3.1. Variations of δ18O and D-Excess in Rainfall and Throughfall at Intra-Event Scale
The variations of δ
18O (’δ
18O
RF) and d-excess (’d-excess
RF) in rainfall, as well as the differences in δ
18O (Δ’δ
18O
TF-RF) and d-excess (Δ’d-excess
TF-RF) between throughfall and rainfall at the intra-event scale are shown in
Figure 2. During the initial phase of precipitation, the ’δ
18O
RF exhibits its highest values, while the observable changes in the first two intervals are less pronounced. As precipitation advanced, the overall ’δ
18O
RF tended to diminish. This trend can be attributed to the presence of substantial quantities of heavy isotopes within the cloud during the early stage of precipitation. As the precipitation progressed, the heavy isotopes underwent preferential condensation and dropped down, thereby causing a gradual reduction in the heavy isotope contents within raindrops during the subsequent stages of precipitation. As depicted in
Figure 2b, the ’d-excess
RF exhibited a generally low value during the initial 15 min of precipitation, followed by a slight declining trend from 30 to 60 min, and a subsequent gradual increase in the remaining time intervals. This observed behavior can be attributed to the progressive rise in water vapor saturation within the ambient atmosphere. Consequently, the sub-cloud secondary evaporation effect, which pertains to the process of evaporation experienced by raindrops descending from cloud bases to the earth’s surface, diminished greatly, leading to a gradual reduction in non-equilibrium fractionation.
Figure 2c reveals a discernible increasing trend in Δ’δ
18O
TF-RF during the initial three precipitation periods (0–15 min, 15–30 min, and 30–60 min). Such behavior can be attributed to the combined influence of canopy interception, evaporation fractionation-induced isotope enrichment, and selection effect-induced isotope depletion. Consequently, a noticeable time lag in isotopic composition was observed between throughfall and rainfall. Specifically, the collected throughfall within the event encompassed rainwater intercepted by the canopy during these stages, resulting in a greater presence of heavy isotope-enriched water. As a result, the δ
18O content within the collected throughfall surpassed that of the corresponding rainfall during the current stage. During the time intervals of 60–120 min and 120–300 min, Δ’δ
18O
TF-RF exhibited a decrease in value. Subsequently, following precipitation exceeding 300 min, Δ’δ
18O
TF-RF displayed a slight upward trend while generally fluctuating around 0. As the rainfall persisted, the canopy became increasingly saturated, facilitating a greater flow path for throughfall and thereby reducing the time lag from the canopy to the land. Consequently, the isotopic disparity between the throughfall and rainfall diminished, leading to the observed decrease in Δ’δ
18O
TF-RF. However, towards the end of precipitation, a minor increase in evaporation typically occurred due to the reduction in air humidity.
As depicted in
Figure 2d, the median value of Δ’d-excess
TF-RF exhibited a decline during the initial stages of precipitation (from 0–15 min to 15–30 min). Subsequently, this index demonstrated an increase during the period from 30 to 300 min, followed by a decrease after 300 min. Cayuela et al. (2018) observed an increase in the d-excess difference between rainfall and throughfall throughout the entire precipitation process [
12]. In this study, the shortened time interval for precipitation sampling enabled the detection of more nuanced variations in Δ’d-excess
TF-RF. During the initial stages of precipitation, the high level of water vapor unsaturation resulted in a low d-excess value in raindrops due to sub-cloud secondary evaporation occurring. During the 0–15 min period, a portion of the initial precipitation with a low d-excess value was intercepted by the canopy, resulting in the collected throughfall exhibiting a higher d-excess value. Consequently, the median value of Δ’d-excess
TF-RF exceeded 0. Subsequently, a portion of the intercepted pre-event precipitation fell and was collected during the 15–30 min period, leading to a d-excess increase of the precipitation in this event. As a result, the Δ’d-excess
TF became negative. As the precipitation progressed, the Δ’d-excess
TF-RF increased and exceeded 0, indicating that the d-excess of the intra-event throughfall was higher than that of the rainfall. Such observation may be attributed to the elevated water vapor content within the forest compared with that in the open land, resulting in a reduced degree of non-equilibrium fractionation in the throughfall. During the final period of precipitation, a slight decrease in Δ’d-excess
TF-RF was observed. This could be attributed to the attenuation of precipitation intensity and the intensified interception and evaporation processes within the canopy, which consequently led to a reduction in the d-excess value of the intra-event throughfall.
