In: Journal of Hydrology and Hydromechanics, vol. 68, no. 2
Xiaofei Chen - Juraj Parajka - Borbála Széles - Peter Strauss - Günter Blöschl
Detaily:
Rok, strany: 2020, 155 - 169
Jazyk: eng
Kľúčové slová:
Machine learning; Event runoff analyses; Event runoff coefficient; Recession coefficient; Runoff generation.
URL originálneho zdroja: http://www.ih.sav.sk/jhh
O článku:
The event runoff coefficient (Rc) and the recession coefficient (tc) are of theoretical importance for understanding
catchment response and of practical importance in hydrological design. We analyse 57 event periods in the period
2013 to 2015 in the 66 ha Austrian Hydrological Open Air Laboratory (HOAL), where the seven subcatchments are
stratified by runoff generation types into wetlands, tile drainage and natural drainage. Three machine learning algorithms
(Random forest (RF), Gradient Boost Decision Tree (GBDT) and Support vector machine (SVM)) are used to estimate
Rc and tc from 22 event based explanatory variables representing precipitation, soil moisture, groundwater level and season.
The model performance of the SVM algorithm in estimating Rc and tc is generally higher than that of the other two
methods, measured by the coefficient of determination R2, and the performance for Rc is higher than that for tc. The relative
importance of the explanatory variables for the predictions, assessed by a heatmap, suggests that Rc of the tile drainage
systems is more strongly controlled by the weather conditions than by the catchment state, while the opposite is true
for natural drainage systems. Overall, model performance strongly depends on the runoff generation type.
Ako citovať:
ISO 690:
Chen, X., Parajka, J., Széles, B., Strauss, P., Blöschl, G. 2020. Controls on event runoff coefficients and recession coefficients for different
runoff generation mechanisms identified by three regression methods. In Journal of Hydrology and Hydromechanics, vol. 68, no.2, pp. 155-169. 0042-790X (until 2019) . DOI: https://doi.org/10.2478/johh-2020-0008
APA:
Chen, X., Parajka, J., Széles, B., Strauss, P., Blöschl, G. (2020). Controls on event runoff coefficients and recession coefficients for different
runoff generation mechanisms identified by three regression methods. Journal of Hydrology and Hydromechanics, 68(2), 155-169. 0042-790X (until 2019) . DOI: https://doi.org/10.2478/johh-2020-0008
O vydaní:
Vydavateľ: VEDA, Publishing House of the Slovak Academy of Sciences, Bratislava, Slovakia
Publikované: 15. 6. 2020