Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016853530> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2016853530 endingPage "447" @default.
- W2016853530 startingPage "439" @default.
- W2016853530 abstract "The export of sediments from coastal catchments can have detrimental impacts on estuaries and near shore reef ecosystems such as the Great Barrier Reef. Catchment management approaches aimed at reducing sediment loads require monitoring to evaluate their effectiveness in reducing loads over time. However, load estimation is not a trivial task due to the complex behaviour of constituents in natural streams, the variability of water flows and often a limited amount of data. Regression is commonly used for load estimation and provides a fundamental tool for trend estimation by standardising the other time specific covariates such as flow. This study investigates whether load estimates and resultant power to detect trends can be enhanced by (i) modelling the error structure so that temporal correlation can be better quantified, (ii) making use of predictive variables, and (iii) by identifying an efficient and feasible sampling strategy that may be used to reduce sampling error. To achieve this, we propose a new regression model that includes an innovative compounding errors model structure and uses two additional predictive variables (average discounted flow and turbidity). By combining this modelling approach with a new, regularly optimised, sampling strategy, which adds uniformity to the event sampling strategy, the predictive power was increased to 90%. Using the enhanced regression model proposed here, it was possible to detect a trend of 20% over 20 years. This result is in stark contrast to previous conclusions presented in the literature." @default.
- W2016853530 created "2016-06-24" @default.
- W2016853530 creator A5012055975 @default.
- W2016853530 creator A5063074837 @default.
- W2016853530 creator A5073924559 @default.
- W2016853530 date "2015-01-01" @default.
- W2016853530 modified "2023-09-23" @default.
- W2016853530 title "Statistical modelling and power analysis for detecting trends in total suspended sediment loads" @default.
- W2016853530 cites W1577625187 @default.
- W2016853530 cites W1652657036 @default.
- W2016853530 cites W1968414906 @default.
- W2016853530 cites W1980713913 @default.
- W2016853530 cites W1993661898 @default.
- W2016853530 cites W2000800770 @default.
- W2016853530 cites W2008708379 @default.
- W2016853530 cites W2012312651 @default.
- W2016853530 cites W2070700968 @default.
- W2016853530 cites W2073491504 @default.
- W2016853530 cites W2075912486 @default.
- W2016853530 cites W2080964997 @default.
- W2016853530 cites W2084491972 @default.
- W2016853530 cites W2086692172 @default.
- W2016853530 cites W2096274953 @default.
- W2016853530 cites W2110083015 @default.
- W2016853530 cites W2111883767 @default.
- W2016853530 cites W2120184856 @default.
- W2016853530 cites W2156192739 @default.
- W2016853530 cites W2157365607 @default.
- W2016853530 cites W2209786003 @default.
- W2016853530 cites W2267810447 @default.
- W2016853530 cites W2437473940 @default.
- W2016853530 cites W4230457499 @default.
- W2016853530 cites W4245473565 @default.
- W2016853530 cites W1982683712 @default.
- W2016853530 doi "https://doi.org/10.1016/j.jhydrol.2014.10.062" @default.
- W2016853530 hasPublicationYear "2015" @default.
- W2016853530 type Work @default.
- W2016853530 sameAs 2016853530 @default.
- W2016853530 citedByCount "7" @default.
- W2016853530 countsByYear W20168535302015 @default.
- W2016853530 countsByYear W20168535302017 @default.
- W2016853530 countsByYear W20168535302020 @default.
- W2016853530 countsByYear W20168535302021 @default.
- W2016853530 countsByYear W20168535302022 @default.
- W2016853530 crossrefType "journal-article" @default.
- W2016853530 hasAuthorship W2016853530A5012055975 @default.
- W2016853530 hasAuthorship W2016853530A5063074837 @default.
- W2016853530 hasAuthorship W2016853530A5073924559 @default.
- W2016853530 hasBestOaLocation W20168535302 @default.
- W2016853530 hasConcept C105795698 @default.
- W2016853530 hasConcept C114793014 @default.
- W2016853530 hasConcept C121332964 @default.
- W2016853530 hasConcept C127313418 @default.
- W2016853530 hasConcept C163258240 @default.
- W2016853530 hasConcept C187320778 @default.
- W2016853530 hasConcept C20470049 @default.
- W2016853530 hasConcept C2816523 @default.
- W2016853530 hasConcept C2986587452 @default.
- W2016853530 hasConcept C33923547 @default.
- W2016853530 hasConcept C39432304 @default.
- W2016853530 hasConcept C62520636 @default.
- W2016853530 hasConcept C65589250 @default.
- W2016853530 hasConcept C71743495 @default.
- W2016853530 hasConcept C76886044 @default.
- W2016853530 hasConceptScore W2016853530C105795698 @default.
- W2016853530 hasConceptScore W2016853530C114793014 @default.
- W2016853530 hasConceptScore W2016853530C121332964 @default.
- W2016853530 hasConceptScore W2016853530C127313418 @default.
- W2016853530 hasConceptScore W2016853530C163258240 @default.
- W2016853530 hasConceptScore W2016853530C187320778 @default.
- W2016853530 hasConceptScore W2016853530C20470049 @default.
- W2016853530 hasConceptScore W2016853530C2816523 @default.
- W2016853530 hasConceptScore W2016853530C2986587452 @default.
- W2016853530 hasConceptScore W2016853530C33923547 @default.
- W2016853530 hasConceptScore W2016853530C39432304 @default.
- W2016853530 hasConceptScore W2016853530C62520636 @default.
- W2016853530 hasConceptScore W2016853530C65589250 @default.
- W2016853530 hasConceptScore W2016853530C71743495 @default.
- W2016853530 hasConceptScore W2016853530C76886044 @default.
- W2016853530 hasLocation W20168535301 @default.
- W2016853530 hasLocation W20168535302 @default.
- W2016853530 hasOpenAccess W2016853530 @default.
- W2016853530 hasPrimaryLocation W20168535301 @default.
- W2016853530 hasRelatedWork W1482415661 @default.
- W2016853530 hasRelatedWork W1536561607 @default.
- W2016853530 hasRelatedWork W1545815927 @default.
- W2016853530 hasRelatedWork W2092939721 @default.
- W2016853530 hasRelatedWork W2206445162 @default.
- W2016853530 hasRelatedWork W2219078314 @default.
- W2016853530 hasRelatedWork W2737252101 @default.
- W2016853530 hasRelatedWork W2908595141 @default.
- W2016853530 hasRelatedWork W325447997 @default.
- W2016853530 hasRelatedWork W4252656398 @default.
- W2016853530 hasVolume "520" @default.
- W2016853530 isParatext "false" @default.
- W2016853530 isRetracted "false" @default.
- W2016853530 magId "2016853530" @default.
- W2016853530 workType "article" @default.