Artykuły w tematyce odprowadzania wód opadowych:
Pochwat K.
Assessment of forced retention efficiency in stormwater drainage systems, (2024) Journal of Environmental Management, 370, art. no. 122886, DOI: 10.1016/j.jenvman.2024.122886
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206176550&doi=10.1016%2fj.jenvman.2024.122886&partnerID=40&md5=269001166a7a73e3ff3a11777d324458
Pochwat K.
Assessment of Rainwater Retention Efficiency in Urban Drainage Systems—Model Studies, (2022) Resources, 11 (2), art. no. 14, DOI: 10.3390/resources11020014
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124129929&doi=10.3390%2fresources11020014&partnerID=40&md5=71726696fe07639761d05e979cc46e84
Pochwat K., Pizzo H.
Analysis of the Hydraulic Efficiency of a Steerable Detention Tank—Simulation Studies, (2022) Hydrology, 9 (12), art. no. 217, DOI: 10.3390/hydrology9120217
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144700113&doi=10.3390%2fhydrology9120217&partnerID=40&md5=e575e370a0b8c3dde9d92ea8131a489e
Pochwat K.B., Słyś D.
Application of artificial neural networks in the dimensioning of retention reservoirs, (2018) Ecological Chemistry and Engineering S, 25 (4), pp. 605 - 617, DOI: 10.1515/eces-2018-0040
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060403120&doi=10.1515%2feces-2018-0040&partnerID=40&md5=f254ad4ab6cbbc282d92cc9600f101b9
Pochwat K., Iličić K.
A simplified dimensioning method for high-efficiency retention tanks, (2018) E3S Web of Conferences, 45, art. no. 00065, DOI: 10.1051/e3sconf/20184500065
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056563040&doi=10.1051%2fe3sconf%2f20184500065&partnerID=40&md5=6fc78e9da1ba2818b0f08538d71f3a7b
Pochwat K.
The use of artificial neural networks for analyzing the sensitivity of a retention tank, (2018) E3S Web of Conferences, 45, art. no. 00066, DOI: 10.1051/e3sconf/20184500066
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056533306&doi=10.1051%2fe3sconf%2f20184500066&partnerID=40&md5=2595e014bc14106ca046257f88a52d94
Pochwat K., Słyś D., Kordana S.
The temporal variability of a rainfall synthetic hyetograph for the dimensioning of stormwater retention tanks in small urban catchments, (2017) Journal of Hydrology, 549, pp. 501 - 511, DOI: 10.1016/j.jhydrol.2017.04.026
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018516372&doi=10.1016%2fj.jhydrol.2017.04.026&partnerID=40&md5=ea0abb20f4bfce3c2217c402931cf3fe
Pochwat K.
Hydraulic analysis of functioning of the drainage channel with increased retention capacity, (2017) E3S Web of Conferences, 17, art. no. 00075, DOI: 10.1051/e3sconf/20171700075
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020270105&doi=10.1051%2fe3sconf%2f20171700075&partnerID=40&md5=cb6031a0380b28e1db5553af562499b4
Pozostałe artykuły:
Kida M., Pochwat K., Ziembowicz S.
Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation, (2024) Journal of Hazardous Materials, 461, art. no. 132565, DOI: 10.1016/j.jhazmat.2023.132565
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174074212&doi=10.1016%2fj.jhazmat.2023.132565&partnerID=40&md5=db16c4c536c33fd507b61123c59cedae
Kida M., Musiał M., Pochwat K., Ziembowicz S., Koszelnik P., Strojny W., Pizzo H., Bodog M.
Modeling of microplastics degradation in aquatic environments using an experimental plan, (2024) Journal of Hazardous Materials, 471, art. no. 134396, DOI: 10.1016/j.jhazmat.2024.134396
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191244497&doi=10.1016%2fj.jhazmat.2024.134396&partnerID=40&md5=653c49a3ba53aa3dfb36c682818007ab
Kida M., Pochwat K., Ziembowicz S., Pizzo H.
The use of artificial neural networks in modelling migration pollutants from the degradation of microplastics, (2023) Science of the Total Environment, 904, art. no. 166856, DOI: 10.1016/j.scitotenv.2023.166856
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170646062&doi=10.1016%2fj.scitotenv.2023.166856&partnerID=40&md5=491adfedcd043f353e77cf0ecc287738
Kida M., Ziembowicz S., Pochwat K., Koszelnik P.
Experimental and computational hazard prediction associated with reuse of recycled car tire material, (2022) Journal of Hazardous Materials, 438, art. no. 129489, DOI: 10.1016/j.jhazmat.2022.129489
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133292337&doi=10.1016%2fj.jhazmat.2022.129489&partnerID=40&md5=796d32184b8c9dcad6a8d41b008fa112
Pochwat K., Kordana-Obuch S., Starzec M., Piotrowska B.
Financial analysis of the use of two horizontal drain water heat recovery units, (2020) Energies, 13 (15), art. no. 4113
DOI: 10.3390/en13164113, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090047372&doi=10.3390%2fen13164113&partnerID=40&md5=b856cd516f91c7a56503d9f677d4a5b9
Słyś D., Pochwat K., Czarniecki D.
An analysis of waste heat recovery fromwastewater on livestock and agriculture farms, (2020) Resources, 9 (1), art. no. 3, DOI: 10.3390/resources9010003
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078826153&doi=10.3390%2fresources9010003&partnerID=40&md5=594d825c8d2cfd3deb7828faf9f126ea
Pochwat K., Kordana S., Starzec M., Słyś D.
Comparison of two-prototype near-horizontal Drain Water Heat Recovery units on the basis of effectiveness, (2019) Energy, 173, pp. 1196 - 1207, DOI: 10.1016/j.energy.2019.02.113
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062088484&doi=10.1016%2fj.energy.2019.02.113&partnerID=40&md5=d7a00a67cf369905436d6f248ca78694
Kordana S., Pochwat K., Słyś D., Starzec M.
Opportunities and threats of implementing drain water heat recovery units in Poland, (2019) Resources, 8 (2), art. no. 88, DOI: 10.3390/resources8020088
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065586183&doi=10.3390%2fresources8020088&partnerID=40&md5=cb02459238224177fe48151918788b0f
Pochwat K., Kida M., Ziembowicz S., Koszelnik P.
Odours in sewerage—a description of emissions and of technical abatement measures, (2019) Environments - MDPI, 6 (8), art. no. 89, DOI: 10.3390/environments6080089
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070901430&doi=10.3390%2fenvironments6080089&partnerID=40&md5=077a272c57bf4e8b0a3429e889f9fe59
