FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2907901412> ?p ?o ?g. }

• W2907901412 endingPage "374" @default.
• W2907901412 startingPage "364" @default.
• W2907901412 abstract "Stream temperature is a measure of water quality that reflects the balance of atmospheric heat exchange at the air-water interface and gains or losses of water along a stream reach. In urban areas, stormwater sewers deliver water with varying magnitude and temperature to streams at variable timescales. Understanding the impacts of stormwater through space and time is therefore difficult to do with conventional approaches like in situ sensors. To study the impacts of stormwater on creek water temperatures, we combined in situ water temperature observations with thermal infrared (TIR) imagery collected via unoccupied aerial vehicle (UAV). Imagery was collected in May, June, and July of 2017. As ongoing work with UAV-based TIR suggests that this imagery is prone to poor accuracy, we focused on creating several data products beyond absolute water temperatures that can be used to assess temporal and spatial water temperature variations. In particular, TIR data products were used to extract the length of the observed stormwater plume as well as the width of the creek cross-section impacted by stormwater. From these values, we conclude that relatively narrow stormwater plumes affecting a small fraction of creek width can alter creek water temperatures for considerable distances downstream. We also applied TIR data to constrain results of a deterministic stream temperature model (HFLUX 3.0) that simulates the physical processes affecting stream heat exchanges. Stormwater plume lengths obtained from TIR imagery were used to refine spatially-distributed simulations, demonstrating that relative temperature information obtained from UAV imagery can provide useful calibration targets for stream temperature models. Overall, our work demonstrates the added value of UAV datasets for understanding urban stream temperatures, calibrating water quality models, and for modeling and monitoring of the impact of spatially explicit hydrologic processes on stream temperature." @default.
• W2907901412 created "2019-01-11" @default.
• W2907901412 creator A5006904826 @default.
• W2907901412 creator A5026905926 @default.
• W2907901412 creator A5036893263 @default.
• W2907901412 creator A5058850755 @default.
• W2907901412 date "2019-04-01" @default.
• W2907901412 modified "2023-10-12" @default.
• W2907901412 title "Relative information from thermal infrared imagery via unoccupied aerial vehicle informs simulations and spatially-distributed assessments of stream temperature" @default.
• W2907901412 cites W130843456 @default.
• W2907901412 cites W1532987314 @default.
• W2907901412 cites W1550472510 @default.
• W2907901412 cites W1574420886 @default.
• W2907901412 cites W1860093990 @default.
• W2907901412 cites W1870876272 @default.
• W2907901412 cites W1969969700 @default.
• W2907901412 cites W1977335534 @default.
• W2907901412 cites W1979583227 @default.
• W2907901412 cites W1988095411 @default.
• W2907901412 cites W1989224632 @default.
• W2907901412 cites W1999303201 @default.
• W2907901412 cites W2002680866 @default.
• W2907901412 cites W2003880856 @default.
• W2907901412 cites W2004235194 @default.
• W2907901412 cites W2015090693 @default.
• W2907901412 cites W2017748107 @default.
• W2907901412 cites W2020547305 @default.
• W2907901412 cites W2022614088 @default.
• W2907901412 cites W2024863958 @default.
• W2907901412 cites W2035951169 @default.
• W2907901412 cites W2042435581 @default.
• W2907901412 cites W2054547735 @default.
• W2907901412 cites W2060696711 @default.
• W2907901412 cites W2069529316 @default.
• W2907901412 cites W2077623913 @default.
• W2907901412 cites W2079786969 @default.
• W2907901412 cites W2083572867 @default.
• W2907901412 cites W2091610578 @default.
• W2907901412 cites W2098430097 @default.
• W2907901412 cites W2099540864 @default.
• W2907901412 cites W2112568877 @default.
• W2907901412 cites W2115010630 @default.
• W2907901412 cites W2117665309 @default.
• W2907901412 cites W2121454185 @default.
• W2907901412 cites W2121740907 @default.
• W2907901412 cites W2135965610 @default.
• W2907901412 cites W2140861556 @default.
• W2907901412 cites W2145635192 @default.
• W2907901412 cites W2152469935 @default.
• W2907901412 cites W2168313526 @default.
• W2907901412 cites W2170690812 @default.
• W2907901412 cites W2255050781 @default.
• W2907901412 cites W2323070724 @default.
• W2907901412 cites W2432155914 @default.
• W2907901412 cites W2488894043 @default.
• W2907901412 cites W2529405934 @default.
• W2907901412 cites W2591742744 @default.
• W2907901412 cites W2623845233 @default.
• W2907901412 cites W2769519862 @default.
• W2907901412 cites W2771567579 @default.
• W2907901412 cites W2790534768 @default.
• W2907901412 cites W2803380893 @default.
• W2907901412 cites W2804552028 @default.
• W2907901412 cites W2807406026 @default.
• W2907901412 cites W2883919672 @default.
• W2907901412 cites W2910237538 @default.
• W2907901412 cites W4251656773 @default.
• W2907901412 doi "https://doi.org/10.1016/j.scitotenv.2018.12.457" @default.
• W2907901412 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30677682" @default.
• W2907901412 hasPublicationYear "2019" @default.
• W2907901412 type Work @default.
• W2907901412 sameAs 2907901412 @default.
• W2907901412 citedByCount "19" @default.
• W2907901412 countsByYear W29079014122019 @default.
• W2907901412 countsByYear W29079014122020 @default.
• W2907901412 countsByYear W29079014122021 @default.
• W2907901412 countsByYear W29079014122022 @default.
• W2907901412 countsByYear W29079014122023 @default.
• W2907901412 crossrefType "journal-article" @default.
• W2907901412 hasAuthorship W2907901412A5006904826 @default.
• W2907901412 hasAuthorship W2907901412A5026905926 @default.
• W2907901412 hasAuthorship W2907901412A5036893263 @default.
• W2907901412 hasAuthorship W2907901412A5058850755 @default.
• W2907901412 hasBestOaLocation W29079014121 @default.
• W2907901412 hasConcept C105795698 @default.
• W2907901412 hasConcept C127313418 @default.
• W2907901412 hasConcept C153294291 @default.
• W2907901412 hasConcept C173051318 @default.
• W2907901412 hasConcept C187320778 @default.
• W2907901412 hasConcept C18903297 @default.
• W2907901412 hasConcept C205649164 @default.
• W2907901412 hasConcept C2775840915 @default.
• W2907901412 hasConcept C31258907 @default.
• W2907901412 hasConcept C33923547 @default.
• W2907901412 hasConcept C39432304 @default.
• W2907901412 hasConcept C41008148 @default.
• W2907901412 hasConcept C42090638 @default.
• W2907901412 hasConcept C50477045 @default.

• next