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Here we assess the use of geochemical tracers in stream water to identify changes in thaw depth in an arctic watershed.
Fig. 3 Scenario involving rainfall for 3 h and 150-mm accumulated water to identify the high-flood-risk area Fig. 4 On-site water gauges set up at particular locations.
Here we analyse the isotopic (δ18O, δ2H and tritium) compositions of groundwater, precipitation, river and canal water to identify the recharge sources, zones of recharge, and groundwater flow in the Ghaggar River basin, which lies between the Himalayan-fed Yamuna and Sutlej River systems in northwestern India.
Internally, we will partner with colleagues working with government counterparts in sectors such as agriculture, transport, energy, mining and water to identify trade-offs and seek out win-win solutions at a strategic level.
We experimentally used distilled and mineral water to identify the best water for larval rearing.
The chromatogram was developed with spraying of FCR (1 1 in water) to identify the bluish bands having phenolic contents.
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To improve upon this monitoring approach, this study investigated using the water lily (Nymphaea capensis) as a biomonitor of drainage waters to identify hotspots in three acid sulfate soil impacted catchments (83 km2) in north-eastern New South Wales, Australia.
Challenges remain to causally link the occurrence of specific polluting chemicals and chemical mixtures to the quality status of waters, to identify major chemical stressors, to identify emission and transport pathways, and finally to define solutions for the abatement of pollution-related risks and impacts.
The UPLC-MS data of all determined samples were analyzed using the MarkerLynx software (Waters) to identify potential discriminatory chemical markers and allow for the raw and processed DH to be subjected to some measure of quality control.
Similar approaches which apply machine learning methods on resource consumption data (e.g., energy, water) but still not from a Big Data perspective, include the work of Chen et al. [26] who used a kNN classification method and labeled water data to identify water usage.
In water management systems, the inherent uncertainties and their potential interactions pose a significant challenge for water managers to identify optimal water-allocation schemes in a complex and uncertain environment.
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