Zobrazeno 1 - 10
of 260
pro vyhledávání: '"Peter Krebs"'
Autor:
Wenyu Yang, Ziyong Zhao, Liping Pan, Ruifei Li, Shixue Wu, Pei Hua, Haijun Wang, Britta Schmalz, Peter Krebs, Jin Zhang
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103243- (2024)
Urban flooding poses significant threats to human lives and urban development worldwide, while the impact of climate change on urban flooding remains unclear. To systematically analyze the variabilities of hydrological patterns and urban flooding und
Externí odkaz:
https://doaj.org/article/f70075f3c53b40f28bc8f7ad04417363
Publikováno v:
Water, Vol 16, Iss 6, p 889 (2024)
The European Union Water Framework Directive (2000/60/EC; WFD) aims to achieve a good ecological and chemical status of all bodies of surface water by 2027. The development of integrated guidance on surface water chemical monitoring (e.g., WFD Guidan
Externí odkaz:
https://doaj.org/article/fc7f6ab649b443558c84ac022600b651
Publikováno v:
Water, Vol 16, Iss 3, p 474 (2024)
Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled m
Externí odkaz:
https://doaj.org/article/f69b28b658584e19a270c16158456cfe
Publikováno v:
Communications Earth & Environment, Vol 3, Iss 1, Pp 1-13 (2022)
International trade affects polycyclic aromatic hydrocarbon emissions and their health impacts attributed to different stages of global supply chains, according to a framework of emission inventories and numerical models.
Externí odkaz:
https://doaj.org/article/73a34d4f6c2343c0810ece7d3844a172
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 3, Pp 1204-1224 (2022)
This study proposes the assessment of SWAT model simulations, with the provision of satellite precipitation products (SPPs), in a transboundary/large catchment. Three latest sub-daily/half-hourly (HH) and daily (D) SPPs, i.e., ‘IMERG-E’, ‘IMERG
Externí odkaz:
https://doaj.org/article/9efac96e38c74acaaaf429c66b287a04
Autor:
Markus Ahnert, Thomas Schalk, Heike Brückner, Johannes Effenberger, Volker Kuehn, Peter Krebs
Publikováno v:
Water Science and Technology, Vol 84, Iss 9, Pp 2093-2112 (2021)
This paper includes a comprehensive literature review of sludge composition data from wastewater treatment plants. 722 data sets from 249 sources were used to establish typical ratios between COD and solids-based parameters and to verify rule-of-thum
Externí odkaz:
https://doaj.org/article/e821523aee2d45858a49e08879a9e994
Autor:
Markus Ahnert, Peter Krebs
Publikováno v:
Water Science and Technology, Vol 83, Iss 12, Pp 2841-2862 (2021)
In this paper, the tool of bibliometric analysis is applied to the field of activated sludge modelling and its suitability as a first step of a literature analysis is assessed. The analysis is applied to the total dataset considered as well as a time
Externí odkaz:
https://doaj.org/article/5dcb170da2d54b4c852e413ec27e15f8
Publikováno v:
Water, Vol 15, Iss 11, p 2001 (2023)
Wastewater treatment plants represent relevant point sources of environmental-adverse pharmaceuticals in river systems. Extensive monitoring and substance-routing models are crucial for environmental risk assessment and river planning. However, most
Externí odkaz:
https://doaj.org/article/772ea51784d04fa785cb7453f52c67a3
Autor:
Thomas Schalk, Sara Schubert, Anja Rollberg, Dirk Freitag-Stechl, Annika Schubert, Alan Xavier Elena, Christian Koch, Peter Krebs
Publikováno v:
Water, Vol 15, Iss 8, p 1463 (2023)
Wastewater from factories producing polysulfone-based membranes mainly contains the used organic solvent, i.e., dimethylacetamide (DMAc). Due to the environmental impact of DMAc, wastewater treatment is mandatory. Several biological treatment options
Externí odkaz:
https://doaj.org/article/eff3714d073b4e378f6bac63bd274ff3
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Abstract The occurrence of toxic metals in the aquatic environment is as caused by a variety of contaminations which makes difficulty in the concentration prediction. In this study, conventional methods of back-propagation neural network (BPNN) and n
Externí odkaz:
https://doaj.org/article/c140c50e41a94f9eb263590406608f21