Exploring Streamwater Mixing Dynamics via Handheld Thermal Infrared Imagery

Antonelli, Marta; Klaus, Julian; Smettem, K.R.J.; Teuling, Adriaan J.; Pfister, Laurent

doi:10.3390/w9050358

Cited by 7 publications

(8 citation statements)

References 49 publications

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“…The measured cross-section partly extended across a confluence with the Koulbich in order to test the sensor response to channel mixing at this location. The site is within the confluence mixing location reported in a related study [23].…”

Section: Field Sites and Experimental Setupmentioning

confidence: 98%

New Potentiometric Wireless Chloride Sensors Provide High Resolution Information on Chemical Transport Processes in Streams

Smettem

Klaus

Harris

et al. 2017

Water

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Abstract:Quantifying the travel times, pathways, and dispersion of solutes moving through stream environments is critical for understanding the biogeochemical cycling processes that control ecosystem functioning. Validation of stream solute transport and exchange process models requires data obtained from in-stream measurement of chemical concentration changes through time. This can be expensive and time consuming, leading to a need for cheap distributed sensor arrays that respond instantly and record chemical transport at points of interest on timescales of seconds. To meet this need we apply new, low-cost (in the order of a euro per sensor) potentiometric chloride sensors used in a distributed array to obtain data with high spatial and temporal resolution. The application here is to monitoring in-stream hydrodynamic transport and dispersive mixing of an injected chemical, in this case NaCl. We present data obtained from the distributed sensor array under baseflow conditions for stream reaches in Luxembourg and Western Australia. The reaches were selected to provide a range of increasingly complex in-channel flow patterns. Mid-channel sensor results are comparable to data obtained from more expensive electrical conductivity meters, but simultaneous acquisition of tracer data at several positions across the channel allows far greater spatial resolution of hydrodynamic mixing processes and identification of chemical 'dead zones' in the study reaches.

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Section: Field Sites and Experimental Setupmentioning

confidence: 98%

New Potentiometric Wireless Chloride Sensors Provide High Resolution Information on Chemical Transport Processes in Streams

Smettem

Klaus

Harris

et al. 2017

Water

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“…Nonetheless, in case of clear sky or cold winter days we occasionally observed negative temperatures for flowing water. The explanations for these observations stay purely speculative (Antonelli et al, 2017). However, for the identification of surface saturation patterns such unrealistic temperatures do not pose a problem since the temperature range stays correct (Antonelli et al, 2017).…”

Section: 3)mentioning

confidence: 99%

“…2e) and image vignetting (cf. aura effect in Antonelli et al, 2017) can occur during the image acquisition and can compromise a further use of the TIR images. In this study, the image vignetting was unproblematic, especially in case a panorama was built from several images (cf.…”

Section: 3)mentioning

confidence: 99%

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Technical note: Mapping surface saturation dynamics with thermal infrared imagery

Glaser¹,

Antonelli²,

Chini³

et al. 2018

Preprint

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Abstract. In this study we assess the practicability of applying thermal infrared (TIR) imagery for mapping surface saturation dynamics. The advantage of TIR imagery compared to other surface saturation mapping methods is its large spatial and temporal flexibility combined with a non-invasive and intuitive character. Based on an 18-month field campaign, we review and discuss the methodological principles, under which conditions the method works best and what problems may occur. These considerations enable to plan efficient TIR imagery mapping campaigns and to benefit from the full potential offered by TIR imagery, which we demonstrate with several application examples. In addition, we elaborate on image post-processing and test different methods for the generation of binary saturation maps from the TIR images. The method testing is performed on various images with different image characteristics. Results show that the best method in addition to a manual image classification is a statistical-based approach that combines distribution fitting of two pixel classes, adaptive thresholding and region growing.

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“…Alaaho et al, 2015;Briggs et al, 2016;Schuetz and Weiler, 2011) or water flow paths, velocities, and mixing (e.g. Antonelli et al, 2017;Deitchman and Loheide, 2009;Schuetz et al, 2012). However, applications of TIR imagery for mapping surface saturation are rare.…”

Section: Introductionmentioning

confidence: 99%

Tracing hydrological connectivity

Antonelli¹

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When investigating fundamental hydrological functions of catchments (i.e. collection, storage and release of water and matter), the spatial and temporal variability of hydrological connectivity is a key element (Black, 1997). Introduced in hydrology in the early 1980s by Burt & Gadiner (1982), the concept of hydrological connectivity has only recently attracted the attention of the scientific community. Over the past two decades, hydrological connectivity has become an important conceptual framework within which the spatial and temporal variability of streamflow generation and sediment transport can be conceptualised from a holistic perspective, considering the structural and functional connectivity between the Chapter structures and connectivity pathways (Cammeraat, 2002;Wohl et al., 2019). Failure in assessing these heterogeneities may lead to erroneous process conceptualisation and discrepancies between processes observed at smaller scales and responses that may occur at larger scales (Ward and Packman, 2019). Assessing system heterogeneities is also particularly important for restoration purposes (Ward and Packman, 2019;Wohl et al., 2019), since the management of systems' hydrological (and ecological) functions should account for this variability to be properly implemented.Recently, Wohl et al. (2019) and Blöschl et al. (2019) have highlighted the need to consider hydrological systems as borderless, in a way that the transition zones (or interfaces) between different landscape elements should be characterised for their own processes and fluxes to have a better perception of where and when connectivity may take place. Similarly, Krause et al. ( 2017) stressed the importance of system interfaces as "hot spots of ecological, biogeochemical and hydrological processes" arguing that an improved understanding of large-scale landscape interactions will only be possible once interface processes would be incorporated in system conceptualisation. Advancing hydrological connectivity understanding through interdisciplinary approachesWhen investigating hydrological systems connectivity, it is fundamental to consider the ecological and geomorphic components of the landscape and the way they interact with the hydrological components. In this sense, research on hydrological connectivity intrinsically requires a certain level of interdisciplinarity (i.e. incorporating knowledge and techniques from different disciplines) (Paton et al., 2019;Turnbull et al., 2018). During the last decade, several authors have emphasised the importance of interdisciplinary approaches -and of improving the dialogue between hydrologists and specialists of different disciplines -in order to further advance our understanding of hydrological connectivity (Cooper, 2010;Smith et al., 2019;Wainwright et al., 2011). More specifically, Wainwright et al. (2011) suggested that we should focus on developing new interdisciplinary approaches able to obtain information about the system's structure (spatial variability) and functions (both spatial and temporal va...

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Exploring Streamwater Mixing Dynamics via Handheld Thermal Infrared Imagery

Cited by 7 publications

References 49 publications

New Potentiometric Wireless Chloride Sensors Provide High Resolution Information on Chemical Transport Processes in Streams

New Potentiometric Wireless Chloride Sensors Provide High Resolution Information on Chemical Transport Processes in Streams

Technical note: Mapping surface saturation dynamics with thermal infrared imagery

Tracing hydrological connectivity

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