Coevolution of volcanic catchments in Japan

Yoshida, Takeo; Troch, P. A.

doi:10.5194/hess-20-1133-2016

Cited by 25 publications

(25 citation statements)

References 43 publications

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“…To evaluate the role of groundwater contribution to SFR, we chose baseflow index (BFI) as hydrological signature. The BFI represents how extensive groundwater contribution is to streamflow [60]. It was calculated as a long-term ratio between Q b and Q t (Eq.…”

Section: Partitioning Of Streamflow Into Baseflow and Quickflowmentioning

confidence: 99%

Significant baseflow reduction in the Sao Francisco River Basin

Lucas¹,

Kublik²,

Rodrigues³

et al. 2020

Preprint

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Water scarcity is a key challenge to global development. In Brazil, the Sao Francisco River Basin (SFB) has experienced water scarcity problems because of decreasing streamflow and increasing demands from multiple sectors. However, the drivers of decreased streamflow, particularly the potential role of surface-groundwater interaction, have not been yet investigated. Here, we assess long-term trends in baseflow, quickflow, and streamflow of the SFB during 1980–2015 and constrain the most likely drivers of observed decreases through trend analysis of precipitation (P), evapotranspiration (ET), and terrestrial water storage change (TWS). We found that over 82% of the observed decrease in streamflow can be attributed to a significant decreasing baseflow trend (< -20 m3 s-1 y-1) along the SFR with spatial agreement between decreased baseflow, increased ET, and irrigated agricultural land. We also noted a decrease in TWS across the SFB with trends exceeding -20 mm y-1. Overall, our findings indicate that decreasing groundwater contributions (i.e., baseflow) is providing the observed reduction in total SFR flow. A lack of significant P trends indicates that only P variability likely has not caused the observed baseflow reduction, mainly in the Middle and Sub-middle SFB. Therefore, groundwater and surface withdrawals may be likely a driver of water scarcity over the SFB.

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Section: Partitioning Of Streamflow Into Baseflow and Quickflowmentioning

confidence: 99%

Significant baseflow reduction in the Sao Francisco River Basin

Lucas¹,

Kublik²,

Rodrigues³

et al. 2020

Preprint

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“…The younger soil was coarse textured with high saturated hydraulic conductivities along the profile and a rather low field capacity, whereas the older soil revealed a higher field capacity and a distinct reduction in saturated hydraulic conductivity throughout the profile due to clay accumulation. Yoshida and Troch (2016) observed a major change in flow paths from deep groundwater flow to shallow subsurface flow in volcanic catchments of ages between 200,000 and 82 million years.…”

mentioning

confidence: 99%

Field observations of soil hydrological flow path evolution over 10 Millennia

Hartmann¹,

Semenova²,

Weiler³

et al. 2020

Preprint

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Abstract. The presence or absence of preferential flow strongly controls water flow and transport in soils. It is ubiquitous, but difficult to characterize and predict. This study addresses the occurrence and the evolution of preferential flow during the evolution of landscapes, and here specifically during the evolution of hillslopes. We targeted a chronosequence of glacial moraines in the Swiss Alps to investigate how water flow paths evolve along with the soil forming processes. Dye tracer irrigation experiments with Brilliant Blue solution (4 g/l) were conducted on four moraines of different ages (30, 160, 3000, and 10 000 yrs). At each moraine, three dye tracer experiments were conducted on plots of 1.5 × 1.0 m. The three plots at each moraine were characterized by different vegetation complexities (low, medium, high). Each plot was further divided into three equal subplots for the application of three different irrigation amounts (20, 40, 60 mm) with an average irrigation intensity of 20 mm/h. The day after the experiment five vertical soil sections were excavated and the stained flow paths were photographed. Digital image analysis was used to derive average infiltration depths and flow path characteristics such as the volume and surface density of the dye patterns. Based on the volume density, the observed dye patterns were assigned to specific flow type categories. The results show a significant change in type of preferential flow paths along the chronosequence. The flow types change from a rather homogeneous gravity driven matrix flow in coarse material with high conductivities and a sparse vegetation cover at the youngest moraine to a heterogeneous infiltration pattern at the medium-age moraines. Heterogeneous matrix and finger flow are dominant at these intermediate age classes. At the oldest moraine only macro pore flow via root channels was observed in deeper parts of the soil, in combination with a very high water storage capacity of the organic top layer and low hydraulic conductivity of the deeper soil. In general, we found an increase in water storage with increasing age of the moraines, based on our observations of the reduction in infiltration depth as well as laboratory measurements of porosity. Preferential flow is, however, not only caused by macropores, but especially for the medium age moraine seems to be initiated mainly by soil surface characteristics (vegetation patches and micro-topography).

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“…Here, we discuss the possible reason of the difference is related to the geologic settings in different regions. (Yoshida and Troch 2016), (Shimizu 1980;Mushiake et al 1981). These previous studies follow data driven approach focusing more on flow duration curves and baseflow.…”

Section: Discussion Can the Default Rri Model Reproduce The Observedmentioning

confidence: 99%

Ensemble Flash Flood Predictions Using a High-Resolution Nationwide Distributed Rainfall-Runoff Model: Case Study of the Heavy Rain Event of July 2018 and Typhoon Hagibis in 2019

Sayama

Yamada

Sugawara

et al. 2020

Preprint

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Abstract The heavy rain event of July 2018 and Typhoon Hagibis in October 2019 caused severe flash flood disasters in numerous parts of western and eastern Japan. Flash floods need to be predicted over a wide range with long forecasting lead time for effective evacuation. The predictability of flash floods caused by the two extreme events are investigated by using a high-resolution (~ 150 m) nationwide distributed rainfall-runoff model forced by ensemble precipitation forecasts with 39-h lead time. Results of the deterministic simulation at nowcasting mode with radar and gauge composite rainfall could reasonably simulate the storm runoff hydrographs at many dam reservoirs over western Japan for the case of heavy rainfall in 2018 (F18) with the default parameter setting. For the case of Typhoon Hagibis in 2019 (T19), a similar performance was obtained by incorporating unsaturated flow effect in the model applied to Kanto region. The performance of the ensemble forecast was evaluated based on the bias scores and the relative operating characteristic curves, which suggested the higher predictability in peak runoff for T19. For the F18, the uncertainty arises due to the difficulty in accurately forecasting the storm positions by the frontal zone; as a result, the actual distribution of the peak runoff could not be well forecasted. Overall, this study showed that the predictability of flash floods was different between the two extreme events. The ensemble spreads contain quantitative information of predictive uncertainty, which can be utilized for the decision making of emergency responses against flash floods.

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Coevolution of volcanic catchments in Japan

Cited by 25 publications

References 43 publications

Significant baseflow reduction in the Sao Francisco River Basin

Significant baseflow reduction in the Sao Francisco River Basin

Field observations of soil hydrological flow path evolution over 10 Millennia

Ensemble Flash Flood Predictions Using a High-Resolution Nationwide Distributed Rainfall-Runoff Model: Case Study of the Heavy Rain Event of July 2018 and Typhoon Hagibis in 2019

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