Effect of precipitation-influenced river influx on Lake Biwa water levels: time scale analysis based on an impulse response function

Iwaki, Maho; Yamashiki, Yousuke; Muraoka, Kohji; Toda, Takashi; Chen, Jiao; Kumagai, Michio

doi:10.1080/20442041.2020.1712952

Cited by 3 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because h(τ) specifies the relationship of x(t) and y(t), it should reflect the process of how the lake level is affected by rainfall [37]. Here, h(τ) was determined using Equation (1) as an integral equation, as shown in the flow chart for calculating the response function (Appendix A) [22]. Since y(t) and x(t) are observable values, we can find h(τ) by solving Equation (1) as an integral equation.…”

Section: Impulse Response Functionmentioning

confidence: 99%

“…The average retention time of precipitation at a subsurface of a catchment area and the duration it might take to affect lake levels can be estimated by calculating a response time of lake levels from given precipitation events [22]. The water level of a lake represents the balance of various forms of inputs and outputs, and each element has a unique temporal and spatial frequency scale.…”

Section: Introductionmentioning

confidence: 99%

“…Impulse response functions describe the causal relationships between the input and output factors. They can be used to determine the time delay it takes for precipitation in the catchment to take effect on the water level of water bodies [22]. In hydrology, this method has been successfully applied to rivers and groundwater [24][25][26], but not to lakes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of the Average Retention Time of Precipitation at the Surface of a Catchment Area for Lake Biwa

Iwaki

Yamashiki

Toda

et al. 2021

Water

Self Cite

View full text Add to dashboard Cite

In a lake catchment system, we analyzed the lake water-level responses to precipitation. Moreover, we identified the average precipitation retention time—due to subsurface flows—from the delay time calculated using the response function with data of water level and catchment precipitation (both rainfall and snowfall) collected over 30 years of continuous observations of Lake Biwa, Japan. We focused on the snow reserves and the water-level response delay due to the snowmelt of Lake Biwa catchment. We concluded that the average precipitation retention time of the catchment subsurface flow (i.e., above the impermeable layer) in Lake Biwa was approximately 45 days. Additionally, the precipitation retention time during snowmelt was shorter than that during the dry season. Overall, the shape of the response function reflects the lake system. This knowledge improves the understanding of lake systems and can be helpful for lake resource managers. Furthermore, finding the delay time from the response function may be useful for determining the contribution of rainfall to increasing the water levels of other lakes. Therefore, our results can contribute to the development of management strategies to address inland aquatic ecosystems and conservation.

show abstract

Section: Impulse Response Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of the Average Retention Time of Precipitation at the Surface of a Catchment Area for Lake Biwa

Iwaki

Yamashiki

Toda

et al. 2021

Water

Self Cite

View full text Add to dashboard Cite

show abstract

Assessing the ecological effects of hydromorphological pressures on European lakes

2019

View full text Add to dashboard Cite

In European countries, hydromorphological (HyMo) pressures are the second most commonly occurring types of pressures on aquatic ecosystems (after eutrophication). HyMo pressures (i.e., man-made alterations to the hydrology and morphometry of aquatic ecosystems) impact the functioning of lakes and rivers in multiple ways. Initially, they have profound effects on littoral communities, such as macrophytes, benthic invertebrates, and fish. Ultimately, they result in pervasive alteration of whole-lake ecosystems. Extensive efforts have been devoted to the development of ecological assessment methods and management measures focusing mainly on eutrophication, whereas HyMo alterations are less understood and not properly addressed. We attempted to clarify the conceptual background, to highlight achievements in method development, including pressure-response relationships and metrics used in assessment, and to underscore issues requiring urgent attention. We concluded that the currently used biological methods do not reliably address HyMo alterations. The need to develop specifically responding biological and HyMo assessment methods and to measure the necessary variables in routine monitoring programs is urgent. This review paper also serves as an introductory article to a small special series of papers on the ecological impacts of water level fluctuations. Papers in this series include an updated literature review on the ecological effects of water level fluctuations on lake macroinvertebrates, a review article specifically devoted to water level fluctuations indicators in the littoral of natural and artificial lakes, and a paper addressing the relationships between water level fluctuation alteration and spatial and temporal patterns of cladoceran communities in a dammed lake.

show abstract

An Estimation of Precipitation Retention Time Using Depth Metres in the Northern Basin of Lake Biwa

2022

View full text Add to dashboard Cite

To facilitate climate change adaptations and water management, estimates of precipitation retention time (time required for precipitation to reach a lake) can help to accurately determine a water body’s terrestrial water storage capacity and water cycle. Although estimating the precipitation retention time on land is difficult, estimating the lag between precipitation on land and a rise in lake water levels is possible. In this study, the delay times (using a depth metre installed in the mooring system in the northern basin of Lake Biwa from August 2017 to October 2018) were calculated using response functions, and it evaluated the precipitation retention time in the catchment. However, as several delays between the river surface flow (<1 d) and shallow subsurface flow (≈45 d) remained unidentified, the delay times resulting from direct precipitation on the lake as well as from internal seiches were determined. The results suggest that delay times of approximately 20 d correspond to the paddy–waterway system between the river inflow and the subsurface flow, and that this effect corresponds to that of large rivers such as the Ane River. These findings can enhance water management strategies regarding the regulation of river flows, adapting to climate change-induced fluctuations in precipitation.

show abstract

Effect of precipitation-influenced river influx on Lake Biwa water levels: time scale analysis based on an impulse response function

Cited by 3 publications

References 21 publications

Estimation of the Average Retention Time of Precipitation at the Surface of a Catchment Area for Lake Biwa

Estimation of the Average Retention Time of Precipitation at the Surface of a Catchment Area for Lake Biwa

Assessing the ecological effects of hydromorphological pressures on European lakes

An Estimation of Precipitation Retention Time Using Depth Metres in the Northern Basin of Lake Biwa

Contact Info

Product

Resources

About