Proximal remote sensing to quantify plot-scale overland flow connectivity Article Swipe
Chandra Prasad Ghimire
,
Val Snow
,
Stuart Bradley
,
Laura J Grundy
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu2020-11751
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu2020-11751
<p>Irrigation of crops and grazed pastures can lead to harmful losses of nutrients via overland flow across the edge of the field. While good irrigation design can assist with avoiding overland flow, soil surface conditions can change rapidly and lead to surface flow even under well-designed irrigation systems. Therefore, real-time methods to detect emerging flow conditions, early enough to prevent substantial flow from the field during irrigation, is a potential mitigation option. But these methods require a prediction of the initiation of overland flow conditions in order to make the connection with real-time observations.</p><p>On a naturally-rough agricultural soil, triggering of overland flow is primarily related to the process of gradual filling of small (~50 mm across) depressions. As depressions fill, hydraulic connections are established with their neighbours and this eventually leads to sufficient connectivity that overland flow is initiated. The initiation of overland flow generally occurs at a critical value of connectivity (C<sub>OF</sub>); the proportion of the soil surface that is connected via a water-filled pathway to an exit point of the field. As water ponding in, and flowing through, local depressions increases, the C<sub>OF</sub> of the field increases and this leads to flow across the field boundaries. Quantifying the development of C<sub>OF</sub> during an irrigation event, therefore, is key to predicting the initiation of overland flow.</p><p>We propose a method to continuously monitor the development of C<sub>OF</sub> during an irrigation event that requires two elements. The first is a new proximal sensing technique, which exploits acoustic technology to continuously monitor A<sub>sw</sub>, the proportion of the soil surface covered in water. The acoustic method comprises directional acoustic transmitter and receiver arrays. The directionality of the arrays provides a well-defined footprint area on the ground beneath the instrument. The A<sub>sw</sub> can be reliably estimated from changes in the amplitude of reflected sound waves. The second element is a ponding and redistribution model which simulates the flow of water over a rough soil surface and assists by converting A<sub>sw</sub> into C<sub>OF</sub>.</p><p>Our preliminary results show that this real-time method of monitoring C<sub>OF</sub> has a considerable scope in a variety of environments where prediction of overland flow initiation is desirable.</p>
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-egu2020-11751
- OA Status
- gold
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3093622059
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3093622059Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/egusphere-egu2020-11751Digital Object Identifier
- Title
-
Proximal remote sensing to quantify plot-scale overland flow connectivityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-03-09Full publication date if available
- Authors
-
Chandra Prasad Ghimire, Val Snow, Stuart Bradley, Laura J GrundyList of authors in order
- Landing page
-
https://doi.org/10.5194/egusphere-egu2020-11751Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/egusphere-egu2020-11751Direct OA link when available
- Concepts
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Ponding, Surface runoff, Environmental science, Flow (mathematics), Irrigation, Hydrology (agriculture), Water flow, Erosion, Soil science, Geology, Agronomy, Mathematics, Ecology, Geotechnical engineering, Geomorphology, Geometry, Biology, DrainageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2020: 2Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| corresponding_institution_ids | https://openalex.org/I41125697 |
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