. This research aimed at setting up and testing an infrastructure that will provide the data on hydrologic and chemical performance of BC. Two identical experimental BC’s were built. The monitoring methodology monitoring was developed and tested during a first growing season with the first BC supplied with natural rainfall, while the second BC was used for ponding experiments. Key layer of the BCs, a biofilter, was composed of sand, compost and topsoil. Both BCs are equipped with sensors monitoring the components of water balance and the water potential of the biofilter. High levels of total suspended solids were detected in the outflow. The runoff coefficient for the entire period of the growing season was 0.72 in the first BC and 0.86 in the second BC, while the peak outflow reduction for individual rainfall episodes ranged between 75% to 95% for the first BC and 19% to 30% for the second BC. Saturated hydraulic conductivity of the biofilter in the first BC decreased by two orders of magnitudes after the first year of operation. Retention curves of the biofilter changed due to material consolidation.
Below-average precipitation and above-average air temperature are important factors in the occurrence and intensity of drought. In the context of global climate change, air temperature increase, as a key climatological parameter, has to be considered when calculating the drought index. We introduce a new method of drought analysis, relying on standardized values of precipitation and mean air temperatures for a certain period. The standardized value is calculated by subtracting the average value for each period from each measured value and dividing the obtained value by the standard deviation of the sample. Next, the New Drought Index (NDI) is calculated by subtracting the standardized temperature value from the standardized precipitation value. NDI values were determined for the monthly and annual precipitation time series and mean monthly and annual air temperatures measured at the stations Split-Marjan and Zagreb-Grič between 1948 and 2020. The NDI indicates that the risk of drought has intensified significantly in recent decades, which may be related to the effect of global warming.
Objectives. The main aim of this study was to qualitatively explore the general population’s understanding of forgiveness with regard to its definition, factors, and effects. The special focus of the study was on comparing the views on forgiveness by two generations, young adults, and seniors. Participants and setting. Semi-structured interviews were done with 20 participants from two age groups: ten young adults aged 21 to 29 years (M = 23.4, SD = 2.79) and ten seniors aged 61 to 68 years (M = 64, SD = 2.47). Research questions. Research questions were focused on examining how laypersons conceptualize forgiveness; notably, how they view the factors and effects of forgiveness. It was also explored whether there are any specifics and differences in the views on forgiveness between young adults and seniors. Data analysis. The data obtained from semi-structured interviews were analyzed by Consensual Qualitative Research (Hill et al., 2005). Results. For most individuals in both generations, the basis of forgiveness was letting go of anger and pain. The most significant factor positively related to forgiveness was an apology and admitting the mistake. The most noteworthy negative factor was the depth of the hurt. Individuals perceive positive consequences of forgiveness, especially on their mental health and strengthening their relationships. It seems that young adults perceive forgiveness more as an interpersonal process, while seniors perceive it more as an internal process of an individual. Study limitations. The use of qualitative methodology and the sample size limit the generalization of the findings and comparing two samples at the level of statistical significance. Participants may have had various experiences dealing with hurt and forgiveness throughout their lives which could have influenced their views on forgiveness. Implications. Gaining a deeper understanding of how young adults and seniors understand forgiveness and its effects, what they perceive as helpful or blocking in their forgiving, can help counselors and therapists to improve their interventions aimed at promoting forgiveness., Ciele. Hlavným cieľom štúdie bola kvalitatívna analýza vnímania odpustenia u laickej populácie s ohľadom na jeho definíciu, faktory a dôsledky odpustenia. Vedľajším cieľom štúdie bolo porovnanie názorov na odpustenie u dvoch generácií, mladých dospelých a seniorov.Metóda. 20 participantov dvoch vekových skupín, desať mladých dospelých vo veku 21 až 29 rokov (M = 23,4, SD = 2,79) a desať seniorov vo veku 61 až 68 rokov (M = 64, SD = 2,47) absolvovali pološtrukturované rozhovory. Výskumné otázky. Výskumné otázky boli zamerané na vnímanie odpustenia u laickej po-pulácie; špecificky na vnímanie faktorov a dôsledkov odpustenia. Skúmané boli špecifiká a rozdiely v nazeraní na odpustenie u mladých dospelých a seniorov. Analýza dát. Dáta z pološtrukturovaných rozhovorov boli analyzované pomocou Konsenzuálneho kvalitatívneho výskumu (Hill et al., 2005). Výsledky. Pre väčšinu jednotlivcov oboch generácií bolo základom odpustenia pustenie hnevu a bolesti. Najdôležitejším faktorom pozitívne súvisiacim s odpustením bolo ospravedlnenie a priznanie chyby. Najvýznamnejším blokujúcim faktorom odpustenia bola hĺbka zranenia. Jednotlivci popisovali pozitívne dôsledky odpustenia, predovšetkých na ich psychické zdravie a posilnenie vzťahov. Zdá sa, že mladí dospelí vnímajú odpustenie viac ako interpersonálny proces, kým seniori ho vnímajú viac ako interný proces jednotlivca. Limitácie. Použitie kvalitatívnej metodológie a veľkosť výskumného súboru neumožňujú zovšeobecnenie výsledkov alebo porovnanie dvoch skupín na úrovni štatistickej signifikancie. Participanti mohli mať rôzne skúseností so zraneniami a odpustením v priebehu života, čo mohlo ovplyvniť ich postoje k odpusteniu. Implikácie. Získanie bližšieho porozumenia tomu, ako mladí dospelí a seniori koncipujú odpustenie, čo vnímajú ako nápomocné a rizikové v odpustení a ako popisujú jeho dôsledky, môže pomôcť poradcom a terapeutom k zlepšeniu intervencií zameraných na podporu odpustenia., Lucia Záhorcová, Božena Zelenáková., and Obsahuje bibliografické odkazy
