| The temporal variability of a rainfall synthetic hyetograph for the dimensioning of stormwater retention tanks in small urban catchments K Pochwat, D Słyś, S Kordana Journal of Hydrology 549, 501-511, 2017 | 70 | 2017 |
| Odours in sewerage—A description of emissions and of technical abatement measures K Pochwat, M Kida, S Ziembowicz, P Koszelnik Environments 6 (8), 89, 2019 | 34 | 2019 |
| Opportunities and threats of implementing drain water heat recovery units in Poland S Kordana, K Pochwat, D Słyś, M Starzec Resources 8 (2), 88, 2019 | 32 | 2019 |
| Comparison of two-prototype near-horizontal Drain Water Heat Recovery units on the basis of effectiveness K Pochwat, S Kordana, M Starzec, D Słyś Energy 173, 1196-1207, 2019 | 28 | 2019 |
| Hydraulic analysis of functioning of the drainage channel with increased retention capacity K Pochwat E3S web of conferences 17, 00075, 2017 | 28 | 2017 |
| Dimensioning of required volumes of interconnected detention tanks taking into account the direction and speed of rain movement M Starzec, J Dziopak, D Słyś, K Pochwat, S Kordana Water 10 (12), 1826, 2018 | 26 | 2018 |
| Critical analysis of the current state of knowledge in the field of waste heat recovery in sewage systems B Piotrowska, D Słyś, S Kordana-Obuch, K Pochwat Resources 9 (6), 72, 2020 | 18 | 2020 |
| An Analysis of Waste Heat Recovery from Wastewater on Livestock and Agriculture Farms D Słyś, K Pochwat, D Czarniecki Resources 9 (1), 3, 2020 | 17 | 2020 |
| Financial analysis of the use of two horizontal drain water heat recovery units K Pochwat, S Kordana-Obuch, M Starzec, B Piotrowska Energies 13 (16), 4113, 2020 | 14 | 2020 |
| Application of artificial neural networks in the dimensioning of retention reservoirs KB Pochwat, D Słyś Ecological Chemistry and Engineering S 25 (4), 605-617, 2018 | 13 | 2018 |
| Experimental and computational hazard prediction associated with reuse of recycled car tire material M Kida, S Ziembowicz, K Pochwat, P Koszelnik Journal of Hazardous Materials 438, 129489, 2022 | 12 | 2022 |
| The use of artificial neural networks for analyzing the sensitivity of a retention tank K Pochwat E3S Web of Conferences 45, 00066, 2018 | 12 | 2018 |
| A simplified dimensioning method for high-efficiency retention tanks K Pochwat, K Iličić E3S Web of Conferences 45, 00065, 2018 | 10 | 2018 |
| Assessment of rainwater retention efficiency in urban drainage systems—model studies K Pochwat Resources 11 (2), 14, 2022 | 8 | 2022 |
| Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation M Kida, K Pochwat, S Ziembowicz Journal of Hazardous Materials 461, 132565, 2024 | 6 | 2024 |
| Analiza opadów na potrzeby wymiarowania sieci i zbiorników retencyjnych w kanalizacji K Pochwat, D Słyś, J Dziopak Gaz, Woda i Technika Sanitarna, 2013 | 4 | 2013 |
| Multimediala sieć komunalna K Pochwat, D Słyś, J Dzopak | 3* | 2013 |
| Dziopak J K Pochwat Zbiornik retencyjny z systemem grawitacyjnego płukania jako alternatywa dla …, 2012 | 3 | 2012 |
| Analysis of the Hydraulic Efficiency of a Steerable Detention Tank—Simulation Studies K Pochwat, H Pizzo Hydrology 9 (12), 217, 2022 | 2 | 2022 |
| Ocena racjonalności zastosowania systemu odzysku ciepła ze ścieków szarych z wykorzystaniem analizy SWOT S Kordana, K Pochwat, D Słyś Proceedings of ECOpole 11 (1), 175-184, 2017 | 2 | 2017 |
