Ivona Škultétyová

Background: Physically-based, coupled hydrological–low-impact-development (LID) models, such as the U.S. EPA Storm Water Management Model (SWMM), estimate green infrastructure (GI) performance in detail but are computationally expensive to run across many catchment, storm, and typology combinations. Methods: This methodological proof-of-concept develops an open-source R workflow (randomForest, xgboost, caret) on a synthetic dataset of 2000 catchment–storm–typology scenarios generated from prescribed non-linear equations of imperviousness, storm return period, and the coverage of four GI typologies. None of the scenarios were generated by SWMM-LID simulation or field monitoring. Random forest, XGBoost, and a linear baseline were trained to predict synthetic peak-flow attenuation and suspended-solid (TSS) removal. Results: On the held-out synthetic test set, XGBoost and random forest reached R² values of 0.96 and 0.92 for peak-flow attenuation (linear baseline: 0.90) and 0.94 and 0.89 for TSS reduction (linear baseline: 0.79). These values show that the models learned the synthetic response surface; they do not measure predictive skill for real GI systems. Feature importance reproduced the typology weighting embedded in the data-generating equations. Surrogate inference took about 2–4 ms (measured), compared with tens of minutes typically reported in the literature for SWMM-LID runs (not measured here); this is an indicative comparison, not a controlled benchmark. Conclusions: This study is a methodological demonstration only and is not a validated hydrological surrogate. Real application requires retraining and validation using SWMM-LID simulation ensembles or field-monitored data.

One of the main problems is handling rainwater management in urban areas is water quality from urban run-off. Currently, the emphasis is on using rainwater in cities as much as possible. The concentration of pollutants is the most problematic in rainwater. After precipitation falls on surfaces, surface water is immediately contaminated. This pollution must be cleaned or contained and transported to a wastewater treatment plant through the sewer network. Among the primary pollutants that we can identify in surface water are, for example, heavy metals. In our research, we focus on the analysis of real surface waters taken from 13 lo-cations on the territory of the Slovak Republic. The result of the research is an analysis of the suitability of reusing these waters. From the results of the analyses, it is clear that not a single sample is suitable for irrigation, as the limits of at least one monitored parameter were exceeded in all samples. The monitored lead concentration parameter was exceeded in all monitored samples.

Stormwater management is an integral part of the new concept of wastewater disposal from urbanized areas, which includes all system units into a comprehensive, integrated system. This concept, based on sustainable principles, brings environmental and socio-economic benefits. The integrated stormwater management system facilities reduce the load on wastewater treatment plants and receiving water bodies while contributing to the restoration of local ecosystems. In this context, the paper focuses on the possibilities of using life cycle analysis to design specific integrated systems. The aim is to summarize the life cycle assessment studies of stormwater management facilities so that they can be applied in the future as a basis for the design of efficient and sustainable drainage systems in urban areas.

The accelerating global environmental, economic and social impacts of climate change are leading to increasingly severe adverse effects on ecosystems. As current research suggests, the loss of green space due to the urbanization process only exacerbates the adverse effects of climate change. As a result, not only does the surface temperature increase, but they also intensify precipitation in both range and duration. Green roofs, promoted as a strategy to adapt to climate change due to their ability to lower air and surface temperatures, thus providing a certain thermal comfort, are becoming an integral part of future urban life. The aim of this study was therefore to evaluate possible factors affecting their hydrological performance in order to mitigate urban heat islands, based on the processing and comparison of data from other available case studies.

Waste management models began to develop in the second half of the last century when municipal waste production began to grow. At the time, they focused only on

The aim of the study is to assess the hydraulic capacity of the sewer network and sewer collector recovery in the urban catchment area of Trnava.The analysis focuses on the evaluation of situations with different precipitation frequencies. Elaboration consists of modeling the current state of the assessed sewer collector B and subsequent loading of this collector by several block rainfalls. Based on the results of the analysis, the recovery of the sewer network proposed.

In connection with the optimization of operation at the selected Wastewater Treatment Plant (WWTP), it is important to perform an energy audit with an assessment of the use of electricity and the subsequent economic optimization of the equipment of the WWTP. We can perform the energy balance through Life Cycle Assessment (LCA) analysis in relation to EN ISO 140 40 [1].The aim of this study case is the analysis of the energy balance of WWTP. The appraisal was performed on three different interpretation variants of specific electricity consumption. The conclusion is a comparison of variants of quantification of specific electricity consumption.