3.2. Influencing Factors of the Intra-Event Isotopic Differences between Throughfall and Rainfall
Two precipitation events, occurring in 16 July 2020, and 22 August 2021, were chosen as cases from the collected samples due to their prolonged duration and comprehensive meteorological characteristics. These selected events were further analyzed to investigate the factors influencing the stable isotope differentiation between rainfall and throughfall at the intra-event scale. The variations of meteorological elements (i.e., temperature, relative humidity, precipitation amount and precipitation intensity), δ
18O and d-excess values of these two precipitation events are shown in
Figure 3 and
Figure 4.
As shown in
Figure 3, during the event that occurred on 16 July 2020, the total precipitation amounted to 36.8 mm, persisting for a duration of 12 h. Notably, the intensity of precipitation was observed to be highest within the initial 120 min, reaching a peak of 11.8 mm/h. Subsequently, the intensity gradually diminished over time, accompanied by temperature fluctuations ranging between 23.4 °C and 24.9 °C, as well as relative humidity varying from 83.4% to 97%. The isotopic composition of ’δ
18O
RF ranged from −13.09‰ to −11.14‰, while that of ’δ
18O
TF exhibited a range from −12.88‰ to −11.57‰. Over the course of the event, both indicators demonstrated a declining pattern. The ’d-excess
RF exhibited a range of 3.85‰ to 14.75‰, while the ’d-excess
TF ranged from 8.40‰ to 12.21‰. Results from the correlation analysis indicate a negative correlation between ’δ
18O
RF and ’d-excess
RF with accumulated precipitation (
p < 0.05), highlighting a significant “precipitation amount effect”. Furthermore, Δ
18O
TF and Δd-excess
TF displayed negative correlations with accumulated precipitation (
p < 0.01) and exhibited significant correlations with precipitation intensity (
p < 0.05). During the initial 30 min of precipitation, the intra-event throughfall exhibited a greater depletion in δ
18O due to the influence of the “selection process”, resulting in higher d-excess values. Subsequently, from 60 to 360 min, certain rainwater underwent interception and evaporation before reaching the land surface, as the precipitation intensity decreased noticeably. This led to a discernible lag effect of isotope signals caused by the initial interception, indicating isotopic enrichment in throughfall. In the three time intervals of 360–540 min, 540–660 min, and 660–720 min, throughfall displayed alternating patterns of δ
18O enrichment and depletion. In addition to the accumulated precipitation and precipitation intensity, ’d-excess
TF exhibited a positive correlation with relative humidity, while δ
18O demonstrated a negative correlation (
p < 0.05). During these three periods, the accumulated precipitation surpassed 30 mm, resulting in complete wetting of the canopy surface, accompanied by consistently low precipitation intensity. As air humidity increased, the isotopic composition of throughfall was likely to be influenced by processes such as water vapor exchange, selective effects, and subtle evaporation fractionation.
