2020
DOI: 10.1002/hyp.13732
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Investigating the impact of artificial environmental watering on a semi‐arid, highly saline floodplain using electromagnetics and surface nuclear magnetic resonance

Abstract: Floodplains have ecological and cultural significance and need to be managed properly. However, floodplains along the River Murray in South Australia are showing a substantial vegetation health decline due to increased salinization. To improve floodplain health, water resource managers are experimenting with the delivery of fresh water to the high priority floodplains. However, the salinity impact of watering on the shallow, saline groundwater is not well understood due to the presence of a spatially variable … Show more

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“…There are still many new opportunities for novel data acquisition to observe and model groundwater trends and responses to climate change and extraction. These include gravimetric and surface deformation analyses with high spatial and temporal coverage (Castellazzi and Schmid 2021), new geophysical methods for estimating groundwater recharge and changes in quality (Li et al 2020(Li et al , 2021 and expansion of soil-moisture sensing data and telemetry (Cooper et al 2021;Soylu and Bras 2021;Tangdamrongsub et al 2020). Integrated groundwater modelling can predict relative data worth and optimal location and frequency for the most valuable data observations.…”
Section: Potential Changes In Climatementioning
confidence: 99%
“…There are still many new opportunities for novel data acquisition to observe and model groundwater trends and responses to climate change and extraction. These include gravimetric and surface deformation analyses with high spatial and temporal coverage (Castellazzi and Schmid 2021), new geophysical methods for estimating groundwater recharge and changes in quality (Li et al 2020(Li et al , 2021 and expansion of soil-moisture sensing data and telemetry (Cooper et al 2021;Soylu and Bras 2021;Tangdamrongsub et al 2020). Integrated groundwater modelling can predict relative data worth and optimal location and frequency for the most valuable data observations.…”
Section: Potential Changes In Climatementioning
confidence: 99%