Exceptionally
low river flows are predicted to become more frequent
and more severe across many global regions as a consequence of climate
change. Investigations of trace metal transport dynamics across streamflows
reveal stark changes in water chemistry, metal transformation processes,
and remediation effectiveness under exceptionally low-flow conditions.
High spatial resolution hydrological and water quality datasets indicate
that metal-rich groundwater will exert a greater control on stream
water chemistry and metal concentrations because of climate change.
This is because the proportion of stream water sourced from mined
areas and mineralized strata will increase under predicted future
low-flow scenarios (from 25% under Q45 flow to 66% under Q99 flow
in this study). However, mineral speciation modelling indicates that
changes in stream pH and hydraulic conditions at low flow will decrease
aqueous metal transport and increase sediment metal concentrations
by enhancing metal sorption directly to streambed sediments. Solute
transport modelling further demonstrates how increases in the importance
of metal-rich diffuse groundwater sources at low flow could minimize
the benefits of point source metal contamination treatment. Understanding
metal transport dynamics under exceptionally low flows, as well as
under high flows, is crucial to evaluate ecosystem service provision
and remediation effectiveness in watersheds under future climate change
scenarios.
Thousands of pollutants are threatening our water supply, putting at risk human and environmental health. Between them, trace metals are of significant concern, due to their high toxicity at low concentrations. Abandoned mining areas are globally one of the major sources of toxic metals. Nowadays, no method can guarantee an immediate response for quantifying these pollutants. In this work, a novel technique based on microwave spectroscopy and planar sensors for in situ real-time monitoring of water quality is described. The sensors were developed to directly probe water samples, and in situ trial measurements were performed in freshwater in four polluted mining areas in the UK. Planar microwave sensors were able detect the water pollution level with an immediate response specifically depicted at three resonant peaks in the GHz range. To the authors’ best knowledge, this is the first time that planar microwave sensors were tested in situ, demonstrating the ability to use this method for classifying more and less polluted water using a multiple-peak approach.
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