As shown in
Figure 4, during the precipitation event that occurred on 22 August 2021, the total precipitation recorded was 16.6 mm, spanning a duration of 7 h. The precipitation intensity exhibited fluctuations, with the maximum value observed at 360 min, reaching 6.2 mm/h. Concurrently, the temperature exhibits variations within the range of 21 °C to 24 °C, while relative humidity ranges between 84% and 99%. The ’δ
18O
RF values exhibit a variation range of −16.59‰ to −10.64‰, while the ’δ
18O
TF values range from −15.90‰ to −10.84‰, both displaying an “L” shaped trend. The ’d-excess
RF values range from 3.54‰ to 17.03‰, whereas the ’d-excess
TF values range from 4.92‰ to 16.27‰. Notably, ’δ
18O
RF exhibits a significant correlation with temperature (
p < 0.001), relative humidity (
p < 0.01), and accumulated precipitation (
p < 0.05). ’D-excess
RF demonstrates a significant correlation with temperature (
p < 0.01) and relative humidity (
p < 0.05). ’D-excess
TF exhibits a significant correlation with temperature (
p < 0.001), relative humidity (
p < 0.01), and accumulated precipitation (
p < 0.01), while ’δ
18O
TF demonstrates a significant correlation with temperature (
p < 0.01) and relative humidity (
p < 0.01). The positive correlation and statistical significance observed between ’δ
18O
RF and ’δ
18O
TF with temperature suggests a prominent reduction in heavy isotopes during the initial stages of precipitation, corresponding to rapid temperature changes. This pattern indicates the “temperature effect” on the isotopic composition. Han et al. (2020) indicated that the “L” shaped pattern observed in precipitation isotopes can be attributed to robust water vapor convection and the subsequent ascent of precipitation clouds during the initial stages. This ascent resulted in a reduction in condensation temperature, leading to a rapid decline in δ
18O values [
21]. At the first 30 min after the onset of precipitation, ’δ
18O
RF and ’δ
18O
TF exhibited close proximity, while ’d-excess
TF demonstrated a significant increase, potentially attributable to the concurrent impact of intra-event selection and evaporation fractionation. Between 60 and 240 min, the δ
18O values in throughfall exhibited a higher enrichment compared to those in rainfall. This divergence occurred despite minimal changes in cumulative precipitation and a sustained high level of relative humidity. The disparity can be attributed to the influence of delayed rainwater release resulting from canopy interception, whereby isotope-depleted rainwater in the later stages mixed with isotope-enriched rainwater within the canopy. In the latter stages of precipitation, δ
18O
RF and ’δ
18O
TF alternated in their changes, while ’d-excess
TF exhibited higher values. This pattern arose from lower temperatures, higher relative humidity, and reduced non-equilibrium fractionation of throughfall during this phase.
3.3. Effects of PEP on the Isotopic Composition of Rainfall and Throughfall
Events that experienced precipitation within a 12 h timeframe prior to the current precipitation event are categorized as events with PEP. In the collected precipitation records spanning three summers, a total of 27 rainfall events and 26 throughfall events were identified as events with PEP. Conversely, there were 43 rainfall events and 39 throughfall events recorded as events without PEP. The correlation between δD and δ
18O in rainfall and throughfall events is established separately for cases with and without PEP, as illustrated in
Figure 5. In the presence of PEP, the stable isotope relationship between hydrogen and oxygen in rainfall events can be expressed as follows: δD = 8.22δ
18O + 12.39 (
R2 = 0.99,
n = 27,
p < 0.001), and the relationship in throughfall can be expressed as follows: δD = 8.25δ
18O + 13.37 (
R2 = 0.99,
n = 26,
p < 0.001). The intercept and slope of the δD-δ
18O linear relationship in both rainfall and throughfall surpass the values of the global meteoric water line (GMWL, δD = 8δ
18O + 10) [
22]. Without the presence of PEP, the stable isotope relationship between hydrogen and oxygen in rainfall events can be expressed as follows: δD = 7.76δ
18O + 5.98 (
R2 = 0.98,
n = 43,
p < 0.001) and the relationship in throughfall can be expressed as follows: δD = 7.86δ
18O + 7.92 (
R2 = 0.98,
n = 39,
p < 0.001). The intercept and slope of the linear H-O relationship of both types of rainwater exhibit values lower than those of GMWL. The slope of the regression line representing the hydrogen and oxygen isotopes signifies the relative fractionation rates of deuterium and oxygen-18, while the intercept indicates the extent of deviation of deuterium from the equilibrium state. In the presence of PEP, the “water line” exhibits a steeper slope and higher intercept, indicating that PEP maintains higher atmospheric humidity levels to some extent prior to the subsequent precipitation event, thereby reducing the secondary evaporation effect during the sub-cloud descent of raindrops.
