ID:
publications-2704
Type:
Peer reviewed articles
Year:
2016
Authors:
Thomas Grischek, Rico Bartak
Title:
Riverbed Clogging and Sustainability of Riverbank Filtration
Venue/Journal:
Water
DOI:
10.3390/w8120604
Research type:
AI & Machine Learning
Water System:
Precipitation & Ecological Systems
Technical Focus:
Abstract:
Clogging refers to a reduction of riverbed hydraulic conductivity. Due to difficulties in determining the thickness of the clogging layer, the leakage coefficient (L) is introduced and used to quantify the recoverable portion of bank filtrate. L was determined at several riverbank filtration (RBF) sites in field tests and using an analytical solution. Results were compared with data from similar experiments in the early 1970s and 1991ā1993. In the 1980s, severe river water pollution in conjunction with high water abstraction led to partly unsaturated conditions beneath the riverbed. A leakage coefficient L of 5 Ć 10ā7 sā1 was determined. After water quality improvement, L increased to 1ā1.5 Ć 10ā6 sā1. An alternative, cost and time efficient method is presented to estimate accurate leakage coefficients. The analytical solution is based on groundwater level monitoring data from observation wells next to the river, which can later feed into numerical models. The analytical approach was able to reflect long-term changes as well as seasonal variations. Recommendations for its application are given based on experience.
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689450
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