An investigation into the impact of nine catchment characteristics on the accuracy of two phosphorus load apportionment models
| العنوان: | An investigation into the impact of nine catchment characteristics on the accuracy of two phosphorus load apportionment models |
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| المؤلفون: | J. L. Stevenson, Lucy Crockford, W. E. Harris, S. O’Riordain |
| المصدر: | Environmental Monitoring and Assessment. 193 |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Base flow, Drainage basin, Regression analysis, General Medicine, Sinuosity, 010501 environmental sciences, Management, Monitoring, Policy and Law, 01 natural sciences, Pollution, Random forest, Variable (computer science), Standard error, Statistics, Range (statistics), Environmental science, 0105 earth and related environmental sciences, General Environmental Science |
| الوصف: | Phosphorus (P) load apportionment models (LAMs), requiring only spatially and temporally paired P and flow (Q) measurements, provide outputs of variable accuracy using long-term monthly datasets. Using a novel approach to investigate the impact of catchment characteristics on accuracy variation, 91 watercourses’ Q-P datasets were applied to two LAMs, BM and GM, and bootstrapped to ascertain standard errors (SEs). Random forest and regression analysis on data pertaining to catchments’ land use, steepness, size, base flow and sinuosity were used to identify the individual relative importance of a variable on SE. For BM, increasing urban cover was influential on raising SEs, accounting for c.19% of observed variation, whilst analysis for GM found no individually important catchment characteristic. Assessment of model fit evidenced BM consistently outperformed GM, modelling P values to ±10% of actual P values in 85.7% of datasets, as opposed to 17.6% by GM. Further catchment characteristics are needed to account for SE variation within both models, whilst interaction between variables may also be present. Future research should focus on quantifying these possible interactions and should expand catchment characteristics included within the random forest. Both LAMs must also be tested on a wide range of high temporal resolution datasets to ascertain if they can adequately model storm events in catchments with diverse characteristics. |
| تدمد: | 1573-2959 0167-6369 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::7f7110515e521b69fb8f5b54b49a2e6e https://doi.org/10.1007/s10661-021-08875-9 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........7f7110515e521b69fb8f5b54b49a2e6e |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 15732959 01676369 |
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