The δ
18O difference between throughfall and rainfall (Δ
Pδ
18O
TF-RF), the d-excess difference between throughfall and rainfall (Δ
Pd-excess
TF-RF), the stable isotope difference between the rainfall in the current event and the preceding event (Δδ
18O
RF-PRF), and the d-excess difference between the rainfall in the current event and the preceding event (Δd-excess
RF-PRF) are calculated for events with PEP. The result of the linear regression analysis, as illustrated in
Figure 6, reveals a moderate negative correlation (
R2 = 0.36,
p < 0.01) between Δ
Pδ
18O
TF-RF and Δδ
18O
RF-PRF. This finding suggests that the isotopic composition of preceding precipitation has a substantial impact on the isotopic composition of throughfall. Nevertheless, no significant correlation was observed between Δ
Pd-excess
TF-RF and Δd-excess
RF-PRF. Allen et al. (2014) pointed out that in situations characterized by elevated relative humidity, the impact of fractionation on d-excess is negligible [
16]. Consequently, d-excess can serve as an indicator for examining the extent of residual rainwater mixing in the canopy. However, a weak correlation between Δ
Pδ
18O
TF-RF and Δδ
18O
RF-PRF arose due to the influence of non-equilibrium fractionation. The findings of the previous investigation diverge from those of this study conducted in the planted forest area of Chengdu. Several factors may contribute to the lack of significance between Δ
Pd-excess
TF-RF and Δd-excess
RF-PRF. These factors include the limited water storage capacity of the canopy resulting from the specific tree species, substantial fluctuations in meteorological conditions during monsoon precipitation, and potential biases arising from irregular sampling intervals. The moderate negative correlation observed between Δ
Pδ
18O
TF-RF and Δδ
18O
RF-PRF may be attributed to the robust mixing effect between incoming precipitation and previously stored precipitation within the canopy. Furthermore, atmospheric saturation beneath the canopy induced by prior precipitation events may suppress fractionation during the landing process of raindrops, thus contributing to the observed correlation.
For the intra-event records, a total of 15 rainfall events with PEP were identified, along with corresponding throughfall events. Additionally, there were 14 rainfall events without PEP and 12 throughfall events without PEP. The temporal fluctuations of δ
18O and d-excess in throughfall, at an intra-event scale, are presented in
Figure 7 for both cases with and without PEP. As shown in
Figure 7a,b, the δ
18O values for intra-event rainfall with PEP (’
Pδ
18O
RF) are relatively low during the initial 0–15 min period. Subsequently, during the 15–30 min period, the ’
Pδ
18O
RF values gradually increased and approached the δ
18O (’
NPδ
18O
RF) values for intra-event rainfall without PEP. Throughout the subsequent four periods (15–30 min, 30–60 min, 60–120 min, and 120–300 min), both ’
Pδ
18O
RF and ’
NPδ
18O
RF exhibited a trend of dilution. In the final period (300 min), the ’
Pδ
18O
RF displays evident enrichment, and the variation range of ’
Pδ
18O
RF was larger than that of ’
NPδ
18O
RF in each period. As shown in
Figure 7c,d, during the 0–15 min period, the d-excess of rainfall with PEP is higher compared to that without PEP. However, in the subsequent periods, the median values of both types exhibit similarity. The variation range of ’
Pd-excess
RF in each period was broader than that of ’
NPd-excess
RF. These observations suggest that PEP can induce significant fluctuations in δ
18O and d-excess during subsequent precipitation events. Specifically, at the early stage of precipitation, δ
18O exhibited greater depletion, accompanied by a weakened non-equilibrium fractionation effect experienced by raindrops. ’
Pδ
18O
RF exhibited greater depletion compared to ’
NPδ
18O
RF during the initial stage of precipitation, suggesting a delayed replenishment from new water vapor source following the PEP. Additionally, ’
Pd-excess
RF is higher than ’
NPd-excess
RF at the early stage of precipitation, possibly due to the elevated atmospheric humidity resulting from PEP. On the one hand, the occurring of pre-event precipitation promotes the contribution of local recycled moisture to the precipitation moisture, causing the higher d-excess value in the subsequent precipitation. On the other hand, the higher atmospheric humidity caused by pre-event precipitation led to the weak evaporation, dampening the decrease of d-excess value in the subsequent precipitation.
