H and O isotopic differences in typhon and urban-induced heavy rain in Tokyo

Uchiyama, Ryunosuke; Okochi, Hiroshi; Ogata, Hiroko; Katsumi, Naoya; Asai, Daisuke; Nakano, Takanori

doi:10.1007/s10311-017-0652-0

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…In addition, during the atmospheric transport from inland to remote oceans, terrestrial NH 4 + could be easily loosed during the long-range transport (Lin et al, 2016), and δ 15 N-NH 4 + tends to be decreasing due to the "washout" of heavy isotopes from aerosols (Agnihotri et al, 2011;Altieri et al, 2014). In the EIO low N group, δ 15 N-NH 4 + was markedly higher than δ 15 N-NH 4 + reported in terrestrial precipitation events, e.g., Toshima, Japan (mean: -25 , Uchiyama et al, 2017) and Guiyang, China (mean: -15 ; Xiao et al, 2012), also confirming its oceanic origin. In the low N group, the oceanic NO 3 − is the oxidation product of lighting-produced NO and NO 2 (NO x ; Altieri et al, 2013).…”

Section: Discussion Wet Deposition N In the Eiomentioning

confidence: 85%

“…In addition, the manufacture and agriculture activities in Micronesia are less developed, and citizens are mainly dependent on imported food (Connell, 2015). Compared with NO 3 − and NH 4 + in the wet precipitation collected at Guangzhou (Figure 2) and other coastal sites with millions of population residence, e.g., Wenchang, China (Liu et al, 2011) and Toshima, Japan (Uchiyama et al, 2017), the N content in the Pohnpei harbor is minor, reinforcing that the major driver of wet precipitation N inventory is population-based anthropogenic activities instead of latitude effect driven by the Hardly Circulation.…”

Section: Wet Deposition N In the Wpomentioning

confidence: 99%

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Nitrogen in Atmospheric Wet Depositions Over the East Indian Ocean and West Pacific Ocean: Spatial Variability, Source Identification, and Potential Influences

et al. 2021

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Atmospheric deposition is the dominant pathway for the loading of exogenous nitrogen (N) to open ocean. Here, rainwater samples were collected from 31 stations in the equatorial East Indian Ocean (EIO) and West Pacific Ocean (WPO) to explore the spatial variability of N species, potential sources, and related ecological influences. Among two oceans, nitrate (NO3–) and ammonium (NH4+) were the main components in the rainwater N inventory. NO3– concentrations varied from 0.19 to 100.5 μM, whereas NH4+ concentrations ranged from 0.54 to 110.6 μM. Among all stations, low concentrations of NO3– and NH4+ appeared in the remote ocean, whereas high concentrations were observed at the stations near the Malacca Strait and New Guinea, coupled with an enhancement of non-sea salt major ions, e.g., calcium ions (Ca2+) and sulfate (SO42–), revealing the influence from coastal human activities, such as coal and gasoline combustion. In the remote ocean, δ15N–NH4+ ranged from −5.7 to −9.3‰, whereas it dropped to -15.5‰ near coasts. A logarithmic decay between δ15N–NH4+ and NH4+ concentrations in rainwater samples was obtained, suggesting a shift from natural source (seawater emission) in oceanic precipitation events to anthropogenic source (chemical fertilizer volatilization and vehicle exhaust) in coastal rainwaters. δ15N–NO3– in the remote ocean varied between −1.7 and 0.4‰ with low levels found in the WPO, likely related to the ascending air flow driven by the Walker Circulation. In coastal oceans, δ15N–NO3– ranged from 1.5 to 3.5‰. The linkage between δ15N–NO3– and NO3– concentrations varied in two oceans, resulting from difference in biological and fossil fuel combustion contributions. Compared with ocean surface water, N in the rainwater was markedly enriched, suggesting that N from atmospheric wet depositions could rapidly enhance the dissolved N availability in ocean surface water. However, the N redundancy according to the Redfield–Brzezinski ratio (N:Si:P = 16:16:1) in the rainwater might benefit from the growth of N-preference phytoplankton species and microbes. As the first study on N concentrations, sources, and stoichiometry balance in rainwater over the equatorial WPO and EIO, the results could be a support to the global N budget estimation and oceanic primary production modeling.

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Section: Discussion Wet Deposition N In the Eiomentioning

confidence: 85%

Section: Wet Deposition N In the Wpomentioning

confidence: 99%

Nitrogen in Atmospheric Wet Depositions Over the East Indian Ocean and West Pacific Ocean: Spatial Variability, Source Identification, and Potential Influences

et al. 2021

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“…Furthermore, the scale effect and spatial heterogeneity have always been a problem in hydrological model research (Seyfried and Wilcox, 1995;Blöschl, 2006;Pechlivanidis et al, 2011;Devia et al, 2015), e.g., the representation of the observations at limited sampling sites on the whole basin scale with a large area. These introduce additional complexities and uncertainties in identifying the seasonal variation and influence factors of river water isotopes on a basin scale, and thus the interpretation of the extreme isotopic signals and the variations in river water isotopes and the representation of the site observation based on the spatial correlation analysis become nec-essary (Uchiyama et al, 2017;Boutt et al, 2019;Saranya et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Seasonal variation and influence factors of river water isotopes in the East Asian monsoon region: a case study in the Xiangjiang River basin spanning 13 hydrological years

Xiao,

Zhang,

Xiao

et al. 2023

Hydrol. Earth Syst. Sci.