Flash flood events are common in the Mediterranean basin, because of a combination of rugged coastal topography and climatological characteristics. The Balearic Islands are a flood-prone region with the research area, Sóller (Mallorca) being no exception. Between 1900 and 2000, Sóller experienced 48 flash floods with 17 categorised as catastrophic. In Sóller, the local surface water network comprises ephemeral streams. These are natural water networks that only carry water during periods of intense rainfall. Using the available evidence from the 1974 flash flood, this research used Flood Modeller to simulate the event. The research developed a one-dimensional (1D) and a onedimensional two-dimensional (1D-2D) model that assisted in the understanding of the behaviour of the ephemeral stream during the flood. Analysis of hydraulic parameters such as water flow, depth and velocity provided an appreciation of the interaction between the channel and floodplain. Model development aims to forecast the impending impacts of climate change and urbanisation. The results suggest that the characteristics of Sóller’s catchment area naturally encourage flash flooding and hence can be deemed a flashy catchment. The model demonstrates that the interaction between the channel and floodplain relies heavily on surface roughness of both areas. The model proves that if flood intensity increases with climate change, the extent of flooding and consequently the damage will become more severe.
General weather conditions may have a strong influence on the individual elements of the hydrological cycle, an important part of which is rainfall interception. The influence of general weather conditions on this process was analysed, evaluating separately the influence of various variables on throughfall, stemflow, and rainfall interception for a wet (2014), a dry (2015), and an average (2016) year. The analysed data were measured for the case of birch and pine trees at a study site in the city of Ljubljana, Slovenia. The relationship between the components of rainfall partitioning and the influential variables for the selected years was estimated using two statistical models, namely boosted regression trees and random forest. The results of both implemented models complemented each other well, as both indicated the rainfall amount and the number of raindrops as the most influential variables. During the wet year 2014 rainfall duration seems to play an important role, correlating with the previously observed influence of the variables during the wetter leafless period. Similarly, during the dry year 2015, rainfall intensity had a significant influence on rainfall partitioning by the birch tree, again corresponding to the influences observed during the drier leafed period.
The Loess Plateau is the main source of water in Yellow River, China. After 1980s, the Yellow river water presented a significant reduction, what caused the decrease of the Yellow river discharge had been debated in academic circles. We proceeded with runoff generation mechanisms to explain this phenomenon. We built saturation excess runoff and infiltration excess runoff generation mechanisms for rainfall–runoff simulation in Jingle sub-basin of Fen River basin on the Loess Plateau, to reveal the influence of land use change on flood processes and studied the changes of model parameters under different underlying conditions. The results showed that the runoff generation mechanism was mainly infiltration-excess overland flow, but the flood events of saturation-excess overland flow had an increasing trend because of land use cover change (the increase of forestland and grassland areas and the reduction of cultivated land). Some of the model parameters had physical significances，such as water storage capacity (WM), infiltration capacity (f), evapotranspiration (CKE), soil permeability coefficient (k) and index of storage capacity distribution curve (n) showed increasing trends, and index of infiltration capacity distribution curve (m) showed a decreasing trend. The above results proved the changes of runoff generation mechanism from the perspective of model parameters in Jingle sub-basin, which can provide a new perspective for understanding the discharge reduction in the Yellow River basin.
In this paper, the risk zone mapping of declining lowland forests belonging to „Morović“, management unit „Varadin-Županja“ (northern Serbia) is performed using geostatistics analysis. Based on the monitoring of groundwater level, the Kriging method has been performed for the spatial distribution of groundwater level for a multiyear period (2010–2013) – reference level and characteristic levels for the wettest and the driest year during the analyzed period. Risk assessment was determined by the variance of characteristics compared to reference levels. Then, multi-criteria decision analysis methods (AHP, PROMETHEE II) were applied to define the rank of each department (smaller forest management units) located in the research area. These analyses are very important because they enable to locate of the area with a high risk of forest decline and to rank departments using criteria: deviation from water level recorded during dry periods, species demand for water, conservation status and purpose of the unit (seed stands or technical wood). The proposed methodology is usable for the determination of the primary localities for the application of management measures conducting on the level of lower planned units (departments) and thus lead to the successful planning and more efficient forest management. Obtained results at the researched area showed that a negative influence on the watering regime has groundwater level decreasing compared to the reference level because it directly affects available water for the plants. Based on multicriteria analysis methods, it was deduced that the most endangered parts are located at the edge, while this risk is much lower in the central part of the management unit. A combination of applied methods (geostatistics and multicriteria analysis) is of great importance for forestry management.