Figure 8 displays the intra-event scale variations in the δ
18O and d-excess difference between throughfall and rainfall for cases with and without PEP. It can be found from
Figure 8a,b that the δ
18O difference (Δ’
Pδ
18O
TF-RF) between throughfall and rainfall in events with PEP exhibits a near-zero value during the initial 0–15 min and displays an upward trend during the first three time intervals (0–15 min, 15–30 min, and 30–60 min). The δ
18O difference (Δ’
NPδ
18O
TF-RF) between throughfall and rainfall in events without PEP exhibited values greater than 0 during the initial 0–15 min, demonstrating a decreasing trend across the first three time intervals. The presence of PEP led to water retention within the canopy when subsequent precipitation occurred, thereby weakening the interception effect. Consequently, the δ
18O of throughfall closely approximated that of rainfall at the beginning of an event. Conversely, for events lacking PEP, the canopy exhibited stronger interception evaporation, resulting in a more enriched δ
18O signature in the throughfall. It is evident that PEP exerts the greatest influence on the δ
18O composition of both throughfall and rainfall within the 0–15 min timeframe. As depicted in
Figure 8c,d, the d-excess difference between throughfall and rainfall was notably higher in the events with PEP (Δ’
Pd-excess
TF-RF) compared to those without PEP (Δ’
NPd-excess
TF-RF) throughout the initial three precipitation periods and the final period. During the subsequent intermediate periods (60–120 min and 120–300 min), Δ’
Pd-excess
TF-RF and Δ’
NPd-excess
TF-RF exhibited comparable values. This observation indicates that PEP augmented water vapor content within the forest, thereby attenuating the sub-cloud secondary evaporation effect. In the early stages of precipitation, the influence of PEP on the d-excess difference between rainfall and throughfall was more pronounced.
The results of this study reveal that PEP significantly influences the entire precipitation process. However, its impact on the formation of rainwater within the forest primarily manifests during the initial stages of precipitation. This observation highlights the canopy’s ability to conceal the inherent characteristics of precipitation. Consequently, when the time interval between two rainfall events is short, the water composition of the subsequent precipitation entering the forest undergoes substantial changes during the early stages of precipitation. This underscores the predominant influence of PEP on the hydrological cycle of forest ecosystems, particularly during the initial phases of precipitation.
A relationship was also established between d-excess and δ
18O in rainfall during the entire period under event scale (shown in
Figure 9). The result indicated that a very weak negative correlation (Person’s r = −0.1) can be observed between these two parameters, which is non-significant at 0.05 confidence level (
p > 0.01). Such observation is different from previous studies in other Chinese study areas, in which the negative correlation is significant due to the happening of sub-cloud secondary evaporation [
23,
24]. This is due to the complex factors driving the variation of d-excess. On the one hand, the monsoon altering from multiple sources carried moisture with different d-excess in summer; on the other hand, the interaction between the contribution of recycled moisture and sub-cloud secondary evaporation increased the variability of d-excess. Such result highlights the importance of isotopic observation at intra-event scale, which helps dampen the inaccurate driving force verification caused by the overlapping of multiple factors.