Influence of meteorological variables on rainfall partitioning for deciduous and coniferous tree species in urban area

Zabret, Katarina; Rakovec, Jože; Šraj, Mojca

doi:10.1016/j.jhydrol.2018.01.025

Cited by 86 publications

(98 citation statements)

References 54 publications

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“…A previous study suggests that rainfall properties are a greater factor than crown characteristics in the interception of shrubs [30], but the canopy structure is less important for rainfall interception predictions, as indicated by the reformulated Gash Analytical Model [31]. Rainfall amount is found to be the most influential and direct factor [13,32]. The power function models fitted in our study can well define the relationship of canopy interception with rainfall amount (0.4 mm ≤ P ≤ 31.0 mm).…”

Section: Effects Of Rainfall Properties On Canopy Interceptionmentioning

confidence: 85%

“…The precipitation (P) was monitored during the growing seasons (May to September) in 2010 and 2011 with a tipping-bucket rain gauge (0.2 mm/tip) and a data logger (Model: JDZ02-1, Nanjing, China), which was extended above the forest canopy and mounted on an observation tower (45 m high and 50 m away from the sample area). When the adjacent rainfall interval time exceed 4 h, then it is divided into different rainfall events [13].…”

Section: Study Sitementioning

confidence: 99%

“…Therefore, most studies focus on one or more variables of the same group [11,12]. For example, some researchers reported that the rainfall amount was the most influential variable of forest canopy interception loss, followed by rainfall intensity [13]. Another study [14] suggests that the forest canopy rate of interception of rainfall increased proportionately with rainfall intensity when rainfall intensity was less than 7.0 mm h −1 and high-intensity rainfall events had lower interception values than low intensity rainfall events [9].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the processes of rainfall interception, throughfall, and stemflow of forest canopy depend on the various properties of the rainfall characteristics [24], especially the rainfall amount and intensity [13]. The amount and intensity of rainfall vary in time and differ from event to event.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Influence of Rainfall on Canopy Interception in Mixed Broad-Leaved—Korean Pine Forest in Xiaoxing’an Mountains, Northeastern China

Sheng

Cai

2019

Forests

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The mixed forest of broad-leaved and Korean pine is the dominant type in the Xiaoxing’an and Changbai Mountains of China. However, few studies have been done on its canopy interception of rainfall. In this study, rainfall amount, rainfall intensity, and canopy interception were monitored during the growing seasons in 2010 and 2011. The results showed that cumulative canopy interception of rainfall was 22.0% and 21.9% in 2010 and 2011, respectively. However, the canopy interception of rainfall varied with rainfall events from 6.6% to 82.7% in 2010, and from 8.7% to 80.2% in 2011. The relationship between rainfall amount and the ratio of canopy interception to rainfall amount could be described by a power function (P < 0.01), i.e., the canopy interception decreased with the increasing rainfall amount and intensity. These results indicate that the rainfall amount and intensity were important factors for estimating the canopy interception of the studied forest type.

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Section: Effects Of Rainfall Properties On Canopy Interceptionmentioning

confidence: 85%

Section: Study Sitementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of Rainfall on Canopy Interception in Mixed Broad-Leaved—Korean Pine Forest in Xiaoxing’an Mountains, Northeastern China

Sheng

Cai

2019

Forests

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“…A much smaller proportion of incident precipitation is directed along the stem and bole architecture of the trees, travelling directly down the tree trunk as stemflow. This portion can range from insignificant amounts (Bryant, Bhat, & Jacobs, ) to nearly 10% of incident rain (Tang, ), with fluxes highly dependent of tree species and characteristics, forest structure, and event dynamics (Carlyle‐Moses & Schooling, ; Levia, Van Stann, Mage, & Kelley‐Hauske, ; Zabret, Rakovec, & Šraj, ). The remaining water from a precipitation event is held in the canopy as interception, which will subsequently evaporate back to the atmosphere without reaching the forest floor (Carlyle‐Moses & Gash, ).…”

