Evaluating the Influence of Rain Event Characteristics on Rainfall Interception by Urban Trees Using Multiple Correspondence Analysis
| Autor: | Katarina Zabret, Mojca Šraj |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
rainfall interception
Geography Planning and Development hydrology Aquatic Science urban trees Atmospheric sciences Biochemistry Wind speed Multiple correspondence analysis prestrezanje padavin hidrologija multiple correspondence analysis (MCA) rainfall event characteristics Water Science and Technology multipla korespondenčna analiza (MCA) Regression analysis Vegetation udc:556.5(497.4) Throughfall Regression prepuščene padavine Betula pendula Environmental science throughfall Interception urbana drevesa lastnosti padavinskega dogodka |
| Zdroj: | Water Volume 11 Issue 12 Water, vol. 11, no. 12, 2659, pp. 1-13, 2019. |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w11122659 |
| Popis: | Urban trees play an important role in the built environment, reducing the rainfall reaching the ground by rainfall interception. The amount of intercepted rainfall depends on the meteorological and vegetation characteristics. By applying the multiple correspondence analysis (MCA), we analysed the influence of rainfall amount, intensity and duration, the number of raindrops, the mean volume diameter (MVD), wind speed and direction on rainfall interception. The analysis was based on data from 176 events collected over more than three years of observations. Measurements were taken under birch (Betula pendula Roth.) and pine (Pinus nigra Arnold) trees located in an urban park in the city of Ljubljana, Slovenia. The results indicate that rainfall interception is influenced the most by rainfall amount and the number of raindrops. In general, the ratio of rainfall interception to gross rainfall decreases with longer and more intense rainfall events. The influence of the raindrop number depends also on their size (MVD), which is evident especially for the pine tree. For example, pine tree interception increases with smaller raindrops regardless of their number. In addition, MCA gives a new insight into the influence of wind characteristics, which was not visible using previous methods of data analysis (regression analysis, correlation matrices, regression trees, boosted regression trees). According to the nearby buildings, a wind corridor is sometimes created, decreasing rainfall interception by both tree species. |
| Databáze: | OpenAIRE |
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