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Abstract. Seasonal variation and influencing factors of river water isotopes were investigated in the Xiangjiang River basin located in the East Asian monsoon region. This investigation involved comprehensive sampling of daily precipitation and river water with a 5 d interval as well as observing hydrometeorological factors spanning 13 hydrological years from January 2010 to December 2022, combined with the temporal and spatial correlation analyses based on linear regression and the isotopic Atmospheric Water Balance Model. Key findings are as follows: river water δ2H (δ2HR) exhibited significant seasonal variation, with the most positive and negative values occurring in the spring flood period and summer drought period, respectively, in alignment with those observed in precipitation. The correlations of the δ2HR with corresponding hydrometeorological factors with a 5 d interval were commonly weak due to the seasonality of precipitation isotopes and mixing of various water bodies within the basin, but the changes in the runoff (ΔR) and δ2HR (Δδ2HR) between two contiguous samplings with 5 d or higher intervals showed significant responses to the corresponding accumulated precipitation and evaporation. Prolonged rainless intervals with high evaporation rates in 2013 and 2022 as well as significant precipitation events in major flood periods in 2011 and 2017 had a significant impact on the δ2HR and runoff discharge. However, the most positive δ2HR values were primarily influenced by precipitation input with the most enriched isotopes in the spring flood period, while the moderately isotope-depleted precipitation during limited wetness conditions led to the most negative δ2HR. The spatial correlation analysis between water isotopes and hydrometeorological factors at the observing site and in the surrounding regions supported the representation of the Changsha site in the Xiangjiang River basin. These results underscore the potential of Δδ2HR as a proxy that reflects the seasonal variations in local environments, while caution is advised when interpreting extreme isotopic signals in river water. Overall, this study provides insights into the seasonal variation, extreme signal interpreting, and controlling factors of δ2HR in the study area, which was valuable for paleoclimate reconstruction and establishment of isotope hydrologic models.

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“…(Nkemelang et al, 2018;Cook et al, 2018;Grillakis, 2019;Marengo et al, 2020;Cardoso et al, 2020). These events introduce additional complexities and intricate seasonality in river stable isotopes on a basin scale, thus the identification of the controlling factors that influence river water isotopes becomes challenging (Uchiyama et al, 2017;Boutt et al, 2019;Saranya et al, 2020). The East Asian monsoon region, characterized by complex water vapor sources, substantial seasonal and inter-annual temperature and precipitation variations, as well as frequent floods and seasonal droughts, further contributes to the hydrological complexity in this region (Huang et al, 1998;Zhou et al, 2019;Wang et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Seasonal variation and influence factors of river water isotopes in the East Asian monsoon region: A case study in Xiangjiang River basin spanning 13 hydrological years

Xiao

Rao

et al. 2023

Preprint

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Abstract. Seasonal variation and influencing factors of water isotopes were investigated in the Xiangjiang River basin, located in the East Asian monsoon region. This involved comprehensive sampling of precipitation and river water, as well as observing hydrometeorological factors spanning 13 hydrological years from January 2010 to December 2022. Key findings are as follows: River water δ2H (δ2HR) exhibited significant seasonal variation, with the most positive and negative δ2HR occurring in the spring flood period and summer drought, respectively, and generally aligned with those observed in precipitation. The correlations of the δ2HR with the corresponding hydrometeorological factors were generally weak and the reasons can be attributed to the seasonality of precipitation isotopes and mixing of various water bodies within the basin, but the changes in the runoff (ΔR) and δ2HR (Δδ2HR) between two contiguous samplings showed significant responses to the corresponding accumulated precipitation and evaporation. These results underscore the potential of Δδ2HR as a variable that reflects the seasonal variations in local environments, valuable for paleoclimate reconstruction. Prolonged rainless intervals with high evaporation rates in 2013 and 2022, as well as significant precipitation events in major flood periods in 2011 and 2017, notably had a significant impact on the δ2HR and runoff discharge. The most positive δ2HR values were primarily influenced by the precipitation input with the most enriched isotopes in the spring flood period, while the moderately isotope-depleted precipitation during limited basin wetness conditions led to the most negative δ2HR, thus caution is advised when interpreting extreme isotopic signals in river water. The spatial correlation analysis between water isotopes and hydrometeorological factors at the observing site and in the surrounding regions supported the representation of the Changsha site in the Xiangjiang River basin. Overall, these findings provide insights into the seasonal variation and influencing factors of δ2HR in the study area, shedding light on the complex dynamics of river water isotopes under different hydrometeorological conditions.

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H and O isotopic differences in typhon and urban-induced heavy rain in Tokyo

Cited by 6 publications

References 12 publications

Nitrogen in Atmospheric Wet Depositions Over the East Indian Ocean and West Pacific Ocean: Spatial Variability, Source Identification, and Potential Influences

Nitrogen in Atmospheric Wet Depositions Over the East Indian Ocean and West Pacific Ocean: Spatial Variability, Source Identification, and Potential Influences

Seasonal variation and influence factors of river water isotopes in the East Asian monsoon region: a case study in the Xiangjiang River basin spanning 13 hydrological years

Seasonal variation and influence factors of river water isotopes in the East Asian monsoon region: A case study in Xiangjiang River basin spanning 13 hydrological years

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