Section: Introductionmentioning

confidence: 99%

Rainfall partitioning through a mixed cedar swamp and associated C and N fluxes in Southern Ontario, Canada

Duval

2019

Hydrological Processes

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Partitioning of rainfall through a forest canopy into throughfall, stemflow, and canopy interception is a critical process in the water cycle, and the contact of precipitation with vegetated surfaces leads to increased delivery of solutes to the forest floor. This study investigates the rainfall partitioning over a growing season through a temperate, riparian, mixed coniferous-deciduous cedar swamp, an ecosystem not well studied with respect to this process. Seasonal throughfall, stemflow, and interception were 69.2%, 1.5%, and 29.3% of recorded above-canopy precipitation, respectively.Event throughfall ranged from a low of 31.5 ± 6.8% for a small 0.8-mm event to a high of 82.9 ± 2.4% for a large 42.7-mm event. Rain fluxes of at least 8 mm were needed to generate stemflow from all instrumented trees. Most trees had funnelling ratios <1.0, with an exponential decrease in funnelling ratio with increasing tree size.Despite this, stand-scale funnelling ratios averaged 2.81 ± 1.73, indicating equivalent depth of water delivered across the swamp floor by stemflow was greater than incident precipitation. Throughfall dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) averaged 26.60 ± 2.96 and 2.02 ± 0.16 mg L −1 , respectively, which were~11 and three times above-canopy rain levels. Stemflow DOC averaged 73.33 ± 7.43 mg L −1 , 35 times higher than precipitation, and TDN was 4.45 ± 0.56 mg L −1 , 7.5 times higher than rain. Stemflow DOC concentration was highest from Populus balsamifera and TDN greatest from Thuja occidentalis trees.Although total below-canopy flux of TDN increased with increasing event size, DOC flux was greatest for events 20-30 mm, suggesting a canopy storage threshold of DOC was readily diluted. In addition to documenting rainfall partitioning in a novel ecosystem, this study demonstrates the excess carbon and nitrogen delivered to riparian swamps, suggesting the assimilative capacity of these zones may be underestimated.

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Rainfall Interception by Urban Trees and Their Impact on Potential Surface Runoff

Zabret

Šraj

2019

CLEAN Soil Air Water

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Urbanization changes the natural environment, alters land use, and affects the hydrological cycle. Due to decreased infiltration, runoff appears faster with higher flow peaks. A nature‐based solution is to plant trees because they intercept precipitation and help to reduce water reaching the ground, forming surface runoff. Rainfall partitioning for birch (Betula pendula Roth.) and pine (Pinus nigra Arnold) trees is measured in the city of Ljubljana, Slovenia, during 2014 and 2015. The measured values for two consecutive years are used to estimate potential surface runoff reduction due to planting of the trees at a parking lot. The results demonstrate that birch and pine trees intercepted 23 and 45% of gross rainfall, respectively. Both tree species intercept more rainfall in the leafed period. Additionally, rainfall interception during wet (2014) and dry (2015) years has been compared. In 2014 rainfall interception is highly influenced by rainfall intensity, while it has a negligible impact on rainfall interception in 2015, when air temperature is more influential. The scenario of covering 10% of the parking lot area with the trees results in runoff reduction of up to 7.3% per year. In general, runoff reduction is higher in a wet rather than a dry year. The new findings about the performance of different tree species in different climate conditions can offer valuable information for the decision makers and landscape designers about the benefits of trees in urban areas.

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Influence of meteorological variables on rainfall partitioning for deciduous and coniferous tree species in urban area

Cited by 86 publications

References 54 publications

Influence of Rainfall on Canopy Interception in Mixed Broad-Leaved—Korean Pine Forest in Xiaoxing’an Mountains, Northeastern China

Influence of Rainfall on Canopy Interception in Mixed Broad-Leaved—Korean Pine Forest in Xiaoxing’an Mountains, Northeastern China

Rainfall partitioning through a mixed cedar swamp and associated C and N fluxes in Southern Ontario, Canada

Rainfall Interception by Urban Trees and Their Impact on Potential Surface Runoff

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